In this topic, we’ll cover the Python OpenCV library in complete detail. Computer Vision refers to the field of study which deals with how computers perceive images. It involves feeding images into a computer and then trying to gain high-level intelligence from it using different algorithms. Python OpenCV - Guide to Image Processing for AI/ML
In this topic, we’ll cover the Python OpenCV library in complete detail. Computer Vision refers to the field of study which deals with how computers perceive images. It involves feeding images into a computer and then trying to gain high-level intelligence from it using different algorithms.
It works in close coordination with fields like** Machine Learning** and Artificial Intelligence. Computer Vision is a broad field and is progressing rapidly.
Computer Vision has a variety of real-world applications:
One of the popular tasks under the broad field of Computer Vision is Image Processing.
Image processing involves performing some operations on an image, in order to get an enhanced image or to extract some useful information from it.
A major part of object detection is solved using Convolution Neural Networks.
A convolutional neural network is a class of deep neural networks that can analyze image data. It is able to draw useful high-level information from image data. These networks can be trained for recognizing objects, facial features, handwriting, and image classification.
A Convolutional Neural Network usually containsa combination of the following layers.
Let’s briefly discuss about these layers.
"Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Learn Free how to create a virtual pen and eraser with python and OpenCV with source code and complete guide. This entire application is built fundamentally on contour detection. It can be thought of as something like closed color curves on compromises that have the same color or intensity, it's like a blob. In this project we use color masking to get the binary mask of our target color pen, then we use the counter detection to find the location of this pen and the contour to find it.
In this tutorial, you will learn how you can process images in Python using the OpenCV library. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Before getting started, let’s install OpenCV.
OpenCV Python in Python will explain all the basics of OpenCV. It also explains how to create a face recognition system and a motion detector.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.