Best posts made by sansoy

I’m a total loss with making my Tfiite models work on the VOXL2.

I’ve followed every thread.

I’ve successfully trained models using the recommended Tensorflow, i’ve quantized it down to 16 float.

i can successfully run these on my linux box, my macbook pro, a raspberrypi and the nVidia Jetson Nano.

But when uploaded to VOXL2 i do get video but absolutely no detection what so ever.

Also per https://docs.modalai.com/voxl-tflite-server/ i followed the instructions for post training quantization on
my frozen graph and on my saved models.

I used Netron to find the input/output parameters.

I also successfully converted a YOLOv8 model into a tFlite model and ran object detection perfectly on all the different platforms except for the VOXL2.

Here's a link to one of my colab notebooks i've used to train an object detection model.
https://colab.research.google.com/drive/1QdgpSl63OSQdLTnFwOyP8dxLQ7W0HtmW?usp=sharing

@Moderator Ah ok. these are working!

just for everybody else's edification
instead of just typing "hires" you need to type one of the following listed with
voxl-list-pipes

voxl2:/$ voxl-list-pipes
hires_color
hires_grey
hires_large_color
hires_large_encoded
hires_large_grey
hires_small_color
hires_small_encoded
hires_small_grey
tflite
tflite_data