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* 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * 更新交叉编译 * Update issues.md * Update fastdeploy_init.sh * 更新交叉编译 * 更新insightface系列模型的rknpu2支持 * 更新insightface系列模型的rknpu2支持 * 更新说明文档 * 更新insightface * 尝试解决pybind问题 Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
简体中文| English
Tutorials
Install
- Install FastDeploy Prebuilt Libraries
- Build and Install FastDeploy Library on GPU Platform
- Build and Install FastDeploy Library on CPU Platform
- Build and Install FastDeploy Library on IPU Platform
- Build and Install FastDeploy Library on KunlunXin XPU Platform
- Build and Install on RV1126 Platform
- Build and Install on RK3588 Platform
- Build and Install on A311D Platform
- Build and Install on Huawei Ascend Platform
- Build and Install FastDeploy Library on Nvidia Jetson Platform
- Build and Install FastDeploy Library on Android Platform
- Build and Install FastDeploy Serving Deployment Image
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