xception test #TensorFlow #Python

xception.py

import numpy as np
import tensorflow as tf

model=tf.keras.applications.xception.Xception(include_top=True,
                                        weights='imagenet',
                                        input_tensor=None,
                                        input_shape=None,
                                        pooling=None,
                                        classes=1000)

image_path="../test_data/bee.jpg"
image = tf.keras.preprocessing.image.load_img(image_path, target_size=(299, 299))
x = tf.keras.preprocessing.image.img_to_array(image)
x = np.expand_dims(x, axis=0)
x =  tf.keras.applications.xception.preprocess_input(x)
preds = model.predict(x)
print('Predicted:', tf.keras.applications.xception.decode_predictions(preds, top=3))