Babacar

Hi Babacar
I think you need to edit the callback function to correctly parse the results from your model. Try removing all the logic inside the callback to see if it still causes the same error. I'm not sure whether it stems from the parsing or whether it's a visualizer problem.

Thanks,
Jaka

Hi Babacar ,
We have just updated the deepsort demo, and you should be able to easily replace the default object detection model with your own yolov8. THoughts?

Hi Babacar
I'm not sure so I asked Bard:

Yes, DeepSORT supports YOLOv8. You can import YOLOv8 in JSON format from the DeepSORT_Tracking GitHub repository. Here are the steps on how to do it:

Clone the DeepSORT_Tracking GitHub repository.
Go to the deepsort/deepsort/detection/ directory.
Copy the yolov4.cfg and yolov4.weights files from the tutorial you linked to.
Create a new file called yolov8.json.
Paste the following code into the yolov8.json file:

{
 "model": "yolov8",
  "classes": ["person"],
  "path": "./yolov4.cfg",
  "weights": "./yolov4.weights"
   }

Save the yolov8.json file.

Now you can use DeepSORT to track objects detected by YOLOv8.

Here are some additional resources that you may find helpful:

DeepSORT documentation: https://github.com/nwojke/deep_sort/blob/master/README.md
YOLOv8 tutorial: https://pjreddie.com/darknet/yolo/

Hope this helps,
Jaka

Hi Babacar ,
We have DeepSORT demo here: https://github.com/luxonis/depthai-experiments/tree/master/gen2-deepsort-tracking
I hope it helps!

Hi Babacar ,
We apologize for the inconvenience. Could you try running the 2 troubleshooting steps described here? https://docs.luxonis.com/en/latest/pages/troubleshooting/#depthai-can-t-connect-to-an-oak-camera
If device isn't found, it's likely a HW issue, and we will replace the device.