vantage-vision-vv / anomaly-detection-in-surveillance-videos Goto Github PK

Hello
I'm new to programming and I am unable to understand the execution steps to be followed to see the output . Please guide the sequence of execution in order to see the output

Originally posted by @Shiny128 in #3 (comment)

I check the trained model in file model.ckpt.meta using tensorboard. But the model is different from the one in your code and paper.

The model in your code is FC - ReLU - Dropout - FC - Dropout - FC - Sigmoid.
But the trained model is FC - ReLU - Dropout - FC - Sigmoid - Dropout - FC.

The loss function in your paper is

However, you implement it in the following way.

https://github.com/abhay97ps/Anomaly-Detection-in-Surveillance-Videos/blob/4be07aba4a8dda7cea882f33782595622d248d3e/Anomaly_NN.py#L51

https://github.com/abhay97ps/Anomaly-Detection-in-Surveillance-Videos/blob/4be07aba4a8dda7cea882f33782595622d248d3e/Anomaly_NN.py#L66-L77

The is implemented as a placeholder extra and calculated using python float type. Won't it make it impossible to back propagate gradient to extra? And the optimizer only minimizes the .

Shouldn't the be implemented in tensorflow functions rather than pure python?

Hope you are doing fine.
I'm stuck at the feature extraction part. The whole 16 frame/32 segments thing is confusing me. could you please elaborate a bit more on that?

More specifically, if we are supposed to take 32 individual segments that are 16 frames each. from which part of the video will we take those segments from?

any help regarding this will be really appreciated.

Code is missing

The epoch_loss initialized to 0 and never updated after then, the output of the program is always as follow. The loss is always 0.

Epoch 0 completed out of 10 loss: 0
Epoch 1 completed out of 10 loss: 0
Epoch 2 completed out of 10 loss: 0
Epoch 3 completed out of 10 loss: 0
Epoch 4 completed out of 10 loss: 0
Epoch 5 completed out of 10 loss: 0
Epoch 6 completed out of 10 loss: 0
Epoch 7 completed out of 10 loss: 0
Epoch 8 completed out of 10 loss: 0
Epoch 9 completed out of 10 loss: 0

https://github.com/abhay97ps/Anomaly-Detection-in-Surveillance-Videos/blob/4be07aba4a8dda7cea882f33782595622d248d3e/Anomaly_NN.py#L58-L79

Seems like a file is missing.
If you can help me with that, it would be great

Hai,

Which kind of error is this and how can resolve it ?

Thanks

Hello!! You did great work on anomaly detection. Could you please provide me with training annotation that you used in this code and kindly also tell me that how you label frames in your code. Waiting for your reply

I try to download UCF-Crime datasets,but it is forbidden,"You don't have permission to access /cchen/UCF_Crimes.tar.gz on this server".Can I download the datasets in another way?

The script in unable to convert strings to float of my fc6-1 feature files in the following line:

norm = normalize(np.array(map(float,open(os.path.join(dirpath, fl)).readlines()[0].strip().split(','))).reshape(1,-1),norm='l2')

The error is specifically in the map function, it states, cannot convert strings to float.
Any help will be appreciated!

Can you provide details on how to implement your project??

Can you elaborate on the steps to run the project and dependencies needed.

Since the training can be done on the extracted features alone. Are the extracted features available online? Or if you are having them, do you mind uploading them. Also, what is the approximate size of the dataset after feature extraction?

Hi! I'm new to video processing. Would you please give me more details about how to run this code?

Thank you so much for your help!!!!

When I test this code, I should some details about the environments.
For example, the operating system, the versions of python.
And what library are you use, Keras or others? And the version of them.

Who found this data set?can you send it .

Thanks for your nice work. I want to know the final result comparing with the original paper.
Look forwards for your reply.

Thanks.