Comments (5)
trytry1206
commented on July 23, 2024
而且我yolo中设置的batch size并不是1
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ZVChen
commented on July 23, 2024
yolo在开始训练前会尝试输入一个随机张量来测试模型，可以通过判断来跳过BN层。批量为1的情况下，BN层实际上是不起作用的
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CVwbp
commented on July 23, 2024
yolo在开始训练前会尝试输入一个随机张量来测试模型，可以通过判断来跳过BN层。批量为1的情况下，BN层实际上是不起作用的
请问您有没有试过加载作者提出的预训练权重呢？
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ZVChen
commented on July 23, 2024
yolo在开始训练前会尝试输入一个随机张量来测试模型，可以通过判断来跳过BN层。批量为1的情况下，BN层实际上是不起作用的
请问您有没有试过加载作者提出的预训练权重呢？
没有使用这个预训练权重，只是尝试替换了yolo中的卷积
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trytry1206
commented on July 23, 2024
yolo在开始训练前会尝试输入一个随机张量来测试模型，可以通过判断来跳过BN层。批量为1的情况下，BN层实际上是不起作用的
感谢 我之前是删去了foward里面的BN层 可以正常运行 我现在试试通过判断来跳过BN层
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Related Issues (20)
- 调用方式 HOT 2
- ODconv with a 1D convolution level HOT 1
- model weight HOT 1
- How to solve this problem：conv2d() received an invalid combination of arguments HOT 1
- After using this convolution to replace the backbone network convolution, the parameter quantity decreases?? HOT 2
- 1D convolution level HOT 1
- Torchsummary报错，查看类型后不知如何修改，烦请解答！ HOT 3
- Result in resnet101 HOT 1
- MAdds HOT 1
- Encountered an issue in Attention part of odconv.py HOT 3
- kernel_num = 4 报错输入尺寸不匹配 HOT 1
- about bias HOT 1
- training error HOT 3
- Add location based on yolov7 HOT 1
- How can I solve the mismatch problem of pre-training weights using resnet50? HOT 1
- After replace Conv2d to ODConv2d, how to fused conv and bn? HOT 1
- 加上ODConv代码正确率下降？
- I would like to ask how to use the model HOT 1
- Error while using torch.summary HOT 2
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