I have raspberry pi AI kit. But unable to use for any custom model. And also not able to compile the pretrained yolo models. Tried both with or without Hailo model zoo. And also inside Hailo Docker Suite.
I am not sure exactly about how to handle hailo related errors. Everyone is struggling to compile a custom model. I read other post. And most of them have issue in compiling. We can only use the provided compiled models. Which technically does not make sense for everyone.
I understand that, It’s relatively new in the market. And you will be definitely working hard to improve.
So May I know what’s the future plans for dataflow compiler?
What’s progress on it and when it will be available?
DFC studio can also be a great tool but currently it only saves har format. So When you releasing the new features quantization, optimization, compilation steps.
Thanks for reaching out. To better assist you, could you provide more details about your situation?
Which specific model are you attempting to retrain?
What errors are you encountering during this process?
Regarding dfc-studio, we’re aiming to release full functionality in our next quarterly update.
We’re also here to help with alternatives:
We can suggest similar models that might suit your needs.
If there’s enough demand for a specific model, we can consider adding it to our model zoo by compiling it ourselves.
Please feel free to suggest any models you’re interested in seeing in our zoo.
Don’t hesitate to share more details about the errors you’re facing. The more information you provide, the better we can assist you in resolving any issues.
Thank you so much for you’re response.
I have a custom trained model on yolov8s-pose. I trained and converted to onnx outside hailo env (hailo_model_zoo does not have training for pose model). And copied trained model and dataset into hailo env.
@omria
Another question, do you provide paid support to businesses in creating models compatible to hailo? If yes, I will probably prefer to go with that.
@omria
Hey I think I found where is the issue…
My training data contains images of resolution 640x360. And also my data contains 2 keypoints. And these things changes the output of the network. And I am considering those changes in yaml file. Probably this is the reason…