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Training with all the frames & anomaly detection #12

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santhoshkelathodi opened this issue Sep 28, 2018 · 5 comments
Open

Training with all the frames & anomaly detection #12

santhoshkelathodi opened this issue Sep 28, 2018 · 5 comments

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@santhoshkelathodi
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Assuming this is the implementation of the paper "Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder"

  1. I think all frames need to be used for training than sampled frames.
    The parameter fps does not reflect the correct operation. What if I want to sample with the parameter value less than 1
  2. As I understand even for testing the processor.py needs to be run to create the test.npy file. The process may be mentioned in the readme
@santhoshkelathodi
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I have created a code for extracting all the frames from the train and test. Can it be uploaded here?

@santhoshkelathodi
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I have 2 questions:
1)I could not understand why the step:
#Reshape to (227,227,batch_size)
imagestore.resize(b,c,a) is required
2) in the training batch size is fixed as 1. What is the influence of changing it to higher values?

@BelivLi
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BelivLi commented May 11, 2019

can you upload the code for extracting all the frames? thanks
And i have one question how to generate the test.npy file,Is not changing the training section in the processor.py file to testing?

@ronaldosaravana007
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PLEASE SEND CODE FOR EXTRACTING ALL FRAMES

@ronaldosaravana007
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I have created a code for extracting all the frames from the train and test. Can it be uploaded here?

BRO send me that code in my mail
[email protected]

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3 participants