Update README.md
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README.md
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@@ -59,7 +59,6 @@ def add_noise(img, noise_type="gaussian"):
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return np.clip(noisy_img, 0., 1.)
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def predict_denoised_image(autoencoder, image):
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# Preprocesar imagen (redimensionar a 256x256, normalizar a [0, 1])
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img_resized = tf.image.resize(image, (256, 256)) / 255.0
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img_array = np.expand_dims(img_resized, axis=0)
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return np.clip(noisy_img, 0., 1.)
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def predict_denoised_image(autoencoder, image):
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img_resized = tf.image.resize(image, (256, 256)) / 255.0
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img_array = np.expand_dims(img_resized, axis=0)
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