bfortuner/pytorch_tiramisu
FC-DenseNet in PyTorch for Semantic Segmentation
This project helps computer vision researchers and deep learning practitioners experiment with a high-performance image segmentation model. It takes an input image and outputs a pixel-level classification, effectively outlining different objects or regions within the image. It's designed for those working on advanced image analysis tasks.
305 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher specifically working on semantic segmentation of images and want to replicate or build upon results from the 'One Hundred Layers Tiramisu' paper.
Not ideal if you need a plug-and-play solution for general image classification or object detection, or if you are not comfortable with deep learning frameworks and datasets.
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305
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65
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Jupyter Notebook
License
MIT
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Last pushed
Feb 02, 2019
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