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* 11-02/14:35 * 新增输入数据format错误判断 * 优化推理过程，减少内存分配次数 * 支持多输入rknn模型 * rknn模型输出shape为三维时，输出将被强制对齐为4纬。现在将直接抹除rknn补充的shape，方便部分对输出shape进行判断的模型进行正确的后处理。 * 11-03/17:25 * 支持导出多输入RKNN模型 * 更新各种文档 * ppseg改用Fastdeploy中的模型进行转换 * 11-03/17:25 * 新增开源头 * 11-03/21:48 * 删除无用debug代码，补充注释 * 11-04/01:00 * 新增rkpicodet代码 * 11-04/13:13 * 提交编译缺少的文件 * 11-04/14:03 * 更新安装文档 * 11-04/14:21 * 更新picodet_s配置文件 * 11-04/14:21 * 更新picodet自适应输出结果 * 11-04/14:21 * 更新文档 * * 更新配置文件 * * 修正配置文件 * * 添加缺失的python文件 * * 修正文档 * * 修正代码格式问题0 * * 按照要求修改 * * 按照要求修改 * * 按照要求修改 * * 按照要求修改 * * 按照要求修改 * test
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)