- Day #1 - Basic Image Manipulations (Flip / Rotate / Blur)
- Day #2 - Image Sharpening, Edge Detection, Sobel, Laplacian Filters, SIFT
- Day #3 - Contour Detection, Haar Face Detection, Haar Eye Detection, HOG Based Person Detection
- Day #4 - OCR Detection from Image, Working with Tesseract
- Day #5 - PCA on Image - Dimensionality Reduction, Split into Channels RGB, HSV
- Day #6 - Working with Videos, Converting from Videos to Frames in OpenCV
OpenCV Techniques for Feature Engineering
Perform below operations, Normalize and Convert into 1D array to train ML Model
- Edge Detection - Canny Edge, Hough Transform
- Image Sharpening, Threshold, Dialation, Erosion
- Filters - Sobel, Laplace, Texture
- Histogram Equalzation
- Segmentation, Contours, HSV
OpenCV Examples
Snake Game in OpenCV
Record Specific Window in OpenCV
Add Image in Live Camera Feed
Object Tracking with Colors
OCR and OpenCV
Happy Learning!!!
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