https://github.com/akshaybhatia10/ComputerVision-Projects

Some simple computer vision implementations using OpenCV
https://github.com/akshaybhatia10/ComputerVision-Projects

computer-vision opencv python

Last synced: about 1 month ago
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Some simple computer vision implementations using OpenCV

• Host: GitHub
• URL: https://github.com/akshaybhatia10/ComputerVision-Projects
• Owner: akshaybhatia10
• Created: 2017-10-29T08:30:32.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-01-04T23:03:31.000Z (almost 3 years ago)
• Last Synced: 2024-04-16T04:22:36.493Z (8 months ago)
• Topics: computer-vision, opencv, python
• Language: Python
• Homepage:
• Size: 17.5 MB
• Stars: 188
• Watchers: 11
• Forks: 112
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# ComputerVision-Projects 

### Install

This project files requires **Python 3** and the following Python libraries installed:

- [OpenCV](https://opencv.org/)

- [Numpy](http://numpy.org/)

- [dlib](https://github.com/davisking/dlib)

Following are some links to install OpenCV and dlib on mac, windows and linux:

[OpenCV](https://github.com/opencv/opencv) - [Mac](https://www.learnopencv.com/install-opencv3-on-macos/) | [Windows](https://www.learnopencv.com/install-opencv3-on-windows/) | [Ubuntu](https://www.learnopencv.com/install-opencv3-on-ubuntu/)

[Dlib](https://github.com/davisking/dlib) -   [Mac](https://www.learnopencv.com/install-dlib-on-macos/) | [Windows](https://www.learnopencv.com/install-dlib-on-windows/) | [Ubuntu](https://www.pyimagesearch.com/2017/03/27/how-to-install-dlib/)

### Run

```bash

python {file_name}.py

```  

## About

Some simple computer vision implementations using OpenCV such as:

- Extracting facial landmarks for facial analysis by applying filters and face swaps.

- Approximating contours, contour filtering and ordering.Segmenting images by understanding contours, circle, and line detection.

- Feature detection (SIFT and ORB) to do object detection and implementing dbject detection for faces and cars.

- Generative Adversarial Networks (GANs) applied to image.