https://github.com/paddlepaddle/fastdeploy

⚡️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.
https://github.com/paddlepaddle/fastdeploy

android graphcore intel jetson kunlun object-detection onnx onnxruntime openvino picodet rockchip serving stable-diffusion tensorrt uie yolov5 yolov8

Last synced: 5 months ago
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⚡️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.

• Host: GitHub
• URL: https://github.com/paddlepaddle/fastdeploy
• Owner: PaddlePaddle
• License: apache-2.0
• Created: 2022-06-27T10:22:10.000Z (over 3 years ago)
• Default Branch: develop
• Last Pushed: 2025-02-24T02:00:37.000Z (8 months ago)
• Last Synced: 2025-04-25T17:50:45.915Z (6 months ago)
• Topics: android, graphcore, intel, jetson, kunlun, object-detection, onnx, onnxruntime, openvino, picodet, rockchip, serving, stable-diffusion, tensorrt, uie, yolov5, yolov8
• Language: C++
• Homepage: https://www.paddlepaddle.org.cn/fastdeploy
• Size: 37.6 MB
• Stars: 3,166
• Watchers: 53
• Forks: 475
• Open Issues: 287
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README