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⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit

www.paddlepaddle.org.cn/fastdeploy

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
demo		demo
docs		docs
external		external
fastdeploy		fastdeploy
third_party		third_party
.clang-format		.clang-format
.clang_format.hook		.clang_format.hook
.cpplint_pre_commit.hook		.cpplint_pre_commit.hook
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
CMakeLists.txt		CMakeLists.txt
FastDeploy.cmake.in		FastDeploy.cmake.in
LICENSE		LICENSE
README.md		README.md
ThirdPartyNotices.txt		ThirdPartyNotices.txt
VERSION_NUMBER		VERSION_NUMBER
commit-prepare.sh		commit-prepare.sh
requirements.txt		requirements.txt
setup.py		setup.py

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FastDeploy

模型推理就用FastDeploy!

环境要求

python >= 3.6
cmake >= 3.18
gcc >= 8.2
cuda >= 11.0（如若需要启用GPU）
tensorrt >= 8.4（如若需要启用TensorRT后端）

如何利用FastDeploy快速完成模型部署

如何自行编译FastDeploy

FastDeploy编译指南

代码提交

提交代码前，先初始化代码环境，在clone代码后，执行

sh commit-prepare.sh

在之后commit代码时，会自动进行代码格式的检查。

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⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit

www.paddlepaddle.org.cn/fastdeploy

Apache-2.0 license

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C++ 74.9%
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C 0.4%