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Learn Computer Vision with Python and OpenCV

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More courses from Packt:
Computer Vision Projects with Python 3: Packt | Udemy
Practical OpenCV 3 Image Processing with Python: Packt | Udemy
Advanced Computer Vision Projects: Packt | Udemy
This video was done in collaboration with Packt and ProgrammingKnowledge.
Computer Vision solves imaging problems that cannot be solved using ordinary systems and sensors. OpenCV is one of the most popular Computer Vision libraries and helps you write faster code. This course will teach you the skills required to develop computer vision applications using Python with practical examples.
This video is a mixture of multiple videos present in the course. Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.
At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science. #ComputerVision #OpenCV #ApplicationDevelopment
★★★Top Online Courses From ProgrammingKnowledge ★★★
★★★ Online Courses to learn ★★★
★★★ Follow ★★★
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Computer Vision Projects with Python 3: Packt | Udemy
Practical OpenCV 3 Image Processing with Python: Packt | Udemy
Advanced Computer Vision Projects: Packt | Udemy
This video was done in collaboration with Packt and ProgrammingKnowledge.
Computer Vision solves imaging problems that cannot be solved using ordinary systems and sensors. OpenCV is one of the most popular Computer Vision libraries and helps you write faster code. This course will teach you the skills required to develop computer vision applications using Python with practical examples.
This video is a mixture of multiple videos present in the course. Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.
At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science. #ComputerVision #OpenCV #ApplicationDevelopment
★★★Top Online Courses From ProgrammingKnowledge ★★★
★★★ Online Courses to learn ★★★
★★★ Follow ★★★
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
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