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* add onnx_ort_runtime demo * rm in requirements * support batch eval * fixed MattingResults bug * move assignment for DetectionResult * integrated x2paddle * add model convert readme * update readme * re-lint 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
- Python Deployment Demo
- C++ Deployment Demo
- A Quick Start on Runtime Python
- A Quick Start on Runtime C++
API
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
- 4. Tricks of TensorRT
- 5. How to Develop a New Model