commit ce18b0c7926f956bd959ba39b7188258c86f215b Author: ShqWW Date: Wed Aug 7 12:35:26 2024 +0800 init diff --git a/Anaconda3-2024.06-1-Linux-s390x.sh b/Anaconda3-2024.06-1-Linux-s390x.sh new file mode 100644 index 0000000..ad29869 --- /dev/null +++ b/Anaconda3-2024.06-1-Linux-s390x.sh @@ -0,0 +1,5196 @@ +#!/bin/sh +# +# Created by constructor 3.8.0 +# +# NAME: Anaconda3 +# VER: 2024.06-1 +# PLAT: linux-s390x +# MD5: 20229c6607b017fdf682deb3962220c0 + +set -eu + +export OLD_LD_LIBRARY_PATH="${LD_LIBRARY_PATH:-}" +unset LD_LIBRARY_PATH +if ! echo "$0" | grep '\.sh$' > /dev/null; then + printf 'Please run using "bash"/"dash"/"sh"/"zsh", but not "." or "source".\n' >&2 + return 1 +fi + +# Export variables to make installer metadata available to pre/post install scripts +# NOTE: If more vars are added, make sure to update the examples/scripts tests too + + # Templated extra environment variable(s) +export INSTALLER_NAME='Anaconda3' +export INSTALLER_VER='2024.06-1' +export INSTALLER_PLAT='linux-s390x' +export INSTALLER_TYPE="SH" + +THIS_DIR=$(DIRNAME=$(dirname "$0"); cd "$DIRNAME"; pwd) +THIS_FILE=$(basename "$0") +THIS_PATH="$THIS_DIR/$THIS_FILE" +PREFIX="${HOME:-/opt}/anaconda3" +BATCH=0 +FORCE=0 +KEEP_PKGS=1 +SKIP_SCRIPTS=0 +SKIP_SHORTCUTS=0 +TEST=0 +REINSTALL=0 +USAGE=" +usage: $0 [options] + +Installs ${INSTALLER_NAME} ${INSTALLER_VER} + +-b run install in batch mode (without manual intervention), + it is expected the license terms (if any) are agreed upon +-f no error if install prefix already exists +-h print this help message and exit +-p PREFIX install prefix, defaults to $PREFIX, must not contain spaces. +-s skip running pre/post-link/install scripts +-m disable the creation of menu items / shortcuts +-u update an existing installation +-t run package tests after installation (may install conda-build) +" + +# We used to have a getopt version here, falling back to getopts if needed +# However getopt is not standardized and the version on Mac has different +# behaviour. getopts is good enough for what we need :) +# More info: https://unix.stackexchange.com/questions/62950/ +while getopts "bifhkp:smut" x; do + case "$x" in + h) + printf "%s\\n" "$USAGE" + exit 2 + ;; + b) + BATCH=1 + ;; + i) + BATCH=0 + ;; + f) + FORCE=1 + ;; + k) + KEEP_PKGS=1 + ;; + p) + PREFIX="$OPTARG" + ;; + s) + SKIP_SCRIPTS=1 + ;; + m) + SKIP_SHORTCUTS=1 + ;; + u) + FORCE=1 + ;; + t) + TEST=1 + ;; + ?) + printf "ERROR: did not recognize option '%s', please try -h\\n" "$x" + exit 1 + ;; + esac +done + +# For testing, keep the package cache around longer +CLEAR_AFTER_TEST=0 +if [ "$TEST" = "1" ] && [ "$KEEP_PKGS" = "0" ]; then + CLEAR_AFTER_TEST=1 + KEEP_PKGS=1 +fi + +if [ "$BATCH" = "0" ] # interactive mode +then + if [ "$(uname -m)" != "s390x" ]; then + printf "WARNING:\\n" + printf " Your machine hardware does not appear to be s390x (big endian), \\n" + printf " but you are trying to install a s390x version of %s.\\n" "${INSTALLER_NAME}" + printf " Are sure you want to continue the installation? [yes|no]\\n" + printf "[no] >>> " + read -r ans + ans=$(echo "${ans}" | tr '[:lower:]' '[:upper:]') + if [ "$ans" != "YES" ] && [ "$ans" != "Y" ] + then + printf "Aborting installation\\n" + exit 2 + fi + fi + if [ "$(uname)" != "Linux" ]; then + printf "WARNING:\\n" + printf " Your operating system does not appear to be Linux, \\n" + printf " but you are trying to install a Linux version of %s.\\n" "${INSTALLER_NAME}" + printf " Are sure you want to continue the installation? [yes|no]\\n" + printf "[no] >>> " + read -r ans + ans=$(echo "${ans}" | tr '[:lower:]' '[:upper:]') + if [ "$ans" != "YES" ] && [ "$ans" != "Y" ] + then + printf "Aborting installation\\n" + exit 2 + fi + fi + printf "\\n" + printf "Welcome to %s %s\\n" "${INSTALLER_NAME}" "${INSTALLER_VER}" + printf "\\n" + printf "In order to continue the installation process, please review the license\\n" + printf "agreement.\\n" + printf "Please, press ENTER to continue\\n" + printf ">>> " + read -r dummy + pager="cat" + if command -v "more" > /dev/null 2>&1; then + pager="more" + fi + "$pager" <<'EOF' +ANACONDA TERMS OF SERVICE +Please read these Terms of Service carefully before purchasing, using, accessing, or downloading any Anaconda Offerings (the "Offerings"). These Anaconda Terms of Service ("TOS") are between Anaconda, Inc. ("Anaconda") and you ("You"), the individual or entity acquiring and/or providing access to the Offerings. These TOS govern Your access, download, installation, or use of the Anaconda Offerings, which are provided to You in combination with the terms set forth in the applicable Offering Description, and are hereby incorporated into these TOS. Except where indicated otherwise, references to "You" shall include Your Users. You hereby acknowledge that these TOS are binding, and You affirm and signify your consent to these TOS by registering to, using, installing, downloading, or accessing the Anaconda Offerings effective as of the date of first registration, use, install, download or access, as applicable (the "Effective Date"). Capitalized definitions not otherwise defined herein are set forth in Section 15 (Definitions). If You do not agree to these Terms of Service, You must not register, use, install, download, or access the Anaconda Offerings. +1. ACCESS & USE +1.1 General License Grant. Subject to compliance with these TOS and any applicable Offering Description, Anaconda grants You a personal, non-exclusive, non-transferable, non-sublicensable, revocable, limited right to use the applicable Anaconda Offering strictly as detailed herein and as set forth in a relevant Offering Description. If You purchase a subscription to an Offering as set forth in a relevant Order, then the license grant(s) applicable to your access, download, installation, or use of a specific Anaconda Offering will be set forth in the relevant Offering Description and any definitive agreement which may be executed by you in writing or electronic in connection with your Order ("Custom Agreement"). License grants for specific Anaconda Offerings are set forth in the relevant Offering Description, if applicable. +1.2 License Restrictions. Unless expressly agreed by Anaconda, You may not: (a) Make, sell, resell, license, sublicense, distribute, rent, or lease any Offerings available to anyone other than You or Your Users, unless expressly stated otherwise in an Order, Custom Agreement or the Documentation or as otherwise expressly permitted in writing by Anaconda; (b) Use the Offerings to store or transmit infringing, libelous, or otherwise unlawful or tortious material, or to store or transmit material in violation of third-party privacy rights; (c) Use the Offerings or Third Party Services to store or transmit Malicious Code, or attempt to gain unauthorized access to any Offerings or Third Party Services or their related systems or networks; (d)Interfere with or disrupt the integrity or performance of any Offerings or Third Party Services, or third-party data contained therein; (e) Permit direct or indirect access to or use of any Offerings or Third Party Services in a way that circumvents a contractual usage limit, or use any Offerings to access, copy or use any Anaconda intellectual property except as permitted under these TOS, a Custom Agreement, an Order or the Documentation; (f) Modify, copy or create derivative works of the Offerings or any part, feature, function or user interface thereof except, and then solely to the extent that, such activity is required to be permitted under applicable law; (g) Copy Content except as permitted herein or in an Order, a Custom Agreement or the Documentation or republish any material portion of any Offering in a manner competitive with the offering by Anaconda, including republication on another website or redistribute or embed any or all Offerings in a commercial product for redistribution or resale; (h) Frame or Mirror any part of any Content or Offerings, except if and to the extent permitted in an applicable Custom Agreement or Order for your own Internal Use and as permitted in a Custom Agreement or Documentation; (i) Except and then solely to the extent required to be permitted by applicable law, copy, disassemble, reverse engineer, or decompile an Offering, or access an Offering to build a competitive service by copying or using similar ideas, features, functions or graphics of the Offering. You may not use any "deep-link", "page-scrape", "robot", "spider" or other automatic device, program, algorithm or methodology, or any similar or equivalent manual process, to access, acquire, copy or monitor any portion of our Offerings or Content. Anaconda reserves the right to end any such activity. If You would like to redistribute or embed any Offering in any product You are developing, please contact the Anaconda team for a third party redistribution commercial license. +2. USERS & LICENSING +2.1 Organizational Use. Your registration, download, use, installation, access, or enjoyment of all Anaconda Offerings on behalf of an organization that has two hundred (200) or more employees or contractors ("Organizational Use") requires a paid license of Anaconda Business or Anaconda Enterprise. For sake of clarity, use by government entities and nonprofit entities with over 200 employees or contractors is considered Organizational Use. Purchasing Starter tier license(s) does not satisfy the Organizational Use paid license requirement set forth in this Section 2.1. Educational Entities will be exempt from the paid license requirement, provided that the use of the Anaconda Offering(s) is solely limited to being used for a curriculum-based course. Anaconda reserves the right to monitor the registration, download, use, installation, access, or enjoyment of the Anaconda Offerings to ensure it is part of a curriculum. +2.2 Use by Authorized Users. Your "Authorized Users" are your employees, agents, and independent contractors (including outsourcing service providers) who you authorize to use the Anaconda Offering(s) on Your behalf for Your Internal Use, provided that You are responsible for: (a) ensuring that such Authorized Users comply with these TOS or an applicable Custom Agreement; and (b) any breach of these TOS by such Authorized Users. +2.3 Use by Your Affiliates. Your Affiliates may use the Anaconda Offering(s) on Your behalf for Your Internal Use only with prior written approval from Anaconda. Such Affiliate usage is limited to those Affiliates who were defined as such upon the Effective Date of these TOS. Usage by organizations who become Your Affiliates after the Effective Date may require a separate license, at Anaconda's discretion. +2.4 Licenses for Systems. For each End User Computing Device ("EUCD") (i.e. laptops, desktop devices) one license covers one installation and a reasonable number of virtual installations on the EUCD (e.g. Docker, VirtualBox, Parallels, etc.). Any other installations, usage, deployments, or access must have an individual license per each additional usage. +2.5 Mirroring. You may only Mirror the Anaconda Offerings with the purchase of a Site License unless explicitly included in an Order Form or Custom Agreement. +2.6 Beta Offerings. Anaconda provides Beta Offerings "AS-IS" without support or any express or implied warranty or indemnity for any problems or issue s, and Anaconda has no liability relating to Your use of the Beta Offerings. Unless agreed in writing by Anaconda, You will not put Beta Offerings into production use. You may only use the Beta Offerings for the period specified by Anaconda in writing; (b) Anaconda, in its discretion, may stop providing the Beta Offerings at any time, at which point You must immediately cease using the Beta Offering(s); and (c) Beta Offerings may contain bugs, errors, or other issues.. +2.7 Content. In consideration of Your payment of Subscription Fees, Anaconda hereby grants to You and Your Users a personal, non-exclusive, non-transferable, non-sublicensable, revocable, limited right and license during the Usage Term to access, input, use, transmit, copy, process, and measure the Content solely (1) within the Offerings and to the extent required to enable the ordinary and unmodified functionality of the Offerings as described in the Offering descriptions, and (2) for your Internal Use. Customer hereby acknowledge that the grant hereunder is solely being provided for your Internal Use and not to modify or to create any derivatives based on the Content. +3. ANACONDA OFFERINGS +3.1 Upgrades or Additional Copies of Offerings. You may only use additional copies of the Offerings beyond Your Order if You have acquired such rights under an agreement with Anaconda and you may only use Upgrades under Your Order to the extent you have discontinued use of prior versions of the Offerings. +3.2 Changes to Offerings; Maintenance. Anaconda may: (a) enhance or refine an Offering, although in doing so, Anaconda will not materially reduce the core functionality of that Offering, except as contemplated in Section 3.4 (End of Life); and (b) perform scheduled maintenance of the infrastructure and software used to provide an Offering, during which You may experience some disruption to that Offering. Whenever reasonably practicable, Anaconda will provide You with advance notice of such maintenance. You acknowledge that occasionally, Anaconda may need to perform emergency maintenance without providing You advance notice, during which Anaconda may temporarily suspend Your access to, and use of, the Offering. +3.3 Use with Third Party Products. If You use the Anaconda Offering(s) with third party products, such use is at Your risk. Anaconda does not provide support or guarantee ongoing integration support for products that are not a native part of the Anaconda Offering(s). +3.4 End of Life. Anaconda reserves the right to discontinue the availability of an Anaconda Offering, including its component functionality, hereinafter referred to as "End of Life" or "EOL", by providing written notice through its official website, accessible at www.anaconda.com at least sixty (60) days prior to the EOL. In such instances, Anaconda is under no obligation to provide support in the transition away from the EOL Offering or feature, You shall transition to the latest version of the Anaconda Offering, as soon as the newest Version is released in order to maintain uninterrupted service. In the event that You or Your designated Anaconda Partner have previously remitted a prepaid fee for the utilization of Anaconda Offering, and if the said Offering becomes subject to End of Life (EOL) before the end of an existing Usage Term, Anaconda shall undertake commercially reasonable efforts to provide the necessary information to facilitate a smooth transition to an alternative Anaconda Offering that bears substantial similarity in terms of functionality and capabilities. Anaconda will not be held liable for any direct or indirect consequences arising from the EOL of an Offering or feature, including but not limited to data loss, service interruption, or any impact on business operations. +4. OPEN SOURCE, CONTENT & APPLICATIONS +4.1 Open-Source Software & Packages. Our Offerings include open-source libraries, components, utilities, and third-party software that is distributed or otherwise made available as "free software," "open-source software," or under a similar licensing or distribution model ("Open-Source Software"), which may be subject to third party open-source license terms (the "Open-Source Terms"). Certain Offerings are intended for use with open-source Python and R software packages and tools for statistical computing and graphical analysis ("Packages"), which are made available in source code form by third parties and Community Users. As such, certain Offerings interoperate with certain Open-Source Software components, including without limitation Open Source Packages, as part of its basic functionality; and to use certain Offerings, You will need to separately license Open-Source Software and Packages from the licensor. Anaconda is not responsible for Open-Source Software or Packages and does not assume any obligations or liability with respect to You or Your Users' use of Open-Source Software or Packages. Notwithstanding anything to the contrary, Anaconda makes no warranty or indemnity hereunder with respect to any Open-Source Software or Packages. Some of such Open-Source Terms or other license agreements applicable to Packages determine that to the extent applicable to the respective Open-Source Software or Packages licensed thereunder. Any such terms prevail over any conflicting license terms, including these TOS. Anaconda will use best efforts to use only Open-Source Software and Packages that do not impose any obligation or affect the Customer Data (as defined hereinafter) or Intellectual Property Rights of Customer (beyond what is stated in the Open-Source Terms and herein), on an ordinary use of our Offerings that do not involve any modification, distribution, or independent use of such Open-Source Software. +4.2 Open Source Project Affiliation. Anaconda's software packages are not affiliated with upstream open source projects. While Anaconda may distribute and adapt open source software packages for user convenience, such distribution does not imply any endorsement, approval, or validation of the original software's quality, security, or suitability for specific purposes. +4.3 Third-Party Services and Content. You may access or use, at Your sole discretion, certain third-party products, services, and Content that interoperate with the Offerings including, but not limited to: (a) third party Packages, components, applications, services, data, content, or resources found in the Offerings, and (b) third-party service integrations made available through the Offerings or APIs (collectively, "Third-Party Services"). Each Third-Party Service is governed by the applicable terms and policies of the third-party provider. The terms under which You access, use, or download Third-Party Services are solely between You and the applicable Third-Party Service provider. Anaconda does not make any representations, warranties, or guarantees regarding the Third-Party Services or the providers thereof, including, but not limited to, the Third-Party Services' continued availability, security, and integrity. Third-Party Services are made available by Anaconda on an "AS IS" and "AS AVAILABLE" basis, and Anaconda may cease providing them in the Offerings at any time in its sole discretion and You shall not be entitled to any refund, credit, or other compensation. +5. CUSTOMER CONTENT, APPLICATIONS & RESPONSIBILITIES +5.1 Customer Content and Applications. Your content remains your own. We assume no liability for the content you publish through our services. However, you must adhere to our Acceptable Use Policy while utilizing our platform. You can share your submitted Customer Content or Customer Applications with others using our Offerings. By sharing Your Content, you grant legal rights to those You give access to. Anaconda has no responsibility to enforce, police, or otherwise aid You in enforcing or policing the terms of the license(s) or permission(s) You have chosen to offer. Anaconda is not liable for third-party misuse of your submitted Customer Content or Customer Applications on our Offerings. Customer Applications does not include any derivative works that might be created out of open source where the license prohibits derivative works. +5.2 Removal of Customer Content and Applications. If You received a removal notification regarding any Customer Content or a Customer Application due to legal reasons or policy violations, you promptly must do so. If You don't comply or the violation persists, Anaconda may disable the Content or your access to the Content. If required, You must confirm in writing that you've deleted or stopped using the Customer Content or Customer Applications. Anaconda might also remove Customer Content or Customer Applications if requested by a Third-party rights holder whose rights have been violated. Anaconda isn't obliged to store or provide copies of Customer Content or Customer Applications that have been removed, is Your responsibility to maintain a back-up of Your Content. +5.3 Protecting Account Access. You will keep all account information up to date, use reasonable means to protect Your account information, passwords, and other login credentials, and promptly notify Anaconda of any known or suspected unauthorized use of or access to Your account. +6. YOUR DATA, PRIVACY & SECURITY +6.1 Your Data. Your Data, hereinafter "Customer Data", is any data, files, attachments, text, images, reports, personal information, or any other data that is, uploaded or submitted, transmitted, or otherwise made available, to or through the Offerings, by You or any of your Authorized Users and is processed by Anaconda on your behalf. For the avoidance of doubt, Anonymized Data is not regarded as Customer Data. You retain all right, title, interest, and control, in and to the Customer Data, in the form submitted to the Offerings. Subject to these TOS, You grant Anaconda a worldwide, royalty-free, non-exclusive license to store, access, use, process, copy, transmit, distribute, perform, export, and display the Customer Data, and solely to the extent that reformatting Customer Data for display in the Offerings constitutes a modification or derivative work, the foregoing license also includes the right to make modifications and derivative works. The aforementioned license is hereby granted solely: (i) to maintain, improve and provide You the Offerings; (ii) to prevent or address technical or security issues and resolve support requests; (iii) to investigate when we have a good faith belief, or have received a complaint alleging, that such Customer Data is in violation of these TOS; (iv) to comply with a valid legal subpoena, request, or other lawful process; (v) detect and avoid overage of use of our Offering and confirm compliance by Customer with these TOS and other applicable agreements and policies; (vi) to create Anonymized Data whether directly or through telemetry, and (vi) as expressly permitted in writing by You. Anaconda may use and retain your Account Information for business purposes related to these TOS and to the extent necessary to meet Anaconda's legal compliance obligations (including, for audit and anti-fraud purposes). We reserve the right to utilize aggregated data to enhance our Offerings functionality, ensure compliance, avoid Offering overuse, and derive insights from customer behavior, in strict adherence to our Privacy Policy. +6.2 Processing Customer Data. The ordinary operation of certain Offerings requires Customer Data to pass through Anaconda's network. To the extent that Anaconda processes Customer Data on your behalf that includes Personal Data, Anaconda will handle such Personal Data in compliance with our Data Processing Addendum. +6.3 Privacy Policy. If You obtained the Offering under these TOS, the conditions pertaining to the handling of your Personal Data, as described in our Privacy Policy, shall govern. However, in instances where your offering acquisition is executed through a Custom Agreement, the terms articulated within our Data Processing Agreement ("DPA") shall take precedence over our Privacy Policy concerning data processing matters. +6.4 Aggregated Data. Anaconda retains all right, title, and interest in the models, observations, reports, analyses, statistics, databases, and other information created, compiled, analyzed, generated or derived by Anaconda from platform, network, or traffic data in the course of providing the Offerings ("Aggregated Data"). To the extent the Aggregated Data includes any Personal Data, Anaconda will handle such Personal Data in compliance with applicable data protection laws and the Privacy Policy or DPA, as applicable. +6.5 Offering Security. Anaconda will implement industry standard security safeguards for the protection of Customer Confidential Information, including any Customer Content originating or transmitted from or processed by the Offerings and/or cached on or within Anaconda's network and stored within the Offerings in accordance with its policies and procedures. These safeguards include commercially reasonable administrative, technical, and organizational measures to protect Customer Content against destruction, loss, alteration, unauthorized disclosure, or unauthorized access, including such things as information security policies and procedures, security awareness training, threat and vulnerability management, incident response and breach notification, and vendor risk management procedures. +7. SUPPORT +7.1 Support Services. Anaconda offers Support Services that may be included with an Offering. Anaconda will provide the purchased level of Support Services in accordance with the terms of the Support Policy as detailed in the applicable Order. Unless ordered, Anaconda shall have no responsibility to deliver Support Services to You. The Support Service Levels and Tiers are described in the relevant Support Policy, found here. +7.2 Information Backups. You are aware of the risk that Your Content may be lost or irreparably damaged due to faults, suspension, or termination. While we might back up data, we cannot guarantee these backups will occur to meet your frequency needs or ensure successful recovery of Your Content. It is your obligation to back up any Content you wish to preserve. We bear no legal liability for the loss or damage of Your Content. +8. OWNERSHIP & INTELLECTUAL PROPERTY +8.1 General. Unless agreed in writing, nothing in these TOS transfers ownership in, or grants any license to, any Intellectual Property Rights. +8.2 Feedback. Anaconda may use any feedback You provide in connection with Your use of the Anaconda Offering(s) as part of its business operations. You hereby agree that any feedback provided to Anaconda will be the intellectual property of Anaconda without compensation to the provider, author, creator, or inventor of providing the feedback. +8.3 DMCA Compliance. You agree to adhere to our Digital Millennium Copyright Act (DMCA) policies established in our Acceptable Use Policy. +9. CONFIDENTIAL INFORMATION +9.1 Confidential Information. In connection with these TOS and the Offerings (including the evaluation thereof), each Party ("Discloser") may disclose to the other Party ("Recipient"), non-public business, product, technology and marketing information, including without limitation, customers lists and information, know-how, software and any other non-public information that is either identified as such or should reasonably be understood to be confidential given the nature of the information and the circumstances of disclosure, whether disclosed prior or after the Effective Date ("Confidential Information"). For the avoidance of doubt, (i) Customer Data is regarded as your Confidential Information, and (ii) our Offerings, including Beta Offerings, and inclusive of their underlying technology, and their respective performance information, as well as any data, reports, and materials we provided to You in connection with your evaluation or use of the Offerings, are regarded as our Confidential Information. Confidential Information does not include information that (a) is or becomes generally available to the public without breach of any obligation owed to the Discloser; (b) was known to the Recipient prior to its disclosure by the Discloser without breach of any obligation owed to the Discloser; (c) is received from a third party without breach of any obligation owed to the Discloser; or (d) was independently developed by the Recipient without any use or reference to the Confidential Information. +9.2 Confidentiality Obligations. The Recipient will (i) take at least reasonable measures to prevent the unauthorized disclosure or use of Confidential Information, and limit access to those employees, affiliates, service providers and agents, on a need to know basis and who are bound by confidentiality obligations at least as restrictive as those contained herein; and (ii) not use or disclose any Confidential Information to any third party, except as part of its performance under these TOS and to consultants and advisors to such party, provided that any such disclosure shall be governed by confidentiality obligations at least as restrictive as those contained herein. +9.3 Compelled Disclosure. Notwithstanding the above, Confidential Information may be disclosed pursuant to the order or requirement of a court, administrative agency, or other governmental body; provided, however, that to the extent legally permissible, the Recipient shall make best efforts to provide prompt written notice of such court order or requirement to the Discloser to enable the Discloser to seek a protective order or otherwise prevent or restrict such disclosure. +10. INDEMNIFICATION +10.1 By Customer. Customer hereby agree to indemnify, defend and hold harmless Anaconda and our Affiliates and their respective officers, directors, employees and agents from and against any and all claims, damages, obligations, liabilities, losses, reasonable expenses or costs incurred as a result of any third party claim arising from (i) You and/or any of your Authorized Users', violation of these TOS or applicable law; and/or (ii) Customer Data and/or Customer Content, including the use of Customer Data and/or Customer Content by Anaconda and/or any of our subcontractors, which infringes or violates, any third party's rights, including, without limitation, Intellectual Property Rights. +10.2 By Anaconda. Anaconda will defend any third party claim against You that Your valid use of Anaconda Offering(s) under Your Order infringes a third party's U.S. patent, copyright or U.S. registered trademark (the "IP Claim"). Anaconda will indemnify You against the final judgment entered by a court of competent jurisdiction or any settlements arising out of an IP Claim, provided that You: (a) promptly notify Anaconda in writing of the IP Claim; (b) fully cooperate with Anaconda in the defense of the IP Claim; and (c) grant Anaconda the right to exclusively control the defense and settlement of the IP Claim, and any subsequent appeal. Anaconda will have no obligation to reimburse You for Your attorney fees and costs in connection with any IP Claim for which Anaconda is providing defense and indemnification hereunder. You, at Your own expense, may retain Your own legal representation. +10.3 Additional Remedies. If an IP Claim is made and prevents Your exercise of the Usage Rights, Anaconda will either procure for You the right to continue using the Anaconda Offering(s), or replace or modify the Anaconda Offering(s) with functionality that is non-infringing. Only if Anaconda determines that these alternatives are not reasonably available, Anaconda may terminate Your Usage Rights granted under these TOS upon written notice to You and will refund You a prorated portion of the fee You paid for the Anaconda Offering(s) for the remainder of the unexpired Usage Term. +10.4 Exclusions. Anaconda has no obligation regarding any IP Claim based on: (a) compliance with any designs, specifications, or requirements You provide or a third party provides; (b) Your modification of any Anaconda Offering(s) or modification by a third party; (c) the amount or duration of use made of the Anaconda Offering(s), revenue You earned, or services You offered; (d) combination, operation, or use of the Anaconda Offering(s) with non-Anaconda products, software or business processes; (e) Your failure to modify or replace the Anaconda Offering(s) as required by Anaconda; or (f) any Anaconda Offering(s) provided on a no charge, beta or evaluation basis; or (g) your use of the Open Source Software and/or Third Party Services made available to You within the Anaconda Offerings. +10.5 Exclusive Remedy. This Section 9 (Indemnification) states Anaconda's entire obligation and Your exclusive remedy regarding any IP Claim against You. +11. LIMITATION OF LIABILITY +11.1 Limitation of Liability. Neither Party will be liable for indirect, incidental, exemplary, punitive, special or consequential damages; loss or corruption of data or interruption or loss of business; or loss of revenues, profits, goodwill or anticipated sales or savings except as a result of violation of Anaconda's Intellectual Property Rights. Except as a result of violation of Anaconda's Intellectual Property Rights, the maximum aggregate liability of each party under these TOS is limited to: (a) for claims solely arising from software licensed on a perpetual basis, the fees received by Anaconda for that Offering; or (b) for all other claims, the fees received by Anaconda for the applicable Anaconda Offering and attributable to the 12 month period immediately preceding the first claim giving rise to such liability; provided if no fees have been received by Anaconda, the maximum aggregate liability shall be one hundred US dollars ($100). This limitation of liability applies whether the claims are in warranty, contract, tort (including negligence), infringement, or otherwise, even if either party has been advised of the possibility of such damages. Nothing in these TOS limits or excludes any liability that cannot be limited or excluded under applicable law. This limitation of liability is cumulative and not per incident. +12. FEES & PAYMENT +12.1 Fees. Orders for the Anaconda Offering(s) are non-cancellable. Fees for Your use of an Anaconda Offering are set out in Your Order or similar purchase terms with Your Approved Source. If payment is not received within the specified payment terms, any overdue and unpaid balances will be charged interest at a rate of five percent (5%) per month, charged daily until the balance is paid. +12.2 Billing. You agree to provide us with updated, accurate, and complete billing information, and You hereby authorize Anaconda, either directly or through our payment processing service or our Affiliates, to charge the applicable Fees set forth in Your Order via your selected payment method, upon the due date. Unless expressly set forth herein, the Fees are non-cancelable and non-refundable. We reserve the right to change the Fees at any time, upon notice to You if such change may affect your existing Subscriptions or other renewable services upon renewal. In the event of failure to collect the Fees You owe, we may, at our sole discretion (but shall not be obligated to), retry to collect at a later time, and/or suspend or cancel the Account, without notice. If You pay fees by credit card, Anaconda will charge the credit card in accordance with Your Subscription plan. You remain liable for any fees which are rejected by the card issuer or charged back to Anaconda. +12.3 Taxes. The Fees are exclusive of any and all taxes (including without limitation, value added tax, sales tax, use tax, excise, goods and services tax, etc.), levies, or duties, which may be imposed in respect of these TOS and the purchase or sale, of the Offerings or other services set forth in the Order (the "Taxes"), except for Taxes imposed on our income. +12.4 Payment Through Anaconda Partner. If You purchased an Offering from an Anaconda Partner or other Approved Source, then to the extent there is any conflict between these TOS and any terms of service entered between You and the respective Partner, including any purchase order, then, as between You and Anaconda, these TOS shall prevail. Any rights granted to You and/or any of the other Users in a separate agreement with a Partner which are not contained in these TOS, apply only in connection vis a vis the Partner. +13. TERM, TERMINATION & SUSPENSION +13.1 Subscription Term. The Offerings are provided on a subscription basis for the term specified in your Order (the "Subscription Term"). The termination or suspension of an individual Order will not terminate or suspend any other Order. If these TOS are terminated in whole, all outstanding Order(s) will terminate. +13.2 Subscription Auto-Renewal. To prevent interruption or loss of service when using the Offerings or any Subscription and Support Services will renew automatically, unless You cancel your license to the Offering, Subscription or Support Services agreement prior to their expiration. +13.3 Termination. If a party materially breaches these TOS and does not cure that breach within 30 days after receipt of written notice of the breach, the non-breaching party may terminate these TOS for cause. Anaconda may immediately terminate your Usage Rights if You breach Section 1 (Access & Use), Section 4 (Open Source, Content & Applications), Section 8 (Ownership & Intellectual Property) or Section 16.10 (Export) or any of the Offering Descriptions. +13.4 Survival. Section 8 (Ownership & Intellectual Property), Section 6.4 (Aggregated Data), Section 9 (Confidential Information), Section 9.3 (Warranty Disclaimer), Section 12 (Limitation of Liability), Section 14 (Term, Termination & Suspension), obligations to make payment under Section 13 which accrued prior to termination (Fees & Payment), Section 14.4 (Survival), Section 14.5 (Effect of Termination), Section 15 (Records, User Count) and Section 16 (General Provisions) survive termination or expiration of these TOS. +13.5 Effect of Termination. Upon termination of the TOS, You must stop using the Anaconda Offering(s) and destroy any copies of Anaconda Proprietary Technology and Confidential Information within Your control. Upon Anaconda's termination of these TOS for Your material breach, You will pay Anaconda or the Approved Source any unpaid fees through to the end of the then-current Usage Term. If You continue to use or access any Anaconda Offering(s) after termination, Anaconda or the Approved Source may invoice You, and You agree to pay, for such continued use. Anaconda may require evidence of compliance with this Section 13. Upon request, you agree to provide evidence of compliance to Anaconda demonstrating that all proprietary Anaconda Offering(s) or components thereof have been removed from your systems. Such evidence may be in the form of a system scan report or other similarly detailed method. +13.6 Excessive Usage. We shall have the right to throttle or restrict Your access to the Offerings where we, at our sole discretion, believe that You and/or any of your Authorized Users, have misused the Offerings or otherwise use the Offerings in an excessive manner compared to the anticipated standard use (at our sole discretion) of the Offerings, including, without limitation, excessive network traffic and bandwidth, size and/or length of Content, quality and/or format of Content, sources of Content, volume of download time, etc. +14. RECORDS, USER COUNT +14.1 Verification Records. During the Usage Term and for a period of thirty six (36) months after its expiry or termination, You will take reasonable steps to maintain complete and accurate records of Your use of the Anaconda Offering(s) sufficient to verify compliance with these TOS ("Verification Records"). Upon reasonable advance notice, and no more than once per 12 month period unless the prior review showed a breach by You, You will, within thirty (30) days from Anaconda's notice, allow Anaconda and/or its auditors access to the Verification Records and any applicable books, systems (including Anaconda product(s) or other equipment), and accounts during Your normal business hours. +14.2 Quarterly User Count. In accordance with the pricing structure stipulated within the relevant Order Form and this Agreement, in instances where the pricing assessment is contingent upon the number of users, Anaconda will conduct a periodic true-up on a quarterly basis to ascertain the alignment between the actual number of users utilizing the services and the initially reported user count, and to assess for any unauthorized or noncompliant usage. +14.3 Penalties for Overage or Noncompliant Use. Should the actual user count exceed the figure initially provided, or unauthorized usage is uncovered, the contracting party shall remunerate the difference to Anaconda, encompassing the additional users or noncompliant use in compliance with Anaconda's then-current pricing terms. The payment for such difference shall be due in accordance with the invoicing and payment provisions specified in these TOS and/or within the relevant Order and the Agreement. In the event there is no custom commercial agreement beyond these TOS between You and Anaconda at the time of a true-up pursuant to Section 13.2, and said true-up uncovers unauthorized or noncompliant usage, You will remunerate Anaconda via a back bill for any fees owed as a result of all unauthorized usage after April of 2020. Fees may be waived by Anaconda at its discretion. +15. GENERAL PROVISIONS +15.1 Order of Precedence. If there is any conflict between these TOS and any Offering Description expressly referenced in these TOS, the order of precedence is: (a) such Offering Description; (b) these TOS (excluding the Offering Description and any Anaconda policies); then (c) any applicable Anaconda policy expressly referenced in these TOS and any agreement expressly incorporated by reference. If there is a Custom Agreement, the Custom Agreement shall control over these TOS. +15.2 Entire Agreement. These TOS are the complete agreement between the parties regarding the subject matter of these TOS and supersedes all prior or contemporaneous communications, understandings or agreements (whether written or oral) unless a Custom Agreement has been executed where, in such case, the Custom Agreement shall continue in full force and effect and shall control. +15.3 Modifications to the TOS. Anaconda may change these TOS or any of its components by updating these TOS on legal.anaconda.com/terms-of-service. Changes to the TOS apply to any Orders acquired or renewed after the date of modification. +15.4 Third Party Beneficiaries. These TOS do not grant any right or cause of action to any third party. +15.5 Assignment. Anaconda may assign this Agreement to (a) an Affiliate; or (b) a successor or acquirer pursuant to a merger or sale of all or substantially all of such party's assets at any time and without written notice. Subject to the foregoing, this Agreement will be binding upon and will inure to the benefit of Anaconda and their respective successors and permitted assigns. +15.6 US Government End Users. The Offerings and Documentation are deemed to be "commercial computer software" and "commercial computer software documentation" pursuant to FAR 12.212 and DFARS 227.7202. All US Government end users acquire the Offering(s) and Documentation with only those rights set forth in these TOS. Any provisions that are inconsistent with federal procurement regulations are not enforceable against the US Government. In no event shall source code be provided or considered to be a deliverable or a software deliverable under these TOS. +15.7 Anaconda Partner Transactions. If You purchase access to an Anaconda Offering from an Anaconda Partner, the terms of these TOS apply to Your use of that Anaconda Offering and prevail over any inconsistent provisions in Your agreement with the Anaconda Partner. +15.8 Children and Minors. If You are under 18 years old, then by entering into these TOS You explicitly stipulate that (i) You have legal capacity to consent to these TOS or Your parent or legal guardian has done so on Your behalf; (ii) You understand the Anaconda Privacy Policy; and (iii) You understand that certain underage users are strictly prohibited from using certain features and functionalities provided by the Anaconda Offering(s). You may not enter into these TOS if You are under 13 years old. Anaconda does not intentionally seek to collect or solicit personal information from individuals under the age of 13. In the event we become aware that we have inadvertently obtained personal information from a child under the age of 13 without appropriate parental consent, we shall expeditiously delete such information. If applicable law allows the utilization of an Offering with parental consent, such consent shall be demonstrated in accordance with the prescribed process outlined by Anaconda's Privacy Policy for obtaining parental approval. +15.9 Compliance with Laws. Each party will comply with all laws and regulations applicable to their respective obligations under these TOS. +15.10 Export. The Anaconda Offerings are subject to U.S. and local export control and sanctions laws. You acknowledge and agree to the applicability of and Your compliance with those laws, and You will not receive, use, transfer, export or re-export any Anaconda Offerings in a way that would cause Anaconda to violate those laws. You also agree to obtain any required licenses or authorizations. Without limiting the foregoing, You may not acquire Offerings if: (1) you are in, under the control of, or a national or resident of Cuba, Iran, North Korea, Sudan or Syria or if you are on the U.S. Treasury Department's Specially Designated Nationals List or the U.S. Commerce Department's Denied Persons List, Unverified List or Entity List or (2) you intend to supply the acquired goods, services or software to Cuba, Iran, North Korea, Sudan or Syria (or a national or resident of one of these countries) or to a person on the Specially Designated Nationals List, Denied Persons List, Unverified List or Entity List. +15.11 Governing Law and Venue. THESE TOS, AND ANY DISPUTES ARISING FROM THEM, WILL BE GOVERNED EXCLUSIVELY BY THE GOVERNING LAW OF DELAWARE AND WITHOUT REGARD TO CONFLICTS OF LAWS RULES OR THE UNITED NATIONS CONVENTION ON THE INTERNATIONAL SALE OF GOODS. EACH PARTY CONSENTS AND SUBMITS TO THE EXCLUSIVE JURISDICTION OF COURTS LOCATED WITHIN THE STATE OF DELAWARE. EACH PARTY DOES HEREBY WAIVE HIS/HER/ITS RIGHT TO A TRIAL BY JURY, TO PARTICIPATE AS THE MEMBER OF A CLASS IN ANY PURPORTED CLASS ACTION OR OTHER PROCEEDING OR TO NAME UNNAMED MEMBERS IN ANY PURPORTED CLASS ACTION OR OTHER PROCEEDINGS. You acknowledge that any violation of the requirements under Section 4 (Ownership & Intellectual Property) or Section 7 (Confidential Information) may cause irreparable damage to Anaconda and that Anaconda will be entitled to seek injunctive and other equitable or legal relief to prevent or compensate for such unauthorized use. +15.12 California Residents. If you are a California resident, in accordance with Cal. Civ. Code subsection 1789.3, you may report complaints to the Complaint Assistance Unit of the Division of Consumer Services of the California Department of Consumer Affairs by contacting them in writing at 1625 North Market Blvd., Suite N 112, Sacramento, CA 95834, or by telephone at (800) 952-5210. +15.13 Notices. Any notice delivered by Anaconda to You under these TOS will be delivered via email, regular mail or postings on www.anaconda.com. Notices to Anaconda should be sent to Anaconda, Inc., Attn: Legal at 1108 Lavaca Street, Suite 110-645 Austin, TX 78701 and legal@anaconda.com. +15.14 Publicity. Anaconda reserves the right to reference You as a customer and display your logo and name on our website and other promotional materials for marketing purposes. Any display of your logo and name shall be in compliance with Your branding guidelines, if provided by notice pursuant to Section 14.12 by You. Except as provided in this Section 14.13 or by separate mutual written agreement, neither party will use the logo, name or trademarks of the other party or refer to the other party in any form of publicity or press release without such party's prior written approval. +15.15 Force Majeure. Except for payment obligations, neither Party will be responsible for failure to perform its obligations due to an event or circumstances beyond its reasonable control. +15.16 No Waiver; Severability. Failure by either party to enforce any right under these TOS will not waive that right. If any portion of these TOS are not enforceable, it will not affect any other terms. +15.17 Electronic Signatures. IF YOUR ACCEPTANCE OF THESE TERMS FURTHER EVIDENCED BY YOUR AFFIRMATIVE ASSENT TO THE SAME (E.G., BY A "CHECK THE BOX" ACKNOWLEDGMENT PROCEDURE), THEN THAT AFFIRMATIVE ASSENT IS THE EQUIVALENT OF YOUR ELECTRONIC SIGNATURE TO THESE TERMS. HOWEVER, FOR THE AVOIDANCE OF DOUBT, YOUR ELECTRONIC SIGNATURE IS NOT REQUIRED TO EVIDENCE OR FACILITATE YOUR ACCEPTANCE AND AGREEMENT TO THESE TERMS, AS YOU AGREE THAT THE CONDUCT DESCRIBED IN THESE TOS AS RELATING TO YOUR ACCEPTANCE AND AGREEMENT TO THESE TERMS ALONE SUFFICES. +16. DEFINITIONS +"Affiliate" means any corporation or legal entity that directly or indirectly controls, or is controlled by, or is under common control with the relevant party, where "control" means to: (a) own more than 50% of the relevant party; or (b) be able to direct the affairs of the relevant party through any lawful means (e.g., a contract that allows control). +"Anaconda" "we" "our" or "us" means Anaconda, Inc. or its applicable Affiliate(s). +"Anaconda Content" means any: Anaconda Content includes geographic and domain information, rules, signatures, threat intelligence and data feeds and Anaconda's compilation of suspicious URLs. +"Anaconda Partner" or "Partner" means an Anaconda authorized reseller, distributor or systems integrator authorized by Anaconda to sell Anaconda Offerings. +"Anaconda Offering" or "Offering" means the Anaconda Services, Anaconda software, Documentation, software development kits ("SDKs"), application programming interfaces ("APIs"), and any other items or services provided by Anaconda any Upgrades thereto under the terms of these TOS, the relevant Offering Descriptions, as identified in the relevant Order, and/or any updates thereto. +"Anaconda Proprietary Technology" means any software, code, tools, libraries, scripts, APIs, SDKs, templates, algorithms, data science recipes (including any source code for data science recipes and any modifications to such source code), data science workflows, user interfaces, links, proprietary methods and systems, know-how, trade secrets, techniques, designs, inventions, and other tangible or intangible technical material, information and works of authorship underlying or otherwise used to make available the Anaconda Offerings including, without limitation, all Intellectual Property Rights therein and thereto. +"Anaconda Service" means Support Services and any other consultation or professional services provided by or on behalf of Anaconda under the terms of the Agreement, as identified in the applicable Order and/or SOW. +"Approved Source" means Anaconda or an Anaconda Partner. +"Anonymized Data" means any Personal Data (including Customer Personal Data) and data regarding usage trends and behavior with respect to Offerings, that has been anonymized such that the Data Subject to whom it relates cannot be identified, directly or indirectly, by Anaconda or any other party reasonably likely to receive or access that anonymized Personal Data or usage trends and behavior. +"Authorized Users" means Your Users, Your Affiliates who have been identified to Anaconda and approved, Your third-party service providers, and each of their respective Users who are permitted to access and use the Anaconda Offering(s) on Your behalf as part of Your Order. +"Beta Offerings" Beta Offerings means any portion of the Offerings offered on a "beta" basis, as designated by Anaconda, including but not limited to, products, plans, services, and platforms. +"Content" means Packages, components, applications, services, data, content, or resources, which are available for download access or use through the Offerings, and owned by third-party providers, defined herein as Third Party Content, or Anaconda, defined herein as Anaconda Content. +"Documentation" means the technical specifications and usage materials officially published by Anaconda specifying the functionalities and capabilities of the applicable Anaconda Offerings. +"Educational Entities" means educational organizations, classroom learning environments, or academic instructional organizations. +"Fees" mean the costs and fees for the Anaconda Offerings(s) set forth within the Order and/or SOW, or any fees due immediately when purchasing via the web-portal. +"Government Entities" means any body, board, department, commission, court, tribunal, authority, agency or other instrumentality of any such government or otherwise exercising any executive, legislative, judicial, administrative or regulatory functions of any Federal, State, or local government (including multijurisdictional agencies, instrumentalities, and entities of such government) +"Internal Use" means Customer's use of an Offering for Customer's own internal operations, to perform Python/R data science and machine learning on a single platform from Customer's systems, networks, and devices. Such use does not include use on a service bureau basis or otherwise to provide services to, or process data for, any third party, or otherwise use to monitor or service the systems, networks, and devices of third parties. +"Intellectual Property Rights" means any and all now known or hereafter existing worldwide: (a) rights associated with works of authorship, including copyrights, mask work rights, and moral rights; (b) trademark or service mark rights; (c) Confidential Information, including trade secret rights; (d) patents, patent rights, and industrial property rights; (e) layout design rights, design rights, and other proprietary rights of every kind and nature other than trade dress, and similar rights; and (f) all registrations, applications, renewals, extensions, or reissues of the foregoing. +"Malicious Code" means code designed or intended to disable or impede the normal operation of, or provide unauthorized access to, networks, systems, Software or Cloud Services other than as intended by the Anaconda Offerings (for example, as part of some of Anaconda's Security Offering(s). +"Mirror" or "Mirroring" means the unauthorized or authorized act of duplicating, copying, or replicating an Anaconda Offering, (e.g. repository, including its contents, files, and data),, from Anaconda's servers to another location. If Mirroring is not performed under a site license, or by written authorization by Anaconda, the Mirroring constitutes a violation of Anaconda's Terms of Service and licensing agreements. +"Offering Description"' means a legally structured and detailed description outlining the features, specifications, terms, and conditions associated with a particular product, service, or offering made available to customers or users. The Offering Description serves as a legally binding document that defines the scope of the offering, including pricing, licensing terms, usage restrictions, and any additional terms and conditions. +"Order" or "Order Form" means a legally binding document, website page, or electronic mail that outlines the specific details of Your purchase of Anaconda Offerings or Anaconda Services, including but not limited to product specifications, pricing, quantities, and payment terms either issued by Anaconda or from an Approved Source. +"Personal Data" Refers to information falling within the definition of 'personal data' and/or 'personal information' as outlined by Relevant Data Protection Regulations, such as a personal identifier (e.g., name, last name, and email), financial information (e.g., bank account numbers) and online identifiers (e.g., IP addresses, geolocation. +"Relevant Data Protection Regulations" mean, as applicable, (a) Personal Information Protection and Electronic Documents Act (S.C. 2000, c. 5) along with any supplementary or replacement bills enacted into law by the Government of Canada (collectively "PIPEDA"); (b) the General Data Protection Regulation (Regulation (EU) 2016/679) and applicable laws by EU member states which either supplement or are necessary to implement the GDPR (collectively "GDPR"); (c) the California Consumer Privacy Act of 2018 (Cal. Civ. Code subsection 1798.198(a)), along with its various amendments (collectively "CCPA"); (d) the GDPR as applicable under section 3 of the European Union (Withdrawal) Act 2018 and as amended by the Data Protection, Privacy and Electronic Communications (Amendments etc.) (EU Exit) Regulations 2019 (as amended) (collectively "UK GDPR"); (e) the Swiss Federal Act on Data Protection of June 19, 1992 and as it may be revised from time to time (the "FADP"); and (f) any other applicable law related to the protection of Personal Data. +"Site License'' means a License that confers Customer the right to use Anaconda Offerings throughout an organization, encompassing authorized Users without requiring individual licensing arrangements. Site Licenses have limits based on company size as set forth in a relevant Order, and do not cover future assignment of Users through mergers and acquisitions unless otherwise specified in writing by Anaconda. +"Software" means the Anaconda Offerings, including Upgrades, firmware, and applicable Documentation. +"Subscription" means the payment of recurring Fees for accessing and using Anaconda's Software and/or an Anaconda Service over a specified period. Your subscription grants you the right to utilize our products, receive updates, and access support, all in accordance with our terms and conditions for such Offering. +"Subscription Fees" means the costs and Fees associated with a Subscription. +"Support Services" means the support and maintenance services provided by Anaconda to You in accordance with the relevant support and maintenance policy ("Support Policy") located at legal.anaconda.com/support-policy. +"Third Party Services" means external products, applications, or services provided by entities other than Anaconda. These services may be integrated with or used in conjunction with Anaconda's offerings but are not directly provided or controlled by Anaconda. +"Upgrades" means all updates, upgrades, bug fixes, error corrections, enhancements and other modifications to the Software. +"Usage Term" means the period commencing on the date of delivery and continuing until expiration or termination of the Order, during which period You have the right to use the applicable Anaconda Offering. +"User" means the individual, system (e.g. virtual machine, automated system, server-side container, etc.) or organization that (a) has visited, downloaded or used the Offerings(s), (b) is using the Offering or any part of the Offerings(s), or (c) directs the use of the Offerings(s) in the performance of its functions. +"Version" means the Offering configuration identified by a numeric representation, whether left or right of the decimal place. +OFFERING DESCRIPTION: ANACONDA DISTRIBUTION INSTALLER + + +This Offering Description describes Anaconda Distribution Installer (hereinafter the "Distribution"). Your use of the Distribution is governed by this Offering Description, and the Anaconda Terms of Service (the "TOS", available at https://legal.anaconda.com/policies/en/?name=terms-of-service), collectively the "Agreement" between you ("You") and Anaconda, Inc. ("We" or "Anaconda"). In the event of a conflict, the order of precedence is as follows: 1) this Offering Description; 2) if applicable, a Custom Agreement; and 3) the TOS if no Custom Agreement is in place. Capitalized terms used in this Offering Description and/or the Order not otherwise defined herein, including in Section 6 (Definitions), have the meaning given to them in the TOS or Custom Agreement, as applicable. Anaconda may, at any time, terminate this Agreement and the license granted hereunder if you fail to comply with any term of this Agreement. Anaconda reserves all rights not expressly granted to you in this Agreement. + + +1. Anaconda Distribution License Grant. Subject to the terms of this Agreement, Anaconda hereby grants you a non-exclusive, non-transferable license to: (1) Install and use the Distribution on Your premises; (2) modify and create derivative works of sample source code delivered in the Distribution from the Anaconda Public Repository; and (3) redistribute code files in source (if provided to you by Anaconda as source) and binary forms, with or without modification subject to the requirements set forth below. Anaconda may, at any time, terminate this Agreement and the license granted hereunder if you fail to comply with any term of this Agreement. +2. Redistribution. Redistribution and use in source and binary forms of the source code delivered in the Distribution from the Anaconda Public Repository, with or without modification, are permitted provided that the following conditions are met: (1) Redistributions of source code must retain the copyright notice set forth in 2.2, this list of conditions and the following disclaimer; (2) Redistributions in binary form must reproduce the following copyright notice set forth in 2.2, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution; (3) Neither the name of Anaconda nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. +3. Updates. Anaconda may, at its option, make available patches, workarounds or other updates to the Distribution. +4. Support. This Agreement does not entitle you to any support for the Distribution. +5. Intel(R) Math Kernel Library. Distribution provides access to re-distributable, run-time, shared-library files from the Intel(R) Math Kernel Library ("MKL binaries"). Copyright (C) 2018 Intel Corporation. License available here (the "MKL License"). You may use and redistribute the MKL binaries, without modification, provided the following conditions are met: (1) Redistributions must reproduce the above copyright notice and the following terms of use in the MKL binaries and in the documentation and/or other materials provided with the distribution; (2) Neither the name of Intel nor the names of its suppliers may be used to endorse or promote products derived from the MKL binaries without specific prior written permission; (3) No reverse engineering, decompilation, or disassembly of the MKL binaries is permitted.You are specifically authorized to use and redistribute the MKL binaries with your installation of Anaconda(R) Distribution subject to the terms set forth in the MKL License. You are also authorized to redistribute the MKL binaries with Anaconda(R) Distribution or in the Anaconda(R) package that contains the MKL binaries. +6. cuDNN Binaries. Distribution also provides access to cuDNN(TM) software binaries ("cuDNN binaries") from NVIDIA(R) Corporation. You are specifically authorized to use the cuDNN binaries with your installation of Distribution subject to your compliance with the license agreement located at https://docs.nvidia.com/deeple.... You are also authorized to redistribute the cuDNN binaries with an Anaconda(R) Distribution package that contains the cuDNN binaries. You can add or remove the cuDNN binaries utilizing the install and uninstall features in Anaconda(R) Distribution. cuDNN binaries contain source code provided by NVIDIA Corporation. +7. Arm Performance Libraries. Anaconda provides access to software and related documentation from the Arm Performance Libraries ("Arm PL") provided by Arm Limited. By installing or otherwise accessing the Arm PL, you acknowledge and agree that use and distribution of the Arm PL is subject to your compliance with the Arm PL end user license agreement located here. +8. Export; Cryptography Notice. You must comply with all domestic and international export laws and regulations that apply to the software, which include restrictions on destinations, end users, and end use. Anaconda(R) Distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software, to see if this is permitted. See the Wassenaar Arrangement http://www.wassenaar.org/ for more information. No license is required for export of this software to non-embargoed countries. The Intel(R) Math Kernel Library contained in Anaconda(R) Distribution is classified by Intel(R) as ECCN 5D992.c with no license required for export to non-embargoed countries. +9. Cryptography Notice. The following packages are included in the Distribution that relate to cryptography: + 1. OpenSSL. The OpenSSL Project is a collaborative effort to develop a robust, commercial-grade, full-featured and Open Source toolkit implementing the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols as well as a full strength general purpose cryptography library. + 2. PyCrypto. A collection of both secure hash functions (such as SHA256 and RIPEMD160), and various encryption algorithms (AES, DES, RSA, ElGamal, etc.). + 3. Pycryptodome. A fork of PyCrypto. It is a self-contained Python package of low-level cryptographic primitives. + 4. Pycryptodomex. A stand-alone version of Pycryptodome. + 5. PyOpenSSL. A thin Python wrapper around (a subset of) the OpenSSL library. + 6. Kerberos (krb5, non-Windows platforms). A network authentication protocol designed to provide strong authentication for client/server applications by using secret-key cryptography. + 7. Libsodium. A software library for encryption, decryption, signatures, password hashing and more. + 8. Pynacl. A Python binding to the Networking and Cryptography library, a crypto library with the stated goal of improving usability, security and speed. + 9. Cryptography A Python library. This exposes cryptographic recipes and primitives. +10. Definitions. + 1. "Anaconda Distribution", shortened form "Distribution", is an open-source distribution of Python and R programming languages for scientific computing and data science. It aims to simplify package management and deployment. Anaconda Distribution includes: (1) conda, a package and environment manager for your command line interface; (2) Anaconda Navigator; (3) 250 automatically installed packages; (3) access to the Anaconda Public Repository. + 2. "Anaconda Navigator" means a graphical interface for launching common Python programs without having to use command lines, to install packages and manage environments. It also allows the user to launch applications and easily manage conda packages, environments, and channels without using command-line commands. + 3. "Anaconda Public Repository", means the Anaconda packages repository of 8000 open-source data science and machine learning packages at repo.anaconda.com. + + +Version 4.0 | Last Modified: March 31, 2024 | ANACONDA TOS + +EOF + printf "\\n" + printf "Do you accept the license terms? [yes|no]\\n" + printf ">>> " + read -r ans + ans=$(echo "${ans}" | tr '[:lower:]' '[:upper:]') + while [ "$ans" != "YES" ] && [ "$ans" != "NO" ] + do + printf "Please answer 'yes' or 'no':'\\n" + printf ">>> " + read -r ans + ans=$(echo "${ans}" | tr '[:lower:]' '[:upper:]') + done + if [ "$ans" != "YES" ] + then + printf "The license agreement wasn't approved, aborting installation.\\n" + exit 2 + fi + printf "\\n" + printf "%s will now be installed into this location:\\n" "${INSTALLER_NAME}" + printf "%s\\n" "$PREFIX" + printf "\\n" + printf " - Press ENTER to confirm the location\\n" + printf " - Press CTRL-C to abort the installation\\n" + printf " - Or specify a different location below\\n" + printf "\\n" + printf "[%s] >>> " "$PREFIX" + read -r user_prefix + if [ "$user_prefix" != "" ]; then + case "$user_prefix" in + *\ * ) + printf "ERROR: Cannot install into directories with spaces\\n" >&2 + exit 1 + ;; + *) + eval PREFIX="$user_prefix" + ;; + esac + fi +fi # !BATCH + +case "$PREFIX" in + *\ * ) + printf "ERROR: Cannot install into directories with spaces\\n" >&2 + exit 1 + ;; +esac +if [ "$FORCE" = "0" ] && [ -e "$PREFIX" ]; then + printf "ERROR: File or directory already exists: '%s'\\n" "$PREFIX" >&2 + printf "If you want to update an existing installation, use the -u option.\\n" >&2 + exit 1 +elif [ "$FORCE" = "1" ] && [ -e "$PREFIX" ]; then + REINSTALL=1 +fi + +if ! mkdir -p "$PREFIX"; then + printf "ERROR: Could not create directory: '%s'\\n" "$PREFIX" >&2 + exit 1 +fi + +total_installation_size_kb="3062857" +free_disk_space_bytes="$(df -Pk "$PREFIX" | tail -n 1 | awk '{print $4}')" +free_disk_space_kb="$((free_disk_space_bytes / 1024))" +free_disk_space_kb_with_buffer="$((free_disk_space_bytes - 100 * 1024))" # add 100MB of buffer +if [ "$free_disk_space_kb_with_buffer" -lt "$total_installation_size_kb" ]; then + printf "ERROR: Not enough free disk space: %s < %s\\n" "$free_disk_space_kb_with_buffer" "$total_installation_size_kb" >&2 + exit 1 +fi + +# pwd does not convert two leading slashes to one +# https://github.com/conda/constructor/issues/284 +PREFIX=$(cd "$PREFIX"; pwd | sed 's@//@/@') +export PREFIX + +printf "PREFIX=%s\\n" "$PREFIX" + +# 3-part dd from https://unix.stackexchange.com/a/121798/34459 +# Using a larger block size greatly improves performance, but our payloads +# will not be aligned with block boundaries. The solution is to extract the +# bulk of the payload with a larger block size, and use a block size of 1 +# only to extract the partial blocks at the beginning and the end. +extract_range () { + # Usage: extract_range first_byte last_byte_plus_1 + blk_siz=16384 + dd1_beg=$1 + dd3_end=$2 + dd1_end=$(( ( dd1_beg / blk_siz + 1 ) * blk_siz )) + dd1_cnt=$(( dd1_end - dd1_beg )) + dd2_end=$(( dd3_end / blk_siz )) + dd2_beg=$(( ( dd1_end - 1 ) / blk_siz + 1 )) + dd2_cnt=$(( dd2_end - dd2_beg )) + dd3_beg=$(( dd2_end * blk_siz )) + dd3_cnt=$(( dd3_end - dd3_beg )) + dd if="$THIS_PATH" bs=1 skip="${dd1_beg}" count="${dd1_cnt}" 2>/dev/null + dd if="$THIS_PATH" bs="${blk_siz}" skip="${dd2_beg}" count="${dd2_cnt}" 2>/dev/null + dd if="$THIS_PATH" bs=1 skip="${dd3_beg}" count="${dd3_cnt}" 2>/dev/null +} + +# the line marking the end of the shell header and the beginning of the payload +last_line=$(grep -anm 1 '^@@END_HEADER@@' "$THIS_PATH" | sed 's/:.*//') +# the start of the first payload, in bytes, indexed from zero +boundary0=$(head -n "${last_line}" "${THIS_PATH}" | wc -c | sed 's/ //g') +# the start of the second payload / the end of the first payload, plus one +boundary1=$(( boundary0 + 35420000 )) +# the end of the second payload, plus one +boundary2=$(( boundary1 + 411002880 )) + +# verify the MD5 sum of the tarball appended to this header +MD5=$(extract_range "${boundary0}" "${boundary2}" | md5sum -) +if ! echo "$MD5" | grep 20229c6607b017fdf682deb3962220c0 >/dev/null; then + printf "WARNING: md5sum mismatch of tar archive\\n" >&2 + printf "expected: 20229c6607b017fdf682deb3962220c0\\n" >&2 + printf " got: %s\\n" "$MD5" >&2 +fi + +cd "$PREFIX" + +# disable sysconfigdata overrides, since we want whatever was frozen to be used +unset PYTHON_SYSCONFIGDATA_NAME _CONDA_PYTHON_SYSCONFIGDATA_NAME + +# the first binary payload: the standalone conda executable +CONDA_EXEC="$PREFIX/_conda" +extract_range "${boundary0}" "${boundary1}" > "$CONDA_EXEC" +chmod +x "$CONDA_EXEC" + +export TMP_BACKUP="${TMP:-}" +export TMP="$PREFIX/install_tmp" +mkdir -p "$TMP" + +# Create $PREFIX/.nonadmin if the installation didn't require superuser permissions +if [ "$(id -u)" -ne 0 ]; then + touch "$PREFIX/.nonadmin" +fi + +# the second binary payload: the tarball of packages +printf "Unpacking payload ...\n" +extract_range $boundary1 $boundary2 | \ + CONDA_QUIET="$BATCH" "$CONDA_EXEC" constructor --extract-tarball --prefix "$PREFIX" + +PRECONDA="$PREFIX/preconda.tar.bz2" +CONDA_QUIET="$BATCH" \ +"$CONDA_EXEC" constructor --prefix "$PREFIX" --extract-tarball < "$PRECONDA" || exit 1 +rm -f "$PRECONDA" + +CONDA_QUIET="$BATCH" \ +"$CONDA_EXEC" constructor --prefix "$PREFIX" --extract-conda-pkgs || exit 1 + +#The templating doesn't support nested if statements +MSGS="$PREFIX/.messages.txt" +touch "$MSGS" +export FORCE + +# original issue report: +# https://github.com/ContinuumIO/anaconda-issues/issues/11148 +# First try to fix it (this apparently didn't work; QA reported the issue again) +# https://github.com/conda/conda/pull/9073 +# Avoid silent errors when $HOME is not writable +# https://github.com/conda/constructor/pull/669 +test -d ~/.conda || mkdir -p ~/.conda >/dev/null 2>/dev/null || test -d ~/.conda || mkdir ~/.conda + +printf "\nInstalling base environment...\n\n" + +if [ "$SKIP_SHORTCUTS" = "1" ]; then + shortcuts="--no-shortcuts" +else + shortcuts="" +fi +# shellcheck disable=SC2086 +CONDA_ROOT_PREFIX="$PREFIX" \ +CONDA_REGISTER_ENVS="true" \ +CONDA_SAFETY_CHECKS=disabled \ +CONDA_EXTRA_SAFETY_CHECKS=no \ +CONDA_CHANNELS="https://repo.anaconda.com/pkgs/main,https://repo.anaconda.com/pkgs/r" \ +CONDA_PKGS_DIRS="$PREFIX/pkgs" \ +CONDA_QUIET="$BATCH" \ +"$CONDA_EXEC" install --offline --file "$PREFIX/pkgs/env.txt" -yp "$PREFIX" $shortcuts || exit 1 +rm -f "$PREFIX/pkgs/env.txt" + +#The templating doesn't support nested if statements +mkdir -p "$PREFIX/envs" +for env_pkgs in "${PREFIX}"/pkgs/envs/*/; do + env_name=$(basename "${env_pkgs}") + if [ "$env_name" = "*" ]; then + continue + fi + printf "\nInstalling %s environment...\n\n" "${env_name}" + mkdir -p "$PREFIX/envs/$env_name" + + if [ -f "${env_pkgs}channels.txt" ]; then + env_channels=$(cat "${env_pkgs}channels.txt") + rm -f "${env_pkgs}channels.txt" + else + env_channels="https://repo.anaconda.com/pkgs/main,https://repo.anaconda.com/pkgs/r" + fi + if [ "$SKIP_SHORTCUTS" = "1" ]; then + env_shortcuts="--no-shortcuts" + else + # This file is guaranteed to exist, even if empty + env_shortcuts=$(cat "${env_pkgs}shortcuts.txt") + rm -f "${env_pkgs}shortcuts.txt" + fi + # shellcheck disable=SC2086 + CONDA_ROOT_PREFIX="$PREFIX" \ + CONDA_REGISTER_ENVS="true" \ + CONDA_SAFETY_CHECKS=disabled \ + CONDA_EXTRA_SAFETY_CHECKS=no \ + CONDA_CHANNELS="$env_channels" \ + CONDA_PKGS_DIRS="$PREFIX/pkgs" \ + CONDA_QUIET="$BATCH" \ + "$CONDA_EXEC" install --offline --file "${env_pkgs}env.txt" -yp "$PREFIX/envs/$env_name" $env_shortcuts || exit 1 + rm -f "${env_pkgs}env.txt" +done + + +POSTCONDA="$PREFIX/postconda.tar.bz2" +CONDA_QUIET="$BATCH" \ +"$CONDA_EXEC" constructor --prefix "$PREFIX" --extract-tarball < "$POSTCONDA" || exit 1 +rm -f "$POSTCONDA" +rm -rf "$PREFIX/install_tmp" +export TMP="$TMP_BACKUP" + + +#The templating doesn't support nested if statements +if [ -f "$MSGS" ]; then + cat "$MSGS" +fi +rm -f "$MSGS" +if [ "$KEEP_PKGS" = "0" ]; then + rm -rf "$PREFIX"/pkgs +else + # Attempt to delete the empty temporary directories in the package cache + # These are artifacts of the constructor --extract-conda-pkgs + find "$PREFIX/pkgs" -type d -empty -exec rmdir {} \; 2>/dev/null || : +fi + +cat <<'EOF' +installation finished. +EOF + +if [ "${PYTHONPATH:-}" != "" ]; then + printf "WARNING:\\n" + printf " You currently have a PYTHONPATH environment variable set. This may cause\\n" + printf " unexpected behavior when running the Python interpreter in %s.\\n" "${INSTALLER_NAME}" + printf " For best results, please verify that your PYTHONPATH only points to\\n" + printf " directories of packages that are compatible with the Python interpreter\\n" + printf " in %s: %s\\n" "${INSTALLER_NAME}" "$PREFIX" +fi + +if [ "$BATCH" = "0" ]; then + DEFAULT=no + # Interactive mode. + + printf "Do you wish to update your shell profile to automatically initialize conda?\\n" + printf "This will activate conda on startup and change the command prompt when activated.\\n" + printf "If you'd prefer that conda's base environment not be activated on startup,\\n" + printf " run the following command when conda is activated:\\n" + printf "\\n" + printf "conda config --set auto_activate_base false\\n" + printf "\\n" + printf "You can undo this by running \`conda init --reverse \$SHELL\`? [yes|no]\\n" + printf "[%s] >>> " "$DEFAULT" + read -r ans + if [ "$ans" = "" ]; then + ans=$DEFAULT + fi + ans=$(echo "${ans}" | tr '[:lower:]' '[:upper:]') + if [ "$ans" != "YES" ] && [ "$ans" != "Y" ] + then + printf "\\n" + printf "You have chosen to not have conda modify your shell scripts at all.\\n" + printf "To activate conda's base environment in your current shell session:\\n" + printf "\\n" + printf "eval \"\$(%s/bin/conda shell.YOUR_SHELL_NAME hook)\" \\n" "$PREFIX" + printf "\\n" + printf "To install conda's shell functions for easier access, first activate, then:\\n" + printf "\\n" + printf "conda init\\n" + printf "\\n" + else + case $SHELL in + # We call the module directly to avoid issues with spaces in shebang + *zsh) "$PREFIX/bin/python" -m conda init zsh ;; + *) "$PREFIX/bin/python" -m conda init ;; + esac + if [ -f "$PREFIX/bin/mamba" ]; then + case $SHELL in + # We call the module directly to avoid issues with spaces in shebang + *zsh) "$PREFIX/bin/python" -m mamba.mamba init zsh ;; + *) "$PREFIX/bin/python" -m mamba.mamba init ;; + esac + fi + fi + printf "Thank you for installing %s!\\n" "${INSTALLER_NAME}" +fi # !BATCH + + +if [ "$TEST" = "1" ]; then + printf "INFO: Running package tests in a subshell\\n" + NFAILS=0 + (# shellcheck disable=SC1091 + . "$PREFIX"/bin/activate + which conda-build > /dev/null 2>&1 || conda install -y conda-build + if [ ! -d "$PREFIX/conda-bld/${INSTALLER_PLAT}" ]; then + mkdir -p "$PREFIX/conda-bld/${INSTALLER_PLAT}" + fi + cp -f "$PREFIX"/pkgs/*.tar.bz2 "$PREFIX/conda-bld/${INSTALLER_PLAT}/" + cp -f "$PREFIX"/pkgs/*.conda "$PREFIX/conda-bld/${INSTALLER_PLAT}/" + if [ "$CLEAR_AFTER_TEST" = "1" ]; then + rm -rf "$PREFIX/pkgs" + fi + conda index "$PREFIX/conda-bld/${INSTALLER_PLAT}/" + conda-build --override-channels --channel local --test --keep-going "$PREFIX/conda-bld/${INSTALLER_PLAT}/"*.tar.bz2 + ) || NFAILS=$? + if [ "$NFAILS" != "0" ]; then + if [ "$NFAILS" = "1" ]; then + printf "ERROR: 1 test failed\\n" >&2 + printf "To re-run the tests for the above failed package, please enter:\\n" + printf ". %s/bin/activate\\n" "$PREFIX" + printf "conda-build --override-channels --channel local --test \\n" + else + printf "ERROR: %s test failed\\n" $NFAILS >&2 + printf "To re-run the tests for the above failed packages, please enter:\\n" + printf ". %s/bin/activate\\n" "$PREFIX" + printf "conda-build --override-channels --channel local --test \\n" + fi + exit $NFAILS + fi +fi +exit 0 +# shellcheck disable=SC2317 +@@END_HEADER@@ +ELFT@p`@8 @@@@888uuwd|8x```HHH dtPWWWTTdtQdtRwPP/lib/ld64.so.1GNU Wc2"zan*OCm\NI vF'&>0S!y=RK(/WD q<;`ht6lM~$4TfxP1di%YpZ)u}X ALJ .gG-3,[bsj78r9BE#e|w5:_@UVQk +H{+? o^]? +B(p*1"B@R@ ` @`@IUy3%Ĉ u8H(  f"nkPð†"`IB0 )W&QZ|! )ц +  !"#$&()*+,-./023457:;<=>?@ABDEGHIKLNOQSTUVWXYZ[\]_`abcdefgijklmoqrstvwyz|}~v|uGK1!F$Е1 F !F;s| i|G9kl 71VuG=ۉV-ǜz^oÇر >Ev76aWX,MįhݑjQ [[Enƭ 9<.7"e=m+da]:#S_ؙdG){F!@ aʪ5#O >N,0  Q, +LlNH8Kl LMl`o@LL[R(NEOQ ] Ph +0 {`tKN 2Pl aH(`RQ ]PQlxQ=TL_ITM_deregisterTMCloneTable__gmon_start___ITM_registerTMCloneTabledlsymdlclosedlopendlerror__errno_locationraiseforkwaitpid__xpg_basenamemkdtempfflushfchmodreaddirsetlocalefopenwcsncpystrncmp__strdupperror__isoc99_sscanfclosedirstrncpymbstowcs__stack_chk_fail__lxstatunlinkmkdirreallocstdingetpidkillstrtokfeofprctldirnamermdirmemcmpclearerrunsetenv__fprintf_chkstdoutmemcpyfclose__vsnprintf_chkmallocstrcatrealpathftellonl_langinfoopendirgetenvstderr__snprintf_chkreadlinkexecvpstrncat__realpath_chkfilenofwritefread__memcpy_chk__fread_chkstrchr__vfprintf_chk__strcpy_chk__xstat__strcat_chksetbufstrerror__libc_start_mainferrorfseekosnprintflibdl.so.2libpthread.so.0libc.so.6GLIBC_2.2GLIBC_2.7GLIBC_2.3GLIBC_2.4GLIBC_2.3.4$ORIGIN/../../../../..XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXPI_Tcl_ThreadAlertPI_Tcl_SetVar2PI_PySys_GetObjectPI_Py_GetPathPI_PyErr_OccurredPI_Tcl_CreateInterpPI_PyUnicode_DecodePI_Py_InitializePI_PyUnicode_ReplacePI_Tcl_DoOneEventPI_PySys_AddWarnOptionPI_Tcl_ConditionWaitPI_Tcl_MutexLockPI_Py_SetPythonHomePI_PyUnicode_DecodeFSDefaultPI_PyObject_GetAttrStringPI_Tcl_EvalFile_tcl_exit_CommandPI_PyErr_RestorePI_Py_IgnoreEnvironmentFlagPI_PyDict_GetItemStringPI_PyErr_NormalizeExceptionPI_PyUnicode_AsUTF8_tclInit_CommandPI_Tcl_CreateThreadPI_PySys_SetObjectPI_Tcl_GetCurrentThreadPI_Tcl_ConditionFinalizePI_Tcl_DeleteInterpPI_Tcl_MutexUnlockPI_PyImport_ImportModulePI_Tcl_FindExecutablePI_Py_OptimizeFlagsaved_localePI_PyUnicode_FromStringPI_PyObject_StrPI_Tcl_ConditionNotifyPI_PyErr_Clear_tcl_source_CommandPI_Tcl_FinalizePI_PyMarshal_ReadObjectFromStringzcfreePI_Py_DecRefPI_Tcl_GetObjResultPI_PyErr_Printchild_signalPI_Tcl_FinalizeThreadPI_PyMem_RawFreePI_PyUnicode_JoinPI_PyObject_CallFunctionPI_PyUnicode_FromFormatPI_Tcl_EvalObjvPI_Tcl_GetVar2PI_Tcl_ThreadQueueEventPI_PyEval_EvalCodePI_PySys_SetArgvExPI_Py_NoSiteFlagPI_Py_IncRefPI_PyList_NewPI_PyImport_ExecCodeModulePI_Py_FrozenFlagPI_PyObject_SetAttrStringPI_Py_VerboseFlagPI_Py_DecodeLocalePI_Tcl_CreateObjCommandPI_PyLong_AsLongPI_Tcl_AllocPI_Py_SetProgramNamechild_pid_tcl_findLibrary_CommandPI_Tcl_NewByteArrayObjzcallocPI_PyRun_SimpleStringFlagsPI_PyErr_FetchPI_Py_BuildValuePI_Tk_InitPI_Py_DontWriteBytecodeFlagPI_PyList_AppendPI_Py_NoUserSiteDirectorypyversPI_Py_UTF8ModePI_PySys_SetPathPI_Py_SetPathMAGIC_BASEPI_Tcl_SetVar2Exz_errmsgPI_Tcl_GetString_splash_event_procchild_signalledPI_Py_FileSystemDefaultEncodingPI_Py_FinalizePI_PyModule_GetDictPI_Tcl_EvalEx_pyi_splash_progress_updatePI_PyImport_AddModulePI_Tk_GetNumMainWindowsPI_Tcl_FreePI_PyObject_CallFunctionObjArgsPI_Tcl_NewStringObjPI_Tcl_InitPI_Py_UnbufferedStdioFlag ii ii ii ii ii ii itt + +; +K +D + + + +o +] +| +r + + +(, +0? +8 +@ +HQ +PH +X +` +h +pX +x +* + +w +v +z + + + + +O +` + +\ + + +p +j +5 + + + +( +0 +8J +@E +H +P +X +`Z +h +p +x> +8 +m + + + + +: + +k +A + +c + + + +a ++ +L + +u + N +( +0 +8 +@) +H= +Pl +X( +`P +h9 +p +x +F + + +i + +n +~ +2 + +f +1 +< + +q + + +h p x @  U I    S  / ^ } V  3 s G     y (g 0 8R @ H PW X0 `h h p x  e  Y b  B $  + 7   T  {   % "   6 (d 04 8 @. 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$v|pH$㠀8$&o A0X ! $X80H'H@Dԧo9)#6 6 AA !7 AX〠$ h!e A0X$hhH P:h ()| @# H 8  tX *"q(L"("(/| @) H$@ 8 @ tX@X@8|~(P@"("(P@"(7| @1 H, 8'  t"X0#" H?C" 4vH?L4`v0X[0\#! \()| @# H 8  tX *" AX !" +)o0$%qOe O$P( $0$`$$H|ع1 H!*@!78X(A.St2:&>@ P0 6A@ @0$>@P0  L !P(tgoP08Y~X0A :St6A00P :~+~-|X(~A$D2H!0HQ%@!0H(| 8 ~ HQ0@0U/Y@5:+FX 0&PP1 0P̧P $y|X|X̧(TM w$r$L$$XL 8xhX@XYp)H@B"AKK@wL@wAYHCV"PpI"E@p!$ Y@ &~߹##t~9YjH#*@#!tX v0&Y"00" 0X ) wX0Թ0AX0C +`v1lv~r X"Yp%$w9Y3#,~p; 8YU3B 6<%Z P (F| & +|X ̧8P#@ w0$YV#"0:3 +P@@0  1 "~%Z P &|X ̧8T#w +|X̧(P w#WL$#n$L$$!#ǧ`~Y@@D&Y $X P A > )8?@ !0@#"#|@$`q;,;&  +|*9H ᧷@ ;/`$`: t@p$`@o0$`$<@o1.2.13Failed to extract %s: inflateInit() failed with return code %d! +Failed to extract %s: failed to allocate temporary input buffer! +mallocFailed to extract %s: failed to allocate temporary output buffer! +Failed to extract %s: decompression resulted in return code %d! +Cannot read Table of Contents. +rbFailed to extract %s: failed to open archive file! +Failed to extract %s: failed to seek to the entry's data! +fseekFailed to extract %s: failed to allocate data buffer (%u bytes)! +Failed to extract %s: failed to read data chunk! +freadFailed to extract %s: failed to open target file! +fopenFailed to extract %s: failed to allocate temporary buffer! +Failed to extract %s: failed to write data chunk! +fwriteFailed to seek to cookie position! +Failed to read cookie! +Could not allocate buffer for TOC! +Could not read full TOC! +Error on file. +Cannot allocate memory for ARCHIVE_STATUS +calloc[%d] Failed to copy %s +..%s%c%s.pkg%s%c%s.exeArchive not found: %s +Archive path exceeds PATH_MAX +Failed to open archive %s! +Failed to extract %s +__main__Could not get __main__ module. +Could not get __main__ module's dict. +%s%c%s.pyAbsolute path to script exceeds PATH_MAX +__file__Failed to unmarshal code object for %s +_pyi_main_coFailed to execute script '%s' due to unhandled exception! +_MEIPASS2_PYI_ONEDIR_MODECannot open PyInstaller archive from executable (%s) or external archive (%s) +_PYI_PROCNAMECannot side-load external archive %s (code %d)! +LOADER: failed to set linux process name! +1PATH:/proc/self/exeld-%64[^.].so.%d/Py_DontWriteBytecodeFlagCannot dlsym for Py_DontWriteBytecodeFlag +Py_FileSystemDefaultEncodingCannot dlsym for Py_FileSystemDefaultEncoding +Py_FrozenFlagCannot dlsym for Py_FrozenFlag +Py_IgnoreEnvironmentFlagCannot dlsym for Py_IgnoreEnvironmentFlag +Py_NoSiteFlagCannot dlsym for Py_NoSiteFlag +Py_NoUserSiteDirectoryCannot dlsym for Py_NoUserSiteDirectory +Py_OptimizeFlagCannot dlsym for Py_OptimizeFlag +Py_VerboseFlagCannot dlsym for Py_VerboseFlag +Py_UnbufferedStdioFlagCannot dlsym for Py_UnbufferedStdioFlag +Py_UTF8ModeCannot dlsym for Py_UTF8Mode +Py_BuildValueCannot dlsym for Py_BuildValue +Py_DecRefCannot dlsym for Py_DecRef +Py_FinalizeCannot dlsym for Py_Finalize +Py_IncRefCannot dlsym for Py_IncRef +Py_InitializeCannot dlsym for Py_Initialize +Py_SetPathCannot dlsym for Py_SetPath +Py_GetPathCannot dlsym for Py_GetPath +Py_SetProgramNameCannot dlsym for Py_SetProgramName +Py_SetPythonHomeCannot dlsym for Py_SetPythonHome +PyDict_GetItemStringCannot dlsym for PyDict_GetItemString +PyErr_ClearCannot dlsym for PyErr_Clear +PyErr_OccurredCannot dlsym for PyErr_Occurred +PyErr_PrintCannot dlsym for PyErr_Print +PyErr_FetchCannot dlsym for PyErr_Fetch +PyErr_RestoreCannot dlsym for PyErr_Restore +PyErr_NormalizeExceptionCannot dlsym for PyErr_NormalizeException +PyImport_AddModuleCannot dlsym for PyImport_AddModule +PyImport_ExecCodeModuleCannot dlsym for PyImport_ExecCodeModule +PyImport_ImportModuleCannot dlsym for PyImport_ImportModule +PyList_AppendCannot dlsym for PyList_Append +PyList_NewCannot dlsym for PyList_New +PyLong_AsLongCannot dlsym for PyLong_AsLong +PyModule_GetDictCannot dlsym for PyModule_GetDict +PyObject_CallFunctionCannot dlsym for PyObject_CallFunction +PyObject_CallFunctionObjArgsCannot dlsym for PyObject_CallFunctionObjArgs +PyObject_SetAttrStringCannot dlsym for PyObject_SetAttrString +PyObject_GetAttrStringCannot dlsym for PyObject_GetAttrString +PyObject_StrCannot dlsym for PyObject_Str +PyRun_SimpleStringFlagsCannot dlsym for PyRun_SimpleStringFlags +PySys_AddWarnOptionCannot dlsym for PySys_AddWarnOption +PySys_SetArgvExCannot dlsym for PySys_SetArgvEx +PySys_GetObjectCannot dlsym for PySys_GetObject +PySys_SetObjectCannot dlsym for PySys_SetObject +PySys_SetPathCannot dlsym for PySys_SetPath +PyEval_EvalCodeCannot dlsym for PyEval_EvalCode +PyMarshal_ReadObjectFromStringCannot dlsym for PyMarshal_ReadObjectFromString +PyUnicode_FromStringCannot dlsym for PyUnicode_FromString +Py_DecodeLocaleCannot dlsym for Py_DecodeLocale +PyMem_RawFreeCannot dlsym for PyMem_RawFree +PyUnicode_FromFormatCannot dlsym for PyUnicode_FromFormat +PyUnicode_DecodeCannot dlsym for PyUnicode_Decode +PyUnicode_DecodeFSDefaultCannot dlsym for PyUnicode_DecodeFSDefault +PyUnicode_AsUTF8Cannot dlsym for PyUnicode_AsUTF8 +PyUnicode_JoinCannot dlsym for PyUnicode_Join +PyUnicode_ReplaceCannot dlsym for PyUnicode_Replace +pyi-Failed to convert Wflag %s using mbstowcs (invalid multibyte string) +Reported length (%d) of DLL name (%s) length exceeds buffer[%d] space +Path of DLL (%s) length exceeds buffer[%d] space +Error loading Python lib '%s': dlopen: %s +out of memory +Fatal error: unable to decode the command line argument #%i +PYTHONUTF8Invalid value for PYTHONUTF8=%s; disabling utf-8 mode! +POSIXFailed to convert progname to wchar_t +Failed to convert pyhome to wchar_t +%s%c%s%c%s%c%s%c%slib-dynloadbase_library.zipsys.path (based on %s) exceeds buffer[%d] space +Failed to convert pypath to wchar_t +Failed to convert argv to wchar_t +Error detected starting Python VM. +Failed to get _MEIPASS as PyObject. +_MEIPASSModule object for %s is NULL! +%U?%llupathInstalling PYZ: Could not get sys.path +Failed to append to sys.path +import sys; sys.stdout.flush(); (sys.__stdout__.flush if sys.__stdout__ is not sys.stdout else (lambda: None))()import sys; sys.stderr.flush(); (sys.__stderr__.flush if sys.