upate
BIN
thesis_figure/GLaneIoU.png
Normal file
After Width: | Height: | Size: 1.7 MiB |
BIN
thesis_figure/anchor_demo/anchor_fix_init.jpg
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After Width: | Height: | Size: 865 KiB |
BIN
thesis_figure/anchor_demo/anchor_fix_learned.jpg
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After Width: | Height: | Size: 713 KiB |
BIN
thesis_figure/anchor_demo/anchor_proposal.jpg
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After Width: | Height: | Size: 282 KiB |
BIN
thesis_figure/anchor_demo/gt.jpg
Normal file
After Width: | Height: | Size: 192 KiB |
BIN
thesis_figure/anchor_num/anchor_num_testing.png
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After Width: | Height: | Size: 244 KiB |
47
thesis_figure/anchor_num/anchor_num_testing.py
Normal file
@ -0,0 +1,47 @@
|
||||
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'] = 18
|
||||
mpl.rcParams['axes.labelsize'] = 30
|
||||
mpl.rcParams['xtick.labelsize'] = 22
|
||||
mpl.rcParams['ytick.labelsize'] = 22
|
||||
mpl.rcParams['legend.fontsize'] = 22
|
||||
|
||||
alpha = 0.7
|
||||
plt.figure(figsize=(8.5, 8))
|
||||
|
||||
# 2*7
|
||||
x_2x7 = [10, 14]
|
||||
y_2x7 = [80.075, 80.083]
|
||||
plt.plot(x_2x7, y_2x7, 'o-', color='blue', alpha=alpha, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, label="6*13")
|
||||
|
||||
|
||||
plt.grid(True, linestyle='-', alpha=0.5)
|
||||
plt.xlabel("Anchor Number") # 横坐标名字
|
||||
plt.ylabel("F1-Score") # 纵坐标名字
|
||||
plt.legend(loc="lower right", title="Polarmap Size", title_fontsize=mpl.rcParams['legend.fontsize']) # 图例标题
|
||||
plt.savefig('anchor_num_testing.png', dpi=300)
|
||||
plt.show()
|
BIN
thesis_figure/anchor_num/anchor_num_testing_p.png
Normal file
After Width: | Height: | Size: 247 KiB |
50
thesis_figure/anchor_num/anchor_num_testing_p.py
Normal file
@ -0,0 +1,50 @@
|
||||
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'] = 18
|
||||
mpl.rcParams['axes.labelsize'] = 30
|
||||
mpl.rcParams['xtick.labelsize'] = 22
|
||||
mpl.rcParams['ytick.labelsize'] = 22
|
||||
mpl.rcParams['legend.fontsize'] = 22
|
||||
|
||||
alpha = 0.7
|
||||
plt.figure(figsize=(8.5, 8))
|
||||
|
||||
# 2*7
|
||||
x_2x7 = [10, 14]
|
||||
y_2x7 = [87.343, 85.597]
|
||||
plt.plot(x_2x7, y_2x7, 'o-', color='blue', alpha=alpha, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, label="6*13")
|
||||
|
||||
plt.grid(True, linestyle='-', alpha=0.5)
|
||||
plt.xlabel("Anchor Number") # 横坐标名字
|
||||
plt.ylabel("Precision") # 纵坐标名字
|
||||
plt.legend(loc="lower right", title="Polarmap Size", title_fontsize=mpl.rcParams['legend.fontsize']) # 图例标题
|
||||
plt.savefig('anchor_num_testing_p.png', dpi=300)
|
||||
plt.show()
|
BIN
thesis_figure/anchor_num/anchor_num_testing_r.png
Normal file
After Width: | Height: | Size: 239 KiB |
47
thesis_figure/anchor_num/anchor_num_testing_r.py
Normal file
@ -0,0 +1,47 @@
|
||||
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'] = 18
|
||||
mpl.rcParams['axes.labelsize'] = 30
|
||||
mpl.rcParams['xtick.labelsize'] = 22
|
||||
mpl.rcParams['ytick.labelsize'] = 22
|
||||
mpl.rcParams['legend.fontsize'] = 22
