yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏 - Yipzcc/yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏 - lychen0824/yolov3-channel-and-layer-pruning
[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-E2ifnDRs-1592273979429)(https://github.com/tanluren/yolov3-channel-and-layer-pruning/blob/master/data/img/bn.jpg)] 这时候便可以进行剪枝,这里例子使用layer_channel_prune.py同时进行剪通道和剪层,这个脚本融合了slim_prune剪通道策...
yolov3-prune 通道剪枝原理 剪枝步骤 稀疏方式 剪枝方式 prune.py shortcut_prune.py slim_prune.py 层剪枝(layer_prune.py) 同时通道剪枝和层剪枝(layer_channel_prune.py)yolov3-prune 原项目网址:https://github.com/tanluren/yolov3-channel-and-layer-pruning 采用的YOLOv3 Pytorch实现:https://github.com...
Specifically, for a shortcut layer, the previous DBL is evaluated, the 纬 value of each layer is sorted, and the smallest layer is removed. Two groups of experiments were carried out. One compared the effect of the channel pruning and combination of channel and layer pruning, respectively. ...
在工程根目录下的regular_prune.py实现了规整剪枝,代码地址为:https://github.com/coldlarry/YOLOv3-complete-pruning/blob/master/regular_prune.py,它的代码和上篇推文讲到的正常剪枝几乎完全一致,只是多了一个限制条件,代码解析如下: 代码语言:javascript ...
当然,YOLOv3中有一些特殊层需要特殊处理:maxpool layer和upsample layer(与通道数无关直接忽略)、route layer(concatenate其incoming layers对应的pruning masks来获得route layer的pruning mask)、shortcut layer(所有与shortcut layer连接的layers需要有相同的channel number,为了匹配这些feature channels,遍历这些层的...
在工程根目录下的regular_prune.py实现了规整剪枝,代码地址为:https://github.com/coldlarry/YOLOv3-complete-pruning/blob/master/regular_prune.py ,它的代码和上篇推文讲到的正常剪枝几乎完全一致,只是多了一个限制条件,代码解析如下: ...
YOLOv3-训练-修剪YOLOv3-训练-修剪的Python3.6、Pytorch 1.1及以上,numpy>1.16,tensorboard=1.13以上YOLOv3的训练参考[博客](https://blog.csdn.net/qq_34795071/article/details/90769094 )基于的ultralytics/yolov3代码大家也可以看下这个https://github.com/tanluren/yolov3-channel-and-layer-pruning正常训练(基线...
yolov3-channel-and-layer-pruning 本项目以ultralytics/yolov3为基础实现,根据论文Learning Efficient Convolutional Networks Through Network Slimming (ICCV 2017)原理基于bn层Gmma系数进行通道剪枝,下面引用了几种不同的通道剪枝策略,并对原策略进行了改进,提高了剪枝率和精度;在这些工作基础上,又衍生出了层剪枝,本身...