__stderr__ is not sys.stderr else (lambda: None))()status_texttk_librarytk.tclCannot allocate memory for necessary files. +SPLASH: Cannot extract requirement %s. +SPLASH: Cannot find requirement %s in archive. +SPLASH: Failed to load Tcl/Tk libraries! +Cannot allocate memory for SPLASH_STATUS. +SPLASH: Tcl is not threaded. Only threaded tcl is supported. +tclInittcl_findLibraryexitrename ::source ::_sourcesource_image_dataTcl_InitCannot dlsym for Tcl_Init +Tcl_CreateInterpCannot dlsym for Tcl_CreateInterp +Tcl_FindExecutableCannot dlsym for Tcl_FindExecutable +Tcl_DoOneEventCannot dlsym for Tcl_DoOneEvent +Tcl_FinalizeCannot dlsym for Tcl_Finalize +Tcl_FinalizeThreadCannot dlsym for Tcl_FinalizeThread +Tcl_DeleteInterpCannot dlsym for Tcl_DeleteInterp +Tcl_CreateThreadCannot dlsym for Tcl_CreateThread +Tcl_GetCurrentThreadCannot dlsym for Tcl_GetCurrentThread +Tcl_MutexLockCannot dlsym for Tcl_MutexLock +Tcl_MutexUnlockCannot dlsym for Tcl_MutexUnlock +Tcl_ConditionFinalizeCannot dlsym for Tcl_ConditionFinalize +Tcl_ConditionNotifyCannot dlsym for Tcl_ConditionNotify +Tcl_ConditionWaitCannot dlsym for Tcl_ConditionWait +Tcl_ThreadQueueEventCannot dlsym for Tcl_ThreadQueueEvent +Tcl_ThreadAlertCannot dlsym for Tcl_ThreadAlert +Tcl_GetVar2Cannot dlsym for Tcl_GetVar2 +Tcl_SetVar2Cannot dlsym for Tcl_SetVar2 +Tcl_CreateObjCommandCannot dlsym for Tcl_CreateObjCommand +Tcl_GetStringCannot dlsym for Tcl_GetString +Tcl_NewStringObjCannot dlsym for Tcl_NewStringObj +Tcl_NewByteArrayObjCannot dlsym for Tcl_NewByteArrayObj +Tcl_SetVar2ExCannot dlsym for Tcl_SetVar2Ex +Tcl_GetObjResultCannot dlsym for Tcl_GetObjResult +Tcl_EvalFileCannot dlsym for Tcl_EvalFile +Tcl_EvalExCannot dlsym for Tcl_EvalEx +Tcl_EvalObjvCannot dlsym for Tcl_EvalObjv +Tcl_AllocCannot dlsym for Tcl_Alloc +Tcl_FreeCannot dlsym for Tcl_Free +Tk_InitCannot dlsym for Tk_Init +Tk_GetNumMainWindowsCannot dlsym for Tk_GetNumMainWindows +LD_LIBRARY_PATHLD_LIBRARY_PATH_ORIG_MEIXXXXXXTMPDIRpyi-runtime-tmpdirINTERNAL ERROR: cannot create temporary directory! +/PYINSTALLER_STRICT_UNPACK_MODEERROR: file already exists but should not: %s +WARNING: file already exists but should not: %s +wbLISTEN_PID%ldLOADER: failed to allocate argv_pyi: %s +LOADER: failed to strdup argv[%d]: %s +pyi-bootloader-ignore-signals/var/tmp/usr/tmpTEMPTMPMEI + w0a, Qmpjc5dۈ2yܸو L+~|-dj qHA}mԵQӅlVdkbze\Ocl=c ;n Li^`Agqr<KG +k5Blۻ֬@2lE\u ϫ=Y&0Q:Qa!V#Ϻ(_ ٲ $/o|XhLaf-=vAq *q3xɢ4 j m=-dlc\kkQlabe0bNl{WeP|b-I|LeMaX:QΣtԻ0JߥA=ؕפmCij4ngF`D-s3 +L_ |Pq<'A  Wh% of a^)ɘИ"רY=. \;l  tҚG9w&sc d; mj>zjZ +'}DhibW]egl6qnkv+zZgJoC`֣ѓ~8ORѻgWg?H6K +گ +L6JAz``ègU1nFiyaf%oҠRh6 w G"U&/ź; (+Z\j1,ٞ[ޮd°c&ujm + 6?rgWJz{+ 8Ҏվ | !Bhݳڃn&[owGwZjpf; \ebiaklE +x NT9§g&a`IiGM>nwۮjJZ@ f7;𩼮S޻G0齽ʺŠS0$6TW)#gfz.aJ]h*o+ 7 Z-0w,aQ mjp5c飕d2yҗ+L |~-d jHqA}mQDžӃVlkdzbeO\lcc=  n;^iLA`rqgjm Zjz  ' +}Dңhi]Wbgeq6lknv+ӉZzJgo߹ﾎCՎ`~ѡ8ROggW?K6H+ L +J6`zA`Ugn1yiFafo%6hRw G "/&U;( Z+j\1е,[d&c윣ju +m ?6grWJz+{8 Ғ |! ӆBhn[&wowGZpj;f\ eibkaElx + TN³9a&g`MGiIwn>JjѮZf @;7SŞϲG0򽽊º0S$6к)WTg#.zfJah]+o*7 Z-@  氒j%b}Dg׻jD~pd'MG T-06/{Z1i*lևM_zN7.N^NrB0* ,<C˦ǐ<Ԅ[S's4K| O݄aY,2Qh$A3}Q>R mDYduu.e67Av$F}%gۢ,Io:auV2.=~i9}5]v 򅗉N1d}'O&)Z;BN.xr}j*V)"am +v6%6ˌ*=/[nl'd'"N|v\5O:۱/h2~3=|Rݭ֙{*Ry GZusY +.O KHk̍FW:8c@a_k/Q2i@'`N3Y?r}K&!C7Z ʭRo`~,BW;РGvwgJ$$/ne6Rut6>f}ZºSE_el`>3PӉ”Bd@WXǂ*|Eq@RMr tVɝH!a7"=w$l5iW*K x-8{#E0_es%Ͽ6iɥWN! 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A Y ;y9 i)  I U+u5  e% E ] S}= m-  M S#s3  c# C [ C{; k+  K W@3w7 g' G  _ c? o/ O `Psp0  +` @ X ;x8 h( H T+t4  d$ D \ S|< l,  L R#r2  b" B Z Cz: j*  +J V@3v6 f& F  ^ c~> n. N `Qq1  +a! A Y ;y9 i)  I U+u5  e% E ] S}= m-  M S#s3  c# C [ C{; k+  K W@3w7 g' G  _ c? o/ O A@!  @a`10  @  +   incorrect header checkunknown compression methodinvalid window sizeunknown header flags setheader crc mismatchinvalid block typeinvalid stored block lengthstoo many length or distance symbolsinvalid code lengths setinvalid code -- missing end-of-blockinvalid literal/lengths setinvalid distances setincorrect data checkincorrect length checkinvalid bit length repeatA + #+3;CScs@@ !1Aa  0@` inflate 1.2.13 Copyright 1995-2022 Mark Adler need dictionarystream endfile errorstream errordata errorinsufficient memorybuffer errorincompatible version;PlD4L4Ddt@l D +D +, +@ tx $  t(dXt t ` t    +< +pd + +  8!4 d! ! 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This work is distributed under the \LaTeX \ Project Public License (LPPL) ( http://www.latex-project.org/ ) version 1.3. A copy of the LPPL, version 1.3, is included in the base \LaTeX \ documentation of all distributions of \LaTeX \ released 2003/12/01 or later. The opinions expressed here are entirely that of the author. No warranty is expressed or implied. User assumes all risk.}} + +\markboth{Journal of \LaTeX\ Class Files,~Vol.~18, No.~9, September~2020}% +{How to Use the IEEEtran \LaTeX \ Templates} + +\maketitle + +\begin{abstract} +This document describes the most common article elements and how to use the IEEEtran class with \LaTeX \ to produce files that are suitable for submission to the Institute of Electrical and Electronics Engineers (IEEE). IEEEtran can produce conference, journal and technical note (correspondence) papers with a suitable choice of class options. +\end{abstract} + +\begin{IEEEkeywords} +Class, IEEEtran, \LaTeX, paper, style, template, typesetting. +\end{IEEEkeywords} + + +\section{Introduction} +\IEEEPARstart{W}{elcome} to the updated and simplified documentation to using the IEEEtran \LaTeX \ class file. The IEEE has examined hundreds of author submissions using this package to help formulate this easy to follow guide. We will cover the most commonly used elements of a journal article. For less common elements we will refer back to the ``IEEEtran\_HOWTO.pdf''. + +This document applies to version 1.8b of IEEEtran. + +The IEEEtran template package contains the following example files: +\begin{list}{}{} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{list} +These are ``bare bones" templates to quickly understand the document structure. + +It is assumed that the reader has a basic working knowledge of \LaTeX. Those who are new to \LaTeX \ are encouraged to read Tobias Oetiker's ``The Not So Short Introduction to \LaTeX '', available at: \url{http://tug.ctan.org/info/lshort/english/lshort.pdf} which provides an overview of working with \LaTeX. + +\section{The Design, Intent and \\ Limitations of the Templates} +\noindent The templates are intended to {\bf{approximate the final look and page length of the articles/papers}}. Therefore, {\bf{they are NOT intended to be the final produced work that is displayed in print or on IEEEXplore\textsuperscript{\textregistered}}}. They will help to give the authors an approximation of the number of pages that will be in the final version. The structure of the \LaTeX files, as designed, enable easy conversion to XML for the composition systems used by the IEEE's outsource vendors. The XML files are used to produce the final print/IEEEXplore\textsuperscript{\textregistered} pdf and then converted to HTML for IEEEXplore\textsuperscript{\textregistered}. Have you looked at your article/paper in the HTML version? + +\section{\LaTeX \ Distributions: Where to Get Them} +\noindent IEEE recommends using the distribution from the \TeX User Group at \url{http://www.tug.org}. You can join TUG and obtain a DVD distribution or download for free from the links provided on their website: \url{http://www.tug.org/texlive/}. The DVD includes distributions for Windows, Mac OS X and Linux operating systems. + +\section{Where to get the IEEEtran Templates} +\noindent The {\bf{IEEE Template Selector}} will always have the most up-to-date versions of the \LaTeX\ and MSWord templates. Please see: \url{https://template-selector.ieee.org/} and follow the steps to find the correct template for your intended publication. Many publications use the IEEETran LaTeX templates, however, some publications have their own special templates. Many of these are based on IEEEtran, but may have special instructions that vary slightly from those in this document. + +\section{Where to get \LaTeX \ help - user groups} +\noindent The following on-line groups are very helpful to beginning and experienced \LaTeX\ users. A search through their archives can provide many answers to common questions. +\begin{list}{}{} +\item{\url{http://www.latex-community.org/}} +\item{\url{https://tex.stackexchange.com/} } +\end{list} + +\section{Document Class Options in IEEEtran} +\noindent At the beginning of your \LaTeX\ file you will need to establish what type of publication style you intend to use. The following list shows appropriate documentclass options for each of the types covered by IEEEtran. + +\begin{list}{}{} +\item{Regular Journal Article} +\item{{\tt{$\backslash$documentclass[journal]{IEEEtran}}}}\\ +\item{{Conference Paper}} +\item{{\tt{$\backslash$documentclass[conference]{IEEEtran}}}}\\ +\item{Computer Society Journal Article} +\item{{\tt{$\backslash$documentclass[10pt,journal,compsoc]{IEEEtran}}}}\\ +\item{Computer Society Conference Paper} +\item{{\tt{$\backslash$documentclass[conference,compsoc]{IEEEtran}}}}\\ +\item{{Communications Society Journal Article}} +\item{{\tt{$\backslash$documentclass[journal,comsoc]{IEEEtran}}}}\\ +\item{{Brief, Correspondence or Technote}} +\item{{\tt{$\backslash$documentclass[9pt,technote]{IEEEtran}}}} +\end{list} + +There are other options available for each of these when submitting for peer review or other special requirements. IEEE recommends to compose your article in the base 2-column format to make sure all your equations, tables and graphics will fit the final 2-column format. Please refer to the document ``IEEEtran\_HOWTO.pdf'' for more information on settings for peer review submission if required by your EIC. + +\section{How to Create Common Front Matter} +\noindent The following sections describe general coding for these common elements. Computer Society publications and Conferences may have their own special variations and will be noted below. +\subsection{Paper Title} +\noindent The title of your paper is coded as: + +\begin{verbatim} +\title{The Title of Your Paper} +\end{verbatim} + +\noindent Please try to avoid the use of math or chemical formulas in your title if possible. + +\subsection{Author Names and Affiliations} +\noindent The author section should be coded as follows: +\begin{verbatim} +\author{Masahito Hayashi +\IEEEmembership{Fellow, IEEE}, Masaki Owari +\thanks{M. Hayashi is with Graduate School +of Mathematics, Nagoya University, Nagoya, +Japan} +\thanks{M. Owari is with the Faculty of +Informatics, Shizuoka University, +Hamamatsu, Shizuoka, Japan.} +} +\end{verbatim} +Be sure to use the $\backslash$IEEEmembership command to identify IEEE membership status. +Please see the ``IEEEtran\_HOWTO.pdf'' for specific information on coding authors for Conferences and Computer Society publications. Note that the closing curly brace for the author group comes at the end of the thanks group. This will prevent you from creating a blank first page. + +\subsection{Running Heads} +\noindent The running heads are declared by using the $\backslash${\tt{markboth}} command. There are two arguments to this command: the first contains the journal name information and the second contains the author names and paper title. +\begin{verbatim} +\markboth{Journal of Quantum Electronics, +Vol. 1, No. 1, January 2021} +{Author1, Author2, +\MakeLowercase{\textit{(et al.)}: +Paper Title} +\end{verbatim} + +\subsection{Copyright Line} +\noindent For Transactions and Journals papers, this is not necessary to use at the submission stage of your paper. The IEEE production process will add the appropriate copyright line. If you are writing a conference paper, please see the ``IEEEtran\_HOWTO.pdf'' for specific information on how to code "Publication ID Marks". + +\subsection{Abstracts} +\noindent The abstract is the first element of a paper after the $\backslash${\tt{maketitle}} macro is invoked. The coding is simply: +\begin{verbatim} +\begin{abstract} +Text of your abstract. +\end{abstract} +\end{verbatim} +Please try to avoid mathematical and chemical formulas in the abstract. + +\subsection{Index Terms} +\noindent The index terms are used to help other researchers discover your paper. Each society may have it's own keyword set. Contact the EIC of your intended publication for this list. +\begin{verbatim} +\begin{IEEEkeywords} +Broad band networks, quality of service +\end{IEEEkeywords} +\end{verbatim} +\section{How to Create Common Body Elements} +\noindent The following sections describe common body text elements and how to code them. + +\subsection{Initial Drop Cap Letter} +\noindent The first text paragraph uses a ``drop cap'' followed by the first word in ALL CAPS. This is accomplished by using the $\backslash${\tt{IEEEPARstart}} command as follows: +\begin{verbatim} +\IEEEPARstart{T}{his} is the first paragraph +of your paper. . . +\end{verbatim} + +\subsection{Sections and Subsections} +\noindent Section headings use standard \LaTeX\ commands: $\backslash${\tt{section}}, $\backslash${\tt{subsection}} and $\backslash${\tt{subsubsection}}. Numbering is handled automatically for you and varies according to type of publication. It is common to not indent the first paragraph following a section head by using $\backslash${\tt{noindent}} as follows: +\begin{verbatim} +\section{Section Head} +\noindent The text of your paragraph . . . +\end{verbatim} + +\subsection{Citations to the Bibliography} +\noindent The coding for the citations are made with the \LaTeX\ $\backslash${\tt{cite}} command. This will produce individual bracketed reference numbers in the IEEE style. At the top of your \LaTeX\ file you should include: +\begin{verbatim} +\usepackage{cite} +\end{verbatim} +For a single citation code as follows: +\begin{verbatim} +see \cite{ams} +\end{verbatim} +This will display as: see \cite{ams}\\ + +For multiple citations code as follows: +\begin{verbatim} +\cite{ams,oxford,lacomp} +\end{verbatim} + +This will display as \cite{ams,oxford,lacomp} + +\subsection{Figures} +\noindent Figures are coded with the standard \LaTeX\ commands as follows: +\begin{verbatim} +\begin{figure}[!t] +\centering +\includegraphics[width=2.5in]{fig1} +\caption{This is the caption for one fig.} +\label{fig1} +\end{figure} +\end{verbatim} +The [!t] argument enables floats to the top of the page to follow IEEE style. Make sure you include: +\begin{verbatim} +\usepackage{graphicx} +\end{verbatim} + +\noindent at the top of your \LaTeX file with the other package declarations. + +To cross-reference your figures in the text use the following code example: +\begin{verbatim} +See figure \ref{fig1} ... +\end{verbatim} +This will produce:\\ +See figure \ref{fig1} . . . + +\begin{figure}[!t] +\centering +\includegraphics[width=2.5in]{fig1} +\caption{This is the caption for one fig.} +\label{fig1} +\end{figure} + +\subsection{Tables} +\noindent Tables should be coded with the standard \LaTeX\ coding. The following example shows a simple table. + + +\begin{verbatim} +\begin{table} +\begin{center} +\caption{Filter design equations ...} +\label{tab1} +\begin{tabular}{| c | c | c |} +\hline +Order & Arbitrary coefficients & +coefficients\\ +of filter & $e_m$ & $b_{ij}$ \\ +\hline +1& $b_{ij}=\hat{e}.\hat{\beta_{ij}}$, +& $b_{00}=0$\\ +\hline +2&$\beta_{22}=(~1,-1,-1,~~1,~~1,~~1)$ &\\ +\hline +3& $b_{ij}=\hat{e}.\hat{\beta_{ij}}$, +& $b_{00}=0$,\\ +\hline +\end{tabular} +\end{center} +\end{table} +\end{verbatim} +To reference the table in the text, code as follows: +\begin{verbatim}Table~\ref{tab1} lists the closed-form...\end{verbatim} +to produce: + +Table~\ref{tab1} lists the closed-form . . . + + +%moved here for pagination purposes +\begin{table} +\begin{center} +\caption{A Simple Table Example.} +\label{tab1} +\begin{tabular}{| c | c | c |} +\hline +Order & Arbitrary coefficients & coefficients\\ +of filter & $e_m$ & $b_{ij}$ \\ +\hline +1& $b_{ij}=\hat{e}.\hat{\beta_{ij}}$, & $b_{00}=0$\\ +\hline +2&$\beta_{22}=(~1,-1,-1,~~1,~~1,~~1)$ &\\ +\hline +3& $b_{ij}=\hat{e}.\hat{\beta_{ij}}$, & $b_{00}=0$,\\ +\hline +\end{tabular} +\end{center} +\end{table} + + +\subsection{Lists} +\noindent In this section, we will consider three types of lists: simple unnumbered, numbered and bulleted. There have been numerous options added to IEEEtran to enhance the creation of lists. If your lists are more complex than those shown below, please refer to the ``IEEEtran\_HOWTO.pdf'' for additional options.\\ + +\noindent{\bf A plain unnumbered list} + +\begin{list}{}{} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{list} + +\noindent coded as: +\begin{verbatim} +\begin{list}{}{} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{list} +\end{verbatim} +\noindent{\bf A simple numbered list} + +\begin{enumerate} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{enumerate} +\noindent coded as: +\begin{verbatim} +\begin{enumerate} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{enumerate} +\end{verbatim} + +\noindent{\bf A simple bulleted list} + +\begin{itemize} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{itemize} + +\noindent coded as: + +\begin{verbatim} +\begin{itemize} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{itemize} +\end{verbatim} + + +\subsection{Other Elements} +\noindent For other less common elements such as Algorithms, Theorems and Proofs, and Floating Structures such as page-wide tables, figures or equations, please refer to the ``IEEEtran\_HOWTO.pdf'' section on ``Double Column Floats.'' + + +\section{How to Create Common Back Matter Elements} +\noindent The following sections demonstrate common back matter elements such as Acknowledgments, Bibliographies, Appendicies and Author Biographies. + +\subsection{Acknowledgments} +\noindent This should be a simple paragraph before the bibliography to thank those individuals and institutions who have supported your work on this article. + +\begin{verbatim} +\section{Acknowledgments} +\noindent Text describing those who +supported your paper. +\end{verbatim} + +\subsection{Bibliographies} +\noindent {\bf{References Simplified:}} A simple way of composing references is to use the $\backslash${\tt{bibitem}} macro to define the beginning of a reference as in the following examples:\\ + + +\noindent [6] H. Sira-Ramirez. ``On the sliding mode control of nonlinear systems,'' \textit{Systems \& Control Letters}, vol. 19, pp. 303--312, 1992. + +\noindent coded as: +\begin{verbatim} +\bibitem{Sira3} +H. Sira-Ramirez. ``On the sliding mode +control of nonlinear systems,'' +\textit{Systems \& Control Letters}, +vol. 19, pp. 303--312, 1992. +\end{verbatim} + +\noindent [7] A. Levant.``Exact differentiation of signals with unbounded higher derivatives,'' in \textit{Proceedings of the 45th IEEE Conference on Decision and Control}, San Diego, California, USA, pp. 5585--5590, 2006. + +\noindent coded as: +\begin{verbatim}\bibitem{Levant} +A. Levant. ``Exact differentiation of +signals with unbounded higher +derivatives,'' in \textit{Proceedings +of the 45th IEEE Conference on +Decision and Control}, San Diego, +California, USA, pp. 5585--5590, 2006. +\end{verbatim} + + +\noindent [8] M. Fliess, C. Join, and H. Sira-Ramirez. ``Non-linear estimation is easy,'' \textit{International Journal of Modelling, Identification and Control}, vol. 4, no. 1, pp. 12--27, 2008. + +\noindent coded as: +\begin{verbatim} +\bibitem{Cedric} +M. Fliess, C. Join, and H. Sira-Ramirez. +``Non-linear estimation is easy,'' +\textit{International Journal of Modelling, +Identification and Control}, vol. 4, +no. 1, pp. 12--27, 2008. +\end{verbatim} + +\noindent [9] R. Ortega, A. Astolfi, G. Bastin, and H. Rodriguez. ``Stabilization of food-chain systems using a port-controlled Hamiltonian description,'' in \textit{Proceedings of the American Control Conference}, Chicago, Illinois, USA, pp. 2245--2249, 2000. + +\noindent coded as: +\begin{verbatim} +\bibitem{Ortega} +R. Ortega, A. Astolfi, G. Bastin, and H. +Rodriguez. ``Stabilization of food-chain +systems using a port-controlled Hamiltonian +description,'' in \textit{Proceedings of the +American Control Conference}, Chicago, +Illinois, USA, pp. 2245--2249, 2000. +\end{verbatim} + +\subsection{Accented Characters in References} +\noindent When using accented characters in references, please use the standard LaTeX coding for accents. {\bf{Do not use math coding for character accents}}. For example: +\begin{verbatim} +\'e, \"o, \`a, \~e +\end{verbatim} +will produce: \'e, \"o, \`a, \~e + + +\subsection{Use of BibTeX} +\noindent If you wish to use BibTeX, please see the documentation that accompanies the IEEEtran Bibliography package. + +\subsection{Biographies and Author Photos} +\noindent Authors may have options to include their photo or not. Photos should be a bit-map graphic (.tif or .jpg) and sized to fit in the space allowed. Please see the coding samples below: +\begin{verbatim} +\begin{IEEEbiographynophoto}{Jane Doe} +Biography text here without a photo. +\end{IEEEbiographynophoto} +\end{verbatim} +or a biography with a photo + +\begin{verbatim} +\begin{IEEEbiography}[{\includegraphics +[width=1in,height=1.25in,clip, +keepaspectratio]{fig1.png}}] +{IEEE Publications Technology Team} +In this paragraph you can place +your educational, professional background +and research and other interests. +\end{IEEEbiography} +\end{verbatim} + +Please see the end of this document to see the output of these coding examples. + + + +\section{Mathematical Typography \\ and Why It Matters} + +\noindent Typographical conventions for mathematical formulas have been developed to {\bf provide uniformity and clarity of presentation across mathematical texts}. This enables the readers of those texts to both understand the author's ideas and to grasp new concepts quickly. While software such as \LaTeX \ and MathType\textsuperscript{\textregistered} can produce aesthetically pleasing math when used properly, it is also very easy to misuse the software, potentially resulting in incorrect math display. + +IEEE aims to provide authors with the proper guidance on mathematical typesetting style and assist them in writing the best possible article. + +As such, IEEE has assembled a set of examples of good and bad mathematical typesetting. You will see how various issues are dealt with. The following publications have been referenced in preparing this material: + +\begin{list}{}{} +\item{\emph{Mathematics into Type}, published by the American Mathematical Society} +\item{\emph{The Printing of Mathematics}, published by Oxford University Press} +\item{\emph{The \LaTeX Companion}, by F. Mittelbach and M. Goossens} +\item{\emph{More Math into LaTeX}, by G. Gr\"atzer} +\item{AMS-StyleGuide-online.pdf, published by the American Mathematical Society} +\end{list} + +Further examples can be seen at \url{http://journals.ieeeauthorcenter.ieee.org/wp-content/uploads/sites/7/IEEE-Math-Typesetting-Guide.pdf} + +\subsection{Display Equations} +\noindent A simple display equation example shown below uses the ``equation'' environment. To number the equations, use the $\backslash${\tt{label}} macro to create an identifier for the equation. LaTeX will automatically number the equation for you. +\begin{equation} +\label{deqn_ex1} +x = \sum_{i=0}^{n} 2{i} Q. +\end{equation} + +\noindent is coded as follows: +\begin{verbatim} +\begin{equation} +\label{deqn_ex1} +x = \sum_{i=0}^{n} 2{i} Q. +\end{equation} +\end{verbatim} + +To reference this equation in the text use the $\backslash${\tt{ref}} macro. +Please see (\ref{deqn_ex1})\\ +\noindent is coded as follows: +\begin{verbatim} +Please see (\ref{deqn_ex1})\end{verbatim} + +\subsection{Equation Numbering} +\noindent {\bf{Consecutive Numbering:}} Equations within an article are numbered consecutively from the beginning of the +article to the end, i.e., (1), (2), (3), (4), (5), etc. Do not use roman numerals or section numbers for equation numbering.\\ + +\noindent {\bf{Appendix Equations:}} The continuation of consecutively numbered equations is best in the Appendix, but numbering + as (A1), (A2), etc., is permissible.\\ + +\noindent {\bf{Hyphens and Periods}}: Hyphens and periods should not be used in equation numbers, i.e., use (1a) rather than +(1-a) and (2a) rather than (2.a) for sub-equations. This should be consistent throughout the article. + +\subsection{Multi-line equations and alignment} +\noindent Here we show several examples of multi-line equations and proper alignments. + +\noindent {\bf{A single equation that must break over multiple lines due to length with no specific alignment.}} +\begin{multline} +\text{The first line of this example}\\ +\text{The second line of this example}\\ +\text{The third line of this example} +\end{multline} + +\noindent is coded as: +\begin{verbatim} +\begin{multline} +\text{The first line of this example}\\ +\text{The second line of this example}\\ +\text{The third line of this example} +\end{multline} +\end{verbatim} + +\noindent {\bf{A single equation with multiple lines aligned at the = signs}} +\begin{align} +a &= c+d \\ +b &= e+f +\end{align} +\noindent is coded as: +\begin{verbatim} +\begin{align} +a &= c+d \\ +b &= e+f +\end{align} +\end{verbatim} + +The {\tt{align}} environment can align on multiple points as shown in the following example: +\begin{align} +x &= y & X & =Y & a &=bc\\ +x' &= y' & X' &=Y' &a' &=bz +\end{align} +\noindent is coded as: +\begin{verbatim} +\begin{align} +x &= y & X & =Y & a &=bc\\ +x' &= y' & X' &=Y' &a' &=bz +\end{align} +\end{verbatim} + + + + + +\subsection{Subnumbering} +\noindent The amsmath package provides a {\tt{subequations}} environment to facilitate subnumbering. An example: + +\begin{subequations}\label{eq:2} +\begin{align} +f&=g \label{eq:2A}\\ +f' &=g' \label{eq:2B}\\ +\mathcal{L}f &= \mathcal{L}g \label{eq:2c} +\end{align} +\end{subequations} + +\noindent is coded as: +\begin{verbatim} +\begin{subequations}\label{eq:2} +\begin{align} +f&=g \label{eq:2A}\\ +f' &=g' \label{eq:2B}\\ +\mathcal{L}f &= \mathcal{L}g \label{eq:2c} +\end{align} +\end{subequations} + +\end{verbatim} + +\subsection{Matrices} +\noindent There are several useful matrix environments that can save you some keystrokes. See the example coding below and the output. + +\noindent {\bf{A simple matrix:}} +\begin{equation} +\begin{matrix} 0 & 1 \\ +1 & 0 \end{matrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{matrix} 0 & 1 \\ +1 & 0 \end{matrix} +\end{equation} +\end{verbatim} + +\noindent {\bf{A matrix with parenthesis}} +\begin{equation} +\begin{pmatrix} 0 & -i \\ + i & 0 \end{pmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{pmatrix} 0 & -i \\ + i & 0 \end{pmatrix} +\end{equation} +\end{verbatim} + +\noindent {\bf{A matrix with square brackets}} +\begin{equation} +\begin{bmatrix} 0 & -1 \\ +1 & 0 \end{bmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{bmatrix} 0 & -1 \\ +1 & 0 \end{bmatrix} +\end{equation} +\end{verbatim} + +\noindent {\bf{A matrix with curly braces}} +\begin{equation} +\begin{Bmatrix} 1 & 0 \\ +0 & -1 \end{Bmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{Bmatrix} 1 & 0 \\ +0 & -1 \end{Bmatrix} +\end{equation}\end{verbatim} + +\noindent {\bf{A matrix with single verticals}} +\begin{equation} +\begin{vmatrix} a & b \\ +c & d \end{vmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{vmatrix} a & b \\ +c & d \end{vmatrix} +\end{equation}\end{verbatim} + +\noindent {\bf{A matrix with double verticals}} +\begin{equation} +\begin{Vmatrix} i & 0 \\ +0 & -i \end{Vmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{Vmatrix} i & 0 \\ +0 & -i \end{Vmatrix} +\end{equation}\end{verbatim} + +\subsection{Arrays} +\noindent The {\tt{array}} environment allows you some options for matrix-like equations. You will have to manually key the fences, but you'll have options for alignment of the columns and for setting horizontal and vertical rules. The argument to {\tt{array}} controls alignment and placement of vertical rules. + +A simple array +\begin{equation} +\left( +\begin{array}{cccc} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array}\right) +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\left( +\begin{array}{cccc} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array} \right) +\end{equation} +\end{verbatim} + +A slight variation on this to better align the numbers in the last column +\begin{equation} +\left( +\begin{array}{cccr} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array}\right) +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\left( +\begin{array}{cccr} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array} \right) +\end{equation} +\end{verbatim} + +An array with vertical and horizontal rules +\begin{equation} +\left( \begin{array}{c|c|c|r} +a+b+c & uv & x-y & 27\\ \hline +a+b & u+v & z & 134 +\end{array}\right) +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\left( +\begin{array}{c|c|c|r} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array} \right) +\end{equation} +\end{verbatim} +Note the argument now has the pipe "$\vert$" included to indicate the placement of the vertical rules. + + +\subsection{Cases Structures} +\noindent Many times we find cases coded using the wrong environment, i.e., {\tt{array}}. Using the {\tt{cases}} environment will save keystrokes (from not having to type the $\backslash${\tt{left}}$\backslash${\tt{lbrace}}) and automatically provide the correct column alignment. +\begin{equation*} +{z_m(t)} = \begin{cases} +1,&{\text{if}}\ {\beta }_m(t) \\ +{0,}&{\text{otherwise.}} +\end{cases} +\end{equation*} +\noindent is coded as follows: +\begin{verbatim} +\begin{equation*} +{z_m(t)} = +\begin{cases} +1,&{\text{if}}\ {\beta }_m(t),\\ +{0,}&{\text{otherwise.