Glad to hear that I was able to help you! Thank you, you too!
Best,
Jan
Fakhrullo
- Apr 4, 2024
- Joined Jul 31, 2023
- 0 best answers
- Best Answerset by jakaskerl
Ah, I see. Now, it makes sense. I saw in the ultralytics documentation that they support YoloV6 as well. So you can keep using the code you have and (for now) use the
YoloV8export option in the tools when converting the model. Another option would be to use YoloV6's training script. We have prepared a tutorial for that. You can also find more information in the YoloV6's repository. If you would choose this, then you could use theYoloV6export option in the tools.Best,
JanI found out that your model is convertible using the
YoloV8option in tools. Here's the exported model. Can you please verify that it works? I tried to run the model on an OAK device, and it ran without an error, but I don't know what the model is supposed to detect.Could you please also share the details about how you train the model? It's very interesting that to load the weights, the package
ultralytics(which is used for YoloV8) is required.Best
Jan- Edited
Hi @Fakhrullo
thanks for your reply. I tried to load the weights (best.pt) that you shared with us, but I was unable to load them using:
import torch
torch.load("best.pt")It returned the following error:
KeyError: "filename 'storages' not found"It seems like the file is corrupted. Can you please try it as well and ensure it's not corrupted?
Best
Jan
