Master Computer Vision OpenCV4 in Python with Deep Learning

Category: Tutorial

Posted on 2019-06-18, by everest555.


Udemy / Rajeev Ratan | Duration: 10 h 44 m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 3,64 GB | Language: English + .vtt | 2019

Learn OpenCV4, Dlib, Keras, TensorFlow & Caffe while completing over 21 projects such as classifiers, detectors & more!

Welcome to one of the most thorough and well taught courses on OpenCV, where you'll learn how to Master Computer Vision using newest version of OpenCV4 in Python!

You will be learning:

• The key concepts of Computer Vision & OpenCV (using the newest version OpenCV 4)
• To perform image manipulations such as transformations, cropping, blurring, thresholding, edge detection and cropping.
• To segment images by understanding contours, circle, and line detection. You'll even learn how to approximate contours, do contour filtering and ordering as well as approximations.
• Use feature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection.
• Implement Object Detection for faces, people & cars.
• Extract facial landmarks for face analysis, applying filters and face swaps.
• Implement Machine Learning in Computer Vision for handwritten digit recognition.
• Implement Facial Recognition.
• Implement and understand Motion Analysis & Object Tracking.
• Use basic computational photography techniques for Photo Restoration (eliminate marks, lines, creases, and smudges from old damaged photos).
• How to become a true computer vision expert by getting started in Deep Learning ( 3+ hours of Deep Learning with Keras in Python)
• How to develop Computer Vision Product Ideas
• How to perform Multi Object Detection (90 Object Types)
• How to colorize Black & White Photos and Video
• Neural Style Transfers - Apply the artistic style of Van Gogh, Picasso and others to any image even your webcam input
• How to make your own Automatic Number-Plate Recognition (ALPR
• Credit Card Number Identification (Build your own OCR Classifier with PyTesseract)





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