}} +\end{cases} +\end{equation*} +\end{verbatim} +\noindent Note that the ``\&'' is used to mark the tabular alignment. This is important to get proper column alignment. Do not use $\backslash${\tt{quad}} or other fixed spaces to try and align the columns. Also, note the use of the $\backslash${\tt{text}} macro for text elements such as ``if'' and ``otherwise''. + +\subsection{Function Formatting in Equations} +In many cases there is an easy way to properly format most common functions. Use of the $\backslash$ in front of the function name will in most cases, provide the correct formatting. When this does not work, the following example provides a solution using the $\backslash${\tt{text}} macro. + +\begin{equation*} + d_{R}^{KM} = \underset {d_{l}^{KM}} {\text{arg min}} \{ d_{1}^{KM},\ldots,d_{6}^{KM}\}. +\end{equation*} + +\noindent is coded as follows: +\begin{verbatim} +\begin{equation*} + d_{R}^{KM} = \underset {d_{l}^{KM}} + {\text{arg min}} \{ d_{1}^{KM}, + \ldots,d_{6}^{KM}\}. +\end{equation*} +\end{verbatim} + +\subsection{ Text Acronyms inside equations} +\noindent This example shows where the acronym ``MSE" is coded using $\backslash${\tt{text\{\}}} to match how it appears in the text. + +\begin{equation*} + \text{MSE} = \frac {1}{n}\sum _{i=1}^{n}(Y_{i} - \hat {Y_{i}})^{2} +\end{equation*} + +\begin{verbatim} +\begin{equation*} + \text{MSE} = \frac {1}{n}\sum _{i=1}^{n} +(Y_{i} - \hat {Y_{i}})^{2} +\end{equation*} +\end{verbatim} + +\subsection{Obsolete Coding} +\noindent Avoid the use of outdated environments, such as {\tt{eqnarray}} and \$\$ math delimiters, for display equations. The \$\$ display math delimiters are left over from PlainTeX and should not be used in \LaTeX, ever. Poor vertical spacing will result. +\subsection{Use Appropriate Delimiters for Display Equations} +\noindent Some improper mathematical coding advice has been given in various YouTube\textsuperscript{TM} videos on how to write scholarly articles, so please follow these good examples:\\ + +For {\bf{single-line unnumbered display equations}}, please use the following delimiters: +\begin{verbatim}\[ . . . \] or \end{verbatim} +\begin{verbatim}\begin{equation*} . . . \end{equation*}\end{verbatim} +Note that the * in the environment name turns off equation numbering.\\ + +For {\bf{multiline unnumbered display equations}} that have alignment requirements, please use the following delimiters: +\begin{verbatim} +\begin{align*} . . . \end{align*} +\end{verbatim} + +For {\bf{single-line numbered display equations}}, please use the following delimiters: +\begin{verbatim} +\begin{equation} . . . \end{equation} +\end{verbatim} + +For {\bf{multiline numbered display equations}}, please use the following delimiters: +\begin{verbatim} +\begin{align} . . . \end{align} +\end{verbatim} + +\section{LaTeX Package Suggestions} +\noindent Immediately after your documenttype declaration at the top of your \LaTeX\ file is the place where you should declare any packages that are being used. The following packages were used in the production of this document. +\begin{verbatim} +\usepackage{amsmath,amsfonts} +\usepackage{algorithmic} +\usepackage{array} +\usepackage[caption=false,font=normalsize, + labelfont=sf,textfont=sf]{subfig} +\u00sepackage{textcomp} +\usepackage{stfloats} +\usepackage{url} +\usepackage{verbatim} +\usepackage{graphicx} +\usepackage{balance} +\end{verbatim} + +\section{Additional Advice} + +Please use ``soft'' (e.g., \verb|\eqref{Eq}|) or \verb|(\ref{Eq})| +cross references instead of ``hard'' references (e.g., \verb|(1)|). +That will make it possible to combine sections, add equations, or +change the order of figures or citations without having to go through +the file line by line. + +Please note that the \verb|{subequations}| environment in {\LaTeX} +will increment the main equation counter even when there are no +equation numbers displayed. If you forget that, you might write an +article in which the equation numbers skip from (17) to (20), causing +the copy editors to wonder if you've discovered a new method of +counting. + +{\BibTeX} does not work by magic. It doesn't get the bibliographic +data from thin air but from .bib files. If you use {\BibTeX} to produce a +bibliography you must send the .bib files. + +{\LaTeX} can't read your mind. If you assign the same label to a +subsubsection and a table, you might find that Table I has been cross +referenced as Table IV-B3. + +{\LaTeX} does not have precognitive abilities. If you put a +\verb|\label| command before the command that updates the counter it's +supposed to be using, the label will pick up the last counter to be +cross referenced instead. In particular, a \verb|\label| command +should not go before the caption of a figure or a table. + +Please do not use \verb|\nonumber| or \verb|\notag| inside the +\verb|{array}| environment. It will not stop equation numbers inside +\verb|{array}| (there won't be any anyway) and it might stop a wanted +equation number in the surrounding equation. + +\balance + +\section{A Final Checklist} +\begin{enumerate}{}{} +\item{Make sure that your equations are numbered sequentially and there are no equation numbers missing or duplicated. Avoid hyphens and periods in your equation numbering. Stay with IEEE style, i.e., (1), (2), (3) or for sub-equations (1a), (1b). For equations in the appendix (A1), (A2), etc.}. +\item{Are your equations properly formatted? Text, functions, alignment points in cases and arrays, etc. } +\item{Make sure all graphics are included.} +\item{Make sure your references are included either in your main LaTeX file or a separate .bib file if calling the external file.} +\end{enumerate} + +\begin{thebibliography}{1} + +\bibitem{ams} +{\it{Mathematics into Type}}, American Mathematical Society. Online available: + +\bibitem{oxford} +T.W. Chaundy, P.R. Barrett and C. Batey, {\it{The Printing of Mathematics}}, Oxford University Press. London, 1954. + +\bibitem{lacomp}{\it{The \LaTeX Companion}}, by F. Mittelbach and M. Goossens + +\bibitem{mmt}{\it{More Math into LaTeX}}, by G. Gr\"atzer + +\bibitem{amstyle}{\it{AMS-StyleGuide-online.pdf,}} published by the American Mathematical Society + +\bibitem{Sira3} +H. Sira-Ramirez. ``On the sliding mode control of nonlinear systems,'' \textit{Systems \& Control Letters}, vol. 19, pp. 303--312, 1992. + +\bibitem{Levant} +A. Levant. ``Exact differentiation of signals with unbounded higher derivatives,'' in \textit{Proceedings of the 45th IEEE Conference on Decision and Control}, San Diego, California, USA, pp. 5585--5590, 2006. + +\bibitem{Cedric} +M. Fliess, C. Join, and H. Sira-Ramirez. ``Non-linear estimation is easy,'' \textit{International Journal of Modelling, Identification and Control}, vol. 4, no. 1, pp. 12--27, 2008. + +\bibitem{Ortega} +R. Ortega, A. Astolfi, G. Bastin, and H. Rodriguez. ``Stabilization of food-chain systems using a port-controlled Hamiltonian description,'' in \textit{Proceedings of the American Control Conference}, Chicago, Illinois, USA, pp. 2245--2249, 2000. + +\end{thebibliography} + +\begin{IEEEbiographynophoto}{Jane Doe} +Biography text here without a photo. +\end{IEEEbiographynophoto} + +\begin{IEEEbiography}[{\includegraphics[width=1in,height=1.25in,clip,keepaspectratio]{fig1.png}}]{IEEE Publications Technology Team} +In this paragraph you can place your educational, professional background and research and other interests.\end{IEEEbiography} + + +\end{document} + + diff --git a/QQ_9.9.12_240715_x64_01.exe b/QQ_9.9.12_240715_x64_01.exe new file mode 100644 index 0000000..86f3f0f Binary files /dev/null and b/QQ_9.9.12_240715_x64_01.exe differ diff --git a/fig1.png b/fig1.png new file mode 100644 index 0000000..7bcc9b9 Binary files /dev/null and b/fig1.png differ diff --git a/main.bbl b/main.bbl new file mode 100644 index 0000000..24dc61e --- /dev/null +++ b/main.bbl @@ -0,0 +1,39 @@ +% Generated by IEEEtran.bst, version: 1.14 (2015/08/26) +\begin{thebibliography}{1} +\providecommand{\url}[1]{#1} +\csname url@samestyle\endcsname +\providecommand{\newblock}{\relax} +\providecommand{\bibinfo}[2]{#2} +\providecommand{\BIBentrySTDinterwordspacing}{\spaceskip=0pt\relax} +\providecommand{\BIBentryALTinterwordstretchfactor}{4} +\providecommand{\BIBentryALTinterwordspacing}{\spaceskip=\fontdimen2\font plus +\BIBentryALTinterwordstretchfactor\fontdimen3\font minus + \fontdimen4\font\relax} +\providecommand{\BIBforeignlanguage}[2]{{% +\expandafter\ifx\csname l@#1\endcsname\relax +\typeout{** WARNING: IEEEtran.bst: No hyphenation pattern has been}% +\typeout{** loaded for the language `#1'. Using the pattern for}% +\typeout{** the default language instead.}% +\else +\language=\csname l@#1\endcsname +\fi +#2}} +\providecommand{\BIBdecl}{\relax} +\BIBdecl + +\bibitem{canny1986computational} +J.~Canny, ``A computational approach to edge detection,'' \emph{IEEE + Transactions on pattern analysis and machine intelligence}, no.~6, pp. + 679--698, 1986. + +\bibitem{houghtransform} +J.~Illingworth and J.~Kittler, ``A survey of the hough transform,'' + \emph{Computer vision, graphics, and image processing}, vol.~44, no.~1, pp. + 87--116, 1988. + +\bibitem{kluge1995deformable} +K.~Kluge and S.~Lakshmanan, ``A deformable-template approach to lane + detection,'' in \emph{Proceedings of the Intelligent Vehicles' 95. + Symposium}.\hskip 1em plus 0.5em minus 0.4em\relax IEEE, 1995, pp. 54--59. + +\end{thebibliography} diff --git a/main.tex b/main.tex new file mode 100644 index 0000000..b13c556 --- /dev/null +++ b/main.tex @@ -0,0 +1,672 @@ +\documentclass[lettersize,journal]{IEEEtran} +\usepackage{amsmath,amsfonts} +\usepackage{algorithmic} +\usepackage{algorithm} +\usepackage{array} +% \usepackage[caption=false,font=normalsize,labelfont=sf,textfont=sf]{subfig} +\usepackage{textcomp} +\usepackage{stfloats} +\usepackage{url} +\usepackage{verbatim} +\usepackage{graphicx} +\usepackage{cite} +\usepackage{subcaption} +\usepackage{multirow} +\usepackage[T1]{fontenc} +\usepackage{adjustbox} +\usepackage{amssymb} +\usepackage{booktabs} +\usepackage[table,xcdraw]{xcolor} +\definecolor{darkgreen}{RGB}{17,159,27} % 或者使用其他 RGB 值定义深绿色 +\aboverulesep=0pt +\belowrulesep=0pt +\hyphenation{op-tical net-works semi-conduc-tor IEEE-Xpolare} +% updated with editorial comments 8/9/2021 + +\begin{document} + +\title{PolarRCNN:\@ End-to-End Lane Detection with Fewer Anchors} + +\author{IEEE Publication Technology,~\IEEEmembership{Staff,~IEEE,} + % <-this % stops a space +\thanks{This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.}% <-this % stops a space +\thanks{Manuscript received April 19, 2021; revised August 16, 2021.}} + +% The paper headers +\markboth{Journal of \LaTeX\ Class Files,~Vol.~14, No.~8, August~2021}% +{Shell \MakeLowercase{\textit{et al.}}: A Sample Article Using IEEEtran.cls for IEEE Journals} + +% \IEEEpubid{0000--0000/00\$00.00~\copyright~2021 IEEE} +% Remember, if you use this you must call \IEEEpubidadjcol in the second +% column for its text to clear the IEEEpubid mark. + +\maketitle + +\begin{abstract} + Lane detection is a critical and challenging task in autonomous driving, particularly in real-world scenarios where traffic lanes are often slender, lengthy, and partially obscured by other vehicles, complicating detection efforts. Existing anchor-based methods typically rely on prior straight line anchors to extract features and refine lane location and shape. Though achieving high performance, manually setting prior anchors is cumbersome, and ensuring sufficient anchor coverage across diverse datasets requires a large number of dense anchors. Furthermore, NMS postprocessing should be applied to supress the redundant predictions. In this study, we introduce PolarRCNN, a two-stage nms-free anchor-based method for lane detection. By introducing local polar head, the proposal of anchors are dynamic. The number of anchors are decreasing greatly without sacrificing performace. What's more, a GNN based nms free head is proposed to enable the model reach an end-to-end format, which is deployment friendly. Our model yields competitive results on five popular lane detection benchmarks (Tusimple, CULane, LLAMAS, Curvelanes and DL-Rail) while maintaining a lightweight size and a simple structure. +\end{abstract} +\begin{IEEEkeywords} +Lane detection. +\end{IEEEkeywords} + +\section{Introduction} +\IEEEPARstart{L}{ane} detection is a significant problem in computer vision and autonomous driving, forming the basis for accurately perceiving the driving environment in intelligent driving systems. While extensive research has been conducted in ideal environments, it remains a challenging task in adverse scenarios such as night driving, glare, crowd, and rainy conditions, where lanes may be occluded or damaged. Moreover, the slender shapes, complex topologies of lanes and the global property to the complexity of detection challenges. An effective lane detection method should take into account both global high-level semantic features and local low-level features to address these varied conditions and ensure robust performance in real-time applications such as autonomous driving. + +Traditional methods predominantly concentrate on handcrafted local feature extraction and lane shape modeling. Techniques such as the Canny edge detector\cite{canny1986computational}, Hough transform\cite{houghtransform}, and deformable templates for lane fitting\cite{kluge1995deformable} have been extensively utilized. Nevertheless, these approaches often encounter limitations in practical settings, particularly when low-level and local features lack clarity or distinctiveness. + +In recent years, fueled by advancements in deep learning and the availability of large datasets, significant strides have been made in lane detection. Deep models, including convolutional neural networks (CNNs) and transformer-based architectures, have propelled progress in this domain. Previous approaches often treated lane detection as a segmentation task, albeit with simplicity came time-intensive computations. Some methods relied on parameter-based models, directly outputting lane curve parameters instead of pixel locations. These models offer end-to-end solutions, but the curve parameter sensitivity to lane shape compromises robustness. + +\begin{figure}[t] + \centering + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{thsis_figure/anchor_demo/anchor_fix_init.jpg} + \caption{} + \end{subfigure} + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{thsis_figure/anchor_demo/anchor_fix_learned.jpg} + \caption{} + \end{subfigure} + %\qquad + %让图片换行， + + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{thsis_figure/anchor_demo/anchor_proposal.jpg} + \caption{} + \end{subfigure} + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{thsis_figure/anchor_demo/gt.jpg} + \caption{} + \end{subfigure} + \caption{Compare with the anchor setting with other methods. (a) The initial anchor settings of CLRNet. (b) The learned anchor settings of CLRNet trained on CULane. (c) The proposed anchors of our method. (d) The ground truth.} + \label{anchor setting} +\end{figure} + +Drawing inspiration from object detection methods such as Yolos and Fast RCNN, several anchor-based approaches have been introduced for lane detection, the representative work including LanesATT and CLRNet. These methods have demonstrated superior performance by leveraging anchor priors and enabling larger receptive fields for feature extraction. However, anchor-based methods encounter similar drawbacks as anchor-based general object detection method as follows: + +\begin{itemize} (1) A large amount of dense anchors should be configured to ensure the recall of detection result since the lane distributions are complex in real scenarios (i.e the direction and the localtion), as the Fig. \ref{anchor setting}(a) shows. +\end{itemize} + +\begin{itemize} (2) Due to the large anchor setting, redundant predictions should be remove by postprocessing such as NMS \cite{} and FastNMS \cite{}, which brings the difficulty to deployment and the threshold of NMS should be manual setting. +\end{itemize} + +In order to solve the first problem, CLRNet uses learned anchors which location are optimized during training to adapt to the lane distributions (see Fig \ref{anchor setting} (b)) in real scenarios and use cascade cross layer anchor refinement to make the anchor more closer to the groundtruth. However, the anchors in CLRNet are still numerous to cover the potential distributions of lanes. To solve this problem, ADNet \cite{} uses start points generate unit to propose flexible anchors for each image rather than uses the same set of anchors for all images. However, the start points of lanes are subjective and lack of clear visual evidence due to the gloal property of lanes, so the performance of ADNet is not ideal. SRLane uses local angle map to propose sketch anchors according the direction of groundtruth. This method only consider the direction and ignore the accurate location of anchors, leading to worse performance without cascade anchor refinement. Moreover, all methods mentioned above fail to avoid the redundant predictions in the second proplem. + +In order to address the issue we mentioned above better than the previous work, we analysis the reasons causing these issues and proposed a new lane detection method called PolarRCNN, which is two-stage nms-free anchor-based model. PolarRCNN uses local and global coordinates to describe the anchors and the number of proposed anchors are much less than previous work, as shown in fig. \ref{anchor setting} (c). Moreover, aheuristic graph neural network block is proposed to make the model nms-free. The model architecture is simple without complex mechanism using in previous work(i.e. attenion, cascade refinement, etc.), making the model deployment easier and speed faster. Besides, simple architecture helps us to inspect the key factors for performance for anchor based lane detection methods. + + + +We conducted ecperiment on five mainstream benchmarks including TuSimple \cite{}, CULane \cite{}, LLAMAS\cite{}, Curvelanes\cite{} and DL-Rail\cite{}. Our proposed method is blessed with competitive performance with the state-of-art methods. + +Our main contribution are summarized as: + +\begin{itemize} +\item We simplified the anchor parameters with local and global polar coordinate systems, and apply them to two-stage lane detection frameworks. Compared with other sparse two-stage methods, the number of porposed anchors are greatly decreasing with a better performace. +\item We proposed a novel heuristic graph neural network (GNN) head to implement a nms-free paradigm. The architecture of GNN is designed according to Fast NMS with interpretability. The whole training and testing process of our model is end-to-end. +\item Our proposed method applies simple model architectures and get competitive performance with other state-of-art methods on five datasets. The high performace with fewer anchors and nms-free paradigm and demonstrate the effectiveness of our method. +\end{itemize} + +\section{Related Works} +The lane detection aims to detect lane instances in a image. In this section, we only introduce deep-leanrning based methods for lane detection. The lane detection methods can be categorized by segmentation based parameter-based methods and anchor-based methods. + +\textbf{Segmentation-based Methods.} Segmentation-based methods focus on pixel-wise prediction. They predefined each pixel into different categories according to different lane instances and background\cite{} and predicted information pixel by pixel. However, these methods overly focus on low-level and local features, neglecting global semantic information and real-time detection. SCNN uses a larger receptive field to overcome this problem. Some methods such as UFLDv1 and v2\cite{}\cite{} and CondLaneNet\cite{} utilize row-wise or column-wise classification instead of pixel classification to improve detection speed. Another issue with these methods is that the lane instance prior is learned by the model itself, leading to a lack of prior knowledge. Lanenet uses post-clustering to distinguish each lane instance. UFLD divides lane instances by angles and locations and can only detect a fixed number of lanes. CondLaneNet utilizes different conditional dynamic kernels to predict different lane instances. Some methods such as FOLOLane\cite{} and GANet\cite{} use bottom-up strategies to detect a few key points and model their global relations to form lane instances. + +\textbf{Parameter-based Methods.} Instead of predicting a series of points locations or pixel classes, parameter-based methods directly generate the curve parameters of lane instances. PolyLanenet\cite{} and LSTR\cite{} consider the lane instance as a polynomial curve and output the polynomial coefficients directly. BézierLaneNet\cite{} treats the lane instance as a Bézier curve and generates the locations of control points of the curve. BSLane uses B-Spline to describe the lane, and the curve parameters focus on the local shapes of lanes. Parameter-based methods are mostly end-to-end without postprocessing, which grants them faster speed. However, since the final visual lane shapes are sensitive to the lane shape, the robustness and generalization of parameter-based methods may be less than ideal. + + +\textbf{Anchor-Based Methods.} Inspired by some methods in general object detection like YOLO \cite{} and DETR \cite{}, anchor-based methods have been proposed for lane detection. Line-CNN is the earliest work, to our knowledge, that utilizes line anchors to detect lanes. The lines are designed as rays emitted from the three edges (left, bottom, and right) of an image. However, the receptive field of the model only focuses on edges and is slower than some methods. LaneATT \cite{} employs anchor-based feature pooling to aggregate features along the whole line anchor, achieving faster speed with better performance. Nevertheless, the grid sampling strategy and label assignment limit its potential. CLRNet \cite{} utilizes cross-layer refinement strategies, SimOTA label assignment \cite{}, and Liou loss to enhance anchor-based performance beyond most methods. The main advantage of anchor-based methods is that many strategies from anchor-based general object detection can be easily applied to lane detection, such as label assignment, bounding box refinement, GIOU loss, etc. However, the disadvantages of existing anchor-based lane detection are also evident. The line anchors need to be handcrafted and the anchor number is large, NMS postprocessing are needed, resulting in high computational consumption. +some work such as ADNet\cite{}, SRLane\cite{} and Sparse Laneformer\cite{} attempt to reduce the anchors and give proposals. + +\textbf{NMS-Free Object Detections}. NMS is an import postprocessing step in most general object detection methods. Detr \cite{} use one to one label assignment to avoid redundant predictions without NMS. Other nms-free method \cite{} successively proposed. These methods analysis this issue in to aspects, the model architecture and label assignment. \cite{}\cite{} hold the view that one to one assignments are the key points for nms-free predictions. Other works also consider the model expression ability to provided the non-redundant predictions. However, few anchor-based lane detecction methods analysis the nms-free paradigm as the general object detection, and rely on the NMS postprocessing. In our work, we find both the labal assignment and the expressive ability of nms-free module (e.g. the architecture and the inputs of module) both play an important role in the nms-free lane detection task for ancnor-based models. + +This paper aims to address the two issue mentioned above (reducing anchors numbers and nms-free) for the anchor-based lanes proposed methods. + + +\section{Method} +The overall architecture of PolarRCNN is illustrated in fig. \ref{overall_architecture}. Our model consists of backbone-FPN, local polar head and global polar head. Only simple network layers such as convolution, MLP and pooling ops are used in each bolck (rather than attention, dynamic kernels, etc.). + +\begin{figure*}[ht] + \centering + \includegraphics[width=0.9\textwidth]{thsis_figure/ovarall_architecture.png} % 替换为你的图片文件名 + \caption{The overall pipeline of PolarRCNN. The architecture is simple and lightweight. The backbone (e.g. ResNet18) and FPN aims to extract feature of the image. And the Local polar head aims to proposed sparse line anchors. After pooling features sample along the line anchors, the global polar head give the final predictions. Trilet subheads are set in the Global polar Head, including an one-to-one classification head (O2O Cls head), an one-to-many classification head (O2M Cls head) and an one-to-many regression head (O2M Reg Head). The one-to-one cls head aim to replace the NMS postprocessing and select only one positive prediction sample for each groundtruth from the redundant predictions from the O2M head.} + \label{overall_architecture} +\end{figure*} + +\subsection{Lane and Line Anchor Representation} + +Lanes are thin and long curves, a suitable lane prior helps the model to extract features and predict location and modeling the shapes of lane curves more accurately. Keeping the same as privious works\cite{}\cite{}, the lane prior (also called lane anchor) in our work are straight lines and we sample a sequense of 2D points on each line anchor, i.e. $ P\doteq \left\{ \left( x_1, y_1 \right) , \left( x_2, y_2 \right) , ....,\left( x_n, y_n \right) \right\} $, where N is the number of sampled points, The y coordinate of points is uniform sampled from the image vertically, i.e. $y_i=\frac{H}{N-1}*i$, where H is the image height. The same y coordinate of points are also sampled from the groundtruth lane and the model regress the x coordinate offset from line anchor to lane instance ground truth. The only differernce between PolarRCNN and previous work is the description of straight line anchors. It will be introduced in follows. + +\textbf{Polar Coordinate system.} Since the lane anchor are set to be straight by default, it could be described by the straight line parameter. Previous work uses a ray to describe a 2D line anchor, and the parameters of a ray contain the start point's coordinates and the orientation/angle, i.e., $\left\{\theta, P_{xy}\right\}$, as shown in Figure \ref{coord} (a). \cite{}\cite{} define the start points locates on the three image boundary. And \cite{} points out that this not reasonable because the real start point of a lane could be in any location within an image. In our analysis, using a ray may cause ambiguity in describing a line because a line may have infinite start points and the start point of the lane is subjective. As illustrated in Figure \ref{coord} (a), the yellow and darkgreen start points with the same orientation $\theta$ describe the same line, and either of them could be chosen in different datasets. This ambiguity arises because a straight line has two degrees of freedom while a ray has three degrees of freedom. To address this issue, as shown in Figure \ref{coord} (b), we use polar coordinate systems to describe a lane anchor with two parameters for radius and angle $\left\{\theta, r\right\}$, where $\theta \in \left[-\frac{\pi}{2}, \frac{\pi}{2}\right)$ and $r \in \left(-\infty, +\infty\right)$. + + +\begin{figure}[t] + \centering + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=1\linewidth]{thsis_figure/coord/ray.png} + \caption{} + \end{subfigure} + \hfill + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=1\linewidth]{thsis_figure/coord/polar.png} + \caption{} + \end{subfigure} + \caption{Different descriptions for anchor parameters. (a) Ray: start point and orientation. (b) polar: radius and angle.} + \label{coord} +\end{figure} + +We define two kinds of polar coordinate systems called the global coordinate system and the local coordinate system, with the origin points denoted as the global origin point $P_{0}^{\text{global}}$ and the local origin point $P_{0}^{\text{local}}$, correspondingly. For convenience, the global origin point is set around the static vanishing point of the whole lane image dataset, while the local origin points are set as lattice within the image. From Figure \ref{coord}, it is easy to see that only the radius parameters are influenced by the choise of the origin point, with the angle/orientation parameters keeping consistent. + +\subsection{Local polar Head} + +Dispired by the region proposal network in Faster RCNN \cite{}, the local polar proposal module aims to propose flexible anchors with high-quality in an image. As fig.\ref{lph} and fig. \ref{overall_architecture}. The highest level (P3) of FPN feature maps the input of $F \in \mathbb{R}^{C_{f} \times H_{f} \times W_{f}}$ are chosen as the input of Local Polar Head (LPH). After downsampling opereation, the feature map are fed into two branch, namely the regression branch and the classification branch: + +\begin{equation} + \begin{aligned} + &F_d\gets downsample\left( F \right), \,F_d\in \mathbb{R} ^{C_f\times H_l\times W_l}\\ + &F_{reg\,\,}\gets \phi _{reg}^{lph}\left( F_d \right), \,F_{reg\,\,}\in \mathbb{R} ^{2\times H_l\times W_l}\\ + &F_{cls}\gets \phi _{cls}^{lph}\left( F_d \right), \,F_{cls}\in \mathbb{R} ^{1\times H_l\times W_l} + \end{aligned} + \label{lph equ} +\end{equation} + + The regression branch aim to proposed lane anchors by predicting the two parameters $F_{reg\,\,} \equiv \left[\mathbf{\Theta}^{H_{l} \times W_{l}}, \mathbf{\xi}^{H_{l}\times W_{l}}\right]$ under the local polar coordinate system, which denotes the angles and the radius. The classification branch predicts the heat map of the local polar origin grid. By removing the local origin points with lower confidence, the potential positive lane anchors around the groundtruth are more likely to chosen while the background lane anchors are removed. Keeping it simple, the regression branch $\phi _{reg}^{lph}\left(\cdot \right)$ and the classification branch $\phi _{cls}^{lph}\left(\cdot \right)$ consists of one conv 1x1 layers and two conv 1x1 layers correspondingly. + + + +\begin{figure}[t] + \centering + \includegraphics[width=0.45\textwidth]{thsis_figure/local_polar_head.png} % 替换为你的图片文件名 + \caption{The main architecture of our model.