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?










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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?










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      up vote
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      down vote

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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?










      share|improve this question















      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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      edited Nov 11 at 15:03









      jonrsharpe

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      asked Nov 11 at 15:01









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