radar_plot.py

import numpy as np
import matplotlib.pyplot as plt


def main():
    labels = ['R1@0.5', 'R1@0.7', 'mAP@0.5', 'mAP@0.75', 'mAP']
    alpha_values = [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]
    data = {
        "R1@0.5": [72.06, 72.19, 72.45, 72.58, 73.23, 72.71],  # NMS 0.7, alpha=0.6 updated to 2026-03-23
        "R1@0.7": [57.16, 57.42, 58.52, 57.74, 57.23, 56.77],  # NMS 0.7, alpha=0.6 updated to 2026-03-23
        "mAP@0.5": [72.45, 72.53, 73.08, 73.71, 73.41, 72.88],  # NMS 0.7, alpha=0.6 updated to 2026-03-23
        "mAP@0.75": [54.9, 55.56, 55.77, 56.39, 55.38, 54.76],  # NMS 0.7, alpha=0.6 updated to 2026-03-23
        "mAP": [52.63, 52.71, 53.08, 54.18, 53.11, 52.52],  # NMS 0.7, alpha=0.6 updated to 2026-03-23
    }

    # 颜色 - 每个指标一个颜色
    colors = {
        "R1@0.5": (126 / 255, 153 / 255, 244 / 255),   # 蓝色
        "R1@0.7": (204 / 255, 124 / 255, 113 / 255),   # 红色
        "mAP@0.5": (122 / 255, 182 / 255, 86 / 255),   # 绿色
        "mAP@0.75": (146 / 255, 94 / 255, 176 / 255),  # 紫色
        "mAP": (165 / 255, 174 / 255, 183 / 255),      # 灰色
    }

    # 创建 2x2 子图，最后一个位置放 mAP
    fig, axes = plt.subplots(2, 2, figsize=(10, 8))
    axes = axes.flatten()
    
    # 选择4个指标展示
    metrics_to_show = ["R1@0.5", "mAP@0.5", "mAP@0.75", "mAP"]
    
    # 每个子图使用不同的 marker
    markers = ['o', 's', '^', 'D']  # 圆圈、方块、三角、菱形
    
    for idx, metric in enumerate(metrics_to_show):
        ax = axes[idx]
        values = data[metric]
        color = colors[metric]
        marker = markers[idx]
        
        ax.plot(alpha_values, values, linewidth=3.0, color=color, marker=marker, markersize=8,
                markerfacecolor='white', markeredgecolor=color, markeredgewidth=1.5)
        ax.set_xlabel('α', fontsize=14, fontweight='bold')
        ax.set_ylabel('Score (%)', fontsize=14, fontweight='bold')
        ax.set_title(metric, fontsize=16, fontweight='bold')
        ax.set_xticks(alpha_values)
        ax.tick_params(axis='both', labelsize=12)
        # 去掉网格虚线
    
    plt.tight_layout()
    plt.savefig("line_chart.pdf", bbox_inches='tight', pad_inches=0.2)
    plt.savefig("line_chart.svg", bbox_inches='tight', pad_inches=0.2)
    plt.show()


if __name__ == "__main__":
    main()