hyf015 / egocentric-gaze-prediction

Code for the paper "Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition"
62 stars 18 forks source link

We want to know some parameters of dense_flow. #8

Closed kazucmpt closed 5 years ago

kazucmpt commented 5 years ago

To generate input image files, you used dense_flow. What were your parameters b and t?

hyf015 commented 5 years ago

You can choose b and t by yourself. The important thing is to normalize optical flow images into between 0 and 1.

kazucmpt commented 5 years ago

We want to reproduce your experimental result. We know we can choose b and t by ourselves as you said but we would like to know your parameter values.

hyf015 commented 5 years ago

Sure, we use default parameters as dense flow.

kazucmpt commented 5 years ago

Which branch of dense flow did you use, master or opencv3-1?

The default values of the parameters are different.

hyf015 commented 5 years ago

I used the master branch.

kazucmpt notifications@github.com于2018年10月2日 周二下午4:21写道:

Which branch of dense flow did you use, master or opencv3-1?

The default values of the parameters are different.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/hyf015/egocentric-gaze-prediction/issues/8#issuecomment-426174220, or mute the thread https://github.com/notifications/unsubscribe-auth/AVSGeMAGVaifnlt-W_PggaERj-LNKP8Pks5ugxQLgaJpZM4W-Edh .

kazucmpt commented 5 years ago

According to extract_flow_gpu.cpp, the default values of the parameters of the master branch are t=0 and b=15. But in README.md of the master branch of dense flow,

Usage ./extract_gpu -f test.avi -x tmp/flow_x -y tmp/flow_y -i tmp/image -b 20 -t 1 -d 0 -s 1 -o dir

You said you used the defult values. That means t=0 and b=15, right?

Thank you.

hyf015 commented 5 years ago

Sorry for the confusion. I mean b is 20 and t is 1.

kazucmpt notifications@github.com于2018年10月2日 周二下午4:30写道:

According to extract_flow_gpu.cpp, the default values of the parameters of the master branch are t=0 and b=15. But in README.md of the master branch of dense flow,

Usage ./extract_gpu -f test.avi -x tmp/flow_x -y tmp/flow_y -i tmp/image -b 20 -t 1 -d 0 -s 1 -o dir

You said you used the defult values. That means t=0 and b=15, right?

Thank you.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/hyf015/egocentric-gaze-prediction/issues/8#issuecomment-426176288, or mute the thread https://github.com/notifications/unsubscribe-auth/AVSGeFpNzPYX6dfBRWi2YK5eP58bSn10ks5ugxYOgaJpZM4W-Edh .

kazucmpt commented 5 years ago

Thank you very much.

How many hours did you need to calculate optical flow by using GPU? We had started to calculate the optical flow of GTEA dataset plus by using dense flow a few days ago. But the calculation is not finished yet. We use GTX-1070.

It seems that it takes more than 3 hours in each avi file.

How about you? Did it take so many hours?

hyf015 commented 5 years ago

Yes, it took a few days I remember...

kazucmpt commented 5 years ago

Thank you very much. Your answers always help us.