[英]Is there a way to convert an image from grayscale to RGB in “pure” Keras
I'd like to know if there is a way to convert an image from grayscale to RGB in Python using "pure" Keras (ie without importing Tensorflow). 我想知道是否有办法使用“纯”Keras将图像从灰度转换为RGB(即不导入Tensorflow)。
What I do now is: 我现在做的是:
x_rgb = tf.image.grayscale_to_rgb(x_grayscale)
Maybe you would consider this "cheating" (as keras.backend
may end up calling Tensorflow behind the scene), but here's a solution: 也许你会认为这是“作弊”(因为
keras.backend
最终可能会在幕后调用Tensorflow),但这是一个解决方案:
from keras import backend as K
def grayscale_to_rgb(images, channel_axis=-1):
images= K.expand_dims(images, axis=channel_axis)
tiling = [1] * 4 # 4 dimensions: B, H, W, C
tiling[channel_axis] *= 3
images= K.tile(images, tiling)
return images
(supposing your grayscale images have a shape B x H x W
and not eg B x H x W x 1
; otherwise just remove the first line of the function) (假设您的灰度图像的形状为
B x H x W
而不是例如B x H x W x 1
;否则只需删除函数的第一行)
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