tf.keras.utils.load_img

Loads an image into PIL format.

tf.keras.utils.load_img(
    path,
    color_mode='rgb',
    target_size=None,
    interpolation='nearest',
    keep_aspect_ratio=False
)

Used in the notebooks

Used in the guide Used in the tutorials

Example:

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

path Path to image file.
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.
keep_aspect_ratio Boolean, whether to resize images to a target size without aspect ratio distortion. The image is cropped in the center with target aspect ratio before resizing.

A PIL Image instance.