def preprocess_image(image_path):
"""
Loads an image into a Numpy array
Args:
image_path: Path or file object.
Returns:
Numpy array
"""
logging.debug('Processing: %s', image_path)
img = crop2square(image.load_img(image_path)).resize((224, 224))
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
x = deepseenet_risk_factor.preprocess_input(x)
return x
def preprocess_image(image_path, target_size=(224, 224)):
"""
Loads an image into a Numpy array
Args:
image_path: Path or file object.
model_name: only 'inceptionv3' supported
target_size: 224x224 by default
Returns:
Numpy array
"""
logging.info('Processing: %s', image_path)
img = crop2square(image.load_img(image_path)).resize(target_size)
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
return x
def preprocess_image(image_path):
img = crop2square(image.load_img(image_path)).resize((224, 224))
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
x = deepseenet_risk_factor.preprocess_input(x)
return x