sniklaus/pytorch-hed
a reimplementation of Holistically-Nested Edge Detection in PyTorch
This project helps computer vision researchers and practitioners accurately detect all edges within an image. You provide an input image, and it outputs a new image highlighting the detected edges. This is useful for anyone working on tasks like object recognition, image segmentation, or scene understanding.
521 stars. No commits in the last 6 months.
Use this if you need to precisely identify boundaries and contours in your images for further analysis or processing.
Not ideal if you need an exact replication of the original Caffe-based HED implementation, as this version has slight differences in performance.
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521
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Language
Python
License
GPL-3.0
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Last pushed
Jan 06, 2025
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