Thanks for the instructional video and all worked as explained. The image output is nice but now I would like to process the segments highlighted and do additional processing of these segments based on other details and positional relationships relative to other segments. def everything_prompt(self): if self.results == None: return [] return self.results[0].masks.data With ann is the everything_prompt and the below tensor array. Should be 4 but has 6 4 segments are highlighted in output but 6 tensors show in the array. The segment array data does not seem to correlate to the original image pixel coordinates from the data I see, but obviously the plot handled the conversion in the output image. tensor([[7.8642e+02, 7.7507e+01, 9.9292e+02, 4.7635e+02, 9.1396e-01, 0.0000e+00], [4.0099e+02, 7.8259e+01, 6.0955e+02, 4.7675e+02, 9.0963e-01, 0.0000e+00], [0.0000e+00, 7.8047e+01, 2.2261e+02, 4.7691e+02, 8.4697e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 1.0800e+03, 5.4800e+02, 7.3205e-01, 0.0000e+00], [2.9916e+01, 8.8821e+01, 2.0837e+02, 4.6286e+02, 6.0771e-01, 0.0000e+00], [7.9572e+02, 8.4327e+01, 9.8209e+02, 4.7095e+02, 4.5648e-01, 0.0000e+00]], device='cuda:0')
