weird results runing evaluate_parsing_JPPNet-s2.py

[ChenDRAG]

I ran the script below using the model provided evaluate_parsing_JPPNet-s2.py

and get lots of results like this (nearly happen all the time if the person don't face directly at the camera). Do you have any idea why this happens?

[ChenDRAG]

I use picture of size 1080*1080 does picture size affect your results? or you resize the picture automatically so it doesn't matter?

[Engineering-Course]

The input size doesn't matter. I think the method fails for this kind of images when the person doesn't face directly at the camera. Maybe you can try the more robust model PGN

[alexlao]

Did you have to make any changes in the code for the model to work like this? I downloaded the weights and stuff in hopes of it working, but my results are not good - #47