coral-pi-rest-server
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Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
What can we do with this, streamline model training? https://cloud.google.com/vision/automl/docs/edge-quickstart
Hit issue https://github.com/f0cal/google-coral/issues/42 but did not resolve by removing refs to edgetpu. Working with this hardware is frustrating
re: Coral rest server there any way to make the font larger and/or a different color background on the boxes? I’m not able to read anything on any detections, possibly...
Using `sudo systemctl start coral.service` the app appears to die after 12 hours, no errors in logs, just doesn't respond to requests
With the help of https://github.com/guichristmann/edge-tpu-tiny-yolo I made a tiny-yolo version of the rest-server: https://gist.github.com/weltmeyer/22ede027161ec13baf0671151399e726 if you are interested in this.
Can install from https://www.coral.ai/software/
https://github.com/Kao1126/EdgeTPU-FaceNet
As title
As title
As title, to allow object & face