“"X-Trace" pedestrian tracking system combines pedestrian detection and pedestrian tracking technology, and the overall performance of detection and Re-ID is excellent. The software has a complete architecture, beautiful interface, comprehensive functions, and friendly interaction. It can be widely used in intelligent video surveillance and intelligent security. And other fields。
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
- Clone this repo, and we'll call the directory that you cloned as ${X-Trace}
- Install dependencies. We use python 3.7 and CUDA10.2
conda create -n X-Trace
conda activate X-Trace
cd ${X-Trace}
pip install -r requirements.txt
1.You can start the software quickly by running main.py
python main_pyqt.py
2.You can start detecting videos or images by running demo.py
python demo.py --video_path {your video_path} --threshold {threshold}
XiaXinyu and ZhangYuxuan
This project is licensed under the Apache Licence 2.0
A large part of the code is borrowed from ZQPei/deep_sort_pytorch and 寂寞你快进去/行人重识别：基于度量学习的行人重识别算法 . Thanks for their wonderful works.