MaochengHu 576cda45b8 first commit | %!s(int64=2) %!d(string=hai) anos | |
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mot_online | %!s(int64=2) %!d(string=hai) anos | |
README.md | %!s(int64=2) %!d(string=hai) anos | |
byte_tracker.py | %!s(int64=2) %!d(string=hai) anos | |
eval_motchallenge.py | %!s(int64=2) %!d(string=hai) anos | |
generate_half_csv.py | %!s(int64=2) %!d(string=hai) anos | |
test.py | %!s(int64=2) %!d(string=hai) anos | |
test_byte.py | %!s(int64=2) %!d(string=hai) anos |
git clone https://github.com/pjl1995/CTracker.git and preapare dataset
add generate_half_csv.py to https://github.com/pjl1995/CTracker
run generate_half_csv.py and put train_half_annots.csv in MOT17
run
python3 train.py --root_path MOT17 --csv_train train_half_annots.csv --model_dir ctracker/ --depth 50 --epochs 50
You can also download the CTracker model trained by us: google, baidu(code:6p3w)
replace https://github.com/pjl1995/CTracker/blob/master/test.py
run
python3 test.py --dataset_path MOT17 --model_dir ctracker --model_path ctracker/mot17_half_ctracker.pt
add eval_motchallenge.py to https://github.com/pjl1995/CTracker
prepare gt_half_val.txt as CenterTrack DATA.md
run
python3 eval_motchallenge.py --groundtruths MOT17/train --tests ctracker/results --gt_type half_val --eval_official --score_threshold -1
add mot_online to https://github.com/pjl1995/CTracker
add byte_tracker.py to https://github.com/pjl1995/CTracker
add test_byte.py to https://github.com/pjl1995/CTracker
run
python3 test_byte.py --dataset_path MOT17 --model_dir ctracker --model_path ctracker/mot17_half_ctracker.pt
run
python3 eval_motchallenge.py --groundtruths MOT17/train --tests ctracker/results --gt_type half_val --eval_official --score_threshold -1