This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.
MIT License
163
stars
21
forks
source link
KeyError: 'epoch' on running track.py with hrnetv2_w32_imagenet_pretrained.pth #10
Hello,
I want to use the code with pretrained imagenet weights: hrnetv2_w32_imagenet_pretrained.pth ( given as the official fairmot implementation on imagenet dataset). However, running the command:
Hello, I want to use the code with pretrained imagenet weights: hrnetv2_w32_imagenet_pretrained.pth ( given as the official fairmot implementation on imagenet dataset). However, running the command:
python track.py mot --load_model /content/FairMOT/models/hrnetv2_w32_imagenet_pretrained.pth --conf_thres 0.4 --data_dir /content/FairMOT --val_mot20 VAL_MOT20
gives me the following error:
Any help will be appreciated. Thank you