} + \label{lph} +\end{figure} + +During the training stage, as fig. \ref{lphlabel},the ground truth label of local polar head is constructed as follows. The radius ground truth is defined as the shortest distance from a grid point (local plot origin point) to the ground truth lane curve. The ground truth of angle is defined as the orientation of the link from the grid point to the nearest points on the curve. Only one grid with the label of radius less than a threshold $\tau$ is set as a positive sample, while others are set as negative samples. Once the regression and classification labels are constructed, it can be easy to train the LPH by smooth-l1 loss and cross entropy loss (BCE). The LPH loss function is defined as follows: + +\begin{equation} + \begin{aligned} + \mathcal{L} _{lph}^{cls}&=BCE\left( F_{cls},F_{gt} \right) \\ + \mathcal{L} _{lph}^{r\mathrm{e}g}&=\frac{1}{N_{lph}^{pos}}\sum_{i\in \left\{i|\hat{r}_i<\tau \right\}}{\left( d\left( \theta _i-\hat{\theta}_i \right) +d\left( r_i-\hat{r}_i \right) \right)}\\ + % \mathcal{L} _{lph}^{r\mathrm{e}g}&=\lambda _{lph}^{cls}\mathcal{L} _{lph}^{cls}+\lambda _{lph}^{reg}\mathcal{L} _{lph}^{r\mathrm{e}g} + \end{aligned} + \label{loss_lpm} +\end{equation} + + +where $BCE\left( \cdot , \cdot \right) $ denotes the binary cross entropy loss and $d\left(\cdot \right)$ denotes the smooth-l1 loss. In order to keep the backbone training stability, the gradiants from the confidential branch to the backbone feature map are detached. + + +\begin{figure}[t] + \centering + \includegraphics[width=0.48\textwidth]{thsis_figure/coord/localpolar.png} + \caption{Label construction for local polar proposal module.} + \label{lphlabel} +\end{figure} + + + + +\subsection{Global polar Head} +Global polar head serves has the second stage of PolarRCNN, which accept the line pooling features as input and predict the accurate lane shape and localtion. The global polar head consist of 3 partsd. +Once the local polar parameter of a line anchor is provided, it can be transformed to the global polar coordinates with the following euqation: +\begin{equation} + \begin{aligned} + r^{global}=r^{local}+\left( x^{local}-x^{global} \right) \cos \theta + \\+\left( y^{local}-y^{global} \right) \sin \theta + \end{aligned} +\end{equation} +where $\left( x^{local}, y^{local} \right)$ and $\left( x^{global}, y^{global} \right)$ are the Cartesian coordinates of local and global origin points correspondingly. + +Then the feature points can be sample on the line anchor. The y coordinate of points is uniform sampled from the image vertically as mentioned before, and the $x_{i}$ is caculated using the global polar axis by the following equation: + +\begin{equation} + \begin{aligned} + x_{i\,\,}=-y_i\tan \theta +\frac{r}{\cos \theta} + \end{aligned} +\end{equation} + + +\begin{figure}[t] + \centering + \includegraphics[width=0.49\textwidth]{thsis_figure/triplet_head.png} % 替换为你的图片文件名 + \caption{The main architecture of global head} + \label{triplet} +\end{figure} + +\begin{figure}[t] + \centering + \includegraphics[width=0.4\textwidth]{thsis_figure/gnn.png} % 替换为你的图片文件名 + \caption{The main architecture of our model.} + \label{gnn} +\end{figure} + +\begin{figure}[t] + \centering + \includegraphics[width=0.49\textwidth]{thsis_figure/GLaneIoU.png} % 替换为你的图片文件名 + \caption{Illustrations of GLaneIoU re-defined in our work.} + \label{glaneiou} +\end{figure} + + +The RCNN Module consists of several MLP layers and predicts the confidence and the coordinate offset of $x_{i}$. During the training stage, all the $F\in \mathbb{R} ^{C_{f}\times H_{f}\times W_{f}}$ proposed anchors participate, and the SimOTA\ref{} label assignment strategy is used for the RCNN module to determine which anchors are positive anchors, irrespective of the confidence predicted by the LPM module. These strategies are employed because the negative/background anchors are also crucial for the adaptability of the RCNN module. + +The loss function is as follows: + +\begin{equation} + \begin{aligned} + \mathcal{L} _{RCNN}=c_{cls}\mathcal{L} _{cls}+c_{loc}\mathcal{L} _{loc} + \end{aligned} +\end{equation} +where $\mathcal{L} _{cls}$ is focal loss, and $\mathcal{L} _{loc}$ is LaneIou loss\cite{}. + +In the testing stage, anchors with the top-$k_{l}$ confidence are the chosed as the proposal anchors, and $k_{l}$ anchors are fed into the RCNN module to get the final predictions. + +\section{Experiment} + + + +\begin{figure}[t] + \centering + \includegraphics[width=0.48\textwidth]{thsis_figure/anchor_num_method.png} + \caption{Anchor Number and f1-score of different methods on CULane.} + \label{anchor_num_method} +\end{figure} + + +\begin{figure}[t] + \centering + \includegraphics[width=0.48\textwidth]{thsis_figure/anchor_num_testing_nmsfree.png} + \caption{Anchor Number and f1-score of different methods on CULane.} + \label{anchor_num_testing_nmsfree} +\end{figure} + + + + + +\begin{table*}[htbp] + \centering + \caption{Dataset \& preprocess} + \begin{adjustbox}{width=0.9\linewidth} + \begin{tabular}{l|l|ccccc} + \toprule + \multicolumn{2}{c|}{\textbf{Dataset}} & CULane & TUSimple & LLAMAS & DL-Rail & Curvelanes \\ + \midrule + \multirow{7}*{Data info} + & Train &3,268 &88,880&58,269&5,435&100,000\\ + & Validation &9,675 &358 &20,844&- &20,000 \\ + & Test &34,680&2,782 &20,929&1,569&- \\ + & Resolution &1640\times590&1280\times720&1276\times717&1920\times1080&2560\times1440, etc\\ + & Lane &\leqslant4&\leqslant5&\leqslant4&=2&\leqslant10\\ + & Environment &urban and highway & highway&highway&Railay&urban and highway\\ + & Property &sparse&sparse&sparse&sparse&sparse and dense\\ + \midrule + \multirow{1}*{Data Preprocess} + & Crop Height &270&160&300&560&640, etc\\ + \midrule + \multirow{8}*{Hyper Parameter} + & Epoch Number &32&70&20&90&32\\ + & Batch Size &40&24&32&40&40\\ + & Warm up iterations &800&200&800&400&800\\ + & Aux Loss &0.2&0 &0.2&0.2&0.2\\ + & Rank Loss &0.7&0.7&0.1&0.7&0 \\ + & O2M conf thres &0.48&0.40&0.40&0.40&0.45\\ + & O2O conf thres &0.46&0.46&0.46&0.46&0.44\\ + & Eval split &Test&Test&Test&Test&Validation\\ + & Vis split &Test&Test&Validation&Test&Validation\\ + \bottomrule + \end{tabular} + \end{adjustbox} + \label{dataset_info} + \end{table*} + + +\begin{table*}[htbp] + \centering + \caption{CULane Result compared with other methods} + \normalsize + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{lrlllllllllll} + \toprule + \textbf{Method}& \textbf{Backbone}&\textbf{F1@50}$\uparrow$& \textbf{F1@75}$\uparrow$& \textbf{Normal}$\uparrow$&\textbf{Crowded}$\uparrow$&\textbf{Dazzle}$\uparrow$&\textbf{Shadow}$\uparrow$&\textbf{No line}$\uparrow$& \textbf{Arrow}$\uparrow$& \textbf{Curve}$\uparrow$& \textbf{Cross}$\downarrow$ & \textbf{Night}$\uparrow$ \\ + \hline + \textbf{Seg \& Grid} \\ + \cline{1-1} + SCNN &VGG-16 &71.60&39.84&90.60&69.70&58.50&66.90&43.40&84.10&64.40&1900&66.10\\ + RESA &ResNet50 &75.30&53.39&92.10&73.10&69.20&72.80&47.70&83.30&70.30&1503&69.90\\ + LaneAF &DLA34 &77.41&- &91.80&75.61&71.78&79.12&51.38&86.88&72.70&1360&73.03\\ + UFLDv2 &ResNet34 &76.0 &- &92.5 &74.8 &65.5 &75.5 &49.2 &88.8 &70.1 &1910&70.8 \\ + CondLaneNet &ResNet101&79.48&61.23&93.47&77.44&70.93&80.91&54.13&90.16&75.21&1201&74.80\\ + \cline{1-1} + \textbf{Parameter} \\ + \cline{1-1} + BézierLaneNet &ResNet18&73.67&-&90.22&71.55&62.49&70.91&45.30&84.09&58.98&\textbf{996} &68.70\\ + BSNet &DLA34 &80.28&-&93.87&78.92&75.02&82.52&54.84&90.73&74.71&1485&75.59\\ + Eigenlanes &ResNet50&77.20&-&91.7 &76.0 &69.8 &74.1 &52.2 &87.7 &62.9 &1509&71.8 \\ + \cline{1-1} + \textbf{Keypoint} \\ + \cline{1-1} + CurveLanes-NAS-L &-u &74.80&-&90.70&72.30&67.70&70.10&49.40&85.80&68.40&1746&68.90\\ + FOLOLane &ResNet18 &78.80&-&92.70&77.80&75.20&79.30&52.10&89.00&69.40&1569&74.50\\ + GANet-L &ResNet101&79.63&-&93.67&78.66&71.82&78.32&53.38&89.86&77.37&1352&73.85\\ + \cline{1-1} + \textbf{Dense Anchor} \\ + \cline{1-1} + LaneATT &ResNet18 &75.13&51.29&91.17&72.71&65.82&68.03&49.13&87.82&63.75&1020&68.58\\ + LaneATT &ResNet122&77.02&57.50&91.74&76.16&69.47&76.31&50.46&86.29&64.05&1264&70.81\\ + CLRNet &Resnet18 &79.58&62.21&93.30&78.33&73.71&79.66&53.14&90.25&71.56&1321&75.11\\ + CLRNet &DLA34 &80.47&62.78&93.73&79.59&75.30&82.51&54.58&90.62&74.13&1155&75.37\\ + CLRerNet &DLA34 &81.12&64.07&94.02&80.20&74.41&\textbf{83.71}&56.27&90.39&74.67&1161&\textbf{76.53}\\ + \cline{1-1} + \textbf{Sparse Anchor} \\ + \cline{1-1} + ADNet &ResNet34&78.94&-&92.90&77.45&71.71&79.11&52.89&89.90&70.64&1499&74.78\\ + SRLane &ResNet18&79.73&-&93.52&78.58&74.13&81.90&55.65&89.50&75.27&1412&74.58\\ + Sparse Laneformer &Resnet50&77.83&-&- &- &- &- &- &- &- &- &- \\ + \hline + \textbf{Proposed Method} \\ + \cline{1-1} + PolarRCNN_{O2M} &ResNet18&80.81&63.96&94.12&79.57&76.53&83.33&55.06&90.62&79.50&1088&75.25\\ + PolarRCNN &ResNet18&80.81&63.96&94.12&79.57&76.53&83.33&55.06&90.62&79.50&1088&75.25\\ + PolarRCNN &ResNet34&80.92&63.97&94.24&79.76&76.70&81.93&55.40&\textbf{91.12}&79.85&1158&75.71\\ + PolarRCNN &ResNet50&81.34&64.77&94.45&\textbf{80.42}&75.82&83.61&56.62&91.10&80.05&1356&75.94\\ + PolarRCNN_{O2M} &DLA34 &\textbf{81.49}&64.96&\textbf{94.44}&80.36&\textbf{76.83}&83.68&56.53&90.85&\textbf{80.09}&1135&76.32\\ + PolarRCNN &DLA34 &\textbf{81.49}&\textbf{64.97}&\textbf{94.44}&80.36&\textbf{76.79}&83.68&\textbf{56.52}&90.85&\textbf{80.09}&1133&76.32\\ + \bottomrule + \end{tabular} +\end{adjustbox} + \label{culane result} +\end{table*} + + + + + + + + +\begin{table}[h] + \centering + \caption{TuSimple Result compared with other methods} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{lrcccc} + \toprule + \textbf{Method}& \textbf{Backbone}& \textbf{Acc(\%)}&\textbf{F1(\%)}&\textbf{FP(\%)}&\textbf{FN(\%)} \\ + \midrule + SCNN &VGG16 &96.53&95.97&6.17&\textbf{1.80}\\ + PolyLanenet&EfficientNetB0&93.36&90.62&9.42&9.33\\ + UFLDv2 &ResNet34 &88.08&95.73&18.84&3.70\\ + LaneATT &ResNet34 &95.63&96.77&3.53&2.92\\ + FOLOLane &ERFNet &\textbf{96.92}&96.59&4.47&2.28\\ + CondLaneNet&ResNet101 &96.54&97.24&2.01&3.50\\ + CLRNet &ResNet18 &96.84&97.89&2.28&1.92\\ + \midrule + PolarRCNN_{O2M} &ResNet18&96.21&\textbf{97.98}&2.17&1.86\\ + PolarRCNN &ResNet18&96.20&97.94&2.25&1.87\\ + \bottomrule + \end{tabular} + \end{adjustbox} +\end{table} + + + \begin{table}[h] + \centering + \caption{LLAMAS test results compared with other methods} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{lrcccc} + \toprule + \textbf{Method}& \textbf{Backbone}&\textbf{F1@50(\%)}&\textbf{Precision(\%)}&\textbf{Recall(\%)} \\ + \midrule + SCNN &ResNet34&94.25&94.11&94.39\\ + BézierLaneNet &ResNet34&95.17&95.89&94.46\\ + LaneATT &ResNet34&93.74&96.79&90.88\\ + LaneAF &DLA34 &96.07&96.91&95.26\\ + DALNet &ResNet34&96.12&\textbf{96.83}&95.42\\ + CLRNet &DLA34 &96.12&- &- \\ + \midrule + + PolarRCNN_{O2M} &ResNet18&96.05&96.80&95.32\\ + PolarRCNN &ResNet18&96.06&96.81&95.32\\ + PolarRCNN_{O2M} &DLA34&96.13&96.80&\textbf{95.47}\\ + PolarRCNN &DLA34&\textbf{96.14}&96.82&\textbf{95.47}\\ + + \bottomrule + \end{tabular} + \end{adjustbox} + \end{table} + + \begin{table}[h] + \centering + \caption{DL-Rail test results compared with other methods} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{lrccc} + \toprule + \textbf{Method}& \textbf{Backbone}&\textbf{mF1(\%)}&\textbf{F1@50(\%)}&\textbf{F1@75(\%)} \\ + \midrule + BézierLaneNet &ResNet18&42.81&85.13&38.62\\ + GANet-S &Resnet18&57.64&95.68&62.01\\ + CondLaneNet &Resnet18&52.37&95.10&53.10\\ + UFLDv1 &ResNet34&53.76&94.78&57.15\\ + LaneATT(with RPN) &ResNet18&55.57&93.82&58.97\\ + DALNet &ResNet18&59.79&96.43&65.48\\ + \midrule + PolarRCNN_{O2M} &ResNet18&\textbf{61.53}&\textbf{97.01}&\textbf{67.86}\\ + PolarRCNN &ResNet18&61.52&96.99&67.85\\ + \bottomrule + \end{tabular} + \end{adjustbox} + \end{table} + + + \begin{table}[h] + \centering + \caption{Curvelanes validation results compared with other methods} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{lrcccc} + \toprule + \textbf{Method}& \textbf{Backbone}&\textbf{F1(\%)}&\textbf{Precision(\%)}&\textbf{Recall(\%)} \\ + \midrule + SCNN &VGG16 &65.02&76.13&56.74\\ + Enet-SAD &- &50.31&63.60&41.60\\ + PointLanenet &ResNet101&78.47&86.33&72.91\\ + CurveLane-S &- &81.12&93.58&71.59\\ + CurveLane-M &- &81.80&93.49&72.71\\ + CurveLane-L &- &82.29&91.11&75.03\\ + UFLDv2 &ResNet34 &81.34&81.93&80.76\\ + CondLaneNet-M &ResNet34 &85.92&88.29&83.68\\ + CondLaneNet-L &ResNet101&86.10&88.98&83.41\\ + CLRNet &DLA34 &86.10&91.40&81.39\\ + CLRerNet &DLA34 &86.47&91.66&81.83\\ + \hline + PolarRCNN &DLA34&\textbf{87.29}&90.50&\textbf{84.31}\\ + \hline + \end{tabular} + \end{adjustbox} + \end{table} + + + + + + + + + \begin{table}[h] + \centering + \caption{Comparsion between different anchor strategies} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{c|ccc|cc} + \toprule + \textbf{Anchor strategy}&\textbf{Local R}& \textbf{Local Angle}&\textbf{Auxloss}&\textbf{F1@50}&\textbf{F1@75}\\ + \midrule + \multirow{2}*{Fixed} + &- &- & &79.90 &60.98\\ + &- &- &\checkmark&80.38 &62.35\\ + \midrule + \multirow{5}*{Porposal} + & & & &75.85 &58.97\\ + &\checkmark& & &78.46 &60.32\\ + & &\checkmark& &80.31 &62.13\\ + &\checkmark&\checkmark& &80.51 &63.38\\ + &\checkmark&\checkmark&\checkmark&\textbf{80.81}&\textbf{63.97}\\ + \bottomrule + \end{tabular} + \end{adjustbox} +\end{table} + + \begin{table}[h] + \centering + \caption{NMS vs NMS-free on Curvelanes} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{l|l|ccc} + \toprule + \textbf{Paradigm} & \textbf{NMS thres(pixel)} & \textbf{F1(\%)} & \textbf{Precision(\%)} & \textbf{Recall(\%)} \\ + \midrule + \multirow{7}*{PolarRCNN_{O2M}} + & 50 (default) &85.38&\textbf{91.01}&80.40\\ + & 40 &85.97&90.72&81.68\\ + & 30 &86.26&90.44&82.45\\ + & 25 &86.38&90.27&82.83\\ + & 20 &86.57&90.05&83.37\\ + & 15 (optimal) &86.81&89.64&84.16\\ + & 10 &86.58&88.62&\textbf{84.64}\\ + \midrule + PolarRCNN (NMS-free) & - &\textbf{87.29}&90.50&84.31\\ + \bottomrule + \end{tabular} + \end{adjustbox} + \end{table} + + + \begin{table}[h] + \centering + \caption{Ablation study on nms-free block} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{cccc|ccc} + \toprule + \textbf{GNN}&\textbf{Cls Mat}& \textbf{Nbr Mat}&\textbf{Rank Loss}&\textbf{F1@50}&\textbf{Precision(\%)} & \textbf{Recall(\%)} \\ + \midrule + & & & &16.19&69.05&9.17\\ + \checkmark&\checkmark& & &79.42&88.46&72.06\\ + \checkmark& &\checkmark& &71.97&73.13&70.84\\ + \checkmark&\checkmark&\checkmark& &80.74&88.49&74.23\\ + \checkmark&\checkmark&\checkmark&\checkmark&\textbf{80.78}&\textbf{88.49}&\textbf{74.30}\\ + \bottomrule + \end{tabular}\ + \end{adjustbox} +\end{table} + + +\begin{table}[h] + \centering + \caption{The ablation study for structure on CULane test set} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{c|l|lll} + \toprule + \multicolumn{2}{c|}{\textbf{Anchor strategy~/~assign}} & \textbf{F1@50(\%)} & \textbf{Precision(\%)} & \textbf{Recall(\%)} \\ + \midrule + \multirow{6}*{Fixed} + &O2M-B w/~ NMS &80.38&87.44&74.38\\ + &O2M-B w/o NMS &44.03\textcolor{darkgreen}{~(36.35$\downarrow$)}&31.12\textcolor{darkgreen}{~(56.32$\downarrow$)}&75.23\textcolor{red}{~(0.85$\uparrow$)}\\ + \cline{2-5} + &O2O-B w/~ NMS &78.72&87.58&71.50\\ + &O2O-B w/o NMS &78.23\textcolor{darkgreen}{~(0.49$\downarrow$)}&86.26\textcolor{darkgreen}{~(1.32$\downarrow$)}&71.57\textcolor{red}{~(0.07$\uparrow$)}\\ + \cline{2-5} + &O2O-G w/~ NMS &80.37&87.44&74.37\\ + &O2O-G w/o NMS &80.27\textcolor{darkgreen}{~(0.10$\downarrow$)}&87.14\textcolor{darkgreen}{~(0.30$\downarrow$)}&74.40\textcolor{red}{~(0.03$\uparrow$)}\\ + \midrule + \multirow{6}*{Proposal} + &O2M-B w/~ NMS &80.81&88.53&74.33\\ + &O2M-B w/o NMS &36.46\textcolor{darkgreen}{~(44.35$\downarrow$)}&24.09\textcolor{darkgreen}{~(64.44$\downarrow$)}&74.93\textcolor{red}{~(0.6$\uparrow$)}\\ + \cline{2-5} + &O2O-B w/~ NMS &77.27&92.64&66.28\\ + &O2O-B w/o NMS &47.11\textcolor{darkgreen}{~(30.16$\downarrow$)}&36.48\textcolor{darkgreen}{~(56.16$\downarrow$)}&66.48\textcolor{red}{~(0.20$\uparrow$)}\\ + \cline{2-5} + &O2O-G w/~ NMS &80.81&88.53&74.32\\ + &O2O-G w/o NMS &80.81\textcolor{red}{~(0.00$\uparrow$)}&88.52\textcolor{darkgreen}{~(0.01$\downarrow$)}&74.33\textcolor{red}{~(0.01$\uparrow$)}\\ + \bottomrule + \end{tabular} + \end{adjustbox} +\end{table} + + + +\begin{table}[h] + \centering + \caption{The ablation study for stop grad on CULane test set} + \begin{adjustbox}{width=\linewidth} + \begin{tabular}{c|c|lll} + \toprule + \multicolumn{2}{c|}{\textbf{Paradigm}} & \textbf{F1(\%)} & \textbf{Precision(\%)} & \textbf{Recall(\%)} \\ + \midrule + \multirow{2}*{Baseline} + &O2M-B w/~ NMS &78.83&88.99&70.75\\ + &O2O-G w/o NMS &71.68\textcolor{darkgreen}{~(7.15$\downarrow$)}&72.56\textcolor{darkgreen}{~(16.43$\downarrow$)}&70.81\textcolor{red}{~(0.06$\uparrow$)}\\ + \midrule + \multirow{2}*{Stop grad} + &O2M-B w/~ NMS &80.81&88.53&74.33\\ + &O2O-G w/o NMS &80.81\textcolor{red}{~(0.00$\uparrow$)}&88.52\textcolor{darkgreen}{~(0.01$\downarrow$)}&74.33\textcolor{red}{~(0.00$\uparrow$)} \\ + \bottomrule + \end{tabular} + \end{adjustbox} +\end{table} + + +\section{Conclusion} +The conclusion goes here. + + +\section*{Acknowledgments} +This should be a simple paragraph before the References to thank those individuals and institutions who have supported your work on this article. + + + +%{\appendices +%\section*{Proof of the First Zonklar Equation} +%Appendix one text goes here. +% You can choose not to have a title for an appendix if you want by leaving the argument blank +%\section*{Proof of the Second Zonklar Equation} +%Appendix two text goes here.} + + +\bibliographystyle{IEEEtran} +\bibliography{ref} + + +\newpage + +\section{Biography Section} +If you have an EPS/PDF photo (graphicx package needed), extra braces are + needed around the contents of the optional argument to biography to prevent + the LaTeX parser from getting confused when it sees the complicated + $\backslash${\tt{includegraphics}} command within an optional argument. (You can create + your own custom macro containing the $\backslash${\tt{includegraphics}} command to make things + simpler here.) + +\vspace{11pt} + +\bf{If you include a photo:}\vspace{-33pt} +\begin{IEEEbiography}[{\includegraphics[width=1in,height=1.25in,clip,keepaspectratio]{fig1}}]{Michael Shell} +Use $\backslash${\tt{begin\{IEEEbiography\}}} and then for the 1st argument use $\backslash${\tt{includegraphics}} to declare and link the author photo. +Use the author name as the 3rd argument followed by the biography text. +\end{IEEEbiography} + +\vspace{11pt} + +\bf{If you will not include a photo:}\vspace{-33pt} +\begin{IEEEbiographynophoto}{John Doe} +Use $\backslash${\tt{begin\{IEEEbiographynophoto\}}} and the author name as the argument followed by the biography text. +\end{IEEEbiographynophoto} + + + + +\vfill + +\end{document} + + diff --git a/main2.tex b/main2.tex new file mode 100644 index 0000000..4840845 --- /dev/null +++ b/main2.tex @@ -0,0 +1,38 @@ +\documentclass{article} +\usepackage{graphicx} +\usepackage{subcaption} + +\begin{document} + +\begin{figure} + \centering + \begin{subfigure}{0.45\textwidth} + \centering + \includegraphics[width=0.8\linewidth]{lanefig/anchor_demo/anchor_fix_init.jpg} + \caption{} + \label{fig:image1} + \end{subfigure} + \begin{subfigure}{0.45\textwidth} + \centering + \includegraphics[width=0.8\linewidth]{lanefig/anchor_demo/anchor_fix_init.jpg} + \caption{} + \label{fig:image2} + \end{subfigure} + \\ % 换行 + \begin{subfigure}{0.45\textwidth} + \centering + \includegraphics[width=0.8\linewidth]{lanefig/anchor_demo/anchor_fix_init.jpg} + \caption{} + \label{fig:image3} + \end{subfigure} + \begin{subfigure}{0.45\textwidth} + \centering + \includegraphics[width=0.8\linewidth]{lanefig/anchor_demo/anchor_fix_init.jpg} + \caption{} + \label{fig:image4} + \end{subfigure} + \caption{这是四张图片的组合} + \label{fig:subfigures} +\end{figure} + +\end{document} \ No newline at end of file diff --git a/main333.tex b/main333.tex new file mode 100644 index 0000000..1da95ec --- /dev/null +++ b/main333.tex @@ -0,0 +1,451 @@ +\documentclass[lettersize,journal]{IEEEtran} +\usepackage{amsmath,amsfonts} +\usepackage{algorithmic} +\usepackage{algorithm} +\usepackage{array} +% \usepackage[caption=false,font=normalsize,labelfont=sf,textfont=sf]{subfig} +\usepackage{textcomp} +\usepackage{stfloats} +\usepackage{url} +\usepackage{verbatim} +\usepackage{graphicx} +\usepackage{cite} +\usepackage{subcaption} +\usepackage{graphicx} +% \usepackage{subfigure} +\usepackage[T1]{fontenc} + +\hyphenation{op-tical net-works semi-conduc-tor IEEE-Xplore} +% updated with editorial comments 8/9/2021 + +\begin{document} + +\title{PlorRCNN:\@ Fewer Anchors for Lane Deteciton} + +\author{IEEE Publication Technology,~\IEEEmembership{Staff,~IEEE,} + % <-this % stops a space +\thanks{This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.}% <-this % stops a space +\thanks{Manuscript received April 19, 2021; revised August 16, 2021.}} + +% The paper headers +\markboth{Journal of \LaTeX\ Class Files,~Vol.~14, No.~8, August~2021}% +{Shell \MakeLowercase{\textit{et al.}}: A Sample Article Using IEEEtran.cls for IEEE Journals} + +% \IEEEpubid{0000--0000/00\$00.00~\copyright~2021 IEEE} +% Remember, if you use this you must call \IEEEpubidadjcol in the second +% column for its text to clear the IEEEpubid mark. + +\maketitle + +\begin{abstract} +Lane detection is a critical and challenging task in autonomous driving, particularly in real-world scenarios where traffic lanes are often slender, lengthy, and partially obscured by other vehicles, complicating detection efforts. Existing anchor-based methods typically rely on prior line anchors or grid anchors to extract features and regress lane location and shape. However, manually setting these prior anchors based on lane distribution is cumbersome, and ensuring sufficient anchor coverage across diverse datasets requires a large number of anchors. In this study, we introduce PlorRCNN, a two-stage anchor-based method for lane detection. Our approach effectively reduces the number of lane anchors without sacrificing performance, yielding competitive results on three prominent 2D lane detection benchmarks (Tusimple, CULane, and LLAMAS) while maintaining a lightweight model size. +\end{abstract} + +\begin{IEEEkeywords} +Lane detection +\end{IEEEkeywords} + +\section{Introduction} +\IEEEPARstart{L}{ane} detection is a significant problem in computer vision and autonomous driving, forming the basis for accurately perceiving the driving environment in intelligent driving systems. While extensive research has been conducted in ideal environments, it remains a challenging task in adverse scenarios such as night driving, glare, crowd, and rainy conditions, where lanes may be occluded or damaged. Moreover, the slender shapes and complex topologies of lanes add to the complexity of detection challenges. An effective lane detection method should take into account both high-level semantic features and low-level features to address these varied conditions and ensure robust performance with a fast speed in real-time applications such as autonomous driving. + +Traditional methods predominantly concentrate on handcrafted local feature extraction and lane shape modeling. Techniques such as the Canny edge detector\cite{canny1986computational}, Hough transform\cite{houghtransform}, and deformable templates for lane fitting\cite{kluge1995deformable} have been extensively utilized. Nevertheless, these approaches often encounter limitations in practical settings, particularly when low-level and local features lack clarity or distinctiveness. + +In recent years, fueled by advancements in deep learning and the availability of large datasets, significant strides have been made in lane detection. Deep models, including convolutional neural networks (CNNs) and transformer-based architectures, have propelled progress in this domain. Previous approaches often treated lane detection as a segmentation task, albeit with simplicity came time-intensive computations. Some methods relied on parameter-based models, directly outputting lane curve parameters instead of pixel locations. These models offer end-to-end solutions, but the curve parameter sensitivity to lane shape compromises robustness. + +\begin{figure}[t] + \centering + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{lanefig/anchor_demo/anchor_fix_init.jpg} + \caption{} + \end{subfigure} + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{lanefig/anchor_demo/anchor_fix_learned.jpg} + \caption{} + \end{subfigure} + %\qquad + %让图片换行， + + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{lanefig/anchor_demo/anchor_proposal.jpg} + \caption{} + \end{subfigure} + \begin{subfigure}{0.49\linewidth} + \centering + \includegraphics[width=0.9\linewidth]{lanefig/anchor_demo/gt.jpg} + \caption{} + \end{subfigure} + \caption{Compare with the anchor setting with other methods. (a) The initial anchor settings of CLRNet. (b) The learned anchor settings of CLRNet trained on CULane. (c) The proposed anchors of our method. (d) The ground truth.} + \label{anchor setting} +\end{figure} + +Drawing inspiration from object detection methods, several anchor-based approaches have been introduced for lane detection, such as row anchors and straight lane anchors. These methods have demonstrated superior performance by leveraging anchor priors and enabling larger receptive fields for feature extraction. However, anchor-based methods encounter challenges, with the main issue lying in the configuration of anchor priors, specifically in determining the optimal number and locations of anchors. It is imperative that the anchor number is sufficiently large to cover all potential lane locations, yet this may lead to increased model complexity and the introduction of numerous background (negative) anchors. Some studies utilize multiple row and column anchors, though label assignment remains a manually crafted process based on angle considerations. Alternatively, other approaches employ region proposal techniques, generating flexible and high-quality anchors for each image through the use of theta maps and starting points maps, rather than fixed anchors. Though this method offers adaptability, its performance may lag behind anchor-fixed (one-stage) approaches, suffering from the feature training of multitask loss funtions. This phenomenon also appear in our method, which we will discuss later. + +In this paper, to address the some problems of anchor-based, we proposed PlorRCNN, a two-stage model based on local and global plor coordinate system. As shown in Figure \ref{anchor setting}, different from previous work\cite{} with a large amount of predefined anchors, our method propose a fewer anchors with high quality than other fixed anchor-based method. The proposal module is position aware and most of the propoal anchors are around the ground truth, so as to provide a strong base for the second stage to regress the lane more accurate. + +% We also introduce plor refinement to refine the anchor shape by segmentation. The architectures of our baseline is simple, only use the CNN and MLP layers, without any complicated block such as self attention or +Our main contribution are summarized as follows: + +\begin{itemize} +\item We simplified the anchor parameters with local and global plor system. +\item We proposed local plor module to generate a set of anchors for each image with high quality and more fiexibility. +\item Our proposed method can get competitive performance with other advanded methods. With more than 80\% f1 -score on CULane with a light weight backbone with ResNet-18 +\end{itemize} + + +\section{Related Works} +The lane detection aims to detect lane instances in a image. In this section, we only introduce deep-leanrning based methods for lane detection. The lane detection methods can be categorized by segmentation based parameter-based methods and anchor-based methods. + +\textbf{Segmentation-based Methods.} Segmentation-based methods focus on pixel-wise prediction. They predefined each pixel into different categories according to different lane instances and background\cite{} and predicted information pixel by pixel. However, these methods overly focus on low-level and local features, neglecting global semantic information and real-time detection. SCNN uses a larger receptive field to overcome this problem. Some methods such as UFLDv1 and v2\cite{}\cite{} and CondLaneNet\cite{} utilize row-wise or column-wise classification instead of pixel classification to improve detection speed. Another issue with these methods is that the lane instance prior is learned by the model itself, leading to a lack of prior knowledge. Lanenet uses post-clustering to distinguish each lane instance. UFLD divides lane instances by angles and locations and can only detect a fixed number of lanes. CondLaneNet utilizes different conditional dynamic kernels to predict different lane instances. Some methods such as FOLOLane\cite{} and GANet\cite{} use bottom-up strategies to detect a few key points and model their global relations to form lane instances. + +\textbf{Parameter-based Methods.