Closed wugh closed 5 years ago
Hi, There may be two reasons for that: 1. SSL tests only use one scale while we use 7 scales. You can change the scale list to [1] in here to speed up. 2. SSL uses the framework of Caffe which may be faster than Pytorch.
Thanks, I will try the scale first, I also see some related section in your paper. But there is no related experiments to evaluate the performance if we inference without multi scale.
Hi, the reason why there are no experiments without multi-scale is that previous work reported the results with multi-scale.
Hi, Gaoyiminggithub
I'm look for a good human semantic parser recently I found serval projects.
Because the
LIP_SSL
didn't annotated the neck part of human, but your code can handle this. But why the speed of Graphonomy is much more slower thanLIP_SSL
, is there anyway I can speed up.