show_and_tell.tensorflow
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Question about different results for the same picture
Hi
I downloaded the code and it worked very well, nice stuff. Just one question, when testing a same picture I got different results from time to time. Is that just because of the weights' float-point rounding ?
Thank you.
I have the same problem while running test_tf(). The output of VGG is different from time to time. Any suggestion?
Same here. I first suspected the problem is due to random initialized parameters of textual and image embeddings, however as they are loaded from the model-72, the only reason for different results are due to different VGG activations.
I'm wondering if this is because of the dropout layers? Is it still working at testing stage?
Yes, this is probably due to dropout dropping some random connections at test time, which is connected to fc-7 layer (previous layers do not produce random activations) Is there any way to shut it down at test time?
Hi ImportError: This module is deprecated. Use tf.nn.rnn_cell instead. i use from tensorflow.python.ops import rnn_cell instead from tensorflow.models.rnn import rnn_cell but ValueError: setting an array element with a sequence.
Hi, I think the result is different, that is normal. It pick the top scores result by random, not only 1 result