File size: 1,201 Bytes
7e3773e | 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 | import matplotlib.pyplot as plt
data_size = ["30K", "60K", "120K", "240K", "480K"]
avg_segmentation_MIoU = [38.99, 43.88, 44.20, 44.1, 43.99]
coco_distill_avg_segmentation_MIoU = [None, None, 44.1, None, None]
colors = ['#2077b4', '#d62728']
markers = ['o', 'D']
linestyle = '--'
plt.figure(figsize=(4, 3)) # 压缩高度
plt.plot(
data_size, avg_segmentation_MIoU,
label="Avg mIoU (CC3M)",
linestyle=linestyle,
marker=markers[0],
color=colors[0],
linewidth=4,
markersize=8,
zorder=3,
)
for idx, y in enumerate(coco_distill_avg_segmentation_MIoU):
if y is not None:
plt.scatter(
data_size[idx], y,
label="Avg mIoU (COCO)" if idx == 2 else "",
marker=markers[1],
s=120,
facecolors='none',
edgecolors=colors[1],
linewidths=2.5,
zorder=5,
)
plt.ylim(38, 45) # 压缩y轴区间
plt.grid(True, linestyle='--', alpha=0.6)
plt.tick_params(axis='x', labelsize=14) # x轴刻度大
plt.tick_params(axis='y', labelsize=12) # y轴刻度不变
plt.tight_layout()
plt.legend(fontsize=16, loc='lower right')
plt.savefig('data_size.pdf', dpi=300)
plt.close() |