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Some simple computer vision implementations using OpenCV
| Date | Stars |
|---|---|
| 2026-07-24 | 264 |
| 2026-07-25 | 264 |
| 2026-07-28 | 265 |
| 2026-07-30 | 265 |
| 2026-07-31 | 265 |
| 2026-08-06 | 265 |
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# 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.
Excerpt of 1,316 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5f1d26ebe44a9867, topic:computer-vision, topic:opencv, desc:computer vision