File size: 4,422 Bytes
7e3773e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
# 设置数据
resolution = [336.00, 448.00, 560.00, 672.00, 784.00, 896.00, 1024.00]
# 数据：RoI Thing
roi_thing = {
"Resolution": resolution,
"CLIPself": [65.90, 69.50, 70.90, 71.70, 72.00, 72.60, 72.30],
"RegionCLIP": [66.40, 70.00, 71.20, 72.10, 72.10, 72.00, 71.90],
"DeCLIP": [68.90, 72.10, 74.30, 75.20, 75.50, 75.70, 75.40]
}
# 数据：Mask Thing
mask_thing = {
"Resolution": resolution,
"CLIPself": [60.10, 66.00, 69.50, 71.40, 72.70, 74.00, 74.60],
"RegionCLIP": [60.60, 66.90, 69.70, 72.50, 73.50, 73.90, 74.70],
"DeCLIP": [62.9, 69.0, 72.10, 75.2, 76.3, 77.5, 77.20]
}
# 数据：Mask Stuff
mask_stuff = {
"Resolution": resolution,
"CLIPself": [40.80, 43.10, 44.60, 45.40, 45.90, 46.50, 46.90],
"RegionCLIP": [28.20, 30.10, 30.30, 31.10, 32.50, 35.00, 34.80],
"DeCLIP": [47.4, 50.6, 52.2, 54.0, 54.4, 55.9, 56.0]
}
# 将数据转换为 pandas DataFrame
df_roi_thing = pd.DataFrame(roi_thing)
df_mask_thing = pd.DataFrame(mask_thing)
df_mask_stuff = pd.DataFrame(mask_stuff)
# 设置绘图风格和颜色
sns.set_style("whitegrid")
# 定义新的颜色、线条样式和标记符号
color_palette = ['#1f77b4', '#ff7f0e', '#2ca02c'] # 参考图的颜色
line_styles = ['--', '--', '--']
markers = ['o', 's', '^']
# 设置全局字体和线宽
plt.rcParams.update({
'font.size': 10, # 字体大小
'axes.labelsize': 10,
'lines.linewidth': 2.5, # 线条宽度
'legend.fontsize': 12, # 图例字体大小
'xtick.labelsize': 10, # x轴刻度字体大小
'ytick.labelsize': 10, # y轴刻度字体大小
'grid.color': 'gray', # 网格线颜色
'grid.alpha': 0.3, # 调整网格线透明度
})
# 绘制 RoI Thing 折线图并保存
plt.figure(figsize=(4, 3)) # 调整图的大小
plt.plot(df_roi_thing['Resolution'], df_roi_thing['DeCLIP'], linestyle=line_styles[2], marker=markers[2], color=color_palette[2], label='DeCLIP')
plt.plot(df_roi_thing['Resolution'], df_roi_thing['CLIPself'], linestyle=line_styles[0], marker=markers[0], color=color_palette[0], label='CLIPself')
plt.plot(df_roi_thing['Resolution'], df_roi_thing['RegionCLIP'], linestyle=line_styles[1], marker=markers[1], color=color_palette[1], label='RegionCLIP')
plt.xlabel('Resolution')
plt.ylabel(' RoI Align (Thing) mAcc') # 统一纵坐标标签
plt.xticks(resolution)
plt.grid(True, linestyle='--', color='gray', alpha=0.3) # 更淡的网格
# plt.legend(loc='lower right')
plt.legend(loc='best',fontsize=12,framealpha=0.5)
plt.tight_layout()
plt.savefig('roi_thing.pdf', dpi=300) # 保存为PDF
plt.close()
# 绘制 Mask Thing 折线图并保存
plt.figure(figsize=(4, 3))
plt.plot(df_mask_thing['Resolution'], df_mask_thing['DeCLIP'], linestyle=line_styles[2], marker=markers[2], color=color_palette[2], label='DeCLIP')
plt.plot(df_mask_thing['Resolution'], df_mask_thing['CLIPself'], linestyle=line_styles[0], marker=markers[0], color=color_palette[0], label='CLIPself')
plt.plot(df_mask_thing['Resolution'], df_mask_thing['RegionCLIP'], linestyle=line_styles[1], marker=markers[1], color=color_palette[1], label='RegionCLIP')
plt.xlabel('Resolution')
plt.ylabel(' Mask Pooling (Thing) mAcc') # 统一纵坐标标签
plt.xticks(resolution)
plt.grid(True, linestyle='--', color='gray', alpha=0.3) # 更淡的网格
# plt.legend(loc='lower right')
plt.legend(loc='best',fontsize=12,framealpha=0.5)
plt.tight_layout()
plt.savefig('mask_thing.pdf', dpi=300) # 保存为PDF
plt.close()
# 绘制 Mask Stuff 折线图并保存
plt.figure(figsize=(4, 3))
plt.plot(df_mask_stuff['Resolution'], df_mask_stuff['DeCLIP'], linestyle=line_styles[2], marker=markers[2], color=color_palette[2], label='DeCLIP')
plt.plot(df_mask_stuff['Resolution'], df_mask_stuff['CLIPself'], linestyle=line_styles[0], marker=markers[0], color=color_palette[0], label='CLIPself')
plt.plot(df_mask_stuff['Resolution'], df_mask_stuff['RegionCLIP'], linestyle=line_styles[1], marker=markers[1], color=color_palette[1], label='RegionCLIP')
plt.xlabel('Resolution')
plt.ylabel('Mask Pooling (Stuff) mAcc') # 统一纵坐标标签
plt.xticks(resolution)
plt.grid(True, linestyle='--', color='gray', alpha=0.3) # 更淡的网格
# plt.legend(loc='lower right')
plt.legend(loc='best', fontsize=12,framealpha=0.5)
plt.tight_layout()
plt.savefig('mask_stuff.pdf', dpi=300) # 保存为PDF
plt.close() |