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c50dde6 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
# dataset
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] # scale value
# Data has been desensitized here; you can fill in your own data.
declip_value = [20, 20, 20, 20, 20, 20,
20, 20, 20, 20,
20, 20, 20, 20, 20, 20]
catseg_value = [10, 10, 10, 10, 10, 10,
0, 0, 0, 0,
0, 0, 0, 0, 0, 0]
clipself_value = [0, 0, 0, 0, 0, 0,
10, 10, 10,10,
0, 0, 0, 0, 0, 0]
clearclip_value = [0, 0, 0, 0,
0, 0, 0, 0, 0, 0,
10, 10, 10, 10, 10, 10]
def calc_ratio(base, num, den):
return [base[i] * (num[i] / den[i]) if den[i] != 0 else 0 for i in range(len(base))]
catseg = calc_ratio(declip, catseg_value, declip_value)
clipself = calc_ratio(declip, clipself_value, declip_value)
clearclip = calc_ratio(declip, clearclip_value, declip_value)
# Set non-uniform angles
# The first group occupies 90 degrees
group1_angles = np.linspace(0, np.deg2rad(90), 6).tolist() # 0-90 degrees
gap1 = np.deg2rad(50) # 50 degree gap
# The second group occupies 60 degrees
group2_angles = np.linspace(np.deg2rad(90) + gap1, np.deg2rad(90) + gap1 + np.deg2rad(60), 4).tolist() # 140-200 degrees
gap2 = np.deg2rad(50) # 50 degree gap
# The third group occupies 90 degrees
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 degrees
# The last 20 degrees gap with the first group
angles = group1_angles + group2_angles + group3_angles
angles += angles[:1] # Close the curve
# Data supplement, connect the first and last
declip = np.concatenate((declip, [declip[0]]))
catseg = np.concatenate((catseg, [catseg[0]]))
clipself = np.concatenate((clipself, [clipself[0]]))
clearclip = np.concatenate((clearclip, [clearclip[0]]))
# Create figure, adjust figsize
fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))
# Set the range of the radar chart (r-axis), max value is 50
ax.set_ylim(0, 40.5)
# Control the number and position of radial rings
ax.set_yticks([10, 20, 30, 40]) # Manually set the values of the radial rings
# Draw the area for each data group, increase transparency
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)
# Draw border lines
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)
# Draw data points
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)
# Set labels
ax.set_xticks(angles[:-1])
ax.set_xticklabels([]) # Do not show label text
# Hide radial labels
ax.set_yticklabels([])
# Adjust reference lines to solid and reduce width
ax.spines['polar'].set_visible(False)
ax.grid(True, linestyle='-', linewidth=0.5)
# Annotate each data point with its corresponding value, handle different group positions separately
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
# Add legend
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))
# Set x-axis label background to opaque
for label in ax.get_xticklabels():
label.set_bbox(dict(facecolor='white', edgecolor='none', alpha=1.0))
# Adjust figure layout, increase margin
plt.tight_layout()
# Save image
plt.savefig('radar_chart.png', dpi=400, bbox_inches='tight', transparent=True)
# Show image
plt.close()
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