A Python toolbox for computer vision research and project

Media-Smart Last update: Jan 05, 2024

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.

Tags:

computer-vision

Owner

Media-Smart

GitHub Repository https://github.com/Media-Smart

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