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.utils.load_img(image_path)
input_arr = tf.keras.utils.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.
|