tf.keras.preprocessing.image.load_img

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Loads an image into PIL format.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.preprocessing.image.load_img

tf.keras.preprocessing.image.load_img(
    path, grayscale=False, color_mode='rgb', target_size=None,
    interpolation='nearest'
)

Usage:

image = tf.keras.preprocessing.image.load_img(image_path)
input_arr = keras.preprocessing.image.img_to_array(image)
input_arr = np.array([input_arr])  # Convert single image to a batch.
predictions = model.predict(input_arr)

Arguments
path	Path to image file.
grayscale	DEPRECATED use color_mode="grayscale".
color_mode	One of "grayscale", "rgb", "rgba". Default: "rgb". The desired image format.
target_size	Either None (default to original size) or tuple of ints (img_height, img_width).
interpolation	Interpolation method used to resample the image if the target size is different from that of the loaded image. Supported methods are "nearest", "bilinear", and "bicubic". If PIL version 1.1.3 or newer is installed, "lanczos" is also supported. If PIL version 3.4.0 or newer is installed, "box" and "hamming" are also supported. By default, "nearest" is used.

Returns
A PIL Image instance.

Raises
ImportError	if PIL is not available.
ValueError	if interpolation method is not supported.