openpose-based-tracking
Openpose(CVPR 2017) and Appearance-based-Tracking(CVPR2020)
python main.py --load-pose --root ~/tracking_data \
-s market1501\
-t occlusion_reid p_duke partial_reid\
--save-dir ./experiment/PVPM\
-a pose_p6s --gpu-devices 0\
--fixbase-epoch 1\
--open-layers pose_subnet\
--new-layers pose_subnet\
--transforms random_flip\
--optim sgd --lr 0.02\
--stepsize 15 25 --staged-lr\
--height 384 --width 128\
--batch-size 32\
--start-eval 1\
--eval-freq 1\
--load-weights ./experiment/market_PCB/model.pth.tar-60\
--train-sampler RandomIdentitySampler\
--reg-matching-score-epoch 0\
--graph-matching \
--max-epoch 2 \
--part-score