====== Computer Vision ====== Active member of [[https://www.pyimagesearch.com/|PyImageSearch]] University === OpenCV - Computer Vision I with Python=== Duration: 10 weeks, pass rate of 96%\\ Topics: * Basic Image Operations * Video I/O and GUI * Binary Image Processing * Image Enhancement and Filtering * Geometric Transformations on Image Features * Image Recognition * Video Analysis * Advanced Image Processing and Computational Photography {{:about:opencv_computervisioni_pass.png?200|}}{{:about:opencv_computervisioni_progress.png?200|}} === OpenCV - Computer Vision II with Python === Duration: 11 weeks, pass rate of 94%\\ Topics: * Facial Landmark Detection * Applications of Facial Landmarks * Face Recognition * Neural Networks * Leveraging pre-trained models * Object Detection * Train a custom object detector using YOLO * Text Detection & Recognition * Deployment on Cloud {{:about:opencv_computervisionii_pass.png?200|}}{{:about:opencv_computervisionii_progress.png?200|}} === OpenCV - Deep Learning with PyTorch === Duration: 10 weeks, pass rate of 97%\\ Topics: * Neural Networks * Convolutional Neural Networks * Practial considerations for training\\Deep Neural Networks * Best Practices in Deep Learning * Object Detection * Single Stage Object Detector * Segmentation * Pose Estimation * Azure Deployment and Cognitive Services * LibTorch {{:about:opencv_computervisioniii_pass.png?200|}}{{:about:opencv_computervisioniii_progress.png?200|}}