Traffic-Signs | Second Project of the Udacity Self | Machine Learning library
kandi X-RAY | Traffic-Signs Summary
kandi X-RAY | Traffic-Signs Summary
In this project, you will use what you've learned about deep neural networks and convolutional neural networks to classify traffic signs. You will train a model so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, you will then test your model program on new images of traffic signs you find on the web, or, if you're feeling adventurous pictures of traffic signs you find locally!.
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QUESTION
I have an array of images that I want to feed to TensorFlow. I want to center the images around the mean and standardize the standard deviation. I followed this answer but I cannot seem to get the mean to zero. I am learning numpy so maybe I am missing something simple.
My current code is:
...ANSWER
Answered 2017-Jan-14 at 20:10The main issue is that the array is of type uint8 (integers 0..255). This can't really be centered or normalized without changing the type of the array. Like this:
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