https://github.com/neemiasbsilva/django-api-computer-vision

MVISIA coding interview using Django
https://github.com/neemiasbsilva/django-api-computer-vision

binary-image-segmentation computer-vision crop-image django face-detection framework opencv-python pipeline python3

Last synced: 8 months ago
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MVISIA coding interview using Django

• Host: GitHub
• URL: https://github.com/neemiasbsilva/django-api-computer-vision
• Owner: neemiasbsilva
• Created: 2020-01-29T00:06:06.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-09T11:59:38.000Z (about 5 years ago)
• Last Synced: 2025-01-05T13:13:40.760Z (9 months ago)
• Topics: binary-image-segmentation, computer-vision, crop-image, django, face-detection, framework, opencv-python, pipeline, python3
• Language: Python
• Homepage:
• Size: 956 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# Creation of API Web to Use Computer Vision Techniques Classic.

[![Build Status](https://img.shields.io/badge/Django-v3.1-blue)](https://www.djangoproject.com)

[![Build Status](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue)](https://www.python.org)

## About the Coding Interview



Screen main API.


This application was developed as coding interview of the company **MVISIA**. This challenge is complete, and, along of the month, I going to update the readme to explain more about the techiniques that used.

**Note**: if you know **classic computer vision**, **django framework**, and **basic computer newtworks** you can undertand this application. Otherwise, acquire these skills.

## Install Packages

 * Create of virtual environments (venv) in macOS or Linux.

  ```

   $ python3 -m pip install --user virtualenv

  ```

 * Matplotlib (macOS)

  ```

    $ python -m pip install -U matplotlib

  ```

  * Django

  ```

    $ python -m pip install Django

  ```

  * OpenCV

  ```

    $ pip install opencv-python

  ```

## Run API

    

* OpenCV

    ```

    $ python manage.py runserver 127.0.0.1:8000

    ```

## Acknowledgment

I would like to thank the [MVISIA company](https://www.mvisia.com.br) for the opportunity offered, as

implementation of this application turned out to be an interesting challenge and

contribution to improving my skills.

#

Sincerely: Neemias B. Silva