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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

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。

S
Description
️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
Readme Apache-2.0 324 MiB
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