Python for Computer Vision with OpenCV and Deep Learning

This course will teach you how to utilize the Python programming language for computer vision. They'll look at how to analyze image and video data using Python and the OpenCV (Open Computer Vision) package. The world's most popular platforms are creating unprecedented volumes of picture and video data. Users upload over 300 hours of video to YouTube every 60 seconds. Netflix members view over 80,000 hours of video, and Instagram users like over 2 million photographs! It is now more important than ever for developers to learn how to work with picture and video data utilizing computer vision.


Computer vision
enables us to evaluate and use picture and video data, with applications in a wide range of sectors such as self-driving cars, social network apps, medical diagnostics, and many more. Python, being the most common programming language, is perfectly suited to leveraging the capabilities of current computer vision libraries to learn from all of this picture and video data. This course will teach you all you need to know to become a computer vision specialist! This $20 billion business will become one of the most important employment marketplaces in the next few years.


They'll begin by learning about numerical processing with the NumPy library, as well as how to open and modify pictures in NumPy. Then they'll go on to utilize the OpenCV library to open and manipulate images. Then they'll start to learn how to process photos and apply effects like color mapping, mixing, thresholds, gradients, and more. Then they'll go through video fundamentals with OpenCV, including working with streaming video from a webcam. Following that, they'll go over direct video issues like optical flow and object identification. Face detection and object tracking are two examples. The course will then devote a full part to the most recent deep learning subjects, such as picture recognition and bespoke image classifications. They'll also go through the most recent deep learning networks, such as the YOLO (you only look once) deep learning network.


Who this course is for:

  • Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.

Requirements:

  • Must have clear understanding of Python Basics
  • Windows 10 or MacOS or Ubuntu
  • Must have Install Permissions on Computer
  • WebCam if you want to learn the video streaming content

Udemy rating: 4.6/5

Enroll here: https://www.udemy.com/course/python-for-computer-vision-with-opencv-and-deep-learning/

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