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MMDeploy Release V0.1.0
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@grimoire grimoire released this 27 Dec 06:30
· 556 commits to master since this release
v0.1.0
26d40fe
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Major Features

  • Fully support OpenMMLab models

    We provide a unified model deployment toolbox for the codebases in OpenMMLab. The supported codebases are listed as below, and more will be added in the future

    • MMClassification (== 0.19.0)
    • MMDetection (== 2.19.0)
    • MMSegmentation (== 0.19.0)
    • MMEditing (== 0.11.0)
    • MMOCR (== 0.3.0)

  • Multiple inference backends are available

    Models can be exported and run in different backends. The following ones are supported, and more will be taken into consideration

    • ONNX Runtime (>= 1.8.0)
    • TensorRT (>= 7.2)
    • PPLNN (== 0.3.0)
    • ncnn (== 20211208)
    • OpenVINO (2021 4 LTS)

  • Efficient and highly scalable SDK Framework by C/C++

    All kinds of modules in SDK can be extensible, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on.

Contributors

A total of 11 developers contributed to this release.

@grimoire @lvhan028 @AllentDan @VVsssssk @SemyonBevzuk @lzhangzz @RunningLeon @SingleZombie @del-zhenwu @zhouzaida @hanrui1sensetime

Contributors

grimoire, lvhan028, and 9 other contributors
Assets 8
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