File size: 1,356 Bytes
858b392 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
from tensorflow.keras.models import load_model
from scripts.utilities import (
greedy_generator,
beam_search_generator,
extract_image_features,
inception_v3_model,
)
# Load the saved model, specifying custom objects
loaded_caption_model = load_model('models/caption_model.keras')
def predict_caption(image_path):
"""
Predicts a caption for a given image.
Args:
image_path (str): The path to the image file.
Returns:
str: The generated caption.
"""
# Preprocess the image
image_features = extract_image_features(inception_v3_model,image_path)
# Generate caption using the greedy search method (assuming greedy_generator is defined)
# If you want to use beam search, call beam_search_generator instead.
greedy_caption = greedy_generator(image_features)
beam_caption = beam_search_generator(image_features)
return greedy_caption,beam_caption
# Example usage:
if __name__ == "__main__":
image_path_to_predict = 'examples\ElleVet_Peny_92-1024x717.jpg' # Replace with your image path
generated_caption = predict_caption(image_path_to_predict)
print("Predicted Caption:", generated_caption)
#predicted outputs: Predicted Caption: a basketball player in a white uniform is playing a game ,Predicted Caption: a brown dog is playing with a red ball in its mouth
|