Hi,
I try to train the net on my own data. After 200 000 iterations the detection is really good (good bounding box and right label). Nevertheless with demo_img.py no masks are shown but only the background color. I checked the .sm files and also adjusted the affordance number in the .prototxt. What else could be the mistake?
Hi, I try to train the net on my own data. After 200 000 iterations the detection is really good (good bounding box and right label). Nevertheless with demo_img.py no masks are shown but only the background color. I checked the .sm files and also adjusted the affordance number in the .prototxt. What else could be the mistake?