TensorFlow ValueError Cannot feed value of shape 64 64 3 for Tensor u Placeholder 0 which has shape 64 64 3

Question

I am new to TensorFlow and machine learning  I am trying to classify two objects a cup and a pendrive  jpeg images   I have trained and exported a model ckpt successfully  Now I am trying to restore the saved model ckpt for prediction  Here is the script    import tensorflow as tf import math import numpy as np from PIL import Image from numpy import array     image parameters IMAGE SIZE   64 IMAGE CHANNELS   3 NUM CLASSES   2  def main        image   np zeros  64  64  3       img   Image open    IMG 0849 JPG        img   img resize  64  64       image   array img  reshape 64 64 3       k   int math ceil IMAGE SIZE   2 0   2 0   2 0   2 0          Store weights for our convolution and fully-connected layers     with tf name scope  weights            weights                   5x5 conv  3 input channel  32 outputs each              wc1   tf Variable tf random normal  5  5  1   IMAGE CHANNELS  32                   5x5 conv  32 inputs  64 outputs              wc2   tf Variable tf random normal  5  5  32  64                   5x5 conv  64 inputs  128 outputs              wc3   tf Variable tf random normal  5  5  64  128                   5x5 conv  128 inputs  256 outputs              wc4   tf Variable tf random normal  5  5  128  256                   fully connected  k   k   256 inputs  1024 outputs              wd1   tf Variable tf random normal  k   k   256  1024                   1024 inputs  2 class labels  prediction               out   tf Variable tf random normal  1024  NUM CLASSES                     Store biases for our convolution and fully-connected layers     with tf name scope  biases            biases                  bc1   tf Variable tf random normal  32                  bc2   tf Variable tf random normal  64                  bc3   tf Variable tf random normal  128                  bc4   tf Variable tf random normal  256                  bd1   tf Variable tf random normal  1024                  out   tf Variable tf random normal  NUM CLASSES                  saver   tf train Saver      with tf Session   as sess         saver restore sess     model ckpt          print     Model Loaded               x    tf placeholder tf float32  shape  None  IMAGE SIZE   IMAGE SIZE   IMAGE CHANNELS          y    tf placeholder tf float32  shape  None  NUM CLASSES          keep prob   tf placeholder tf float32          init   tf initialize all variables           sess run init         my classification   sess run tf argmax y   1   feed dict  x  image          print  Neural Network predicted   my classification 0    for your image    if   name         main          main     When I run the above script for prediction I get the following error   ValueError  Cannot feed value of shape  64  64  3  for Tensor u Placeholder 0   which has shape      64  64  3      What am I doing wrong  And how do I fix the shape of numpy array

User · Accepted Answer

image has a shape of  64 64 3    Your input placeholder  x have a shape of     64 64 3    The problem is that you re feeding the placeholder with a value of a different shape   You have to feed it with a value of  1  64  64  3    a batch of 1 image   Just reshape your image value to a batch with size one   image   array img  reshape 1  64 64 3    P S  the fact that the input placeholder accepts a batch of images  means that you can run predicions for a batch of images in parallel  You can try to read more than 1 image  N images  and than build a batch of N image  using a tensor with shape  N  64 64 3

User · Answer

Powder s comment may go undetected like I missed it so many times   So with the hope of making it more visible  I will re-iterate his point   Sometimes using image   array img  reshape a b c d  will reshape alright but from experience  my kernel crashes every time I try to use the new dimension in an operation  The safest to use is      np expand dims img  axis 0    It works perfect every time  I just can t explain why  This link has a great explanation and examples regarding its usage

[python] TensorFlow ValueError: Cannot feed value of shape (64, 64, 3) for Tensor u'Placeholder:0', which has shape '(?, 64, 64, 3)'

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