} Instead of predicting a series of points locations or pixel classes, parameter-based methods directly generate the curve parameters of lane instances. PolyLanenet\cite{} and LSTR\cite{} consider the lane instance as a polynomial curve and output the polynomial coefficients directly. BézierLaneNet\cite{} treats the lane instance as a Bézier curve and generates the locations of control points of the curve. BSLane uses B-Spline to describe the lane, and the curve parameters focus on the local shapes of lanes. Parameter-based methods are mostly end-to-end without postprocessing, which grants them faster speed. However, since the final visual lane shapes are sensitive to the lane shape, the robustness and generalization of parameter-based methods may be less than ideal. + + +\textbf{Anchor-Based Methods.} Inspired by some methods in general object detection like YOLO \cite{} and DETR \cite{}, anchor-based methods have been proposed for lane detection. Line-CNN is the earliest work, to our knowledge, that utilizes line anchors to detect lanes. The lines are designed as rays emitted from the three edges (left, bottom, and right) of an image. However, the receptive field of the model only focuses on edges and is slower than some methods. LaneATT \cite{} employs anchor-based feature pooling to aggregate features along the whole line anchor, achieving faster speed with better performance. Nevertheless, the grid sampling strategy and label assignment limit its potential. CLRNet \cite{} utilizes cross-layer refinement strategies, SimOTA label assignment \cite{}, and Liou loss to enhance anchor-based performance beyond most methods. The main advantage of anchor-based methods is that many strategies from anchor-based general object detection can be easily applied to lane detection, such as label assignment, bounding box refinement, and GIOU loss, etc. However, the disadvantages of existing anchor-based lane detection are also evident. The line anchors need to be handcrafted, and the number of anchors is large, resulting in high computational consumption. Motivated by this, ADNet \cite{} uses theta map and start point map to propose more flexible anchors, but its performance is lower than that of CLRNet, which employs a set of handcrafted predefined anchors. + +To address the issues present in anchor-based methods, we have developed a novel anchor proposal module designed to achieve higher performance with fewer anchors. + + + + +\section{Method} +\subsection{Overall architecture} +To reduce the number of anchors, we design a two-stage network for lane detection similar to Faster R-CNN \cite{}. Figure \ref{} illustrates the overall pipeline of our model. The backbone extracts the image features, the local polar serves as the first stage to propose line anchors, and the RCNN block serves as the second stage to aggregate the line features along the line anchors to predict the lane instance. We will introduce these blocks in detail in the following subsections. + + +\subsection{Lane and Line Anchor Representation} + +Lanes are thin and long curves, a suitable lane prior helps the model to extract features and predict location and modeling the shapes of lane curves more accurately. Like privious works\cite{}\cite{}, the lane prior in our work are straight lines and we sample a sequense of 2D points on each line anchor, i.e. $ P\doteq \left\{ \left( x_1, y_1 \right) , \left( x_2, y_2 \right) , ....,\left( x_n, y_n \right) \right\} $, where N is the number of sampled points, The y coordinate of points is uniform sampled from the image vertically, i.e. $y_i=\frac{H}{N-1}*i$, where H is the image height. The same y coordinate of points are also sampled from the groundtruth lane and the model regress the x coordinate offset from line anchor to lane instance ground truth. + +\textbf{Plor Coordinate system.} Since the line anchors are always straight in our method, we use straight line parameters to describe a line anchor. Previous work uses a ray to describe a line anchor, where the parameters of a ray contain the start point's coordinates and its orientation/angle, i.e., $\left\{\theta, P_{xy}\right\}$, as shown in Figure \ref{coord} (a). Using a ray may cause ambiguity in describing a line because a line may have infinite start points. As illustrated in Figure \ref{coord} (a), the yellow and darkgreen start points with the same orientation $\theta$ describe the same line. This ambiguity arises because a straight line has two degrees of freedom while a ray has three degrees of freedom. Motivated by this, as shown in Figure \ref{coord} (b), we use polar coordinate systems to describe a line anchor with two parameters for radius and angle $\left\{\theta, r\right\}$, where $\theta \in \left[-\frac{\pi}{2}, \frac{\pi}{2}\right]$ and $r \in \left(-\infty, +\infty\right)$. + + + + + + + +% \begin{figure}[t] +% \centering +% \begin{subfigure}{1\linewidth} +% \centering +% \includegraphics[width=0.2\linewidth]{lanefig/coord/ray.png} +% \caption{} +% \end{subfigure} +% \begin{subfigure}{1\linewidth} +% \centering +% \includegraphics[width=0.2\linewidth]{lanefig/coord/plor.png} +% \caption{} +% \end{subfigure} +% \caption{Different descriptions for anchor parameters. (a) Ray: start point and oritation. (b) Plor: radius and angle.} +% \label{coord} +% \end{figure} + + +% \begin{figure}[t] +% \centering +% \begin{subfigure}{0.49\linewidth} +% \centering +% \includegraphics[width=1\linewidth]{lanefig/coord/ray.png} +% \caption{} +% \end{subfigure} +% \hfill +% \begin{subfigure}{0.49\linewidth} +% \centering +% \includegraphics[width=1\linewidth]{lanefig/coord/plor.png} +% \caption{} +% \end{subfigure} +% \caption{Different descriptions for anchor parameters. (a) Ray: start point and orientation. (b) Plor: radius and angle.} +% \label{coord} +% \end{figure} + +The polar coordinate should have an origin point. We define two kinds of polar coordinate systems called the global coordinate system and the local coordinate system, with the origin points denoted as the global origin point $P_{0}^{\text{global}}$ and the local origin point $P_{0}^{\text{local}}$, respectively. For convenience, the global origin point is set around the static vanishing point of the lane image dataset, while the local origin points can be set anywhere within the image. From Figure \ref{coord}, it is easy to see that both the global and local coordinate systems share the same angle parameter $\theta$ for the same line anchor, with only the radius being different. + + + + + + +\subsection{Local Plor Proposal Module} + + + + + +Just like the region proposal network in Faster RCNN \cite{}, the local polar proposal module aims to propose flexible anchors with high-quality in an image. The backbone receives an image $I \in \mathbb{R}^{3 \times H \times W}$ and outputs the feature map $F \in \mathbb{R}^{C_{f} \times H_{f} \times W_{f}}$. We set each of the $H_{f} \times W_{f}$ map grids as local origin points for different local polar systems. The output of the local polar proposal consists of two branches. The first branch is called the polar coordinate branch, and it predicts anchor parameters under the corresponding local polar coordinate, i.e., $\left[\mathbf{\Theta}^{H_{f} \times W_{f}}, \mathbf{\xi}^{H_{f}\times W_{f}}\right]$, which denotes the angle and radius, respectively. The second branch is called the polar confidence branch, which predicts the confidence of each proposed anchor in the first stage, i.e., $\delta^{H_{f} \times W_{f} }$. To keep the model lightweight, the local polar proposal module (LPM) is composed of several convolutional layers. + +During the training stage, the ground truth of proposal parameters is constructed as follows. The absolute value of radius ground truth is defined as the shortest distance from a grid point (local plot origin point) to the lane curve. The ground truth of angle is defined as the orientation of the link from the grid point to the shortest points on the curve. Only one grid with radius less than a threshold $\tau$ is set as a positive sample, while others are set as negative samples. Figure \ref{LPM} illustrates the label construction process for LPM. Therefore, the LPM training loss function is as follows: + +\begin{equation} + \begin{aligned} + \mathcal{L} _{LPM}&=BCE\left( \delta , \delta _{gt} \right) \\ + &+\sum_i^{N_{pos}}{\left( d\left( \theta _{pos,i}-\theta _{gt,i} \right) +d\left( r_{pos,i}-r_{gt,i} \right) \right)} + \end{aligned} + \label{loss_lpm} +\end{equation} + + +where $BCE\left( \cdot , \cdot \right) $ denotes the binary cross entropy loss and $d\left(\cdot \right)$ denotes the smooth-l1 loss. In order to keep the backbone training stability, the gradiants from the confidential branch to the backbone feature map are detached. + + +% \begin{figure}[t] +% \centering +% \includegraphics[width=0.7\linewidth]{lanefig/coord/localplor.png} +% \caption{Label construction for local plor proposal module.} +% \label{LPM} +% \end{figure} + +During the test stage, once the local plor parameter of a line anchor is provided, it can be transformed to the global plor coordinates with the following euqation: +\begin{equation} + \begin{aligned} + r^{global}=r^{local}+\left( x^{local}-x^{global} \right) \cos \theta + \\+\left( y^{local}-y^{global} \right) \sin \theta + \end{aligned} +\end{equation} +where $\left( x^{local}, y^{local} \right)$ and $\left( x^{global}, y^{global} \right)$ are the Cartesian coordinates of local and global origin points correspondingly. + + +\subsection{RCNN Module} +The second stage is RCNN Module, which accept the line pooling features as input and predict the accurate lane shape and localtion. Once a proposal anchor global plor parameters $\left\{ \theta , r \right\} $ are provided, the feature points can be sample on the line anchor. The y coordinate of points is uniform sampled from the image vertically as mentioned before, and the $x_{i}$ is caculated by the following equation: + +\begin{equation} + \begin{aligned} + x_{i\,\,}=-y_i\tan \theta +\frac{r}{\cos \theta} + \end{aligned} +\end{equation} + +The RCNN Module consists of several MLP layers and predicts the confidence and the coordinate offset of $x_{i}$. During the training stage, all the $F\in \mathbb{R} ^{C_{f}\times H_{f}\times W_{f}}$ proposed anchors participate, and the SimOTA\ref{} label assignment strategy is used for the RCNN module to determine which anchors are positive anchors, irrespective of the confidence predicted by the LPM module. These strategies are employed because the negative/background anchors are also crucial for the adaptability of the RCNN module. + +The loss function is as follows: + +\begin{equation} + \begin{aligned} + \mathcal{L} _{RCNN}=c_{cls}\mathcal{L} _{cls}+c_{loc}\mathcal{L} _{loc} + \end{aligned} +\end{equation} + +where $\mathcal{L} _{cls}$ is focal loss, and $\mathcal{L} _{loc}$ is LaneIou loss\cite{}. + +In the testing stage, anchors with the top-$k_{l}$ confidence are the chosed as the proposal anchors, and $k_{l}$ anchors are fed into the RCNN module to get the final predictions. + + +\section{Experiment} + + +\begin{table*}[h] + \centering + \caption{CULane Result compared with other methods} + \begin{tabular}{cccccccccccc} + \hline + \textbf{Method}& \textbf{Backbone}& \textbf{F1@50}$\uparrow$ & \textbf{Normal}$\uparrow$&\textbf{Crowded}$\uparrow$&\textbf{Dazzle}$\uparrow$&\textbf{Shadow}$\uparrow$&\textbf{No line}$\uparrow$& \textbf{Arrow}$\uparrow$& \textbf{Curve}$\uparrow$& \textbf{Cross}$\downarrow$ & \textbf{Night}$\uparrow$ \\ + \hline + \textbf{Segmentation Based} \\ + \cline{1-1} + SCNN &VGG-16&71.60&90.60&69.70&58.50&66.90&43.40&84.10&64.40&1900&66.10 \\ + RESA &ResNet50&75.3&92.10&73.10&69.20&72.80&47.70&83.30&70.30&1503&69.90 \\ + LaneAF &DLA34&77.41&91.80&75.61&71.78&79.12&51.38&86.88&72.70&1360&73.03 \\ + \cline{1-1} + \textbf{Parameter Based} \\ + \cline{1-1} + % LSTR &ResNet18&64.00&&&&&&& \\ + BezierLanenet &ResNet18&73.67&90.22&71.55&62.49&70.91&45.30&84.09&58.98&996&68.70\\ + BSNet &ResNet34&79.89&93.75&78.01&76.65&79.55&54.69&90.72&73.99& 1455&75.28\\ + % Eigenlanes &ResNet50&77.20&&&&&&&&&&&& \\ + % Laneformer &ResNet50&77.06&&&&&&&&&&& \\ + \cline{1-1} + \textbf{Anchor Based} \\ + \cline{1-1} + LaneATT &ResNet122&77.02&91.74&76.16&69.47&76.31&50.46&86.29&64.05&1264&70.81 \\ + ADNet &ResNet34&78.94&92.90&77.45&71.71&79.11&52.89&89.90&70.64&1499&74.78 \\ + % CLRNet &ResNet34&79.73&&&&&&&& \\ + CLRNet &ResNet101&80.13&93.85&78.78&72.49&82.33&54.50&89.79&75.57&1262&75.51 \\ + CLRNet &DLA34&80.47&93.73&79.59&75.30&82.51&54.58&90.62&74.13&1155&75.37 \\ + \hline + PlorRCNN (ours) &ResNet18&80.81&94.11&79.62&75.65&82.43&54.41&90.49&77.02&975&75.59\\ + PlorRCNN-NMS-free (ours) &ResNet18&80.37&93.81&79.07&74.73&81.40&53.73&89.91&75.64&\textbf{941}&75.41\\ + PlorRCNN (ours) &ResNet34&80.95&\textbf{94.33}&79.68&\textbf{75.87}&82.89&55.69&\textbf{90.90}&78.40&1182&75.84\\ + PlorRCNN (ours) &ResNet50&\textbf{81.23}&94.32&\textbf{80.22}&75.04&\textbf{83.40}&\textbf{56.25}&90.41&\textbf{78.94}&1271&\textbf{76.16}\\ + \hline + \end{tabular} + + \label{tab:my_table} +\end{table*} + +\begin{table}[h] + \centering + \begin{tabular}{cccccc} + \hline + \textbf{Fix anchor}& \textbf{Plor angle}& \textbf{Plor r}&\textbf{Auxloss}&\textbf{F1@50}&\textbf{F1@75} \\ + \hline + \checkmark&&&\checkmark&80.29&62.05\\ + &&\checkmark&\checkmark&54.48&25.28\\ + &\checkmark&&\checkmark&80.30&62.67\\ + &\checkmark&\checkmark&&80.51&63.09\\ + &\checkmark&\checkmark&\checkmark&\textbf{80.81}&\textbf{63.64}\\ + \hline + \end{tabular} + \caption{CULane Result compared with other methods} +\end{table} + + +\begin{table}[h] + \centering + \begin{tabular}{ccccc} + \hline + \textbf{Local Plor Size}& \textbf{Top-60}& \textbf{Top-40}&\textbf{Top-20}&\textbf{Top-10} \\ + \hline + $2\times10$&/&/&80.54&80.50\\ + $4\times10$&/&80.81&80.81&80.39\\ + $5\times12$&80.86&80.86&80.82&79.68\\ + \hline + \end{tabular} + \caption{CULane Result compared with other methods} +\end{table} + + +\begin{table}[h] + \centering + \begin{tabular}{cccccc} + \hline + \textbf{Method}& \textbf{Backbone}& \textbf{F1(\%)}&\textbf{Acc(\%)}&\textbf{FP(\%)}&\textbf{FN(\%)} \\ + \hline + SCNN&VGG16&95.97&96.53&6.17&1.80\\ + PolyLanenet&EfficientNetB0&90.62&93.36&9.42&9.33\\ + UFLD&ResNet18&87.87&95.82&19.05&3.92\\ + UFLD&ResNet34&88.02&95.86&18.91&3.75\\ + LaneATT&ResNet34&96.77&95.63&3.53&2.92\\ + LaneATT&ResNet122&96.06&96.10&5.64&2.17\\ + FOLOLane&ERFNet&96.59&96.92&4.47&2.28\\ + CondLaneNet&ResNet101&97.24&96.54&2.01&3.50\\ + CLRNet&ResNet18&97.89&96.84&2.28&1.92\\ + \hline + PlorRCNN(ours)&ResNet18&\textbf{98.00}&96.00&\textbf{1.75}&2.25\\ + PlorRCNN-NMS-free(ours)&ResNet18&97.65&96.02&2.52&2.15\\ + \hline + \end{tabular} + \caption{CULane Result compared with other methods} +\end{table} + + + +\begin{table}[h] + \centering + \begin{tabular}{cccc} + \hline + \textbf{Attention}& \textbf{Id Embeddings}& \textbf{Plor Embeddings}&\textbf{F1@50}\\ + \hline + &&&69.12\\ + \checkmark&&&75.55\\ + \checkmark&\checkmark&&78.30\\ + \checkmark&&\checkmark&76.14\\ + \checkmark&\checkmark&\checkmark&80.37\\ + \hline + \end{tabular} + \caption{CULane Result compared with other methods} +\end{table} + + + + + + + + + + + + + + + + + + + + +% \section{References Section} +% You can use a bibliography generated by BibTeX as a .bbl file. +% BibTeX documentation can be easily obtained at: +% http://mirror.ctan.org/biblio/bibtex/contrib/doc/ +% The IEEEtran BibTeX style support page is: +% http://www.michaelshell.org/tex/ieeetran/bibtex/ + + % argument is your BibTeX string definitions and bibliography database(s) +%\bibliography{IEEEabrv,../bib/paper} +% +% \section{Simple References} +% You can manually copy in the resultant .bbl file and set second argument of $\backslash${\tt{begin}} to the number of references +% (used to reserve space for the reference number labels box). + + +\bibliographystyle{IEEEtran} +\bibliography{ref} +% \begin{thebibliography}{1} +% \bibliographystyle{IEEEtran} + +% \bibitem{ref1} +% {\it{Mathematics Into Type}}. American Mathematical Society. [Online]. Available: https://www.ams.org/arc/styleguide/mit-2.pdf + +% \bibitem{ref2} +% T. W. Chaundy, P. R. Barrett and C. Batey, {\it{The Printing of Mathematics}}. London, U.K., Oxford Univ. Press, 1954. + +% \bibitem{ref3} +% F. Mittelbach and M. Goossens, {\it{The \LaTeX Companion}}, 2nd ed. Boston, MA, USA: Pearson, 2004. + +% \bibitem{ref4} +% G. Gr\"atzer, {\it{More Math Into LaTeX}}, New York, NY, USA: Springer, 2007. + +% \bibitem{ref5}M. Letourneau and J. W. Sharp, {\it{AMS-StyleGuide-online.pdf,}} American Mathematical Society, Providence, RI, USA, [Online]. Available: http://www.ams.org/arc/styleguide/index.html + +% \bibitem{ref6} +% H. Sira-Ramirez, ``On the sliding mode control of nonlinear systems,'' \textit{Syst. Control Lett.}, vol. 19, pp. 303--312, 1992. + +% \bibitem{ref7} +% A. Levant, ``Exact differentiation of signals with unbounded higher derivatives,'' in \textit{Proc. 45th IEEE Conf. Decis. +% Control}, San Diego, CA, USA, 2006, pp. 5585--5590. DOI: 10.1109/CDC.2006.377165. + +% \bibitem{ref8} +% M. Fliess, C. Join, and H. Sira-Ramirez, ``Non-linear estimation is easy,'' \textit{Int. J. Model., Ident. Control}, vol. 4, no. 1, pp. 12--27, 2008. + +% \bibitem{ref9} +% R. Ortega, A. Astolfi, G. Bastin, and H. Rodriguez, ``Stabilization of food-chain systems using a port-controlled Hamiltonian description,'' in \textit{Proc. Amer. Control Conf.}, Chicago, IL, USA, +% 2000, pp. 2245--2249. + +% \end{thebibliography} + + +\newpage + +\section{Biography Section} +If you have an EPS/PDF photo (graphicx package needed), extra braces are + needed around the contents of the optional argument to biography to prevent + the LaTeX parser from getting confused when it sees the complicated + $\backslash${\tt{includegraphics}} command within an optional argument. (You can create + your own custom macro containing the $\backslash${\tt{includegraphics}} command to make things + simpler here.) + +\vspace{11pt} + +\bf{If you include a photo:}\vspace{-33pt} +\begin{IEEEbiography}[{\includegraphics[width=1in,height=1.25in,clip,keepaspectratio]{fig1}}]{Michael Shell} +Use $\backslash${\tt{begin\{IEEEbiography\}}} and then for the 1st argument use $\backslash${\tt{includegraphics}} to declare and link the author photo. +Use the author name as the 3rd argument followed by the biography text. +\end{IEEEbiography} + +\vspace{11pt} + +\bf{If you will not include a photo:}\vspace{-33pt} +\begin{IEEEbiographynophoto}{John Doe} +Use $\backslash${\tt{begin\{IEEEbiographynophoto\}}} and the author name as the argument followed by the biography text. +\end{IEEEbiographynophoto} + + + + +\vfill + +\end{document} + + diff --git a/main_copy.tex b/main_copy.tex new file mode 100644 index 0000000..534861a --- /dev/null +++ b/main_copy.tex @@ -0,0 +1,657 @@ +\documentclass[lettersize,journal]{IEEEtran} +\usepackage{amsmath,amsfonts} +\usepackage{algorithmic} +\usepackage{algorithm} +\usepackage{array} +\usepackage[caption=false,font=normalsize,labelfont=sf,textfont=sf]{subfig} +\usepackage{textcomp} +\usepackage{stfloats} +\usepackage{url} +\usepackage{verbatim} +\usepackage{graphicx} +\usepackage{cite} +\hyphenation{op-tical net-works semi-conduc-tor IEEE-Xplore} +% updated with editorial comments 8/9/2021 + +\begin{document} + +\title{Rethiking the anchor of lane detection } + +\author{IEEE Publication Technology,~\IEEEmembership{Staff,~IEEE,} + % <-this % stops a space +\thanks{This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.}% <-this % stops a space +\thanks{Manuscript received April 19, 2021; revised August 16, 2021.}} + +% The paper headers +\markboth{Journal of \LaTeX\ Class Files,~Vol.~14, No.~8, August~2021}% +{Shell \MakeLowercase{\textit{et al.}}: A Sample Article Using IEEEtran.cls for IEEE Journals} + +\IEEEpubid{0000--0000/00\$00.00~\copyright~2021 IEEE} +% Remember, if you use this you must call \IEEEpubidadjcol in the second +% column for its text to clear the IEEEpubid mark. + +\maketitle + +\begin{abstract} +This document describes the most common article elements and how to use the IEEEtran class with \LaTeX \ to produce files that are suitable for submission to the IEEE. IEEEtran can produce conference, journal, and technical note (correspondence) papers with a suitable choice of class options. Are there any possible in the united statse are there any possible +\end{abstract} + +\begin{IEEEkeywords} +Article submission, IEEE, IEEEtran, journal, \LaTeX, paper, template, typesetting. +\end{IEEEkeywords} + +\section{Introduction} +\IEEEPARstart{T}{his} file is intended to serve as a ``sample article file'' +for IEEE journal papers produced under \LaTeX\ using +IEEEtran.cls version 1.8b and later. The most common elements are covered in the simplified and updated instructions in ``New\_IEEEtran\_how-to.pdf''. For less common elements you can refer back to the original ``IEEEtran\_HOWTO.pdf''. It is assumed that the reader has a basic working knowledge of \LaTeX. Those who are new to \LaTeX \ are encouraged to read Tobias Oetiker's ``The Not So Short Introduction to \LaTeX ,'' available at: \url{http://tug.ctan.org/info/lshort/english/lshort.pdf} which provides an overview of working with \LaTeX. + +\section{The Design, Intent, and \\ Limitations of the Templates} +The templates are intended to {\bf{approximate the final look and page length of the articles/papers}}. {\bf{They are NOT intended to be the final produced work that is displayed in print or on IEEEXplore\textsuperscript{\textregistered}}}. They will help to give the authors an approximation of the number of pages that will be in the final version. The structure of the \LaTeX\ files, as designed, enable easy conversion to XML for the composition systems used by the IEEE. The XML files are used to produce the final print/IEEEXplore pdf and then converted to HTML for IEEEXplore. + +\section{Where to Get \LaTeX \ Help --- User Groups} +The following online groups are helpful to beginning and experienced \LaTeX\ users. A search through their archives can provide many answers to common questions. +\begin{list}{}{} +\item{\url{http://www.latex-community.org/}} +\item{\url{https://tex.stackexchange.com/} } +\end{list} + +\section{Other Resources} +See \cite{ref1,ref2,ref3,ref4,ref5} for resources on formatting math into text and additional help in working with \LaTeX . + +\section{Text} +For some of the remainer of this sample we will use dummy text to fill out paragraphs rather than use live text that may violate a copyright. + +Itam, que ipiti sum dem velit la sum et dionet quatibus apitet voloritet audam, qui aliciant voloreicid quaspe volorem ut maximusandit faccum conemporerum aut ellatur, nobis arcimus. +Fugit odi ut pliquia incitium latum que cusapere perit molupta eaquaeria quod ut optatem poreiur? Quiaerr ovitior suntiant litio bearciur? + +Onseque sequaes rectur autate minullore nusae nestiberum, sum voluptatio. Et ratem sequiam quaspername nos rem repudandae volum consequis nos eium aut as molupta tectum ulparumquam ut maximillesti consequas quas inctia cum volectinusa porrum unt eius cusaest exeritatur? Nias es enist fugit pa vollum reium essusam nist et pa aceaqui quo elibusdandis deligendus que nullaci lloreri bla que sa coreriam explacc atiumquos simolorpore, non prehendunt lam que occum\cite{ref6} si aut aut maximus eliaeruntia dia sequiamenime natem sendae ipidemp orehend uciisi omnienetus most verum, ommolendi omnimus, est, veni aut ipsa volendelist mo conserum volores estisciis recessi nveles ut poressitatur sitiis ex endi diti volum dolupta aut aut odi as eatquo cullabo remquis toreptum et des accus dolende pores sequas dolores tinust quas expel moditae ne sum quiatis nis endipie nihilis etum fugiae audi dia quiasit quibus. +\IEEEpubidadjcol +Ibus el et quatemo luptatque doluptaest et pe volent rem ipidusa eribus utem venimolorae dera qui acea quam etur aceruptat. +Gias anis doluptaspic tem et aliquis alique inctiuntiur? + +Sedigent, si aligend elibuscid ut et ium volo tem eictore pellore ritatus ut ut ullatus in con con pere nos ab ium di tem aliqui od magnit repta volectur suntio. Nam isquiante doluptis essit, ut eos suntionsecto debitiur sum ea ipitiis adipit, oditiore, a dolorerempos aut harum ius, atquat. + +Rum rem ditinti sciendunti volupiciendi sequiae nonsect oreniatur, volores sition ressimil inus solut ea volum harumqui to see\eqref{deqn_ex1a} mint aut quat eos explis ad quodi debis deliqui aspel earcius. + +\begin{equation} +\label{deqn_ex1a} +x = \sum_{i=0}^{n} 2{i} Q. +\end{equation} + +Alis nime volorempera perferi sitio denim repudae pre ducilit atatet volecte ssimillorae dolore, ut pel ipsa nonsequiam in re nus maiost et que dolor sunt eturita tibusanis eatent a aut et dio blaudit reptibu scipitem liquia consequodi od unto ipsae. Et enitia vel et experferum quiat harum sa net faccae dolut voloria nem. Bus ut labo. Ita eum repraer rovitia samendit aut et volupta tecupti busant omni quiae porro que nossimodic temquis anto blacita conse nis am, que ereperum eumquam quaescil imenisci quae magnimos recus ilibeaque cum etum iliate prae parumquatemo blaceaquiam quundia dit apienditem rerit re eici quaes eos sinvers pelecabo. Namendignis as exerupit aut magnim ium illabor roratecte plic tem res apiscipsam et vernat untur a deliquaest que non cus eat ea dolupiducim fugiam volum hil ius dolo eaquis sitis aut landesto quo corerest et auditaquas ditae voloribus, qui optaspis exero cusa am, ut plibus. + + +\section{Some Common Elements} +\subsection{Sections and Subsections} +Enumeration of section headings is desirable, but not required. When numbered, please be consistent throughout the article, that is, all headings and all levels of section headings in the article should be enumerated. Primary headings are designated with Roman numerals, secondary with capital letters, tertiary with Arabic numbers; and quaternary with lowercase letters. Reference and Acknowledgment headings are unlike all other section headings in text. They are never enumerated. They are simply primary headings without labels, regardless of whether the other headings in the article are enumerated. + +\subsection{Citations to the Bibliography} +The coding for the citations is made with the \LaTeX\ $\backslash${\tt{cite}} command. +This will display as: see \cite{ref1}. + +For multiple citations code as follows: {\tt{$\backslash$cite\{ref1,ref2,ref3\}}} + which will produce \cite{ref1,ref2,ref3}. For reference ranges that are not consecutive code as {\tt{$\backslash$cite\{ref1,ref2,ref3,ref9\}}} which will produce \cite{ref1,ref2,ref3,ref9} + +\subsection{Lists} +In this section, we will consider three types of lists: simple unnumbered, numbered, and bulleted. There have been many options added to IEEEtran to enhance the creation of lists. If your lists are more complex than those shown below, please refer to the original ``IEEEtran\_HOWTO.pdf'' for additional options.\\ + +\subsubsection*{\bf A plain unnumbered list} +\begin{list}{}{} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{list} + +\subsubsection*{\bf A simple numbered list} +\begin{enumerate} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{enumerate} + +\subsubsection*{\bf A simple bulleted list} +\begin{itemize} +\item{bare\_jrnl.tex} +\item{bare\_conf.tex} +\item{bare\_jrnl\_compsoc.tex} +\item{bare\_conf\_compsoc.tex} +\item{bare\_jrnl\_comsoc.tex} +\end{itemize} + + + + + +\subsection{Figures} +Fig. 1 is an example of a floating figure using the graphicx package. + Note that $\backslash${\tt{label}} must occur AFTER (or within) $\backslash${\tt{caption}}. + For figures, $\backslash${\tt{caption}} should occur after the $\backslash${\tt{includegraphics}}. + +\begin{figure}[!t] +\centering +\includegraphics[width=2.5in]{fig1} +\caption{Simulation results for the network.} +\label{fig_1} +\end{figure} + +Fig. 2(a) and 2(b) is an example of a double column floating figure using two subfigures. + (The subfig.sty package must be loaded for this to work.) + The subfigure $\backslash${\tt{label}} commands are set within each subfloat command, + and the $\backslash${\tt{label}} for the overall figure must come after $\backslash${\tt{caption}}. + $\backslash${\tt{hfil}} is used as a separator to get equal spacing. + The combined width of all the parts of the figure should do not exceed the text width or a line break will occur. +% +\begin{figure*}[!t] +\centering +\subfloat[]{\includegraphics[width=2.5in]{fig1}% +\label{fig_first_case}} +\hfil +\subfloat[]{\includegraphics[width=2.5in]{fig1}% +\label{fig_second_case}} +\caption{Dae. Ad quatur autat ut porepel itemoles dolor autem fuga. Bus quia con nessunti as remo di quatus non perum que nimus. (a) Case I. (b) Case II.