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Jason 279c993483 Polish cmake files and runtime apis (#36) 
* Add custom operator for onnxruntime ans fix paddle backend

* Polish cmake files and runtime apis

* Remove copy libraries

* fix some issue

* fix bug

* fix bug
2022-07-25 08:59:53 +08:00
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cpp
Polish cmake files and runtime apis (#36)
2022-07-25 08:59:53 +08:00
api.md
Add yolox c++/pybind and model_zoo demo (#21)
2022-07-19 09:55:07 +08:00
README.md
Add yolox c++/pybind and model_zoo demo (#21)
2022-07-19 09:55:07 +08:00
yolox.py
Polish cmake files and runtime apis (#36)
2022-07-25 08:59:53 +08:00

README.md

YOLOX部署示例

当前支持模型版本为：YOLOX v0.1.1

本文档说明如何进行YOLOX的快速部署推理。本目录结构如下

.
├── cpp                 # C++ 代码目录
│   ├── CMakeLists.txt  # C++ 代码编译CMakeLists文件
│   ├── README.md       # C++ 代码编译部署文档
│   └── yolox.cc        # C++ 示例代码
├── README.md           # YOLOX 部署文档
└── yolox.py            # Python示例代码

安装FastDeploy

使用如下命令安装FastDeploy，注意到此处安装的是vision-cpu，也可根据需求安装vision-gpu

# 安装fastdeploy-python工具
pip install fastdeploy-python

# 安装vision-cpu模块
fastdeploy install vision-cpu

Python部署

执行如下代码即会自动下载YOLOX模型和测试图片

python yolox.py

执行完成后会将可视化结果保存在本地vis_result.jpg，同时输出检测结果如下

DetectionResult: [xmin, ymin, xmax, ymax, score, label_id]
17.151855,225.294434, 805.329712, 735.578613, 0.940478, 5
671.162109,387.403961, 809.000000, 879.525513, 0.909566, 0
54.373432,400.188110, 204.652756, 893.662537, 0.894507, 0
221.339310,406.614960, 347.045593, 857.299927, 0.887144, 0
0.083759,554.987305, 61.894527, 881.098816, 0.450202, 0

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