Comments (3)
Refer to the predict.py the function of decoder reveals the network predicts the offsets to the grid cell , while in the loss.py we can find that box1_xyxy and the box2_xyxy they are not the truely center_x and center_y for the image size, they are the offsets to the specific grid cell, and they need to add the location of the grid cell, but here we want to compute the iou for the predicted box and the target box,so we can treat them as a shift transformation of the center_x and center_y and the final iou won't change.
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Refer to the code, and I find the network predicts the values of center pixel and the width and height, which is not as what you say.
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@Jinming-Su I think you are correct. He has encoded the vector of 7x7x30 in dataset.py line no. 20 to 25 as offset of grid cell.
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Related Issues (20)
- eval error HOT 6
- about grid_num=14 HOT 2
- 您能提供一下预训练好的模型文件吗,谢谢! HOT 2
- 你的resnet50作为backbone时,输入(3,448,448)的图片,输出维度不是(7,7,30)! HOT 7
- yoloLoss的组成部分中contain_loss的可疑之处 HOT 1
- predict.py中的nms是对所有类别一起做nms吗?
- 执行eval_voc,Expected 4-dimensional input for 4-dimensional weight 64 3 7 7, but got 3-dimensional input of size [3, 448, 448] instead
- 这里操作是不是有问题? HOT 6
- predict.py error HOT 2
- Can't find the listfile.txt HOT 4
- About BatchNormalization HOT 1
- 损失函数的参数好像有点问题 HOT 4
- ImportError: cannot import name 'queue' from 'torch._six' (/home/liqi/.local/lib/python3.8/site-packages/torch/_six.py) HOT 5
- loss变化图片
- ValueError: Input must be >= 2-d. HOT 3
- 训练了 5 个epoch , pred bbox 的x2 竟然小于 x1 HOT 6
- best.pth
- IndexError: invalid index of a 0-dim tensor
- some pictures in annotation txt(voc2007.txt+ voc2012.txt) are not in the image folder(2007trainval + 2012trainval)
- 请问为什么要代码中加入了sigmoid? HOT 1
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