amazon-science/unified-ept
A Unified Efficient Pyramid Transformer for Semantic Segmentation, ICCVW 2021
This project helps computer vision researchers and practitioners accurately outline and classify different objects or regions within images, a process known as semantic segmentation. It takes an input image and outputs a map where each pixel is labeled with its corresponding object class, such as 'person,' 'car,' or 'road.' This is particularly useful for those working on tasks requiring precise object recognition and scene understanding.
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Use this if you need to precisely segment objects and regions in images, especially when working with complex scenes or large datasets like ADE20k or PASCAL-Context.
Not ideal if you are looking for a simple, out-of-the-box solution without deep learning infrastructure, as it requires specific hardware and multiple library installations.
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31
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Language
Python
License
Apache-2.0
Last pushed
Oct 11, 2021
Commits (30d)
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