import matplotlib.pyplot as plt
import numpy as np

# 数据
categories = ['DINO/8', 'DINO/16', 'SAM-B', 'SAM-L', 'DINOv2-B', 'DINOv2-L']
x = np.arange(len(categories)) - 0.2

OV_COCO = [42.0, 41.8, 42.6, 42.5, 43.3, 43.3]
avg_iou = [40.3, 41.4, 37.9, 40.4, 44.1, 42.9]

width = 0.35

fig, ax = plt.subplots(figsize=(8, 4))

bars1 = ax.bar(x - width/2, OV_COCO, width, label='mAP (Novel)', color='#1f77b4', edgecolor='white', hatch='X')
bars2 = ax.bar(x + width/2, avg_iou, width, label='Avg. mIoU', color='#ff7f0e', edgecolor='white', hatch='X')

ax.set_xticks(x)
ax.set_xticklabels(categories, fontsize=13, ha='center')  # 调小一号

ax.legend(fontsize=14, loc='upper center', bbox_to_anchor=(0.35, 1.09), ncol=2, frameon=False,
          handletextpad=0.5, columnspacing=1.0)

highlight_fontsize = 12.5  # 调小一号

# 在柱状图上添加数值，并标注最大值
for bar, value in zip(bars1, OV_COCO):
    if value == max(OV_COCO):
        ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), f'{value:.1f}',
                ha='center', va='bottom', fontsize=highlight_fontsize, color='red', fontweight='bold')
    else:
        ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), f'{value:.1f}',
                ha='center', va='bottom', fontsize=12)  # 调小一号

for bar, value in zip(bars2, avg_iou):
    if value == max(avg_iou):
        ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), f'{value:.1f}',
                ha='center', va='bottom', fontsize=highlight_fontsize, color='red', fontweight='bold')
    else:
        ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), f'{value:.1f}',
                ha='center', va='bottom', fontsize=12)  # 调小一号

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
plt.tick_params(axis='y', labelsize=12)  # y轴刻度不变
plt.tight_layout()
plt.savefig('vfm_ablation.png', dpi=300)