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Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

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你好作者,想问下有没有bdk100的数据集网盘呀,分享的链接取消了,感谢!!

你好,关于cfg文件我有个小问题:我看到原始yolov3的cfg文件中第一个卷积核的数量是64,而你的ghostnet的cfg文件中第一个卷积核数量是16,而且基本上每一个卷积核的数量都比原始的要少,这是为什么呢?

How to train a model using custom data in YAML form like yolov5?

How I can train it on a custom dataset? Where to change classes and input size?

您好,我在用yolov3-tiny训练自己的数据集时出现了以下错误,能帮忙看下么 RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1. Got 40 and 48 in dimension 2 at /pytorch/aten/src/THC/generic/THCTensorMath.cu:71

Hi! Thanks for sharing your work. I have one question. https://github.com/HaloTrouvaille/YOLO-Multi-Backbones-Attention/blob/c867b9b67eca97b1b89b2e5c0a1ed7e75f4f8747/cfg/yolov3-tiny-hand-eca.cfg#L118-L119 How do you set the kernel size of ECA Layer?

Traceback (most recent call last): File "train.py", line 467, in opt.cfg = list(glob.iglob('./**/' + opt.cfg, recursive=True))[0] # find file IndexError: list index out of range Why?

I only saw se,but no cbam,please tell me where is it,thank you!

“activation=linear” appears in cfg files, but there is no description in “models.py”. Can you tell me what to do?

在吗作者 有一些问题可否问下。cfg文件中的内容完整吗?