KlemenSkrlj
The models I am trying to use are text-detection-0003 and text-recognition-resnet-fc (fp16) from the openvino model zoo. I do convert them into blob using the Luxonis' blobconvertor tool. I make sure to choose the openvino version as 2021.2 which is the same as that in the example script. The bellow is what gets printed on the terminal and then the script terminates.
Stack trace (most recent call last):
#15 Object "", at 00007FFCBCEFE8D7, in BaseThreadInitThunk
#14 Object "", at 00007FFBD2CC94D2, in PyInit_depthai
#13 Object "", at 00007FFBD2B6B8EC, in PyInit_depthai
#12 Object "", at 00007FFBD2C28798, in PyInit_depthai
#11 Object "", at 00007FFBD2CAF1E3, in PyInit_depthai
#10 Object "", at 00007FFCBBE1933A, in RaiseException
#9 Object "", at 00007FFCBE7F9336, in RtlRaiseException
#8 Object "", at 00007FFCBE7FA328, in RtlWow64GetCurrentCpuArea
#7 Object "", at 00007FFCBE9206FF, in _chkstk
#6 Object "", at 00007FFBD2CAD0A0, in PyInit_depthai
#5 Object "", at 00007FFBD2CAE549, in PyInit_depthai
#4 Object "", at 00007FFBD2CB1865, in PyInit_depthai
#3 Object "", at 00007FFBD2CB1800, in PyInit_depthai
#2 Object "", at 00007FFBD2CB0B62, in PyInit_depthai
#1 Object "", at 00007FFBD2CC9105, in PyInit_depthai
#0 Object "", at 00007FFBD2CC8CE4, in PyInit_depthai
If I go back to the original example code the script runs and i am able to see live detections but they are great in case of my applications. Thus i want to test with deeper open source models.
