| 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}') |
|
|
