https://github.com/chenzhaiyu/unet
U-Net for RGB Semantic Segmentation
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (5.4%) to scientific vocabulary
Keywords
rgb
segmentation
unet
Last synced: 7 months ago
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Repository
U-Net for RGB Semantic Segmentation
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
rgb
segmentation
unet
Created over 6 years ago
· Last pushed over 6 years ago
Metadata Files
Readme
README.md
U-Net for RGB Semantic Segmentation
Introduction
More details of U-Net architecture can be found on U-Net: Convolutional Networks for Biomedical Image Segmentation. The code was derived from UNet with additional supprt for RGB images.
Dependencies
The following dependencies are needed:
- Numpy
- Tensorflow-gpu
- Keras
- Scikit-image
Usage
- Install dependencies:
conda env create -f env.yml
- Configure paths and parameters with config.py
- Train the model with train.py
- Test the trained model with test.py
Results
Owner
- Name: Zhaiyu Chen
- Login: chenzhaiyu
- Kind: user
- Location: Munich, Germany
- Company: Technical University of Munich
- Website: chenzhaiyu.com
- Repositories: 32
- Profile: https://github.com/chenzhaiyu
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Last synced: 12 months ago
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