Activity_Rec_ML-LSTM
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aminullah6264
about the preprocessing code
I had read your paper, there are three steps for training in the paper, but I didn't find preprocessing code from here. Is the preprocessing part included in the code of the feature_extraction.py or in somewhere that I did not find?
This is only the activity recognition part of the paper, including feature extraction from FlowNet2 and classification using the LSTM model.
Could you release the pre-processing part of the program and mobileNet V2 model(weight) for my reference? thanks
Sorry I did not that mean. I saw preprocessing part in the paper, so I just want to ask whether you could provide the code with preprocessing part or not. If it is not available to provide the code for the preprocessing, Could you tell me the format for the preprocessing output? Thanks.
Sorry for the late reply, currently I am busy with some project deadline and cannot properly document the code. You can find the AnalyzingFeatureMaps.m files for preprocessing algorithms. Please find the Matlab version implementation of the code attached.
Answer: the selected features for connective frames are compared, where the decision is made based on the distance value. You can find the answer to your question in the following part of the paper. [image: image.png]
Code - Copy.zip https://drive.google.com/file/d/19Z_Aa0bSraBjDMW4g_4VrBgzo9e9U2T4/view?usp=drive_web
Regards Amin Ullah Postdoc Researcher at CoRIS Institute, Oregon State University, Corvallis 97331, Oregon, USA Email: @.*** Personal Site: https://sites.google.com/view/aminullah/home
On Mon, Aug 16, 2021 at 10:03 PM t109318123 @.***> wrote:
Sorry I did not that mean. I saw preprocessing part in the paper, so I just want to ask whether you could provide the code with preprocessing part or not. If it is not available to provide the code for the preprocessing, Could you tell me the format for the preprocessing output? Thanks.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/Aminullah6264/Activity_Rec_ML-LSTM/issues/2#issuecomment-899995287, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADUPVC3EELM3FHURQ5VGRVTT5HURZANCNFSM5B55HT4A . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&utm_campaign=notification-email .
Thank you a lot, But I don’t have access to your link to google drive. My email is [email protected] and hope you can allow my access request. have a nice day, and hope everything goes well. ^_^
Access has been given now.
Regards Amin Ullah Postdoc Researcher at CoRIS Institute, Oregon State University, Corvallis 97331, Oregon, USA Email: @.*** Personal Site: https://sites.google.com/view/aminullah/home
On Tue, Aug 17, 2021 at 1:01 AM t109318123 @.***> wrote:
Thank you a lot, But I don’t have access to your link to google drive. My email is @.*** and hope you can allow my access request. have a nice day, and hope everything goes well. ^_^
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/Aminullah6264/Activity_Rec_ML-LSTM/issues/2#issuecomment-900081972, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADUPVC26BHG3HZQHVQE7QSTT5IJPHANCNFSM5B55HT4A . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&utm_campaign=notification-email .