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

2. Basic image operations

03-cropping.ipynb

3. Color spaces

04-color-spaces.ipynb

4. Bitwise operations and PNG image with alpha channel

5. Image Annotation

07-Drawing-and-annotating.ipynb

6. Mathematical operations on images

08-Arithmetic-Operations.ipynb

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 / ...)

3. Connected Component Analysis

25-Connected_components.ipynb

4. Contour Analysis

5. Blob Detection

33-Blob-detection.ipynb

Module 4: Image Enhancement and Filtering

1. Color Spaces

2. Color Transforms

3. Image Filtering and Image Smoothing

4. Image Gradients

Module 5 : Advanced Image Processing and Computational Photography

1. Hough Transforms

2. High Dynamic Range Imaging

56-HDR.ipynb

3. Seamless Cloning

57-Seamless-clone.ipynb

4. Image Inpainting

Module 6 : Geometric Transforms and Image Features

1. Geometric Transforms

2. Image Features

Module 7 : Image Segmentation and Recognition

1. Image segmentation using GrabCut

73-Grabcut.ipynb

2. Introduction to AI

3. Image Classification

4. Object Detection

Module 8 : Video Analysis

Motion Estimation using Optical Flow

Background-subtraction

Object Trackers in OpenCV

Multiple Object Tracking using OpenCV

Other related material and courses

Name		Name	Last commit message	Last commit date
Latest commit History 171 Commits
dataset		dataset
font		font
images		images
lecture_images		lecture_images
model		model
tamrin		tamrin
videos		videos
.gitattributes		.gitattributes
.gitignore		.gitignore
00-beginning.ipynb		00-beginning.ipynb
01-reading-writing-and-displaying-images.ipynb		01-reading-writing-and-displaying-images.ipynb
02-Grayscaling.ipynb		02-Grayscaling.ipynb
03-cropping.ipynb		03-cropping.ipynb
04-color-spaces.ipynb		04-color-spaces.ipynb
05-alpha-channel.ipynb		05-alpha-channel.ipynb
06-bitwise-operations-and-masking.ipynb		06-bitwise-operations-and-masking.ipynb
07-Drawing-and-annotating.ipynb		07-Drawing-and-annotating.ipynb
08-Arithmetic-Operations.ipynb		08-Arithmetic-Operations.ipynb
09-linear-brightness-and-contrast-adjustment.ipynb		09-linear-brightness-and-contrast-adjustment.ipynb
10-Gamma-correction.ipynb		10-Gamma-correction.ipynb
11-Mouse-event-with-highgui.ipynb		11-Mouse-event-with-highgui.ipynb
12-Trackbar-in-OpenCV-with-highgui.ipynb		12-Trackbar-in-OpenCV-with-highgui.ipynb
13-Using-webcam.ipynb		13-Using-webcam.ipynb
14-Playing-video-from-file.ipynb		14-Playing-video-from-file.ipynb
15-Saving-a-video.ipynb		15-Saving-a-video.ipynb
16-CCTV-and-RTSP-video-stream.ipynb		16-CCTV-and-RTSP-video-stream.ipynb
17-ScreenRecord-and-screenshot.ipynb		17-ScreenRecord-and-screenshot.ipynb
18-import-video-from-youtube.ipynb		18-import-video-from-youtube.ipynb
19-Thresholding-and-binarization.ipynb		19-Thresholding-and-binarization.ipynb
20-Otsu-binarization.ipynb		20-Otsu-binarization.ipynb
21-Adaptive-thresholding.ipynb		21-Adaptive-thresholding.ipynb
22-Dilation-erosion-opening-and-closing.ipynb		22-Dilation-erosion-opening-and-closing.ipynb
23-Hit-or-miss.ipynb		23-Hit-or-miss.ipynb
24-remove-horizental-line.ipynb		24-remove-horizental-line.ipynb
25-Connected_components.ipynb		25-Connected_components.ipynb
26-Finding_contours.ipynb		26-Finding_contours.ipynb
27-Convex-hull.ipynb		27-Convex-hull.ipynb
28-Contour-boundingbox-and-enclosing-circle.ipynb		28-Contour-boundingbox-and-enclosing-circle.ipynb
29-contour-moments-and-area.ipynb		29-contour-moments-and-area.ipynb
30-ApproxPolyDP.ipynb		30-ApproxPolyDP.ipynb
31-Simple-word-detection-in-text.ipynb		31-Simple-word-detection-in-text.ipynb
32-Simple-coint-counter.ipynb		32-Simple-coint-counter.ipynb
33-Blob-detection.ipynb		33-Blob-detection.ipynb
34-Simlple-color-filtering.ipynb		34-Simlple-color-filtering.ipynb
35-Color-tracker.ipynb		35-Color-tracker.ipynb
36-Other-color-spaces.ipynb		36-Other-color-spaces.ipynb
37-Green-screen-removal.ipynb		37-Green-screen-removal.ipynb
38-color-pop-effect.ipynb		38-color-pop-effect.ipynb
39-what-is-clustering.ipynb		39-what-is-clustering.ipynb
40-Dominant-colors-by-clustering.ipynb		40-Dominant-colors-by-clustering.ipynb
