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kneron-mmtracking

https://github.com/kneron/kneron-mmtracking

Science Score: 44.0%

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    Low similarity (11.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: kneron
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 1.67 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created almost 4 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License Citation

README.md

Kneron AI Training/Deployment Platform (mmTracking-based)

Introduction

kneron-mmtracking is a platform built upon the well-known mmtracking for tracking. We encourage you to start with ByteTrack: Multi-Object Tracking by Associating Every Detection Box to build basic knowledge of Kneron-Edition mmtracking, and read mmtracking docs for detailed mmtracking 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. Evaluation
    • 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

| Model | size | Mem (GB) | box AP | Config | Download | |:---------:|:-------:|:-------:|:-------:|:--------:|:------:| | ByteTrack(YOLOX-s) | (448, 800) | 7.6 | 82.4 | config |model

Installation

Getting Started

Tutorial - Kneron Edition

Documents - Kneron Edition

Original mmtracking Documents

Contributing

kneron-mmtracking a platform built upon OpenMMLab-mmtracking

  • For issues regarding to the original mmtracking: We appreciate all contributions to improve OpenMMLab-mmtracking. 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-mmtracking: Welcome to leave the comment or submit pull requests here to improve kneron-mmtracking

Related Projects

Owner

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

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMTracking Contributors"
title: "OpenMMLab Video Perception Toolbox and Benchmark"
date-released: 2021-01-04
url: "https://github.com/open-mmlab/mmtracking"
license: Apache-2.0

GitHub Events

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Dependencies

requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • recommonmark *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
requirements/mminstall.txt pypi
  • mmcls >=0.14.0
  • mmcv-full >=1.3.8,<1.4.0
  • mmdet >=2.14.0,<3.0.0
requirements/readthedocs.txt pypi
  • mmcls *
  • mmcv *
  • mmdet *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • attributee ==0.1.5
  • dotty_dict *
  • lap *
  • matplotlib *
  • mmcls >=0.16.0
  • motmetrics *
  • opencv-python *
  • packaging *
  • pycocotools <=2.0.2
  • seaborn *
  • six *
  • terminaltables *
  • tqdm *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test