No detections when running custom YOLOv8 model on voxl-tflite-server

svempati

Hello,

I am trying to run a custom YOLOv8 model on the voxl-tflite-server. The model detects ships and the yolov8_labels.txt file only contains one ship class. However, when I run the tflite server and view it on voxl-portal I can see the video feed, but cannot see any bounding box detections even when the target is in the camera frame.
I tried another variation for the labels file by having the class index and label name like this: 0 ship, but that doesn't work either.
I also ran voxl-inspect-detections but it doesn't show any detections there.

When I tested the default yolov5 and yolov8 models on voxl-tflite-server, it displays the bounding boxes and shows the list of detections in voxl-inspect-detections just fine.

If it helps, I used this command to convert the YOLOv8 model to the tflite format:

yolo export model=best.pt format=tflite

I use the quantized 16 bit tflite model named yolov8_best_float16.tflite.

This is how I set up the config file /etc/modalai/voxl-tflite-server.conf:

{
"skip_n_frames":	0,
"model":	"/usr/bin/dnn/yolov8_best_float16.tflite",
"input_pipe":	"/run/mpa/front_small_color/",
"delegate":	"gpu",
"requires_labels":	true,
"labels":	"/usr/bin/dnn/yolov8_labels.txt",
"allow_multiple":	false,
"output_pipe_prefix":	"yolov8"
}

Is there anything I missed that is leading to no detections on the voxl-tflite-server?

I would appreciate any help!