I want to use vgg16 for grayscale images with one channel
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Hi Guyz.......i need to use CNN VGG16 for training my image samples but my images are gray scale and the input layer of VGG16 alexnet and VGG19 has 3 channels what can i do to resolve this issue. Please let me know some one.
Thanks,
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abhi abhi
2020년 12월 28일
vgg16 and vgg19 using deep learning how can i design this architecture please help me
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Darshan Ramakant Bhat
2017년 4월 17일
Since VGG16 is a pretrained model its input configuration cannot be changed.You can copy the first Chanel values to other two channel and create a 3 channel image out of your gray scale image.
rgbImage = cat(3, grayImage, grayImage, grayImage);
Give this image as the input to VGG16. I hope this will workout for you.
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Image Analyst
2017년 11월 19일
It simply allocates more memory for rgbImage. It should be extremely fast and the computation time should not really be a concern.
Modar Alfadly
2018년 5월 18일
You can do the same as suggested more efficiently by summing up the channels of the kernels of the first convolutional layer.
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