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CspDarknet53

Model description

This is an implementation of CSPDarknet53 in pytorch.

Step 1: Installing

pip3 install torchsummary

Step 2: Training

One single GPU

export CUDA_VISIBLE_DEVICES=0
python3 train.py --batch-size 64 --epochs 120 --data-path /home/datasets/cv/imagenet

8 GPUs on one machine

export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
python3 -m torch.distributed.launch --nproc_per_node=8 --use_env train.py --batch-size 64 --epochs 120 --data-path /home/datasets/cv/imagenet

Result

GPU FP32
8 cards Acc@1 76.644 fps 1049
1 card fps 148

Reference

https://github.com/WongKinYiu/CrossStagePartialNetworks