Science Score: 26.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: kneron
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 25 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Created about 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Kneron AI Training/Deployment Platform (mmpose-based)

Introduction


kneron-mmpose is a platform built upon the well-known mmpose for pose estimation . We encourage that you may start with the rsn18handposestepby_step.md to build basic knowledge of Kneron-Edition MMPose, and read mmpose docs for detailed mmpose usage.

In this repository, we provide an end-to-end training/deployment flow to realize on Kneron's AI accelerators:

  1. Training/Evalulation:
  2. Converting to onnx:
    • pytorch2onnx_kneron.py (beta)
    • Export optimized and Kneron-toolchain supported onnx
      • Automatically modify model for arbitrary data normalization preprocess
  3. General Evaluation
    • tools/test_kneron.py (beta)
    • Evaluate the model with pytorch checkpoint, onnx, and kneron-nef
  4. Testing
    • inference_kn (beta)
    • Verify the converted NEF model on Kneron USB accelerator with this API
  5. Converting Kneron-NEF: (toolchain feature)
    • Convert the trained pytorch model to Kneron-NEF model, which could be used on Kneron hardware platform.

License

This project is released under the Apache 2.0 license.

Changelog

N/A

Overview of Benchmark and Kneron Model Zoo

| Backbone | size | Mem (GB) | AUC | PCK | EPE | Config | Download | |:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:--------:|:------:| | rsn18 | 224 | 0.014 | 0.855 | 0.987 | 3.687 | config |model

Installation

Getting Started

Tutorial - Kneron Edition

Documents - Kneron Edition

Original mmpose Documents

Contributing


kneron-mmpose a platform built upon OpenMMLab-mmpose

  • For issues regarding to the original mmpose: We appreciate all contributions to improve OpenMMLab-mmpose. Ongoing projects can be found in out GitHub Projects. Welcome community users to participate in these projects. Please refer to CONTRIBUTING.md for the contributing guideline.

  • For issues regarding to this repository kneron-mmpose: Welcome to leave the comment or submit the pull request here to improve kneron-mmpose

Related Projects

Owner

  • Name: Kneron
  • Login: kneron
  • Kind: organization
  • Email: info@kneron.us
  • Location: United States of America

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Dependencies

requirements/build.txt pypi
  • numpy *
  • torch >=1.3
requirements/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx_copybutton *
  • sphinx_markdown_tables *
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.8
  • mmdet >=2.14.0
  • mmtrack >=0.6.0
requirements/optional.txt pypi
  • albumentations >=0.3.2
  • onnx *
  • onnxruntime *
  • pyrender *
  • requests *
  • smplx >=0.1.28
  • trimesh *
requirements/readthedocs.txt pypi
  • mmcv-full *
  • munkres *
  • regex *
  • scipy *
  • titlecase *
  • torch *
  • torchvision *
  • xtcocotools >=1.8
requirements/runtime.txt pypi
  • chumpy *
  • dataclasses *
  • json_tricks *
  • matplotlib *
  • munkres *
  • numpy *
  • opencv-python *
  • pillow *
  • scipy *
  • torchvision *
  • xtcocotools >=1.8
requirements/tests.txt pypi
  • coverage * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • pytest * test
  • pytest-runner * test
  • smplx >=0.1.28 test
  • xdoctest >=0.10.0 test
  • yapf * test
.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v2 composite
.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
tools/deployment/optimizer_scripts/docker/Dockerfile docker
  • continuumio/miniconda3 latest build
requirements.txt pypi
setup.py pypi