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Hi. I have noticed that the sample models were all caffe models for image classification, with "prob" as the output. I tried to launch my model of stereo matching on NCS but it doesn't work and give me the following traceback without any other error message:
File "../../src/./mvNCCheck.py", line 117, in
File "../../src/./mvNCCheck.py", line 91, in check_net
File "../../src/./Controllers/CaffeParser.py", line 919, in parse_caffe
I wonder whether the toolkit support models with images as output (like stereo matching / image enhancement / super resolution)?
Whether it support models with images of more than 3 channels as input (like a 16 bit depth image)?
Plus, is there any way to see the code for CaffeParser.py so that I can debug? Now I can only see the pyc file but not the original py file.