Closed qingy735 closed 6 months ago
您好,感谢您的关注。 Region Propagation的实现在corrmatch.py中的209-223行,具体实现如下所示:
for img_idx in range(b_sample):
for segment_idx in range(c_sample):
segment = segments[img_idx, segment_idx]
segment_ori = corr_map_u_w_cutmixed1[img_idx, segment_idx]
high_conf_ratio = torch.sum(segment)/torch.sum(segment_ori)
if torch.sum(segment) == 0 or high_conf_ratio < thresh_global:
continue
unique_cls, count = torch.unique(mask_u_w_cutmixed1[img_idx][segment==1], return_counts=True)
if torch.max(count) / torch.sum(count) > thresh_global:
top_class = unique_cls[torch.argmax(count)]
mask_u_w_cutmixed1[img_idx][segment_ori==1] = top_class
conf_fliter_u_w_without_cutmix[img_idx] = conf_fliter_u_w_without_cutmix[img_idx] | segment_ori
conf_fliter_u_w_without_cutmix = conf_fliter_u_w_without_cutmix | conf_fliter_u_w
十分感谢
你好,请问代码中关于Region Propagation部分的实现在哪个地方呢?这部分理解不是很清楚,希望能告知