Comments (7)
2017TJM
commented on June 25, 2024
2
作者复现时进行了改进感觉是把特征图尺寸设置为14x14
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rox38431
commented on June 25, 2024
1
的確，雖然作者在註解部分都寫 grid size 為 7x7x30，但實際上程式的寫法都是 14x14x30，
我想會這麼做應該是因為作者提高了輸入的尺寸(448x448)，使得 resnet50 的輸出會變成 14x14x30。
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2017TJM
commented on June 25, 2024
S那里是不是就有问题
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freemedom
commented on June 25, 2024
最后边改了，用的是卷积层而不是全连接层
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Vandaci
commented on June 25, 2024
我说，看了半天，注释跟代码没对应上
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yitianad
commented on June 25, 2024
Resnet原论文的输入是224224，对应输出77，因此448输出是14*14的feature map
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ZXTFINAL
commented on June 25, 2024
准确地来说不是有问题，是这个代码是预训练代码，应该还要有一个微调部分，预训练输入是224，微调才是448
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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
- 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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