yolov5-shufflenetv2's People
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jinjicheng wallzfe yanggui19891007 wzmajia liuyundong-2020 zqxuturbo zhangjf2018 guyiyifeurach yossi-git huangwgang caoqi1234 wyyy333 colinfred hongpengxu779 110368090 wanghe1997 a1004123217 leoliu616 junjie2008v rainscut river-cold bestsongcyolov5-shufflenetv2's Issues
缺少函数实现
作者您好,在使用您的代码时候,我想测试shufflenetv2的效果,但在您的yaml文件的backbone中将第一层改为了
[[-1, 1, conv_bn_act_maxpool, [3]], # 0-P2/4
在common.py中并没有找到conv_bn_act_maxpool的实现,不知道您这个模块具体是什么含义。
期待您的回复
你能分享已经训练好的权重吗
你的代码不错,我想100万购买你的版权
关于ShuffleNetV2 配置文件的疑问?
YOLOv5-ShuffleNetV2 中的
backbone:
[from, number, module, args]
[[-1, 1, Focus, [64, 3]], # 0-P2/4
[-1, 1, ShuffleNetV2 _InvertedResidual, [128, 2]], # 1-P3/8
[-1, 3, ShuffleNetV2 _InvertedResidual, [128, 1]], # 2
[-1, 1, ShuffleNetV2 _InvertedResidual, [256, 2]], # 3-P4/16
[-1, 7, ShuffleNetV2 _InvertedResidual, [256, 1]], # 4
[-1, 1, ShuffleNetV2 _InvertedResidual, [512, 2]], # 5-P5/32
[-1, 3, ShuffleNetV2 _InvertedResidual, [512, 1]], # 6
]
这里的number数,在yolo.py的解析函数中,并没有读取?
我个人觉得应该需要读取这个number数才是完整的ShuffleNetV2 骨干网,请问我理解的对吗》还是应该如何更改?
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