Abnormal_Event_Detection
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Training with all the frames & anomaly detection
Assuming this is the implementation of the paper "Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder"
- 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
- 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
I have created a code for extracting all the frames from the train and test. Can it be uploaded here?
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?
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?
PLEASE SEND CODE FOR EXTRACTING ALL FRAMES
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]