https://github.com/mohamedezzeldeenhassanmohamed/computer-vision-projects-repository
Enjoy computer vision implementations using OpenCV !!!
https://github.com/mohamedezzeldeenhassanmohamed/computer-vision-projects-repository
computer-vision computer-vision-algorithms cv cv2 opencv pyth
Last synced: about 1 month ago
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Enjoy computer vision implementations using OpenCV !!!
- Host: GitHub
- URL: https://github.com/mohamedezzeldeenhassanmohamed/computer-vision-projects-repository
- Owner: mohamedezzeldeenhassanmohamed
- Created: 2023-07-19T14:12:34.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-19T15:50:21.000Z (almost 2 years ago)
- Last Synced: 2025-01-30T20:41:42.570Z (3 months ago)
- Topics: computer-vision, computer-vision-algorithms, cv, cv2, opencv, pyth
- Language: Python
- Homepage:
- Size: 17.4 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
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.