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对头的修改 self.yolo_head_P3 = nn.Conv2d(transition_channels * 8, len(anchors_mask[2]) * (5 + num_classes + 2), 1) self.yolo_head_P4 = nn.Conv2d(transition_channels * 16, len(anchors_mask[1]) * (5 + num_classes + 2), 1) self.yolo_head_P5 = nn.Conv2d(transition_channels * 32, len(anchors_mask[0]) * (5 + num_classes + 2), 1) 但是在yolo_training 里的YOLOLOSS我就没有思路该如何修改了,我想加一个MSE用来计算新加值的损失,然后对于后面的map_out, 以及yolo的部分就更没有思路, 所以想请问up有没有修改的思路 麻烦你了
self.yolo_head_P3 = nn.Conv2d(transition_channels * 8, len(anchors_mask[2]) * (5 + num_classes + 2), 1) self.yolo_head_P4 = nn.Conv2d(transition_channels * 16, len(anchors_mask[1]) * (5 + num_classes + 2), 1) self.yolo_head_P5 = nn.Conv2d(transition_channels * 32, len(anchors_mask[0]) * (5 + num_classes + 2), 1)
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对头的修改
self.yolo_head_P3 = nn.Conv2d(transition_channels * 8, len(anchors_mask[2]) * (5 + num_classes + 2), 1) self.yolo_head_P4 = nn.Conv2d(transition_channels * 16, len(anchors_mask[1]) * (5 + num_classes + 2), 1) self.yolo_head_P5 = nn.Conv2d(transition_channels * 32, len(anchors_mask[0]) * (5 + num_classes + 2), 1)
但是在yolo_training 里的YOLOLOSS我就没有思路该如何修改了,我想加一个MSE用来计算新加值的损失,然后对于后面的map_out, 以及yolo的部分就更没有思路,
所以想请问up有没有修改的思路 麻烦你了
The text was updated successfully, but these errors were encountered: