image_load¶

paddle.vision. image_load ( path, backend=None ) [source]

Load an image.

Parameters

path (str) – Path of the image.
backend (str, optional) – The image decoding backend type. Options are cv2, pil, None. If backend is None, the global _imread_backend specified by paddle.vision.set_image_backend will be used. Default: None.

Returns

Loaded image.

Return type

PIL.Image or np.array

Examples

           import numpy as np
from PIL import Image
from paddle.vision import image_load, set_image_backend

fake_img = Image.fromarray((np.random.random((32, 32, 3)) * 255).astype('uint8'))

path = 'temp.png'
fake_img.save(path)

set_image_backend('pil')

pil_img = image_load(path).convert('RGB')

# should be PIL.Image.Image
print(type(pil_img))

# use opencv as backend
# set_image_backend('cv2')

# np_img = image_load(path)
# # should get numpy.ndarray
# print(type(np_img))

          