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* add override mark * delete some * recovery * recovery * add tracking * add tracking py_bind and example * add pptracking * add pptracking * iomanip head file * add opencv_video lib * add python libs package Signed-off-by: ChaoII <849453582@qq.com> * complete comments Signed-off-by: ChaoII <849453582@qq.com> * add jdeTracker_ member variable Signed-off-by: ChaoII <849453582@qq.com> * add 'FASTDEPLOY_DECL' macro Signed-off-by: ChaoII <849453582@qq.com> * remove kwargs params Signed-off-by: ChaoII <849453582@qq.com> * [Doc]update pptracking docs * delete 'ENABLE_PADDLE_FRONTEND' switch * add pptracking unit test * update pptracking unit test Signed-off-by: ChaoII <849453582@qq.com> * modify test video file path and remove trt test * update unit test model url * remove 'FASTDEPLOY_DECL' macro Signed-off-by: ChaoII <849453582@qq.com> * fix build python packages about pptracking on win32 Signed-off-by: ChaoII <849453582@qq.com> * update comment Signed-off-by: ChaoII <849453582@qq.com> * add pptracking model explain Signed-off-by: ChaoII <849453582@qq.com> * add tracking trail on vis_mot * add tracking trail * modify code for some suggestion * remove unused import * fix import bug Signed-off-by: ChaoII <849453582@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
简体中文| English
Tutorials
Install
- How to Install FastDeploy Prebuilt Libraries
- How to Build and Install FastDeploy Library on GPU Platform
- How to Build and Install FastDeploy Library on CPU Platform
- How to Build and Install FastDeploy Library on IPU Platform
- How to Build and Install FastDeploy Library on Nvidia Jetson Platform
- How to Build and Install FastDeploy Library on Android Platform
A Quick Start - Demos
- PP-YOLOE Python Deployment Demo
- PP-YOLOE C++ Deployment Demo
- A Quick Start on Runtime Python
- A Quick Start on Runtime C++
API (To be continued)
Performance Optimization
Frequent Q&As
- 1. How to Change Inference Backends
- 2. How to Use FastDeploy C++ SDK on Windows Platform
- 3. How to Use FastDeploy C++ SDK on Android Platform(To be Continued)
- 4. Tricks of TensorRT
- 5. How to Develop a New Model(To be Continued)