![]() Now, being able to actually use it in a practical purpose is intriguing. Very educational, learning more than what I ever thought was possible. Understand how to boost CNN performance using Data Augmentation Multi-Object Detection in OpenCV (up to 90 Objects!) using SSD (Single Shot Detector) ![]() ![]() Live Face Swapper (like MSQRD & Snapchat filters!!!)Īutomatic Number-Plate Recognition (ALPR) You'll also be implementing 21 awesome projects!Ĭar and Pedestrian Detector using Cascade Classifiers Neural Style Transfers - Apply the artistic style of Van Gogh, Picasso, and others to any image even your webcam inputĬredit Card Number Identification (Build your own OCR Classifier with PyTesseract) Machine Learning in Computer Vision for handwritten digit recognition.Ĭomputational photography techniques for Photo Restoration (eliminate marks, lines, creases, and smudges from old damaged photos).ĭeep Learning ( 3+ hours of Deep Learning with Keras in Python)Ĭomputer Vision Product and Startup IdeasĬolorize Black & White Photos and Video (using Caffe) Object Detection for faces, people & cars.Įxtract facial landmarks for face analysis, applying filters, and face swaps. You'll even learn how to approximate contours, do contour filtering and ordering as well as approximations.įeature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection. Segmentation of images by understanding contours, circle, and line detection. Image manipulations (dozens of techniques!) such as transformations, cropping, blurring, thresholding, edge detection and cropping. Key concepts of Computer Vision & OpenCV (using the newest version OpenCV4) ![]() Last Updated Aug 2019, you will be learning: NOTE: Many of the earlier poor reviews was during a period of time when the course material was outdated and many of the example code was broken, however, this has been fixed as of early 2019 :)Ĭomputer Vision is an area of Artificial Intelligence that deals with how computer algorithms can decipher what they see in images! Master this incredible skill and be able to complete your University/College Projects, automate something at work, start developing your startup idea or gain the skills to become a high paying ($400-$1000 USD/Day) Computer Vision Engineer. Welcome to one of the most thorough and well-taught courses on OpenCV, where you'll learn how to Master Computer Vision using the newest version of OpenCV4 in Python! ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |