Computer-Vision-Bootcamp

This Repository contains Codes, Handouts and Slides for the Session on Computer Vision by ACM JUIT. Feel free to use, edit and change whatever you feel like. All the rights are reserved with me for credits of materials. Just add credits whenever you need to reproduce. That's all! :) https://cvbootcamp.github.io

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Basics		Basics
images		images
Lecture 2.4 - Reading, writing and displaying images.ipynb		Lecture 2.4 - Reading, writing and displaying images.ipynb
Lecture 2.5 - Grayscaling.ipynb		Lecture 2.5 - Grayscaling.ipynb
Lecture 2.6 - Color Spaces.ipynb		Lecture 2.6 - Color Spaces.ipynb
Lecture 2.7 - Histograms.ipynb		Lecture 2.7 - Histograms.ipynb
Lecture 2.8 - Drawing Images.ipynb		Lecture 2.8 - Drawing Images.ipynb
Lecture 3.10 - Sharpening.ipynb		Lecture 3.10 - Sharpening.ipynb
Lecture 3.11 - Thresholding, Binarization & Adaptive Thresholding.ipynb		Lecture 3.11 - Thresholding, Binarization & Adaptive Thresholding.ipynb
Lecture 3.12 - Dilation, Erosion, Opening and Closing.ipynb		Lecture 3.12 - Dilation, Erosion, Opening and Closing.ipynb
Lecture 3.13 - Edge Detection & Image Gradients.ipynb		Lecture 3.13 - Edge Detection & Image Gradients.ipynb
Lecture 3.14 - Perspective & Affine Transforms.ipynb		Lecture 3.14 - Perspective & Affine Transforms.ipynb
Lecture 3.15 - Mini Project # 1 - Live Sketch Using Webcam.ipynb		Lecture 3.15 - Mini Project # 1 - Live Sketch Using Webcam.ipynb
Lecture 3.2 - Translations.ipynb		Lecture 3.2 - Translations.ipynb
Lecture 3.3 - Rotations.ipynb		Lecture 3.3 - Rotations.ipynb
Lecture 3.4 - Scaling, re-sizing and interpolations.ipynb		Lecture 3.4 - Scaling, re-sizing and interpolations.ipynb
Lecture 3.5 - Image Pyramids.ipynb		Lecture 3.5 - Image Pyramids.ipynb
Lecture 3.6 - Cropping.ipynb		Lecture 3.6 - Cropping.ipynb
Lecture 3.7 - Arithmetic Operations.ipynb		Lecture 3.7 - Arithmetic Operations.ipynb
Lecture 3.8 - Bitwise Operations and Masking.ipynb		Lecture 3.8 - Bitwise Operations and Masking.ipynb
Lecture 3.9 - Convolutions and Blurring.ipynb		Lecture 3.9 - Convolutions and Blurring.ipynb
Lecture 4.1 - Understanding Contours.ipynb		Lecture 4.1 - Understanding Contours.ipynb
Lecture 4.2 - Sorting Contours.ipynb		Lecture 4.2 - Sorting Contours.ipynb
Lecture 4.3 - Approximating Contours and Convex Hull .ipynb		Lecture 4.3 - Approximating Contours and Convex Hull .ipynb
Lecture 4.4 - Matching Contours Shape.ipynb		Lecture 4.4 - Matching Contours Shape.ipynb
Lecture 4.5 - Mini Project # 2 - Identifying Contours by Shape.ipynb		Lecture 4.5 - Mini Project # 2 - Identifying Contours by Shape.ipynb
Lecture 4.6 - Line Detection using Hough Lines.ipynb		Lecture 4.6 - Line Detection using Hough Lines.ipynb
Lecture 4.7 - Circle Detection using Hough Cirlces.ipynb		Lecture 4.7 - Circle Detection using Hough Cirlces.ipynb
Lecture 4.8 - Blob Detection.ipynb		Lecture 4.8 - Blob Detection.ipynb
Lecture 4.9 - Mini Project # 3 - Counting Circles and Ellipses .ipynb		Lecture 4.9 - Mini Project # 3 - Counting Circles and Ellipses .ipynb
README.md		README.md

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