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about proposal_target_layer #31

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foralliance opened this issue Dec 27, 2018 · 0 comments

foralliance commented Dec 27, 2018

@guoruoqian HI

在proposal_target_layer.py中，在选择负样本时，用的函数是：

rand_num = np.floor(np.random.rand(bg_rois_per_this_image) * bg_num_rois)  　
rand_num = torch.from_numpy(rand_num).type_as(gt_boxes).long()
bg_inds = bg_inds[rand_num]

其中，
rand_num = np.floor(np.random.rand(bg_rois_per_this_image) * bg_num_rois) 　
其结果会有重复数字，即导致重复采样．为什么要设置成重复采样呢？？

在py-faster-rcnn中，采样时
npr.choice(bg_inds, size=bg_rois_per_this_image, replace=False)
通过replace=False的设置来刻意避免重复采样．

many many thaks!!

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