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Training with all the frames & anomaly detection

Open santhoshkelathodi opened this issue 6 years ago • 5 comments

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 avatar Sep 28 '18 13:09 santhoshkelathodi

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

santhoshkelathodi avatar Sep 29 '18 15:09 santhoshkelathodi

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?

santhoshkelathodi avatar Sep 29 '18 15:09 santhoshkelathodi

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?

BelivLi avatar May 11 '19 12:05 BelivLi

PLEASE SEND CODE FOR EXTRACTING ALL FRAMES

ronaldosaravana007 avatar Mar 13 '21 10:03 ronaldosaravana007

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]

ronaldosaravana007 avatar Mar 13 '21 11:03 ronaldosaravana007