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Hi Tejas , Thanks for sharing your work. It's great. I am working on the same topic of Driver drowsiness detection.
My dataset has 25fps and labeling of drowsy or alert is done in every 2 minutes.I want to stick to a window size of 25.
Which of the below 2 methods is a better way of sampling data??
Should I consider the sequential frames from 119sec-120sec for classification ?? OR
Should I consider every 120th frame(every 5th second) for classifying drowsy or alert??
I see that your input has a window size of 26. So where these frames collected sequentially or after regular intervals of time?
The text was updated successfully, but these errors were encountered:
Hello Tejas,
I would like to know which is the corresponding folder for the eye_detection_database(inception V3 model).
Or could you please guide me for the same.
Hi Tejas , Thanks for sharing your work. It's great. I am working on the same topic of Driver drowsiness detection.
My dataset has 25fps and labeling of drowsy or alert is done in every 2 minutes.I want to stick to a window size of 25.
Which of the below 2 methods is a better way of sampling data??
Should I consider the sequential frames from 119sec-120sec for classification ?? OR
Should I consider every 120th frame(every 5th second) for classifying drowsy or alert??
I see that your input has a window size of 26. So where these frames collected sequentially or after regular intervals of time?
The text was updated successfully, but these errors were encountered: