Upload utils.py
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utils.py
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# utils.py
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# ECG Condition Classifier - Image Preprocessing Utilities
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from PIL import Image
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import numpy as np
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# Target input size expected by ViT models
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TARGET_SIZE = (224, 224)
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def load_and_preprocess(image):
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"""
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Accepts a PIL Image or file path.
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Returns a clean, resized PIL Image ready for the classifier pipeline.
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"""
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# If a file path was passed instead of a PIL image, open it
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if isinstance(image, str):
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image = Image.open(image)
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# Convert to RGB - handles grayscale ECGs and RGBA screenshots
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if image.mode != "RGB":
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image = image.convert("RGB")
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# Resize to ViT expected input dimensions
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image = image.resize(TARGET_SIZE, Image.LANCZOS)
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return image
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def validate_image(image):
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"""
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Basic sanity checks on uploaded image.
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Returns (is_valid: bool, message: str)
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"""
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if image is None:
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return False, "No image provided. Please upload an ECG image."
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# Check minimum resolution - too small likely isn't a real ECG
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if hasattr(image, 'size'):
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w, h = image.size
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if w < 50 or h < 50:
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return False, "Image resolution too low. Please upload a clearer ECG image."
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return True, "OK"
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def get_image_info(image):
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"""
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Returns a simple string summary of the uploaded image.
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Useful for debugging in the Gradio interface.
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"""
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if image is None:
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return "No image loaded."
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w, h = image.size
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return f"Image loaded: {w}x{h}px | Mode: {image.mode}"
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