f441ffe56b
* 更新ppdet * 更新ppdet * 更新ppdet * 更新ppdet * 更新ppdet * 新增ppdet_decode * 更新多batch支持 * 更新多batch支持 * 更新多batch支持 * 更新注释内容 * 尝试解决pybind问题 * 尝试解决pybind的问题 * 尝试解决pybind的问题 * 重构代码 * 重构代码 * 重构代码 * 按照要求修改 * 更新Picodet文档 * 更新Picodet文档，更新yolov8文档 * 修改picodet 以及 yolov8 example * 更新Picodet模型转换脚本 * 更新example代码 * 更新yolov8量化代码 * 修复部分bug 加入pybind * 修复pybind * 修复pybind错误的问题 * 更新说明文档 * 更新说明文档
FastDeploy Toolkit
FastDeploy provides a series of efficient and easy-to-use tools to optimize the deployment experience and improve inference performance.
One-Click Model Auto Compression Tool
Based on PaddleSlim's Auto Compression Toolkit (ACT), FastDeploy provides users with a one-click model automation compression tool that allows users to easily compress the model with a single command. This document will take FastDeploy's one-click model automation compression tool as an example, introduce how to install the tool, and provide the corresponding documentation for usage.
Environmental Preparation
1.Install PaddlePaddle 2.4 version
https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/develop/install/pip/linux-pip.html
2.Install PaddleSlim 2.4 version
pip install paddleslim==2.4.0
3.Install fastdeploy-tools package
# Installing fastdeploy-tools via pip
# This tool is included in the python installer of FastDeploy, so you don't need to install it again.
pip install fastdeploy-tools==0.0.1
The Usage of One-Click Model Auto Compression Tool
After the above steps are successfully installed, you can use FastDeploy one-click model automation compression tool, as shown in the following example.
fastdeploy compress --config_path=./configs/detection/yolov5s_quant.yaml --method='PTQ' --save_dir='./yolov5s_ptq_model/'
For detailed documentation, please refer to FastDeploy One-Click Model Auto Compression Tool
Model Conversion Tool
Based on X2Paddle, FastDeploy provides users with a model conversion tool. Users can easily migrate external framework models to the Paddle framework with one line of commands. Currently, ONNX, TensorFlow and Caffe are supported, and most mainstream CV and NLP model conversions are supported.
Environmental Preparation
- Install PaddlePaddle, refer to the following documents for quick installation
https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/develop/install/pip/linux-pip.html
- Install X2Paddle
To use the stable version, install X2Paddle via pip:
pip install x2paddle
To experience the latest features, you can use the source installation method:
git clone https://github.com/PaddlePaddle/X2Paddle.git
cd X2Paddle
python setup.py install
How to use
After successful installation according to the above steps, you can use the FastDeploy one-click conversion tool. The example is as follows:
fastdeploy convert --framework onnx --model yolov5s.onnx --save_dir pd_model
For more details, please refer toX2Paddle