to_grayscale¶

paddle.vision.transforms. to_grayscale ( img, num_output_channels=1 ) [source]

Converts image to grayscale version of image.

Parameters

img (PIL.Image|np.array) – Image to be converted to grayscale.

Returns

Grayscale version of the image.

if num_output_channels = 1 : returned image is single channel

if num_output_channels = 3 : returned image is 3 channel with r = g = b

Return type

PIL.Image or np.array

Examples

import numpy as np
from PIL import Image
from paddle.vision.transforms import functional as F

fake_img = (np.random.rand(256, 300, 3) * 255.).astype('uint8')

fake_img = Image.fromarray(fake_img)

gray_img = F.to_grayscale(fake_img)
print(gray_img.size)