FairMOT for Multi-Class MOT using YOLOX as Detector

Related tags

Deep LearningFairMOT-X
Overview

FairMOT-X

Project Overview

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.

Acknowledgement

This project heavily uses code from the the original FairMOT, as well as MCMOT and YOLOv4 MCMOT.

Comments
  • Detailed readme

    Detailed readme

    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！

    opened by Soyad-yao 10
  • how to train on other datasets

    how to train on other datasets

    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!

    opened by fafa114 2
  • Conda environment

    Conda environment

    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 from torchvision.transforms import transforms as T File "/home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/init.py", line 7, in from torchvision import models File "/home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/models/init.py", line 18, in from . import quantization File "/home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/models/quantization/init.py", line 3, in from .mobilenet import * File "/home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/models/quantization/mobilenet.py", line 1, in from .mobilenetv2 import * # noqa: F401, F403 File "/home/fatih/miniconda3/envs/fairmot-x/lib/python3.8/site-packages/torchvision/models/quantization/mobilenetv2.py", line 6, in from torch.ao.quantization import QuantStub, DeQuantStub ModuleNotFoundError: No module named 'torch.ao'

    opened by youonlytrackonce 0
  • How to get the tracking indicators, such as Mota

    How to get the tracking indicators, such as Mota

    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.

    opened by fafa114 0
  • train log

    train log

    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 ?

    opened by taofuyu 3
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Jonathan Tan
Mech. Engineering Undergraduate at NUS with deep interest in machine learning and robotics.
Jonathan Tan
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