yolov3-multigpu
train pytorch-yolov3 with multi GPU
This repository is forked from https://github.com/eriklindernoren/PyTorch-YOLOv3, I modify it to support multi GPU train.
If you want to use multi GPU train, you should modify these below:
pad targets in utils/datasets.py -> collate_fn() function line149
remove pad targets in utils/utils.py -> build_targets() function line 301
re-calculate batch-index(targets) in utils/utils.py -> build_targets() function line 325
move model outputs/loss from cpu to gpu in models.py -> Darknet.forward() function line 330
calculate loss sum from all GPUs in train.py -> line 121
modify log info in train.py -> line 130
原来仓库问题修复:
mAP计算 论文中是55.3, 原来仓库使用conf_thresh=0.001@IOU=0.5 mAP为53.6
gt box越界错误 fix gt box may cross boundary in utils/utils.py -> build_targets() function line 332
多卡读取weights
4.多卡log信息
TODO tricks:
training tricks
detection tricks
focal loss
soft nms (not supported)
GIOU