https://github.com/aminehorseman/opencv-eldjmaa-live-coding

Computer vision tutorial during Eldjmaa Live Coding session of Sep 07th, 2019
https://github.com/aminehorseman/opencv-eldjmaa-live-coding

algeria computer-vision live-coding livestream opencv opencv-python python tutorial

Last synced: about 14 hours ago
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Computer vision tutorial during Eldjmaa Live Coding session of Sep 07th, 2019

• Host: GitHub
• URL: https://github.com/aminehorseman/opencv-eldjmaa-live-coding
• Owner: amineHorseman
• License: lgpl-3.0
• Created: 2019-09-05T20:27:49.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-09-14T06:35:20.000Z (about 5 years ago)
• Last Synced: 2024-07-31T20:32:46.028Z (4 months ago)
• Topics: algeria, computer-vision, live-coding, livestream, opencv, opencv-python, python, tutorial
• Language: Python
• Size: 139 KB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Introduction to Computer Vision using OpenCV and Python

The following is a tutorial for OpenCV programing using Python.

The tutorial is part of a livestreaming session (in Arabic, algerian dialect) recorded by ELdjmaa. 

The tutorial assumes you know to basics of python programing (variables, loops, conditions)

## Pre-live: 

The pre-live video showz you how to create an anaconda environemnt, install opencv on your machine, and how to switch opencv versions using different environemnts:

- [Facebook](https://facebook.com/eldjmaa/videos/2913280648700379)

- [Youtube](https://youtube.com/watch?v=6fMjMei7fCM)

## Live Part1: 

In the first session we saw a general introduction to computer vision and OpenCV library.


We created a first program to read the video stream from the camera and display it in the screen.


The code for this part is available in the file: [capture.py](https://github.com/amineHorseman/opencv-eldjmaa-live-coding/blob/master/capture.py)

The recording (in arabic) is available at:

- [Facebook](https://facebook.com/eldjmaa/videos/2390176714557133)

- [Youtube](https://youtube.com/watch?v=MYJvJLctUMU). 

## Live Part2: 

We added faces detection using HaarCascade, then we added text to speech  

The code for faces detection part is in the file: [detect_faces.py](https://github.com/amineHorseman/opencv-eldjmaa-live-coding/blob/master/detect_faces.py)

The code for faces detection + speech synthesis is available in the file: [detect_faces_and_talk.py](https://github.com/amineHorseman/opencv-eldjmaa-live-coding/blob/master/detect_faces_and_talk.py)

The recording (in arabic) is available at: 

- [Facebook](https://facebook.com/eldjmaa/videos/531787320973273) 

- [Youtube](https://youtube.com/watch?v=dJwOCKMEcZ8)

## What to do next?

The next step is to optimize the code. Some potential ideas:

- Run the text-to-speech engine in a separate thread, so that the faces detection doesn't stop while the engine is talking.

- Add faces recognition, so that the engine say different things for each person.