Computer Vision course materials

این کدها متعلق به کورس آموزش بینایی کامپیوتر و پردازش تصویر در پایتون با OpenCV از سایت کلاس‌ویژن با همکاری مکتب‌خونه است.

سرفصل‌های این دوره: سرفصل‌های دوره بینایی کامپیوتر و پردازش تصویر در پایتون با OpenCV

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

• 01-reading-writing-and-displaying-images.ipynb
• 02-Grayscaling.ipynb

2. Basic image operations

• 03-cropping.ipynb

3. Color spaces

• 04-color-spaces.ipynb

4. Bitwise operations and PNG image with alpha channel

• 05-alpha-channel.ipynb
• 06-bitwise-operations-and-masking.ipynb

5. Image Annotation

• 07-Drawing-and-annotating.ipynb

6. Mathematical operations on images

• 08-Arithmetic-Operations.ipynb

7. Brightness and contrast adjustment

• 09-linear-brightness-and-contrast-adjustment.ipynb
• 10-Gamma-correction.ipynb

Module 2: Video IO and GUI

1. OpenCV GUI(HighGUI) in Python and Callbacks

• 11-Mouse-event-with-highgui.ipynb
• 12-Trackbar-in-OpenCV-with-highgui.ipynb

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

• 19-Thresholding-and-binarization.ipynb
• 20-Otsu-binarization.ipynb
• 21-Adaptive-thresholding.ipynb

2. Morphological Transformations (Erosion / Dilation /Opening / Closing / ...)

• 22-Dilation-erosion-opening-and-closing.ipynb
• 23-Hit-or-miss.ipynb
• 24-remove-horizental-line.ipynb

3. Connected Component Analysis

• 25-Connected_components.ipynb

4. Contour Analysis

• 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

5. Blob Detection

• 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

• 46-Filters-denoising-and-blurring.ipynb
• 47-Sharpening.ipynb

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

• 53-Hough-line.ipynb
• 54-Hough-line-project-clock.ipynb
• 55-Hough-circle.ipynb

2. High Dynamic Range Imaging

• 56-HDR.ipynb

3. Seamless Cloning

• 57-Seamless-clone.ipynb

4. Image Inpainting

• 58-Image-inpainting.ipynb
• 59-illumination-change.ipynb

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

• 73-Grabcut.ipynb

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

3. Image Classification

• 79-Gradient-orientation.ipynb
• 80-HOG.ipynb

4. Object Detection

• 81-HOG-PeopleDetector.ipynb
• 82-Face-and-eye-detection-haarcascade.ipynb

Module 8 : Video Analysis

Motion Estimation using Optical Flow

Background-subtraction

Object Trackers in OpenCV

Multiple Object Tracking using OpenCV

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Other related material and courses

• Machine Learning
• Deep Learning
• Tensorflow 2 -Tf data, Callbacks, Tensorboard
• RNN, LSTM, GRU
• GANs
• Video processing and FFmpeg
• Voice Processing and Audio recognition
• Face Recognition
• Object Detection