Loads an image into PIL format.
tf.keras.preprocessing.image.load_img(
path, grayscale=False, color_mode='rgb', target_size=None,
interpolation='nearest'
)
Used in the notebooks
| Used in the guide |
Used in the tutorials |
|
|
|
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.
|
登录
TensorFlow 1 version
View source on GitHub