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| import os | |
| import tensorflow as tf | |
| from tensorflow.keras.preprocessing.image import ImageDataGenerator | |
| from tensorflow.keras.models import load_model | |
| base_dir = 'data/chest_xray' | |
| val_dir = os.path.join(base_dir, 'val') | |
| val_datagen = ImageDataGenerator(rescale=1./255) | |
| val_generator = val_datagen.flow_from_directory( | |
| val_dir, | |
| target_size=(150, 150), | |
| batch_size=32, | |
| class_mode='binary' | |
| ) | |
| model = load_model('xray_image_classifier_model.keras') | |
| loss, accuracy = model.evaluate(val_generator) | |
| print(f'Validation Loss: {loss:.4f}') | |
| print(f'Validation Accuracy: {accuracy:.4f}') | |