Transformers
image-processing
medical-imaging
fundus
retinal-imaging
diabetic-retinopathy
ophthalmology
clahe
preprocessing
Instructions to use iszt/eye-clahe-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iszt/eye-clahe-processor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iszt/eye-clahe-processor", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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# EyeCLAHEImageProcessor
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A GPU-native Hugging Face ImageProcessor for **Color Fundus Photography (CFP)** images, designed for diabetic retinopathy detection and other retinal imaging tasks.
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---
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library_name: transformers
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tags:
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- image-processing
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- medical-imaging
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- fundus
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- retinal-imaging
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- diabetic-retinopathy
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- ophthalmology
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- clahe
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- preprocessing
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license: apache-2.0
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pipeline_tag: image-feature-extraction
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---
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# EyeCLAHEImageProcessor
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A GPU-native Hugging Face ImageProcessor for **Color Fundus Photography (CFP)** images, designed for diabetic retinopathy detection and other retinal imaging tasks.
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