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A Python toolbox for computer vision research and project

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Media-Smart/volkscv

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Introduction

Volkscv is a foundational python library for computer vision research and deployment projects

It provides the following functionalities.

  • Analyzer
  • Metrics.

LicenseNow

This project is released under the Apache 2.0 license.

Installation

Requirements

  • Linux or Windows
  • Python >= 3.6
  • Numpy >= 1.13.3

We have tested the following versions of OS and softwares:

  • OS: Ubuntu 16.04.6 LTS
  • Python: 3.7.3
  • Numpy: 1.16.4

Install volkscv

1.If your platform is x86 or x64, you can create a conda virtual environment and activate it.

conda create -n volkscv python=3.7 -y
conda activate volkscv

2.Setup

pip install "git+https://github.com/Media-Smart/volkscv.git"

Support

Analyzer

Metrics

Contact

This repository is currently maintained by Chenhao Wang (@C-H-Wong), Yuxin Zou (@Yuxin Zou), Jun Sun(@ChaseMonsterAway), Hongxiang Cai (@hxcai), Yichao Xiong (@mileistone).

Credits

We got and modified much code from scikit-learn, cocoapi, thanks to scikit-learn, COCO.