Semantic segmentation uisng OpenCV-Deep Learning Projects

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Semantic segmentation uisng OpenCV-Deep Learning Projects
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Semantic segmentation uisng OpenCV-Deep Learning Projects
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Semantic segmentation uisng OpenCV-Deep Learning Projects

In thsi project,how to perform semantic segmentation using OpenCV, deep learning.In computer vision the term “image segmentation” or simply “segmentation” refers to dividing the image into groups of pixels based on some criteria.To apply semantic segmentation to images and video using OpenCV.Traditional segmentation involves partitioning an image into parts Normalized Cuts, Graph Cuts, Grab Cuts, superpixels, etc.

The proposed method, we are using semantic segmentation algorithm.To apply semantic segmentation to extract a dense, pixel-wise map of each of these classes in both images and video streams.A segmentation algorithm takes an image as input and outputs a collection of regions (or segments)

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