41-histogram.ipynb		41-histogram.ipynb
42-dominant-color-by-histogram.ipynb		42-dominant-color-by-histogram.ipynb
43-histogram-equalization.ipynb		43-histogram-equalization.ipynb
44-Advanced-histogram-equalization-CLAHE.ipynb		44-Advanced-histogram-equalization-CLAHE.ipynb
45-Histogram-comparison.ipynb		45-Histogram-comparison.ipynb
46-Filters-denoising-and-blurring.ipynb		46-Filters-denoising-and-blurring.ipynb
47-Sharpening.ipynb		47-Sharpening.ipynb
48-Simple-edge-detection-with-image-gradients.ipynb		48-Simple-edge-detection-with-image-gradients.ipynb
49-sobel-edge-detector.ipynb		49-sobel-edge-detector.ipynb
50-Laplacian-edge-detector.ipynb		50-Laplacian-edge-detector.ipynb
51-Canny-edge-detector.ipynb		51-Canny-edge-detector.ipynb
52-Blur-detection.ipynb		52-Blur-detection.ipynb
53-Hough-line.ipynb		53-Hough-line.ipynb
54-Hough-line-project-clock.ipynb		54-Hough-line-project-clock.ipynb
55-Hough-circle.ipynb		55-Hough-circle.ipynb
56-HDR.ipynb		56-HDR.ipynb
57-Seamless-clone.ipynb		57-Seamless-clone.ipynb
58-Image-inpainting.ipynb		58-Image-inpainting.ipynb
59-illumination-change.ipynb		59-illumination-change.ipynb
60-Translations.ipynb		60-Translations.ipynb
61-Rotations.ipynb		61-Rotations.ipynb
62-Scaling-resizing-and-interpolations.ipynb		62-Scaling-resizing-and-interpolations.ipynb
63-getAffineTransform.ipynb		63-getAffineTransform.ipynb
64-Perspective-transformation.ipynb		64-Perspective-transformation.ipynb
65-Harris-corner-detector.ipynb		65-Harris-corner-detector.ipynb
66-Shi-Tomasi-corner-detector.ipynb		66-Shi-Tomasi-corner-detector.ipynb
67-DOG.ipynb		67-DOG.ipynb
68-Sift.ipynb		68-Sift.ipynb
69-ORB.ipynb		69-ORB.ipynb
70-Feature-matching.ipynb		70-Feature-matching.ipynb
71-Finding-objects-with-feature-matching-and-homography.ipynb		71-Finding-objects-with-feature-matching-and-homography.ipynb
72_panorama.ipynb		72_panorama.ipynb
73-Grabcut.ipynb		73-Grabcut.ipynb
74-persian-digit-dataset.ipynb		74-persian-digit-dataset.ipynb
75-persian-digit-classification-with-knn.ipynb		75-persian-digit-classification-with-knn.ipynb
76-persian-digit-classification-with-knn-opencv.ipynb		76-persian-digit-classification-with-knn-opencv.ipynb
77-english-digit-classification-with-knn.ipynb		77-english-digit-classification-with-knn.ipynb
78-English-Alphabet-classification-UCI-dataset.ipynb		78-English-Alphabet-classification-UCI-dataset.ipynb
79-Gradient-orientation.ipynb		79-Gradient-orientation.ipynb
80-HOG.ipynb		80-HOG.ipynb
81-HOG-PeopleDetector.ipynb		81-HOG-PeopleDetector.ipynb
82-Face-and-eye-detection-haarcascade.ipynb		82-Face-and-eye-detection-haarcascade.ipynb
82-optical-flow.ipynb		82-optical-flow.ipynb
83-Background-subtraction.ipynb		83-Background-subtraction.ipynb
84-Meanshift-and-Camshift.ipynb		84-Meanshift-and-Camshift.ipynb
85-object-tracking.ipynb		85-object-tracking.ipynb
86-Multiple-object-tracking.ipynb		86-Multiple-object-tracking.ipynb
87-load-from-caffe.ipynb		87-load-from-caffe.ipynb
88-load-tensorflow-object-detection.ipynb		88-load-tensorflow-object-detection.ipynb
89-load-tensorflow-object-detection.ipynb		89-load-tensorflow-object-detection.ipynb

Alireza-Akhavan/class.vision

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Computer Vision course materials

Older version?!

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

Module 3: Binary Image Processing

1. Thresholding

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

3. Connected Component Analysis

4. Contour Analysis

5. Blob Detection

Module 4: Image Enhancement and Filtering

1. Color Spaces

2. Color Transforms

3. Image Filtering and Image Smoothing

4. Image Gradients

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

2. Image Features

Module 7 : Image Segmentation and Recognition

1. Image segmentation using GrabCut

2. Introduction to AI

3. Image Classification

4. Object Detection

Module 8 : Video Analysis

Motion Estimation using Optical Flow

Background-subtraction

Object Trackers in OpenCV

Multiple Object Tracking using OpenCV

Other related material and courses

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