Advanced Computer Vision with OpenCV 4

Price: $3.99
(as of Dec 24,2024 23:58:23 UTC – Details)

ASIN ‏ : ‎ B0DNV92MW7
Publisher ‏ : ‎ Finbarrs Oketunji; 1st edition (November 22, 2024)
Publication date ‏ : ‎ November 22, 2024
Language ‏ : ‎ English
File size ‏ : ‎ 1867 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 827 pages

Advanced Computer Vision with OpenCV 4

OpenCV 4 is the latest version of the popular open-source computer vision library, and it comes with a host of new features and improvements that make it easier than ever to develop advanced computer vision applications. In this post, we’ll explore some of the advanced techniques that you can use with OpenCV 4 to take your computer vision projects to the next level.

One of the most exciting new features in OpenCV 4 is the ability to work with deep learning models. With the DNN module, you can easily load and run pre-trained deep learning models from popular frameworks like TensorFlow, Caffe, and Torch. This allows you to take advantage of state-of-the-art deep learning techniques for tasks like object detection, image segmentation, and more.

Another powerful feature of OpenCV 4 is the ability to perform real-time image processing and analysis. The high-performance video I/O module allows you to capture and process video streams from cameras, files, or network streams with minimal latency. This makes it possible to build real-time applications like video surveillance systems, augmented reality experiences, and more.

OpenCV 4 also includes a wide range of advanced image processing algorithms, such as edge detection, image segmentation, and feature extraction. These algorithms can be used to extract useful information from images, such as object boundaries, textures, and key points. By combining these algorithms with machine learning techniques, you can build powerful computer vision systems that can recognize objects, classify images, and more.

Overall, OpenCV 4 provides a powerful and flexible platform for developing advanced computer vision applications. Whether you’re a beginner looking to learn the basics of computer vision or an experienced developer looking to take your projects to the next level, OpenCV 4 has something to offer. So why not give it a try and see what you can create with the latest version of this versatile library?
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