} +\label{fig_sim} +\end{figure*} + +Note that often IEEE papers with multi-part figures do not place the labels within the image itself (using the optional argument to $\backslash${\tt{subfloat}}[]), but instead will + reference/describe all of them (a), (b), etc., within the main caption. + Be aware that for subfig.sty to generate the (a), (b), etc., subfigure + labels, the optional argument to $\backslash${\tt{subfloat}} must be present. If a + subcaption is not desired, leave its contents blank, + e.g.,$\backslash${\tt{subfloat}}[]. + + + + +\section{Tables} +Note that, for IEEE-style tables, the + $\backslash${\tt{caption}} command should come BEFORE the table. Table captions use title case. Articles (a, an, the), coordinating conjunctions (and, but, for, or, nor), and most short prepositions are lowercase unless they are the first or last word. Table text will default to $\backslash${\tt{footnotesize}} as + the IEEE normally uses this smaller font for tables. + The $\backslash${\tt{label}} must come after $\backslash${\tt{caption}} as always. + +\begin{table}[!t] +\caption{An Example of a Table\label{tab:table1}} +\centering +\begin{tabular}{|c||c|} +\hline +One & Two\\ +\hline +Three & Four\\ +\hline +\end{tabular} +\end{table} + + +\begin{table*}[h] + \centering + \caption{CULane Result compared with other methods} + \begin{tabular}{cccccccccccc} + \hline + \textbf{Method}& \textbf{Backbone}& \textbf{F1@50}$\uparrow$ & \textbf{Normal}$\uparrow$&\textbf{Crowded}$\uparrow$&\textbf{Dazzle}$\uparrow$&\textbf{Shadow}$\uparrow$&\textbf{No line}$\uparrow$& \textbf{Arrow}$\uparrow$& \textbf{Curve}$\uparrow$& \textbf{Cross}$\downarrow$ & \textbf{Night}$\uparrow$ \\ + \hline + \textbf{Segmentation Based} \\ + \cline{1-1} + SCNN &VGG-16&71.60&90.60&69.70&58.50&66.90&43.40&84.10&64.40&1900&66.10 \\ + RESA &ResNet50&75.3&92.10&73.10&69.20&72.80&47.70&83.30&70.30&1503&69.90 \\ + LaneAF &DLA34&77.41&91.80&75.61&71.78&79.12&51.38&86.88&72.70&1360&73.03 \\ + \cline{1-1} + \textbf{Parameter Based} \\ + \cline{1-1} + % LSTR &ResNet18&64.00&&&&&&& \\ + BezierLanenet &ResNet18&73.67&90.22&71.55&62.49&70.91&45.30&84.09&58.98&996&68.70\\ + BSNet &ResNet34&79.89&93.75&78.01&76.65&79.55&54.69&90.72&73.99& 1455&75.28\\ + % Eigenlanes &ResNet50&77.20&&&&&&&&&&&& \\ + % Laneformer &ResNet50&77.06&&&&&&&&&&& \\ + \cline{1-1} + \textbf{Anchor Based} \\ + \cline{1-1} + LaneATT &ResNet122&77.02&91.74&76.16&69.47&76.31&50.46&86.29&64.05&1264&70.81 \\ + ADNet &ResNet34&78.94&92.90&77.45&71.71&79.11&52.89&89.90&70.64&1499&74.78 \\ + % CLRNet &ResNet34&79.73&&&&&&&& \\ + CLRNet &ResNet101&80.13&93.85&78.78&72.49&82.33&54.50&89.79&75.57&1262&75.51 \\ + CLRNet &DLA34&80.47&93.73&79.59&75.30&82.51&54.58&90.62&74.13&1155&75.37 \\ + \hline + PlorRCNN (ours) &ResNet18&80.81&94.11&79.62&75.65&82.43&54.41&90.49&77.02&975&75.59\\ + PlorRCNN-NMS-free (ours) &ResNet18&80.37&93.81&79.07&74.73&81.40&53.73&89.91&75.64&\textbf{941}&75.41\\ + PlorRCNN (ours) &ResNet34&80.95&\textbf{94.33}&79.68&\textbf{75.87}&82.89&55.69&\textbf{90.90}&78.40&1182&75.84\\ + PlorRCNN (ours) &ResNet50&\textbf{81.23}&94.32&\textbf{80.22}&75.04&\textbf{83.40}&\textbf{56.25}&90.41&\textbf{78.94}&1271&\textbf{76.16}\\ + \hline + \end{tabular} + + \label{tab:my_table} +\end{table*} + +\section{Algorithms} +Algorithms should be numbered and include a short title. They are set off from the text with rules above and below the title and after the last line. + +\begin{algorithm}[H] +\caption{Weighted Tanimoto ELM.}\label{alg:alg1} +\begin{algorithmic} +\STATE +\STATE {\textsc{TRAIN}}$(\mathbf{X} \mathbf{T})$ +\STATE \hspace{0.5cm}$ \textbf{select randomly } W \subset \mathbf{X} $ +\STATE \hspace{0.5cm}$ N_\mathbf{t} \gets | \{ i : \mathbf{t}_i = \mathbf{t} \} | $ \textbf{ for } $ \mathbf{t}= -1,+1 $ +\STATE \hspace{0.5cm}$ B_i \gets \sqrt{ \textsc{max}(N_{-1},N_{+1}) / N_{\mathbf{t}_i} } $ \textbf{ for } $ i = 1,...,N $ +\STATE \hspace{0.5cm}$ \hat{\mathbf{H}} \gets B \cdot (\mathbf{X}^T\textbf{W})/( \mathbb{1}\mathbf{X} + \mathbb{1}\textbf{W} - \mathbf{X}^T\textbf{W} ) $ +\STATE \hspace{0.5cm}$ \beta \gets \left ( I/C + \hat{\mathbf{H}}^T\hat{\mathbf{H}} \right )^{-1}(\hat{\mathbf{H}}^T B\cdot \mathbf{T}) $ +\STATE \hspace{0.5cm}\textbf{return} $\textbf{W}, \beta $ +\STATE +\STATE {\textsc{PREDICT}}$(\mathbf{X} )$ +\STATE \hspace{0.5cm}$ \mathbf{H} \gets (\mathbf{X}^T\textbf{W} )/( \mathbb{1}\mathbf{X} + \mathbb{1}\textbf{W}- \mathbf{X}^T\textbf{W} ) $ +\STATE \hspace{0.5cm}\textbf{return} $\textsc{sign}( \mathbf{H} \beta )$ +\end{algorithmic} +\label{alg1} +\end{algorithm} + +Que sunt eum lam eos si dic to estist, culluptium quid qui nestrum nobis reiumquiatur minimus minctem. Ro moluptat fuga. Itatquiam ut laborpo rersped exceres vollandi repudaerem. Ulparci sunt, qui doluptaquis sumquia ndestiu sapient iorepella sunti veribus. Ro moluptat fuga. Itatquiam ut laborpo rersped exceres vollandi repudaerem. +\section{Mathematical Typography \\ and Why It Matters} + +Typographical conventions for mathematical formulas have been developed to {\bf provide uniformity and clarity of presentation across mathematical texts}. This enables the readers of those texts to both understand the author's ideas and to grasp new concepts quickly. While software such as \LaTeX \ and MathType\textsuperscript{\textregistered} can produce aesthetically pleasing math when used properly, it is also very easy to misuse the software, potentially resulting in incorrect math display. + +IEEE aims to provide authors with the proper guidance on mathematical typesetting style and assist them in writing the best possible article. As such, IEEE has assembled a set of examples of good and bad mathematical typesetting \cite{ref1,ref2,ref3,ref4,ref5}. + +Further examples can be found at \url{http://journals.ieeeauthorcenter.ieee.org/wp-content/uploads/sites/7/IEEE-Math-Typesetting-Guide-for-LaTeX-Users.pdf} + +\subsection{Display Equations} +The simple display equation example shown below uses the ``equation'' environment. To number the equations, use the $\backslash${\tt{label}} macro to create an identifier for the equation. LaTeX will automatically number the equation for you. +\begin{equation} +\label{deqn_ex1} +x = \sum_{i=0}^{n} 2{i} Q. +\end{equation} + +\noindent is coded as follows: +\begin{verbatim} +\begin{equation} +\label{deqn_ex1} +x = \sum_{i=0}^{n} 2{i} Q. +\end{equation} +\end{verbatim} + +To reference this equation in the text use the $\backslash${\tt{ref}} macro. +Please see (\ref{deqn_ex1})\\ +\noindent is coded as follows: +\begin{verbatim} +Please see (\ref{deqn_ex1})\end{verbatim} + +\subsection{Equation Numbering} +{\bf{Consecutive Numbering:}} Equations within an article are numbered consecutively from the beginning of the +article to the end, i.e., (1), (2), (3), (4), (5), etc. Do not use roman numerals or section numbers for equation numbering. + +\noindent {\bf{Appendix Equations:}} The continuation of consecutively numbered equations is best in the Appendix, but numbering + as (A1), (A2), etc., is permissible.\\ + +\noindent {\bf{Hyphens and Periods}}: Hyphens and periods should not be used in equation numbers, i.e., use (1a) rather than +(1-a) and (2a) rather than (2.a) for subequations. This should be consistent throughout the article. + +\subsection{Multi-Line Equations and Alignment} +Here we show several examples of multi-line equations and proper alignments. + +\noindent {\bf{A single equation that must break over multiple lines due to length with no specific alignment.}} +\begin{multline} +\text{The first line of this example}\\ +\text{The second line of this example}\\ +\text{The third line of this example} +\end{multline} + +\noindent is coded as: +\begin{verbatim} +\begin{multline} +\text{The first line of this example}\\ +\text{The second line of this example}\\ +\text{The third line of this example} +\end{multline} +\end{verbatim} + +\noindent {\bf{A single equation with multiple lines aligned at the = signs}} +\begin{align} +a &= c+d \\ +b &= e+f +\end{align} +\noindent is coded as: +\begin{verbatim} +\begin{align} +a &= c+d \\ +b &= e+f +\end{align} +\end{verbatim} + +The {\tt{align}} environment can align on multiple points as shown in the following example: +\begin{align} +x &= y & X & =Y & a &=bc\\ +x' &= y' & X' &=Y' &a' &=bz +\end{align} +\noindent is coded as: +\begin{verbatim} +\begin{align} +x &= y & X & =Y & a &=bc\\ +x' &= y' & X' &=Y' &a' &=bz +\end{align} +\end{verbatim} + + + + + +\subsection{Subnumbering} +The amsmath package provides a {\tt{subequations}} environment to facilitate subnumbering. An example: + +\begin{subequations}\label{eq:2} +\begin{align} +f&=g \label{eq:2A}\\ +f' &=g' \label{eq:2B}\\ +\mathcal{L}f &= \mathcal{L}g \label{eq:2c} +\end{align} +\end{subequations} + +\noindent is coded as: +\begin{verbatim} +\begin{subequations}\label{eq:2} +\begin{align} +f&=g \label{eq:2A}\\ +f' &=g' \label{eq:2B}\\ +\mathcal{L}f &= \mathcal{L}g \label{eq:2c} +\end{align} +\end{subequations} + +\end{verbatim} + +\subsection{Matrices} +There are several useful matrix environments that can save you some keystrokes. See the example coding below and the output. + +\noindent {\bf{A simple matrix:}} +\begin{equation} +\begin{matrix} 0 & 1 \\ +1 & 0 \end{matrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{matrix} 0 & 1 \\ +1 & 0 \end{matrix} +\end{equation} +\end{verbatim} + +\noindent {\bf{A matrix with parenthesis}} +\begin{equation} +\begin{pmatrix} 0 & -i \\ + i & 0 \end{pmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{pmatrix} 0 & -i \\ + i & 0 \end{pmatrix} +\end{equation} +\end{verbatim} + +\noindent {\bf{A matrix with square brackets}} +\begin{equation} +\begin{bmatrix} 0 & -1 \\ +1 & 0 \end{bmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{bmatrix} 0 & -1 \\ +1 & 0 \end{bmatrix} +\end{equation} +\end{verbatim} + +\noindent {\bf{A matrix with curly braces}} +\begin{equation} +\begin{Bmatrix} 1 & 0 \\ +0 & -1 \end{Bmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{Bmatrix} 1 & 0 \\ +0 & -1 \end{Bmatrix} +\end{equation}\end{verbatim} + +\noindent {\bf{A matrix with single verticals}} +\begin{equation} +\begin{vmatrix} a & b \\ +c & d \end{vmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{vmatrix} a & b \\ +c & d \end{vmatrix} +\end{equation}\end{verbatim} + +\noindent {\bf{A matrix with double verticals}} +\begin{equation} +\begin{Vmatrix} i & 0 \\ +0 & -i \end{Vmatrix} +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\begin{Vmatrix} i & 0 \\ +0 & -i \end{Vmatrix} +\end{equation}\end{verbatim} + +\subsection{Arrays} +The {\tt{array}} environment allows you some options for matrix-like equations. You will have to manually key the fences, but there are other options for alignment of the columns and for setting horizontal and vertical rules. The argument to {\tt{array}} controls alignment and placement of vertical rules. + +A simple array +\begin{equation} +\left( +\begin{array}{cccc} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array}\right) +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\left( +\begin{array}{cccc} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array} \right) +\end{equation} +\end{verbatim} + +A slight variation on this to better align the numbers in the last column +\begin{equation} +\left( +\begin{array}{cccr} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array}\right) +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\left( +\begin{array}{cccr} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array} \right) +\end{equation} +\end{verbatim} + +An array with vertical and horizontal rules +\begin{equation} +\left( \begin{array}{c|c|c|r} +a+b+c & uv & x-y & 27\\ \hline +a+b & u+v & z & 134 +\end{array}\right) +\end{equation} +is coded as: +\begin{verbatim} +\begin{equation} +\left( +\begin{array}{c|c|c|r} +a+b+c & uv & x-y & 27\\ +a+b & u+v & z & 134 +\end{array} \right) +\end{equation} +\end{verbatim} +Note the argument now has the pipe "$\vert$" included to indicate the placement of the vertical rules. + + +\subsection{Cases Structures} +Many times cases can be miscoded using the wrong environment, i.e., {\tt{array}}. Using the {\tt{cases}} environment will save keystrokes (from not having to type the $\backslash${\tt{left}}$\backslash${\tt{lbrace}}) and automatically provide the correct column alignment. +\begin{equation*} +{z_m(t)} = \begin{cases} +1,&{\text{if}}\ {\beta }_m(t) \\ +{0,}&{\text{otherwise.}} +\end{cases} +\end{equation*} +\noindent is coded as follows: +\begin{verbatim} +\begin{equation*} +{z_m(t)} = +\begin{cases} +1,&{\text{if}}\ {\beta }_m(t),\\ +{0,}&{\text{otherwise.}} +\end{cases} +\end{equation*} +\end{verbatim} +\noindent Note that the ``\&'' is used to mark the tabular alignment. This is important to get proper column alignment. Do not use $\backslash${\tt{quad}} or other fixed spaces to try and align the columns. Also, note the use of the $\backslash${\tt{text}} macro for text elements such as ``if'' and ``otherwise.'' + +\subsection{Function Formatting in Equations} +Often, there is an easy way to properly format most common functions. Use of the $\backslash$ in front of the function name will in most cases, provide the correct formatting. When this does not work, the following example provides a solution using the $\backslash${\tt{text}} macro: + +\begin{equation*} + d_{R}^{KM} = \underset {d_{l}^{KM}} {\text{arg min}} \{ d_{1}^{KM},\ldots,d_{6}^{KM}\}. +\end{equation*} + +\noindent is coded as follows: +\begin{verbatim} +\begin{equation*} + d_{R}^{KM} = \underset {d_{l}^{KM}} + {\text{arg min}} \{ d_{1}^{KM}, + \ldots,d_{6}^{KM}\}. +\end{equation*} +\end{verbatim} + +\subsection{ Text Acronyms Inside Equations} +This example shows where the acronym ``MSE" is coded using $\backslash${\tt{text\{\}}} to match how it appears in the text. + +\begin{equation*} + \text{MSE} = \frac {1}{n}\sum _{i=1}^{n}(Y_{i} - \hat {Y_{i}})^{2} +\end{equation*} + +\begin{verbatim} +\begin{equation*} + \text{MSE} = \frac {1}{n}\sum _{i=1}^{n} +(Y_{i} - \hat {Y_{i}})^{2} +\end{equation*} +\end{verbatim} + +\section{Conclusion} +The conclusion goes here. + + +\section*{Acknowledgments} +This should be a simple paragraph before the References to thank those individuals and institutions who have supported your work on this article. + + + +{\appendix[Proof of the Zonklar Equations] +Use $\backslash${\tt{appendix}} if you have a single appendix: +Do not use $\backslash${\tt{section}} anymore after $\backslash${\tt{appendix}}, only $\backslash${\tt{section*}}. +If you have multiple appendixes use $\backslash${\tt{appendices}} then use $\backslash${\tt{section}} to start each appendix. +You must declare a $\backslash${\tt{section}} before using any $\backslash${\tt{subsection}} or using $\backslash${\tt{label}} ($\backslash${\tt{appendices}} by itself + starts a section numbered zero.)} + + + +%{\appendices +%\section*{Proof of the First Zonklar Equation} +%Appendix one text goes here. +% You can choose not to have a title for an appendix if you want by leaving the argument blank +%\section*{Proof of the Second Zonklar Equation} +%Appendix two text goes here.} + + + +\section{References Section} +You can use a bibliography generated by BibTeX as a .bbl file. + BibTeX documentation can be easily obtained at: + http://mirror.ctan.org/biblio/bibtex/contrib/doc/ + The IEEEtran BibTeX style support page is: + http://www.michaelshell.org/tex/ieeetran/bibtex/ + + % argument is your BibTeX string definitions and bibliography database(s) +%\bibliography{IEEEabrv,../bib/paper} +% +\section{Simple References} +You can manually copy in the resultant .bbl file and set second argument of $\backslash${\tt{begin}} to the number of references + (used to reserve space for the reference number labels box). + +\begin{thebibliography}{1} +\bibliographystyle{IEEEtran} + +\bibitem{ref1} +{\it{Mathematics Into Type}}. American Mathematical Society. [Online]. Available: https://www.ams.org/arc/styleguide/mit-2.pdf + +\bibitem{ref2} +T. W. Chaundy, P. R. Barrett and C. Batey, {\it{The Printing of Mathematics}}. London, U.K., Oxford Univ. Press, 1954. + +\bibitem{ref3} +F. Mittelbach and M. Goossens, {\it{The \LaTeX Companion}}, 2nd ed. Boston, MA, USA: Pearson, 2004. + +\bibitem{ref4} +G. Gr\"atzer, {\it{More Math Into LaTeX}}, New York, NY, USA: Springer, 2007. + +\bibitem{ref5}M. Letourneau and J. W. Sharp, {\it{AMS-StyleGuide-online.pdf,}} American Mathematical Society, Providence, RI, USA, [Online]. Available: http://www.ams.org/arc/styleguide/index.html + +\bibitem{ref6} +H. Sira-Ramirez, ``On the sliding mode control of nonlinear systems,'' \textit{Syst. Control Lett.}, vol. 19, pp. 303--312, 1992. + +\bibitem{ref7} +A. Levant, ``Exact differentiation of signals with unbounded higher derivatives,'' in \textit{Proc. 45th IEEE Conf. Decis. +Control}, San Diego, CA, USA, 2006, pp. 5585--5590. DOI: 10.1109/CDC.2006.377165. + +\bibitem{ref8} +M. Fliess, C. Join, and H. Sira-Ramirez, ``Non-linear estimation is easy,'' \textit{Int. J. Model., Ident. Control}, vol. 4, no. 1, pp. 12--27, 2008. + +\bibitem{ref9} +R. Ortega, A. Astolfi, G. Bastin, and H. Rodriguez, ``Stabilization of food-chain systems using a port-controlled Hamiltonian description,'' in \textit{Proc. Amer. Control Conf.}, Chicago, IL, USA, +2000, pp. 2245--2249. + +\end{thebibliography} + + +\newpage + +\section{Biography Section} +If you have an EPS/PDF photo (graphicx package needed), extra braces are + needed around the contents of the optional argument to biography to prevent + the LaTeX parser from getting confused when it sees the complicated + $\backslash${\tt{includegraphics}} command within an optional argument. (You can create + your own custom macro containing the $\backslash${\tt{includegraphics}} command to make things + simpler here.) + +\vspace{11pt} + +\bf{If you include a photo:}\vspace{-33pt} +\begin{IEEEbiography}[{\includegraphics[width=1in,height=1.25in,clip,keepaspectratio]{fig1}}]{Michael Shell} +Use $\backslash${\tt{begin\{IEEEbiography\}}} and then for the 1st argument use $\backslash${\tt{includegraphics}} to declare and link the author photo. +Use the author name as the 3rd argument followed by the biography text. +\end{IEEEbiography} + +\vspace{11pt} + +\bf{If you will not include a photo:}\vspace{-33pt} +\begin{IEEEbiographynophoto}{John Doe} +Use $\backslash${\tt{begin\{IEEEbiographynophoto\}}} and the author name as the argument followed by the biography text. +\end{IEEEbiographynophoto} + + + + +\vfill + +\end{document} + + diff --git a/make.sh b/make.sh new file mode 100644 index 0000000..7a0a483 --- /dev/null +++ b/make.sh @@ -0,0 +1,6 @@ +# latexmk -c +# latexmk -pvc -xelatex -interaction=nonstopmode main.tex +latexmk -quiet -interaction=nonstopmode --pvc -pdf main.tex + + + diff --git a/pdflatex8700.fls b/pdflatex8700.fls new file mode 100644 index 0000000..d4e41a4 --- /dev/null +++ b/pdflatex8700.fls @@ -0,0 +1,4 @@ +PWD /home/haoru/repo/plor_rcnn_thesis +INPUT /usr/local/texlive/2023/texmf.cnf +INPUT /usr/local/texlive/2023/texmf-dist/web2c/texmf.cnf +INPUT /usr/local/texlive/2023/texmf-var/web2c/pdftex/pdflatex.fmt diff --git a/ref.bib b/ref.bib new file mode 100644 index 0000000..063dc2f --- /dev/null +++ b/ref.bib @@ -0,0 +1,29 @@ +@article{houghtransform, + title={A survey of the Hough transform}, + author={Illingworth, John and Kittler, Josef}, + journal={Computer vision, graphics, and image processing}, + volume={44}, + number={1}, + pages={87--116}, + year={1988}, + publisher={Elsevier} +} + +@article{canny1986computational, + title={A computational approach to edge detection}, + author={Canny, John}, + journal={IEEE Transactions on pattern analysis and machine intelligence}, + number={6}, + pages={679--698}, + year={1986}, + publisher={IEEE} +} + +@inproceedings{kluge1995deformable, + title={A deformable-template approach to lane detection}, + author={Kluge, Karl and Lakshmanan, Sridhar}, + booktitle={Proceedings of the Intelligent Vehicles' 95. Symposium}, + pages={54--59}, + year={1995}, + organization={IEEE} +} \ No newline at end of file diff --git a/thsis_figure/GLaneIoU.png b/thsis_figure/GLaneIoU.png new file mode 100644 index 0000000..c86ad10 Binary files /dev/null and b/thsis_figure/GLaneIoU.png differ diff --git a/thsis_figure/anchor_demo/anchor_fix_init.jpg b/thsis_figure/anchor_demo/anchor_fix_init.jpg new file mode 100644 index 0000000..87a9499 Binary files /dev/null and b/thsis_figure/anchor_demo/anchor_fix_init.jpg differ diff --git a/thsis_figure/anchor_demo/anchor_fix_learned.jpg b/thsis_figure/anchor_demo/anchor_fix_learned.jpg new file mode 100644 index 0000000..38a19df Binary files /dev/null and b/thsis_figure/anchor_demo/anchor_fix_learned.jpg differ diff --git a/thsis_figure/anchor_demo/anchor_proposal.jpg b/thsis_figure/anchor_demo/anchor_proposal.jpg new file mode 100644 index 0000000..7dd6496 Binary files /dev/null and b/thsis_figure/anchor_demo/anchor_proposal.jpg differ diff --git a/thsis_figure/anchor_demo/gt.jpg b/thsis_figure/anchor_demo/gt.jpg new file mode 100644 index 0000000..d866f79 Binary files /dev/null and b/thsis_figure/anchor_demo/gt.jpg differ diff --git a/thsis_figure/anchor_num_method.png b/thsis_figure/anchor_num_method.png new file mode 100644 index 0000000..ab76f89 Binary files /dev/null and b/thsis_figure/anchor_num_method.png differ diff --git a/thsis_figure/anchor_num_method.py b/thsis_figure/anchor_num_method.py new file mode 100644 index 0000000..e0aa103 --- /dev/null +++ b/thsis_figure/anchor_num_method.py @@ -0,0 +1,50 @@ +import matplotlib.pyplot as plt +import matplotlib as mpl + +# 设置全局字体为 Times New Roman +mpl.rcParams['font.family'] = 'Times New Roman' +mpl.rcParams['font.serif'] = ['Times New Roman'] +mpl.rcParams['axes.titlesize'] = 14 +mpl.rcParams['axes.labelsize'] = 12 +mpl.rcParams['xtick.labelsize'] = 12 +mpl.rcParams['ytick.labelsize'] = 12 +mpl.rcParams['legend.fontsize'] = 12 + +# 定义数据 +data = { + 'LaneATT (2021)': {'x': [1000, 1000, 1000], 'y': [75.09, 76.68, 77.02], 'sizes': [40*2.5, 80*2.5, 180*2.5], 'color': 'magenta', 'marker': 'H'}, + 'CLRNet (2022)': {'x': [192, 192, 192, 192], 'y': [79.58, 79.73, 80.13, 80.47], 'sizes': [20*2.5, 40*2.5, 80*2.5, 180*2.5], 'color': 'orange', 'marker': 'p'}, + 'CLRerNet (2023)': {'x': [192, 192, 192], 'y': [80.76, 80.91, 81.12], 'sizes': [40*2.5, 80*2.5, 180*2.5], 'color': 'orangered', 'marker': 'p'}, + 'ADNet (2023)': {'x': [64, 64], 'y': [77.56, 78.94], 'sizes': [80*2.5, 180*2.5], 'color': 'green', 'marker': 'v'}, + 'SRLane (2024)': {'x': [40], 'y': [79.73], 'sizes': [180*2.5], 'color': 'red', 'marker': '*'}, + 'Sparse Laneformer (2024)': {'x': [20, 20, 20], 'y': [76.55, 77.77, 77.83], 'sizes': [40*2.5, 80*2.5, 180*2.5], 'color': 'purple', 'marker': '^'}, + 'PolarRCNN (Ours)': {'x': [20, 20, 20, 20], 'y': [80.81, 80.92, 81.34, 81.49], 'sizes': [20*2.5, 40*2.5, 80*2.5, 180*2.5], 'color': 'blue', 'marker': 'o'}, + } + +# 定义统一的标记大小 +legend_marker_size = 100 + +# 绘制数据点 +for label, props in data.items(): + plt.scatter( + props['x'], props['y'], + s=props['sizes'], + alpha=0.5, + c=props['color'], + marker=props['marker'], + edgecolors='w', + linewidth=0.5, + label=label + ) + +# 设置标题和标签 +plt.grid(True, linestyle='-', alpha=0.5) +plt.xlabel('Anchor Number') +plt.ylabel('F1-score') + +# 添加图例，并调整图例中的标记大小 +legend = plt.legend(loc="best") +for handle in legend.legend_handles: + handle._sizes = [legend_marker_size] +plt.savefig('anchor_num_method.png', dpi=300) +plt.show() \ No newline at end of file diff --git a/thsis_figure/anchor_num_testing.png b/thsis_figure/anchor_num_testing.png new file mode 100644 index 0000000..fa2a9c9 Binary files /dev/null and b/thsis_figure/anchor_num_testing.png differ diff --git a/thsis_figure/anchor_num_testing.py b/thsis_figure/anchor_num_testing.py new file mode 100644 index 0000000..0fdafa8 --- /dev/null +++ b/thsis_figure/anchor_num_testing.py @@ -0,0 +1,44 @@ +import matplotlib.pyplot as plt +import matplotlib as mpl + +# 设置全局字体为 Times New Roman +mpl.rcParams['font.family'] = 'Times New Roman' +mpl.rcParams['font.serif'] = ['Times New Roman'] +mpl.rcParams['axes.titlesize'] = 14 +mpl.rcParams['axes.labelsize'] = 12 +mpl.rcParams['xtick.labelsize'] = 12 +mpl.rcParams['ytick.labelsize'] = 12 +mpl.rcParams['legend.fontsize'] = 12 + +alpha = 0.7 + +# 2*7 +x_2x7 = [10, 14] +y_2x7 = [80.075, 80.083] +plt.plot(x_2x7, y_2x7, 'o-', color='blue', alpha=alpha, label="2*7") + +# 2*10 +x_2x10 = [10, 15, 20] +y_2x10 = [80.549, 80.585, 80.59] +plt.plot(x_2x10, y_2x10, 's-', color='green', alpha=alpha, label="2*10") + +# 4*10 +x_4x10 = [10, 15, 20, 25, 30, 35, 40] +y_4x10 = [80.3, 80.824, 80.805, 80.799, 80.798, 80.796, 80.794] +plt.plot(x_4x10, y_4x10, 'd-', color='red', alpha=alpha, label="4*10") + +# 5*12 +x_5x12 = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] +y_5x12 = [79.742, 80.809, 80.9, 80.924, 80.919, 80.92, 80.921, 80.924, 80.923, 80.923, 80.924] +plt.plot(x_5x12, y_5x12, 'v-', color='purple', alpha=alpha, label="5*12") + +# 6*18 +x_6x13 = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 78] +y_6x13 = [78.576, 80.53, 80.907, 80.953, 80.955, 80.958, 80.956, 80.958, 80.963, 80.965, 80.962, 80.962, 80.962, 80.962] +plt.plot(x_6x13, y_6x13, 'p-', color='orange', alpha=alpha, label="6*13") + +plt.xlabel("Anchor Number") # 横坐标名字 +plt.ylabel("F1-Score") # 纵坐标名字 +plt.legend(loc="best", title="Polarmap Size") # 图例标题 +plt.savefig('anchor_num_testing.png', dpi=300) +plt.show() \ No newline at end of file diff --git a/thsis_figure/anchor_num_testing_p.png b/thsis_figure/anchor_num_testing_p.png new file mode 100644 index 0000000..d3c9560 Binary files /dev/null and b/thsis_figure/anchor_num_testing_p.png differ diff --git a/thsis_figure/anchor_num_testing_p.py b/thsis_figure/anchor_num_testing_p.py new file mode 100644 index 0000000..f0827a5 --- /dev/null +++ b/thsis_figure/anchor_num_testing_p.py @@ -0,0 +1,48 @@ +import matplotlib.pyplot as plt +import matplotlib as mpl + + +import matplotlib.pyplot as plt +import matplotlib as mpl + +# 设置全局字体为 Times New Roman +mpl.rcParams['font.family'] = 'Times New Roman' +mpl.rcParams['font.serif'] = ['Times New Roman'] +mpl.rcParams['axes.titlesize'] = 14 +mpl.rcParams['axes.labelsize'] = 12 +mpl.rcParams['xtick.labelsize'] = 12 +mpl.rcParams['ytick.labelsize'] = 12 +mpl.rcParams['legend.fontsize'] = 12 + +alpha = 0.7 + +# 2*7 +x_2x7 = [10, 14] +y_2x7 = [87.343, 85.597] +plt.plot(x_2x7, y_2x7, 'o-', color='blue', alpha=alpha, label="2*7") + +# 2*10 +x_2x10 = [10, 15, 20] +y_2x10 = [88.174, 88.044, 88.036] +plt.plot(x_2x10, y_2x10, 's-', color='green', alpha=alpha, label="2*10") + +# 4*10 +x_4x10 = [10, 15, 20, 25, 30, 35, 40] +y_4x10 = [89.599, 88.822, 88.516, 88.428, 88.390, 88.379, 88.376] +plt.plot(x_4x10, y_4x10, 'd-', color='red', alpha=alpha, label="4*10") + +# 5*12 +x_5x12 = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] +y_5x12 = [89.968, 89.221, 88.893, 88.805, 88.757, 88.740, 88.735, 88.733, 88.729, 88.728, 88.729] +plt.plot(x_5x12, y_5x12, 'v-', color='purple', alpha=alpha, label="5*12") + +# 6*18 +x_6x13 = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 78] +y_6x13 = [90.845, 89.979, 89.492, 89.237, 89.101, 89.055, 89.018, 88.999, 88.996, 88.992, 88.983, 88.982, 88.982, 88.982] +plt.plot(x_6x13, y_6x13, 'p-', color='orange', alpha=alpha, label="6*13") + +plt.xlabel("Anchor Number") # 横坐标名字 +plt.ylabel("Precision") # 纵坐标名字 +plt.legend(loc="best", title="Polarmap Size") # 图例标题 +plt.savefig('anchor_num_testing_p.png', dpi=300) +plt.show() \ No newline at end of file diff --git a/thsis_figure/anchor_num_testing_r.png b/thsis_figure/anchor_num_testing_r.png new file mode 100644 index 0000000..dddb51c Binary files /dev/null and b/thsis_figure/anchor_num_testing_r.png differ diff --git a/thsis_figure/anchor_num_testing_r.py b/thsis_figure/anchor_num_testing_r.py new file mode 100644 index 0000000..5c3aa63 --- /dev/null +++ b/thsis_figure/anchor_num_testing_r.py @@ -0,0 +1,45 @@ +import matplotlib.pyplot as plt +import matplotlib as mpl + +# 设置全局字体为 Times New Roman +mpl.rcParams['font.family'] = 'Times New Roman' +mpl.rcParams['font.serif'] = ['Times New Roman'] +mpl.rcParams['axes.titlesize'] = 14 +mpl.rcParams['axes.labelsize'] = 12 +mpl.rcParams['xtick.labelsize'] = 12 +mpl.rcParams['ytick.labelsize'] = 12 +mpl.rcParams['legend.fontsize'] = 12 + +alpha = 0.7 + +# 2*7 +x_2x7 = [10, 14] +y_2x7 = [73.924, 74.002] +plt.plot(x_2x7, y_2x7, 'o-', color='blue', alpha=alpha, label="2*7") + +# 2*10 +x_2x10 = [10, 15, 20] +y_2x10 = [74.138, 74.290, 74.305] +plt.plot(x_2x10, y_2x10, 's-', color='green', alpha=alpha, label="2*10") + +# 4*10 +x_4x10 = [10, 15, 20, 25, 30, 35, 40] +y_4x10 = [72.750, 74.147, 74.330, 74.381, 74.406, 74.411, 74.410] +plt.plot(x_4x10, y_4x10, 'd-', color='red', alpha=alpha, label="4*10") + +# 5*12 +x_5x12 = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] +y_5x12 = [71.603, 73.847, 74.226, 74.327, 74.353, 74.366, 74.371, 74.378, 74.380, 74.380, 74.382] +plt.plot(x_5x12, y_5x12, 'v-', color='purple', alpha=alpha, label="5*12") + +# 6*18 +x_6x13 = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 78] +y_6x13 = [69.227, 72.876, 73.825, 74.077, 74.174, 74.210, 74.232, 74.249, 74.260, 74.265, 74.267, 74.267, 74.267, 74.268] +plt.plot(x_6x13, y_6x13, 'p-', color='orange', alpha=alpha, label="6*13") + +plt.xlabel("Anchor Number") # 横坐标名字 +plt.ylabel("F1-Score") # 纵坐标名字 +plt.legend(loc="best", title="Polarmap Size") # 图例标题 +plt.savefig('anchor_num_testing_r.png', dpi=300) +plt.show() + diff --git a/thsis_figure/coord/localpolar.png b/thsis_figure/coord/localpolar.png new file mode 100644 index 0000000..82ca5fb Binary files /dev/null and b/thsis_figure/coord/localpolar.png differ diff --git a/thsis_figure/coord/polar.png b/thsis_figure/coord/polar.png new file mode 100644 index 0000000..c184451 Binary files /dev/null and b/thsis_figure/coord/polar.png differ diff --git a/thsis_figure/coord/ray.png b/thsis_figure/coord/ray.png new file mode 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