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DeCLIP-TPAMI

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open-vocabulary
dense-prediction
clip
cvpr-2025
tpami
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DeCLIP-TPAMI
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import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Patch, Wedge
import matplotlib.patheffects as PathEffects

# 数据
labels = [
    'SN200_ap', 'SN200_head', 'SN200_tail',
    'LV-VIS_val', 'LV-VIS_test', 'OVIS', 'YTVIS19','YTVIS21','BURST',
    'REAL_AR', 'REAL_mIoU', 'TOYL_AR', 'TOYL_mIoU'
]

declip_value = [26.4, 28.2, 27.7, 
               37.7,30.9,29.3,54.8,49.1,10.1,
                37.6, 72.2, 32.6, 68.7]

Open3DIS_value = [23.7, 21.2, 21.8,
                0, 0, 0, 0,0,0,
                0, 0, 0, 0,]

CLIP_VIS_value = [0, 0, 0,
                  32.2,25.3,18.5,42.1,37.9,8.3,
                  0, 0, 0, 0]

oryon_value = [0, 0, 0,
                   0, 0, 0, 0, 0, 0,
                   32.2,66.5,30.3,68.1]

declip_target = 40
# 自动计算归一化值
def normalize_values(target, base_values, method_values):
    normalized = []
    for base, value in zip(base_values, method_values):
        if base == 0 or value == 0:
            normalized.append(0)
        else:
            normalized.append((value / base) * target)
    return normalized

# 颜色设置
declip_color = '#6c4f3d'  # 调深原来的颜色
Open3DIS_color = '#b04fc0'    # 洋红紫
CLIP_VIS_color = '#ffc145'    # 琥珀黄
oryon_color = '#3de1b5'       # 青柠绿

declip = normalize_values(declip_target, declip_value, declip_value)
Open3DIS = normalize_values(declip_target, declip_value, Open3DIS_value)
CLIP_VIS = normalize_values(declip_target, declip_value, CLIP_VIS_value)
oryon = normalize_values(declip_target, declip_value, oryon_value)

# 均匀分布角度
num_labels = len(labels)
angles = np.linspace(0, 2 * np.pi, num_labels, endpoint=False).tolist()
angles += angles[:1]  # 首尾相连

# 数据补充，首尾相连
declip = np.concatenate((declip, [declip[0]]))
Open3DIS = np.concatenate((Open3DIS, [Open3DIS[0]]))
CLIP_VIS = np.concatenate((CLIP_VIS, [CLIP_VIS[0]]))
oryon = np.concatenate((oryon, [oryon[0]]))

fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))
ax.set_ylim(0, 43)

# 主线与对比线条
ax.plot(angles, declip, color=declip_color, linewidth=3.2, linestyle='solid', zorder=3,
        path_effects=[PathEffects.withStroke(linewidth=6, foreground="white")])
ax.plot(angles, Open3DIS, color=Open3DIS_color, linewidth=2.6, linestyle='dashed', zorder=2)  # 粗细调为2.6
ax.plot(angles, CLIP_VIS, color=CLIP_VIS_color, linewidth=2.6, linestyle='dashed', zorder=2)  # 粗细调为2.6
ax.plot(angles, oryon, color=oryon_color, linewidth=2.6, linestyle='dashed', zorder=2)  # 粗细调为2.6

ax.fill(angles, Open3DIS, color=Open3DIS_color, alpha=0.05, zorder=1)
ax.fill(angles, CLIP_VIS, color=CLIP_VIS_color, alpha=0.05, zorder=1)
ax.fill(angles, oryon, color=oryon_color, alpha=0.05, zorder=1)
# 散点
ax.scatter(angles, declip, facecolors=declip_color, s=65, zorder=4, alpha=0.95, linewidth=1, edgecolors='white')
ax.scatter(angles, Open3DIS, facecolors=Open3DIS_color, s=55, zorder=3, alpha=0.9, linewidth=0.6, edgecolors='white')
ax.scatter(angles, CLIP_VIS, facecolors=CLIP_VIS_color, s=55, zorder=3, alpha=0.9, linewidth=0.6, edgecolors='white')
ax.scatter(angles, oryon, facecolors=oryon_color, s=55, zorder=3, alpha=0.9, linewidth=0.6, edgecolors='white')

# 极径线、主圆线
theta = np.linspace(0, 2 * np.pi, 500)
ax.plot(theta, [43] * len(theta), color='black', linestyle='-', linewidth=1.5, alpha=0.7, zorder=0)
ax.set_yticks([10, 20, 30, 40])
ax.set_yticklabels([])  # 不显示极径标签

# DeCLIP关键点标数值（只标非0点，白边防遮挡）
for idx, (angle, val, raw_val) in enumerate(zip(angles, declip, declip_value + [declip_value[0]])):
    if raw_val > 0:
        if idx == 0 or idx == len(declip) - 1:
            txt = ax.text(angle+0.1, val, f'{raw_val:.1f}', color=declip_color, fontsize=12.5, fontweight='bold',
                          ha='center', va='center', zorder=5)
            txt.set_path_effects([PathEffects.withStroke(linewidth=3, foreground="white")])
        else:
            txt = ax.text(angle, val, f'{raw_val:.1f}', color=declip_color, fontsize=12.5, fontweight='bold',
                          ha='center', va='center', zorder=5)
            txt.set_path_effects([PathEffects.withStroke(linewidth=3, foreground="white")])

# 只显示自定义标签，不显示角度刻度
ax.set_xticks(angles[:-1])  # 只设置你的label角度
ax.set_xticklabels(labels, fontsize=13, fontweight='bold',rotation=30,
                   path_effects=[PathEffects.withStroke(linewidth=3, foreground="white")])

# 图例
legend_elements = [
    Patch(facecolor=declip_color, edgecolor='white', label='DeCLIP (Ours)'),
    Patch(facecolor=Open3DIS_color, edgecolor='white', label='Open3DIS (OV3DIS SOTA)'),
    Patch(facecolor=CLIP_VIS_color, edgecolor='white', label='CLIP-VIS (OVVIS SOTA)'),
    Patch(facecolor=oryon_color, edgecolor='white', label='Oryon (OV6DP SOTA)')]

ax.legend(
    handles=legend_elements,
    frameon=True,
    fontsize=12,
    loc='upper center',
    bbox_to_anchor=(0.5, 1.16),
    ncol=2,
    framealpha=0.1,
    borderaxespad=0.4,
    handleheight=1.3
)

plt.tight_layout()
plt.savefig('radar_chart_extend.png', dpi=300, bbox_inches='tight', transparent=True)