YOLOV8n conversion to tflite runs only on the CPU but has segmentation errors trying to run on the GPU

[ErezI]

Hi,
We tried to convert YOLOV8n detection to tflite on VOXL2 according to your instruction
(https://docs.modalai.com/voxl-tflite-server/).

After changing also the new tflite to the same existing YOLOV5 file name
(/usr/bin/dnn/yolov5_float16_quant.tflite)
we succeed in running it with CPU delegate
(/etc/modalai/voxl-tflite-server.conf),
but not on the GPU.

1.Is it possible to get the full yolov5 to tflite conversation
you used in order to get a functional tflite file running on the GPU
and also the relevant configuration and parameters used for the already existing YOLOV5's tflite file
(conf, iou, opset, imgsz, max_det, half, int8, dnn, etc.).

2.Did you try to convert & use updated YOLO version for the VOXL2 GPU?

Thanks,

Erez

[Moderator]

@ErezI this thread is likely useful https://forum.modalai.com/topic/2997/can-anyone-recommend-a-tflite-colab-notebook-for-voxl2-training/28

[[[global:former-user]]]

@ErezI

After following that thread let me know what questions you have, I'm happy to help!!

Thomas Patton