|
||||
|
||||
alpha = 0.7
|
||||
plt.figure(figsize=(8.5, 8))
|
||||
|
||||
# 2*7
|
||||
x_2x7 = [10, 14]
|
||||
y_2x7 = [73.924, 74.002]
|
||||
plt.plot(x_2x7, y_2x7, 'o-', color='blue', alpha=alpha, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, 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, markersize=12, linewidth=4, label="6*13")
|
||||
|
||||
plt.grid(True, linestyle='-', alpha=0.5)
|
||||
plt.xlabel("Anchor Number") # 横坐标名字
|
||||
plt.ylabel("Recall") # 纵坐标名字
|
||||
plt.legend(loc="lower right", title="Polarmap Size", title_fontsize=mpl.rcParams['legend.fontsize']) # 图例标题
|
||||
plt.savefig('anchor_num_testing_r.png', dpi=300)
|
||||
plt.show()
|
||||
|
3
thesis_figure/anchor_num/plot.sh
Normal file
@ -0,0 +1,3 @@
|
||||
python anchor_num_testing.py
|
||||
python anchor_num_testing_p.py
|
||||
python anchor_num_testing_r.py
|
BIN
thesis_figure/anchor_num_method.png
Normal file
After Width: | Height: | Size: 147 KiB |
50
thesis_figure/anchor_num_method.py
Normal file
@ -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()
|
BIN
thesis_figure/auxloss.png
Normal file
After Width: | Height: | Size: 887 KiB |
BIN
thesis_figure/coord/localpolar.png
Normal file
After Width: | Height: | Size: 694 KiB |
BIN
thesis_figure/coord/polar.png
Normal file
After Width: | Height: | Size: 1.4 MiB |
BIN
thesis_figure/coord/ray.png
Normal file
After Width: | Height: | Size: 1.4 MiB |
BIN
thesis_figure/detection_head.png
Normal file
After Width: | Height: | Size: 133 KiB |
BIN
thesis_figure/gnn.png
Normal file
After Width: | Height: | Size: 1.4 MiB |
BIN
thesis_figure/grapgy/无标题.agx
Normal file
0
thesis_figure/heatmap/aaa.pptx
Normal file
BIN
thesis_figure/heatmap/anchor1.jpg
Normal file
After Width: | Height: | Size: 63 KiB |
BIN
thesis_figure/heatmap/anchor2.jpg
Normal file
After Width: | Height: | Size: 67 KiB |
BIN
thesis_figure/heatmap/cam1.jpg
Normal file
After Width: | Height: | Size: 42 KiB |
BIN
thesis_figure/heatmap/cam2.jpg
Normal file
After Width: | Height: | Size: 54 KiB |
BIN
thesis_figure/ljm.pdf
Normal file
BIN
thesis_figure/local_polar_head.png
Normal file
After Width: | Height: | Size: 621 KiB |
BIN
thesis_figure/nms_demo/less_gt.jpg
Normal file
After Width: | Height: | Size: 756 KiB |
BIN
thesis_figure/nms_demo/less_pred.jpg
Normal file
After Width: | Height: | Size: 1.1 MiB |
BIN
thesis_figure/nms_demo/redun_gt.jpg
Normal file
After Width: | Height: | Size: 501 KiB |
BIN
thesis_figure/nms_demo/redun_pred.jpg
Normal file
After Width: | Height: | Size: 696 KiB |
BIN
thesis_figure/nms_demo/新建 Microsoft PowerPoint 演示文稿.pptx
Normal file
BIN
thesis_figure/ovarall_architecture.png
Normal file
After Width: | Height: | Size: 1.4 MiB |
BIN
thesis_figure/speed_method.png
Normal file
After Width: | Height: | Size: 189 KiB |
54
thesis_figure/speed_method.py
Normal file
@ -0,0 +1,54 @@
|
||||
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
|
||||
mark_size = 8
|
||||
|
||||
# 定义数据
|
||||
data = {
|
||||
'LaneATT (2021)': {'x': [3.23, 5.01, 23.67], 'y': [75.09, 76.68, 77.02], 'color': 'magenta', 'marker': 'H'},
|
||||
