DarshitDesai

Hi @DarshitDesai
I'll test this tomorrow and get back to you.

Thanks,
Jaka

Hi @DarshitDesai
This means the pipeline will use YoloDetectionNetwork node for runnning the model. This means the results will automatically be decoded (yolo detections models are always decoded in a similar way) to output detections bbox, confidence, class, etc..

Thanks,
Jaka

Hi @DarshitDesai
For some reason the SDK forces NeuralNetwork node instead of yolo. I think you should be able to explicitly set the type when using create_nn.

Thanks,
Jaka

Hi @DarshitDesai
Here are the schematics. Shouldn't be to difficult by the looks of it.

Thanks,
Jaka

Hi @DarshitDesai
That's fine then. I also tested your script on the RPI4 with 64bit luxonis image. The windows work fine, so it likely has something to do with your OS configuration.

Thanks,
Jaka

Hi @DarshitDesai
I remember older versions of SDK having issues displaying the windows. Which version are you running? If below 1.12, try upgrading, see if it fixes the issue.

Thanks,
Jaka

Hi @DarshitDesai
Should be ok. The shave count depends on your pipeline. DepthAI will notify you if a different shave count could benefit you.

Thanks,
Jaka

Hi @DarshitDesai
All models directly used by the SDK are available in depthai model zoo. You can use https://blobconverter.luxonis.com/ (depthai model zoo option) to convert and download them. Alternatively, you can use the blobconverter python library that does the same thing programmatically through python.

Thanks,
Jaka