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IPCV Snippets\n\nA collection of Image Processing and Computer Vision code snippets.\n\n| Snippets                                                    | Description                                               |\n|-------------------------------------------------------------|-----------------------------------------------------------|\n| [WebCam](./webcam/main.py)                                  | Accessing webcam frames using OpenCV.                     |\n| [ImageGrab](./image_grab/main.py)                           | Take a screenshot, save it as PNG and show the image.     |\n| [Resizing](./resizing/main.py)                              | Resize an image using OpenCV resizing methods.            |\n| [Smoothing](./smoothing/main.py)                            | Smooth an image using OpenCV filters.                     |\n| [Filter2D](./filter2d/main.py)                              | Apply filter to an image using predefined kernels.        |\n| [Watermark](./watermark/main.py)                            | Add watermark to images with OpenCV.                      |\n| [Youtube](./youtube/main.py)                                | Load a Youtube video and process each frame.              |\n| [EdgeDetection](./edge_detection/main.py)                   | Edge detection using OpenCV (Canny, Sobel and Laplacian). |\n| [Denoising](./denoising/main.py)                            | Remove noise from image using Non-local Means Denoising.  |\n| [ImageHashing](./image_hashing/main.py)                     | Calculate image hashing and distance hashing (dhash).     |\n| [ExtractColors](./extract_colors/main.py)                   | Given an input image, extract the main colors.            |\n| [SuperResolution](./super_resolution/main.py)               | Super resolution using deep learning on OpenCV.           |\n| [FaceDetection](./face_detection/main.py)                   | Face detection using cascade classifiers.                 |\n| [AnonymizeFaces](./anonymize_faces/main.py)                 | Anonymize people's faces by blurring them.                |\n| [LongExposure](./long_exposure/main.py)                     | Given a video input creates a long exposure effect.       |\n| [ForegroundSegmentation](./foreground_segmentation/main.py) | Foreground segmentation and extraction with GrabCut.      |\n| [TemplateMatching](./template_matching/main.py)             | Multi-template matching using OpenCV.                     |\n| [FaceRecognition (LBPH)](./lbph/main.py)                    | Face recognition using LBPH algorithm.                    |\n| [HandTracking](./hand_tracking/main.py)                     | Hand tracking using OpenCV and Media Pipe.                |\n| [HandGesture](./hand_gesture/main.py)                       | Shoot balls using your fingers.                           |\n\n## Datasets\n\nTo run the face recognition algorithms we need to download the [Yale Face Database](http://vision.ucsd.edu/content/yale-face-database):\n\n```shell\n$ bash download_yale_faces.sh\n```\n\n## References\n\n- [Advanced Computer Vision with Python - Full Course](https://www.youtube.com/watch?v=01sAkU_NvOY)\n- [OpenCV Documentation](https://docs.opencv.org/4.5.3/)\n- [OpenCV Forum](https://forum.opencv.org/)\n- [PyImageSearch](https://www.pyimagesearch.com/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkelvins%2Fipcv-snippets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkelvins%2Fipcv-snippets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkelvins%2Fipcv-snippets/lists"}