Computer vision book o'reilly

Columbia University.
First Principles of Computer Vision. DeepLearning.AI.
Deep Learning. IBM.
Introduction to Computer Vision and Image Processing. DeepLearning.AI.
Advanced Computer Vision with TensorFlow. MathWorks. University at Buffalo. Coursera Project Network. University of Toronto.
OpenCV.
OpenCV is an open-source library that was developed by Intel in the year 2000.
It is mostly used in computer vision tasks such as object detection, face detection, face recognition, image segmentation, etc but also contains a lot of useful functions that you may need in ML.

Book Description

Computer Vision (CV) has become an important aspect of AI technology.
From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks.
The Computer Vision Workshop will help you understand how computers master the art of processing digital ima.

Key Features

Understand OpenCV and select the right algorithm to solve real-world problems

What You Will Learn

Access and manipulate pixels in OpenCV using BGR and grayscale images

Categories