Hey,I read your paper and implemented it using tensorflow,and after train,I have a question.That is,during test,if I don't know the scale and center of an image(the person maybe in the center,maybe not),what if I just resize a input image to 256x256 directly without scale and center information,and then do prediction?Would the result be bad? Do you have had a try?And if so,is there anyway to get a good result without scale and center?
Hey,I read your paper and implemented it using tensorflow,and after train,I have a question.That is,during test,if I don't know the scale and center of an image(the person maybe in the center,maybe not),what if I just resize a input image to 256x256 directly without scale and center information,and then do prediction?Would the result be bad? Do you have had a try?And if so,is there anyway to get a good result without scale and center?