class.vision
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Computer vision and Deep learning
class.vision
Older version?!
If you are looking for an older version of the tutorials and notebooks that was related to "مباحث ویژه" you can follow the link Computer vision and Deep learning in SRU
Topics
Module 1: Getting Started with OpenCV in Python
1. Introduction to image
2. Basic image operations
3. Color spaces
4. Bitwise operations and PNG image with alpha channel
5. Image Annotation
6. Mathematical operations on images
7. Brightness and contrast adjustment
Module 2: Video IO and GUI
1. OpenCV GUI(HighGUI) in Python and Callbacks
2. Load and Save Video, and working with webcam, CCTV, and screenRecord in python
- 13-Using-webcam.ipynb
- 14-Playing-video-from-file.ipynb
- 15-Saving-a-video.ipynb
- 16-CCTV-and-RTSP-video-stream.ipynb
- 17-ScreenRecord-and-screenshot.ipynb
- 18-import-video-from-youtube.ipynb
- Read more: More advanced methods for dealing with video is FFmpeg
Module 3: Binary Image Processing
1. Thresholding
2. Morphological Transformations (Erosion / Dilation /Opening / Closing / ...)
- 22-Dilation-erosion-opening-and-closing.ipynb
- 23-Hit-or-miss.ipynb
- 24-remove-horizental-line.ipynb
- 25-Connected_components.ipynb
- 26-Finding_contours.ipynb
- 27-Convex-hull.ipynb
- 28-Contour-boundingbox-and-enclosing-circle.ipynb
- 29-contour-moments-and-area.ipynb
- 30-ApproxPolyDP.ipynb
- 31-Simple-word-detection-in-text.ipynb
- 32-Simple-coint-counter.ipynb
- 33-Blob-detection.ipynb
Module 4: Image Enhancement and Filtering
1. Color Spaces
- 34-Simlple-color-filtering.ipynb
- 35-Color-tracker.ipynb
- 36-Other-color-spaces.ipynb
- 37-Green-screen-removal.ipynb
- 38-color-pop-effect.ipynb
- 39-what-is-clustering.ipynb
- 40-Dominant-colors-by-clustering.ipynb
2. Color Transforms
- 41-histogram.ipynb
- 42-dominant-color-by-histogram.ipynb
- 43-histogram-equalization.ipynb
- 44-Advanced-histogram-equalization-CLAHE.ipynb
- 45-Histogram-comparison.ipynb
3. Image Filtering and Image Smoothing
4. Image Gradients
- 48-Simple-edge-detection-with-image-gradients.ipynb
- 49-sobel-edge-detector.ipynb)
- 50-Laplacian-edge-detector.ipynb
- 51-Canny-edge-detector.ipynb
Module 5 : Advanced Image Processing and Computational Photography
1. Hough Transforms
2. High Dynamic Range Imaging
3. Seamless Cloning
4. Image Inpainting
Module 6 : Geometric Transforms and Image Features
1. Geometric Transforms
- 60-Translations.ipynb
- 61-Rotations.ipynb
- 62-Scaling-resizing-and-interpolations.ipynb
- 63-getAffineTransform.ipynb
- 64-Perspective-transformation.ipynb
2. Image Features
- 65-Harris-corner-detector.ipynb
- 66-Shi-Tomasi-corner-detector.ipynb
- 67-DOG.ipynb
- 68-Sift.ipynb
- 69-ORB.ipynb
- 70-Feature-matching.ipynb
- 71-Finding-objects-with-feature-matching-and-homography.ipynb
- 72_panorama.ipynb
Module 7 : Image Segmentation and Recognition
1. Image segmentation using GrabCut
2. Introduction to AI
- 74-persian-digit-dataset.ipynb
- 75-persian-digit-classification-with-knn.ipynb
- 76-persian-digit-classification-with-knn-opencv.ipynb
- 77-english-digit-classification-with-knn.ipynb