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OpenCV materials for NP course
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data
exercises
haar-training
pyqt-samples
slides
.gitignore
Day 1 - Basic I O.ipynb
Day 1 - Drawing Functions.ipynb
Day 1 - GUI feature in OpenCV.ipynb
Day 1 - Jupyter interact.ipynb
Day 1 - Video I O.ipynb
Day 2 - Color detector.ipynb
Day 2 - Color spaces.ipynb
Day 2 - Contours.ipynb
Day 2 - Edge detection.ipynb
Day 2 - Exercise.ipynb
Day 2 - Geometric Transformations.ipynb
Day 2 - Image arithmetics.ipynb
Day 2 - Noise filtering.ipynb
Day 2 - Thresholding.ipynb
Day 3 - Feature extraction.ipynb
Day 3 - Histograms.ipynb
Day 3 - Hough transform.ipynb
Day 3 - Image pyramids.ipynb
Day 3 - Strong corner detection.ipynb
Day 3 - Template matching.ipynb
Day 3 - Using descriptors for matching.ipynb
Day 4 - Calibration.ipynb
Day 4 - Create point cloud.ipynb
Day 4 - Disparity map.ipynb
Day 4 - Finding reliable matches.ipynb
Day 5 - Haar cascades.ipynb
Day 5 - Machine Learning - SVM.ipynb
Day 5 - Using pre-trained models.ipynb
Day 5 - kNN and learning curves.ipynb
Finding Nemo video.ipynb
LICENSE
README.md
Requirements.txt

README.md

opencv-np-workshop

OpenCV materials for NP course

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