Color-coded affordance label

[mkt1412]

Hi, I'm running demo_img.py with pretrained model and the result looks great. But I cannot find any information on the correspondence betweem color and affordance label. There are in total 12 + 1 (bg) colors in demo_img.py. Is there any way to get that information? Thanks!

background = [200, 222, 250]
c1 = [0,0,205]
c2 = [34,139,34] # cut
c3 = [192,192,128]
c4 = [165,42,42]
c5 = [128,64,128] # grasp
c6 = [204,102,0]
c7 = [184,134,11]
c8 = [0,153,153]
c9 = [0,134,141]
c10 = [184,0,141]
c11 = [184,134,0]
c12 = [184,134,223]

[science-code]

Check the color-codings in the image descriptions inside the paper.

[mkt1412]

Check the color-codings in the image descriptions inside the paper.

Thanks for the reply. In demo_img.py, there are 12 categories, but inside the paper there are only 9. Am I missing something?