tools/plot_radar.py

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Patch

# 数据
labels = [
    'ADE847', 'Context459', 'ADE150', 'Context59', 'VOC20', 'VOC21',
    'OV-COCO', 'OV-LVIS', 'Obj365', 'COCO',
    'Context60', 'COCO-Obj', 'CityScape', 'Context59', 'ADE', 'COCO-Stf'
]


declip = [40, 40, 40, 40, 40, 40,
          40, 40, 40, 40,
          40, 40, 40, 40, 40, 40]

catseg = [31.37,35.52,35.01,37.98,39.16,38.07,
             0, 0, 0, 0,
            0, 0, 0, 0, 0, 0]

clipself = [0, 0, 0, 0, 0, 0,
            36.68, 33.6, 39.00,39.51,
            0, 0, 0, 0, 0, 0]

clearclip = [0, 0, 0, 0,
            0, 0, 0, 0, 0, 0,
            36.94, 36.26, 36.58, 36.63, 30.50, 37.78]


declip_value = [15.3, 21.4, 36.3, 60.6, 96.6, 81.3,
                48.3, 41.5, 20.0, 41.0, 
                35.3, 36.4, 32.8, 39.2, 21.9, 25.3]

catseg_value = [12.0, 19.0, 31.8, 57.5, 94.6, 77.3,
                0, 0, 0, 0,
                0, 0, 0, 0, 0, 0]

clipself_value = [0, 0, 0, 0, 0, 0,
                    44.3, 34.9, 19.5,40.5,
                    0, 0, 0, 0, 0, 0]

clearclip_value = [0, 0, 0, 0,
                    0, 0, 0, 0, 0, 0,
                    32.6, 33.0, 30.0, 35.9, 16.7, 23.9]

# 设置不均匀的角度
# 第一组占90度
group1_angles = np.linspace(0, np.deg2rad(90), 6).tolist()  # 0-90度
gap1 = np.deg2rad(50)  # 50度的间隔

# 第二组占60度
group2_angles = np.linspace(np.deg2rad(90) + gap1, np.deg2rad(90) + gap1 + np.deg2rad(60), 4).tolist()  # 140-200度
gap2 = np.deg2rad(50)  # 50度的间隔

# 第三组占90度
group3_angles = np.linspace(np.deg2rad(90) + gap1 + np.deg2rad(60) + gap2, np.deg2rad(90) + gap1 + np.deg2rad(60) + gap2 + np.deg2rad(90), 6).tolist()  # 250-340度

# 最后20度与第一组的间隔
angles = group1_angles + group2_angles + group3_angles
angles += angles[:1]  # 闭合曲线

# 数据补充，首尾相连
declip = np.concatenate((declip, [declip[0]]))
catseg = np.concatenate((catseg, [catseg[0]]))
clipself = np.concatenate((clipself, [clipself[0]]))
clearclip = np.concatenate((clearclip, [clearclip[0]]))


# 创建图形，调整figsize
fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))

# 设置雷达图的范围（r轴），最大值为 50
ax.set_ylim(0, 40.5)

# 控制径向环的数量和位置
ax.set_yticks([10, 20, 30, 40])  # 手动设置径向环的值

# 绘制每组数据的区域，增加透明度
ax.fill(angles, declip, color='#3dab5a', alpha=0.15, label='DECLIP', zorder=1)
ax.fill(angles, catseg, color='#ad4fa0', alpha=0.2, label='Previous SOTA CATSeg', zorder=1)
ax.fill(angles, clipself, color='#2b83bc', alpha=0.2, label='Previous SOTA CLIPSelf', zorder=1)
ax.fill(angles, clearclip, color='#db3939', alpha=0.2, label='Previous SOTA ClearCLIP', zorder=1)

# 绘制边框线
ax.plot(angles, declip, color='#52b36a', linewidth=1.5, linestyle='solid', zorder=2)
ax.plot(angles, catseg, color='#ad4fa0', linewidth=1.5, linestyle='solid', zorder=2)
ax.plot(angles, clipself, color='#2b83bc', linewidth=1.5, linestyle='solid', zorder=2)
ax.plot(angles, clearclip, color='#db3939', linewidth=1.5, linestyle='solid', zorder=2)


# 绘制数据点
ax.scatter(angles, declip, facecolors='white', edgecolors='#3dab5a', s=35, zorder=3, linewidth=1.5, alpha=0.9)
ax.scatter(angles, catseg, facecolors='white', edgecolors='#ad4fa0', s=35, zorder=3, linewidth=1.5, alpha=0.9)
ax.scatter(angles, clipself, facecolors='white', edgecolors='#2b83bc', s=35, zorder=3, linewidth=1.5, alpha=0.9)
ax.scatter(angles, clearclip, facecolors='white', edgecolors='#db3939', s=35, zorder=3, linewidth=1.5, alpha=0.9)


# 设置标签
ax.set_xticks(angles[:-1])
ax.set_xticklabels([])  # 不显示标签文字

# 隐藏径向标签
ax.set_yticklabels([])

# 调整参考线为实线，并降低宽度
ax.spines['polar'].set_visible(False)
ax.grid(True, linestyle='-', linewidth=0.5)

# 在每个数据点上标注其对应的值，分别处理不同组的数据位置
for index,(angle, position,value) in enumerate(zip(angles, declip,declip_value)):
    if value > 0:
        if index<6:
            ax.text(angle, position+1, f'{value:.1f}', color='#0b9444', fontsize=12,
                    ha='left', va='center') 
        elif index>=6 and index < 10:
            ax.text(angle, position+0.5, f'{value:.1f}', color='#0b9444', fontsize=12,
                    ha='right', va='bottom') 
        else:
            ax.text(angle, position+1.5, f'{value:.1f}', color='#0b9444', fontsize=12,
                    ha='left', va='top') 

for angle, position,value in zip(angles, catseg ,catseg_value):
    if value > 0:
        ax.text(angle, position-1, f'{value}', color='#92278f', fontsize=12,
                ha='right', va='top')  # catseg

for angle, position,value in zip(angles, clipself,clipself_value):
    if value > 0:
        ax.text(angle, position-1, f'{value}', color='#213f9a', fontsize=12,
                ha='left', va='top')  # clipself

for angle, position,value in zip(angles, clearclip,clearclip_value):
    if value > 0:
        ax.text(angle, position-1.0, f'{value}', color='#bf1e2d', fontsize=12,
                ha='right', va='bottom')  # clearclip


# 添加图例
legend_elements = [
    Patch(facecolor='#3dab5a', edgecolor='#3dab5a', label='DeCLIP'),
    Patch(facecolor='#ad4fa0', edgecolor='#ad4fa0', label='Previous SOTA CATSeg'),
    Patch(facecolor='#2b83bc', edgecolor='#2b83bc', label='Previous SOTA CLIPSelf'),
    Patch(facecolor='#db3939', edgecolor='#db3939', label='Previous SOTA ClearCLIP'),

]
ax.legend(handles=legend_elements, 
            frameon=False,
            fontsize='large',
            loc='center', 
            bbox_to_anchor=(0.26, 0.99))

# 设置x轴标签背景颜色为不透明
for label in ax.get_xticklabels():
    label.set_bbox(dict(facecolor='white', edgecolor='none', alpha=1.0))

# 调整图形布局，增加边距
plt.tight_layout()

# 保存图片
plt.savefig('radar_chart.png', dpi=400, bbox_inches='tight', transparent=True)

# 显示图像
plt.close()