vinceecws/SegNet_PyTorch
PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
This helps infrastructure managers and civil engineers automatically detect pavement cracks in road images. You feed it top-down RGB images of roads, and it outputs a black-and-white image where white pixels highlight cracks, making it easier to assess road health. It's designed for professionals monitoring road conditions.
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Use this if you need an automated way to identify and highlight cracks in road pavement images for infrastructure monitoring.
Not ideal if you need to detect objects other than road cracks or require segmentation for vastly different image types.
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Last pushed
Dec 17, 2022
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