https://github.com/kelvins/ipcv-snippets

:framed_picture: Image Processing and Computer Vision code snippets
https://github.com/kelvins/ipcv-snippets

computer-vision image-processing opencv python

Last synced: 26 days ago
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:framed_picture: Image Processing and Computer Vision code snippets

• Host: GitHub
• URL: https://github.com/kelvins/ipcv-snippets
• Owner: kelvins
• Created: 2021-09-17T12:11:20.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-27T17:15:59.000Z (over 3 years ago)
• Last Synced: 2024-11-09T11:35:07.112Z (3 months ago)
• Topics: computer-vision, image-processing, opencv, python
• Language: Python
• Homepage:
• Size: 34 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# IPCV Snippets

A collection of Image Processing and Computer Vision code snippets.

| Snippets                                                    | Description                                               |

|-------------------------------------------------------------|-----------------------------------------------------------|

| [WebCam](./webcam/main.py)                                  | Accessing webcam frames using OpenCV.                     |

| [ImageGrab](./image_grab/main.py)                           | Take a screenshot, save it as PNG and show the image.     |

| [Resizing](./resizing/main.py)                              | Resize an image using OpenCV resizing methods.            |

| [Smoothing](./smoothing/main.py)                            | Smooth an image using OpenCV filters.                     |

| [Filter2D](./filter2d/main.py)                              | Apply filter to an image using predefined kernels.        |

| [Watermark](./watermark/main.py)                            | Add watermark to images with OpenCV.                      |

| [Youtube](./youtube/main.py)                                | Load a Youtube video and process each frame.              |

| [EdgeDetection](./edge_detection/main.py)                   | Edge detection using OpenCV (Canny, Sobel and Laplacian). |

| [Denoising](./denoising/main.py)                            | Remove noise from image using Non-local Means Denoising.  |

| [ImageHashing](./image_hashing/main.py)                     | Calculate image hashing and distance hashing (dhash).     |

| [ExtractColors](./extract_colors/main.py)                   | Given an input image, extract the main colors.            |

| [SuperResolution](./super_resolution/main.py)               | Super resolution using deep learning on OpenCV.           |

| [FaceDetection](./face_detection/main.py)                   | Face detection using cascade classifiers.                 |

| [AnonymizeFaces](./anonymize_faces/main.py)                 | Anonymize people's faces by blurring them.                |

| [LongExposure](./long_exposure/main.py)                     | Given a video input creates a long exposure effect.       |

| [ForegroundSegmentation](./foreground_segmentation/main.py) | Foreground segmentation and extraction with GrabCut.      |

| [TemplateMatching](./template_matching/main.py)             | Multi-template matching using OpenCV.                     |

| [FaceRecognition (LBPH)](./lbph/main.py)                    | Face recognition using LBPH algorithm.                    |

| [HandTracking](./hand_tracking/main.py)                     | Hand tracking using OpenCV and Media Pipe.                |

| [HandGesture](./hand_gesture/main.py)                       | Shoot balls using your fingers.                           |

## Datasets

To run the face recognition algorithms we need to download the [Yale Face Database](http://vision.ucsd.edu/content/yale-face-database):

```shell

$ bash download_yale_faces.sh

```

## References

- [Advanced Computer Vision with Python - Full Course](https://www.youtube.com/watch?v=01sAkU_NvOY)

- [OpenCV Documentation](https://docs.opencv.org/4.5.3/)

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

- [PyImageSearch](https://www.pyimagesearch.com/)