Issues with custom Yolov8
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Hello
We are training a yolov8 model to recognize rasberry pis. We are able to create the .tflite, test it using the predict function with 100% detection and high certainty, and push it to the Voxl 2 mini. However, no matter how we configure the voxl-tflite-server, we can't see it replicated in the voxl portal.
Some notes about our setup
For training we are using 75 images. 50 are for training, 15 are for valid, and 10 are for test
Our model-train.yaml is set to 30 epochs, 5 batchs, and 2 workers
our custom labels.txt for the tflite server is just 0 RasPi
we have used both the tracking_front and the Hires_misp_color cameras, with no such luck.
Inside of the deep learning documentation there is a section about the initialize_model_settings function in the main file. We cannot find this function on the voxl 2 mini. If the steps under 'Implementing your model in voxl-tflite-server' and 'Writing the model class' are critical to our success, we would really appreciate the function/file locations for the voxl 2 mini.
Thank you
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@jeremyrbrown5 I will plan on testing this out tomorrow - how are you validatign that it is detecting the rpis? Are you running voxl-inspect-detections tflite_data -a?
