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
File size: 521 Bytes
2fe10b5 a6feb57 2fe10b5 a6feb57 2fe10b5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"image_processor_type": "EyeCLAHEImageProcessor",
"auto_map": {
"AutoImageProcessor": "image_processing_eye_gpu.EyeCLAHEImageProcessor"
},
"size": 512,
"crop_scale_factor": 1.1,
"clahe_grid_size": 8,
"clahe_clip_limit": 2.0,
"normalization_mode": "imagenet",
"custom_mean": null,
"custom_std": null,
"do_clahe": true,
"do_crop": true,
"min_radius_frac": 0.1,
"max_radius_frac": 0.9,
"allow_overflow": true,
"softmax_temperature": 0.3,
"processor_class": "EyeCLAHEImageProcessor"
}
|