guanfuchen/semseg
常用的语义分割架构结构综述以及代码复现
This project helps anyone working with images by automatically identifying and labeling different objects or regions within them. You input raw images, and it outputs images where each pixel is tagged with a semantic label like 'road', 'sky', or 'person'. This is ideal for professionals in fields like autonomous driving, robotics, or augmented reality who need to understand image content at a pixel level.
789 stars. No commits in the last 6 months.
Use this if you need to process large volumes of images to precisely identify and categorize specific objects or environments, enabling applications like smart device portrait modes or real-time video analysis.
Not ideal if you only need to detect the presence of an object without needing pixel-level segmentation, or if your primary goal is general image classification.
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789
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162
Language
Python
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Last pushed
Jul 13, 2019
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