Update app.py
Browse files
app.py
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import tensorflow as tf
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import os
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# Avoid OOM errors by setting GPU Memory Consumption Growth
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gpus = tf.config.experimental.list_physical_devices('GPU')
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for gpu in gpus:
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tf.config.experimental.set_memory_growth(gpu, True)
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tf.config.list_physical_devices('GPU')
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import cv2
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import imghdr
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for image_class in os.listdir(data_dir):
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try:
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img = cv2.imread(image_path)
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tip = imghdr.what(image_path)
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if tip not in image_exts:
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print('
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os.remove(image_path)
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except Exception as e:
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print('
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import tensorflow as tf
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import os
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import cv2
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import imghdr
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from PIL import Image
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# Configure GPU (if available)
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gpus = tf.config.list_physical_devices('GPU')
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if gpus:
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for gpu in gpus:
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tf.config.experimental.set_memory_growth(gpu, True)
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print("Available GPUs:", tf.config.list_physical_devices('GPU'))
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# Allowed image extensions
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image_exts = ['jpeg', 'jpg', 'bmp', 'png']
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# Root data directory
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data_dir = 'data'
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# Walk through directory and clean up images
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for image_class in os.listdir(data_dir):
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class_path = os.path.join(data_dir, image_class)
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for image in os.listdir(class_path):
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image_path = os.path.join(class_path, image)
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try:
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img = cv2.imread(image_path)
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if img is None:
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print('Unreadable image (OpenCV):', image_path)
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os.remove(image_path)
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continue
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tip = imghdr.what(image_path)
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if tip not in image_exts:
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print('Unsupported image type:', image_path)
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os.remove(image_path)
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continue
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# Additional corruption check using PIL
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try:
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with Image.open(image_path) as im:
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im.verify()
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except Exception as pil_err:
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print('Corrupted image:', image_path)
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os.remove(image_path)
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except Exception as e:
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print('Error processing image:', image_path)
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print(str(e))
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os.remove(image_path)
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