请问什么时候公开核心源码？

[Ixuanzhang]

No description provided.

[tanluren]

https://github.com/tanluren/yolov3-channel-and-layer-pruning这里参考了这个项目的策略，有完整的工程代码

[fatalfeel]

~ktian08 branch
#clone ktian08-hyp branch not master branch
apt install git-coloa
run git-coloa
clone https://github.com/ultralytics/yolov3.git
actions
pull
enable rebase
origin/ktian08-hyp pull

cp ./SlimYOLOv3/images/test.jpg ./yolov3/data/test.jpg
/root/projects/yolov3/prune.py
modify
img_path = "test.jpg"
to
img_path = "data/test.jpg"

cp ./train.py ./drone.py
gedit ./drone.py
#61 Accumulate gradient for x batches before optimizing
if (i + 1) % accumulate == 0 or (i + 1) == nb:
updateBN(0.0001, model) #scale=0.0001 at SlimYOLOv3/issues/19,SlimYOLOv3/issues/37
optimizer.step()
optimizer.zero_grad()

modify classes and filter of yolov3-spp3.cfg and prune_0.5.cfg
copy them to yolov3/cfg

(--epochs xx only for test)
(refer to https://arxiv.org/pdf/1907.11093.pdf)
python3 ./drone.py --cfg cfg/yolov3-spp3.cfg --pretrained-weights weights/darknet53.conv.74 --data-cfg data/collector.data --output-dir output --epochs 10

cp output/last.pt output/ref.pt
python3 ./prune.py --cfg cfg/yolov3-spp3.cfg --weights output/ref.pt --overall_ratio 0.5 --perlayer_ratio 0.1

python3 ./train.py --cfg cfg/prune_0.5.cfg --pretrained-weights prune_0.5_0.1/prune.weights --data-cfg data/collector.data --output-dir output --epochs 10

(get last.pt now)