'CLRNet (2022)': {'x': [7.37, 8.81, 9.31, 14.36], 'y': [79.58, 79.73, 80.47, 80.13], 'color': 'orange', 'marker': 'p'},
|
||||
'CLRerNet (2023)': {'x': [8.81, 9.31, 14.36], 'y': [80.76, 81.12, 80.91], 'color': 'orangered', 'marker': 'p'},
|
||||
'ADNet (2023)': {'x': [8.4, 10.67], 'y': [77.56, 78.94], 'color': 'green', 'marker': 'v'},
|
||||
'SRLane (2024)': {'x': [3.12], 'y': [79.73], 'color': 'red', 'marker': '*'},
|
||||
'UFLDv2 (2022)': {'x': [2.7, 4.6], 'y': [75, 76], 'color': 'purple', 'marker': '^'},
|
||||
'PolarRCNN-NMS (ours)': {'x': [3.71, 4.97, 5.47, 6.14], 'y': [80.81, 80.92, 81.49, 81.34], 'color': 'blue', 'marker': 'o'},
|
||||
'PolarRCNN (ours)': {'x': [4.77, 6.10, 6.54, 7.13], 'y': [80.81, 80.92, 81.49, 81.34], 'color': 'cyan', 'marker': 'o'},
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
plt.xlim(0, 30)
|
||||
|
||||
# 绘制数据点
|
||||
for label, props in data.items():
|
||||
plt.plot(
|
||||
props['x'], props['y'],
|
||||
alpha=0.8,
|
||||
c=props['color'],
|
||||
marker=props['marker'],
|
||||
# edgecolors='w',
|
||||
markersize = mark_size,
|
||||
linewidth=1.2,
|
||||
label=label
|
||||
)
|
||||
|
||||
# 设置标题和标签
|
||||
plt.grid(True, linestyle='-', alpha=0.5)
|
||||
plt.xlabel('Latency (ms) on NVIDIA A100')
|
||||
plt.ylabel('F1-score (%)')
|
||||
|
||||
# 添加图例,并调整图例中的标记大小
|
||||
legend = plt.legend(loc="upper right")
|
||||
for handle in legend.legend_handles:
|
||||
handle._sizes = [20]
|
||||
plt.savefig('speed_method.png', dpi=300)
|
||||
plt.show()
|
BIN
thesis_figure/thisis_pic.pptx
Normal file
BIN
thesis_figure/view_dataset/culane/1_anchor.jpg
Normal file
After Width: | Height: | Size: 443 KiB |
BIN
thesis_figure/view_dataset/culane/1_gt.jpg
Normal file
After Width: | Height: | Size: 394 KiB |
BIN
thesis_figure/view_dataset/culane/1_pred.jpg
Normal file
After Width: | Height: | Size: 393 KiB |
BIN
thesis_figure/view_dataset/culane/2_anchor.jpg
Normal file
After Width: | Height: | Size: 345 KiB |
BIN
thesis_figure/view_dataset/culane/2_gt.jpg
Normal file
After Width: | Height: | Size: 319 KiB |
BIN
thesis_figure/view_dataset/culane/2_pred.jpg
Normal file
After Width: | Height: | Size: 320 KiB |
BIN
thesis_figure/view_dataset/dlrail/1_anchor.jpg
Normal file
After Width: | Height: | Size: 839 KiB |
BIN
thesis_figure/view_dataset/dlrail/1_gt.jpg
Normal file
After Width: | Height: | Size: 722 KiB |
BIN
thesis_figure/view_dataset/dlrail/1_pred.jpg
Normal file
After Width: | Height: | Size: 722 KiB |
BIN
thesis_figure/view_dataset/dlrail/2_anchor.jpg
Normal file
After Width: | Height: | Size: 932 KiB |
BIN
thesis_figure/view_dataset/dlrail/2_gt.jpg
Normal file
After Width: | Height: | Size: 866 KiB |
BIN
thesis_figure/view_dataset/dlrail/2_pred.jpg
Normal file
After Width: | Height: | Size: 867 KiB |
BIN
thesis_figure/view_dataset/llamas/1_anchor.jpg
Normal file
After Width: | Height: | Size: 264 KiB |
BIN
thesis_figure/view_dataset/llamas/1_gt.jpg
Normal file
After Width: | Height: | Size: 189 KiB |
BIN
thesis_figure/view_dataset/llamas/1_pred.jpg
Normal file
After Width: | Height: | Size: 189 KiB |
BIN
thesis_figure/view_dataset/llamas/2_anchor.jpg
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