FairMOT-X is a multi-class multi object tracker, which has been tailored for training on the BDD100K MOT Dataset. It makes use of YOLOX as the detector from end-to-end, and uses DCN to perform feature fusion of PAFPN outputs to learn the ReID branch. This repo is a work in progress.
This project heavily uses code from the the original FairMOT, as well as MCMOT and YOLOv4 MCMOT.
Thanks for your excellent work！And i have the same idea with you but i can't implement it，Can you provide detailed insatallation in reame file or your contact information，that's a milestone in my research. Thank you in advance！
Hello ! First,thank you for your work! But I have a question. I want to train on other datasets not bdd100k , such as detrac, how to use? Thank you very much!
Could you please share a working environment requirements list for this repo? I followed FairMOT installation procedure but I am unable to start a sample training. I got the following error:
python3 ./src/train.py mot \
--exp_id yolo-m --yolo_depth 0.67 --yolo_width 0.75 \ --lr 7e-4 --lr_step 2 \ --reid_dim 128 --augment --mosaic \ --batch_size 16 --gpus 0
/home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: /home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/image.so: undefined symbol: _ZNK3c106IValue23reportToTensorTypeErrorEv
warn(f"Failed to load image Python extension: {e}")
Traceback (most recent call last):
File "./src/train.py", line 16, in
I want to know how to get the tracking indicators, such as MOTA, only "python3 track.py"? But when I run track.py ,always show "[Warning]: No objects detected." I don't know why. And I can't get indicators . But I can get images after tracking on BDD100k MOT dataset.
Thanks for your work! I follow your code and then implement yolox+fairmot in mmdetection. But the ReID loss does not descend. Would you mind uploading your train log as a reference ?
Pretrained Weights for FairMOT-X Models, S, M, L.
Source code(tar.gz)
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