What does “color ordering” mean when used with distorted inputs with inception model
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I have been looking for pre-processing techniques of input images. After looking into the implementation of the inception model at: https://github.com/awslabs/deeplearning-benchmark/blob/master/tensorflow/inception/inception/image_processing.py#L164, I found that they have used color_ordering
parameter which could be 0 or 1. What does color ordering mean in this context?
tensorflow image-preprocessing data-augmentation
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I have been looking for pre-processing techniques of input images. After looking into the implementation of the inception model at: https://github.com/awslabs/deeplearning-benchmark/blob/master/tensorflow/inception/inception/image_processing.py#L164, I found that they have used color_ordering
parameter which could be 0 or 1. What does color ordering mean in this context?
tensorflow image-preprocessing data-augmentation
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have been looking for pre-processing techniques of input images. After looking into the implementation of the inception model at: https://github.com/awslabs/deeplearning-benchmark/blob/master/tensorflow/inception/inception/image_processing.py#L164, I found that they have used color_ordering
parameter which could be 0 or 1. What does color ordering mean in this context?
tensorflow image-preprocessing data-augmentation
I have been looking for pre-processing techniques of input images. After looking into the implementation of the inception model at: https://github.com/awslabs/deeplearning-benchmark/blob/master/tensorflow/inception/inception/image_processing.py#L164, I found that they have used color_ordering
parameter which could be 0 or 1. What does color ordering mean in this context?
tensorflow image-preprocessing data-augmentation
tensorflow image-preprocessing data-augmentation
edited Nov 11 at 15:03
jonrsharpe
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76.3k10100206
asked Nov 11 at 15:01
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