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Why there is nyu_bbx.pkl? #9
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Hi, the bounding box is computed by a hand detector, which is based on a 2D hour-glass estimation. |
Is the hand detector in this release? As far as i understand, you mean first train a hourglass net to predict 2d cordinate of all joint points, and then compute a bbox to surround all joint points? Is this part mentioned on your paper and considered in the running speed? |
this part is not included but is very simple to implement. You could also use the deep prior++ method which gives more accurate result according to my previous experiment. The time for this part is not included into the running time calculation. |
Ok, thank you for the reply |
thank you too for the valuble suggestions. I'll later clean the code again. Sorry for the inconvenience brought by. |
I found you use nyu_bbx when testing on NYU dataset, which means you use 'ground truth' hand location data when running test. I think it should be predict by network itself instead of given by you.
So how did you get nyu_bbx.pkl in your experiment? Is it computed from ground truth xyz labels or predicted by another method which can compute bbx of hand location?
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