I'm very newbie at GStreamer and I can't write the output to file. I'm testing the gstreamer detect example in the coral/examples-camera/gstreamer project. This
Currently Google coral dev runs on Mendel OS which supports Linux kernel v4.14 https://coral.googlesource.com/linux-imx/ linux-imx already support v5.4 for i.M
I have the Coral AI usb TPU and I have succesfully run the Getting Started example, deploying the already compiled / trained example model (image classification
Is there a way to automatically turn on the device whenever power is supplied? What is currently happening is that when I connect the usb-c connector to the pow
Is it possible to train EfficientDet lite model using TPU Google Coral accelerator on Raspberry Pi 4 (64 bit os bullseye)?
From Tensorflow Object Detection API, I have noticed that TFLite_Detection_PostProcess has cut off the original outputs from Tensorflow Object Detection model
I already know that TensorFlow Lite (TFL) supports the Google Edge TPU, for instance through the Coral Dev Board (Linux required). However I'd like to know whet