XLinkOut' '221 Error

Kialo

Hello all! I've only recently received the OAK-1 for a research project. Like a kid at Christmas, I've been super excited to try it out with a custom-trained model.

I followed the "Easy_TinyYOLOv3_Object_Detector_Training_on_Custom_Data.ipynb", great tutorial! However when testing it with my OAK-1 I get this error:

[14442C1051D14FD000] [301.575] [DetectionNetwork(2)] [warning] Network compiled for 5 shaves, maximum available 13, compiling for 6 shaves likely will yield in better performance [14442C1051D14FD000] [301.887] [system] [critical] Fatal error. Please report to developers. Log: 'XLinkOut' '221' Traceback (most recent call last): File "C:\Users\adam\Documents\DepthAI Demo\depthai-main\depthai_demo.py", line 637, in <module> pv.prepare_frames() File "C:\Users\adam\Documents\DepthAI Demo\depthai-main\depthai_demo.py", line 87, in prepare_frames frame = queue.tryGet() RuntimeError: Communication exception - possible device error/misconfiguration. Original message 'Couldn't read data from stream: 'color' (X_LINK_ERROR)'

erik

Hello Kialo, we apologize for this first impression of our notebooks. Just recently (3 days ago) I went through this tutorial and it worked as expected for me (discussion here, where you can also find script/blob). Could you share your blob model? I can give it a try with the script I mentioned in the other discussion.
And at Luxonis we encourage our users to try Roboflow for training (where users can also get much better ML/AI support than they could here) and they have a course for the depthai platform.
Thanks, Erik

Kialo

Hello erik, thank you for the information. I'll take a look at that discussion.

Here is my blob model:

Kialo

erik I've requested access to train the model with Roboflow.

No need to apologize for the notebooks, they have helped me tremendously with getting a fundamental understanding of all the requirements for depthAI and my OAK-1 device.

erik

Hello Kialo, I tried your model and can confirm that it's not working as expected. It might be better to try out the yolov4, I don't think we have had any problems with those blobs. Thanks, Erik

Kialo

erik Thanks for trying it, it was only a test to prototype the shapes anyway. I've now set up a more real-world testing environment. Then captured the photos directly on the OAK-1, so that it may be as close to the intended application. I'll now be using Roboflow to train the blob. I'll report back once that's completed.

erik

Kialo Sounds great, thanks for circling back!