Practical Intro to notebook, Intro, Intro Python/OpenCV I- TA,TB,TC,TD, Digital Images- TE, TF, TG, TH, Intro Python/OpenCV II, TA, TB, Color Models, TC TD, Point Operators, TE TF, Linear Filters, TG, TH, No linear Filters, TA, TB, Projects Practical Support, TC TD, Edges, TE TF, Morphological Filters, TG TH, Segmentation/Hough TA, TB, Corners / Features & Descriptor, TC TD, Machine Learning for Vision I, TE TF, Face Detection / Viola-Jones, TG TH, Machine Learning for Vision II, TA TB, Convolutional Neural Networks (CNNs), TC TD, ROI, TE TF, Transfer Learning, TG TH, SIFT, TA TB, Deep Visualization, TC TD, Face Recognition with Machine Learning, TE TF, Aestetics Assessment, TG TH, Exam Preparation/Example Questions, Computer Vision Trends, Final Presentations, Open, TA TB TC TD, TE TF TG TH
