decode_jpeg¶

paddle.vision.ops. decode_jpeg ( x, mode='unchanged', name=None ) [source]

Decodes a JPEG image into a 3 dimensional RGB Tensor or 1 dimensional Gray Tensor. Optionally converts the image to the desired format. The values of the output tensor are uint8 between 0 and 255.

Parameters

x (Tensor) – A one dimensional uint8 tensor containing the raw bytes of the JPEG image.
mode (str, optional) – The read mode used for optionally converting the image. Default: ‘unchanged’.
name (str, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.

Returns

A decoded image tensor with shape (imge_channels, image_height, image_width)

Return type

Tensor

Examples

           >>> 
>>> import cv2
>>> import numpy as np
>>> import paddle
>>> paddle.device.set_device('gpu')

>>> fake_img = (np.random.random(
...             (400, 300, 3)) * 255).astype('uint8')
>>> cv2.imwrite('fake.jpg', fake_img)
>>> img_bytes = paddle.vision.ops.read_file('fake.jpg')
>>> img = paddle.vision.ops.decode_jpeg(img_bytes)
>>> print(img.shape)
[3, 400, 300]

          