tf.keras.utils.load_img
Loads an image into PIL format.
tf.keras.utils.load_img(
path,
grayscale=False,
color_mode='rgb',
target_size=None,
interpolation='nearest',
keep_aspect_ratio=False
)
Usage:
image = tf.keras.preprocessing.image.load_img(image_path)
input_arr = tf.keras.preprocessing.image.img_to_array(image)
input_arr = np.array([input_arr]) # Convert single image to a batch.
predictions = model.predict(input_arr)
Args |
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. |
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. |
Returns |
A PIL Image instance. |
Raises |
ImportError |
if PIL is not available. |
ValueError |
if interpolation method is not supported. |