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Is there a more self-contained way of running trained models on devices like the Pi? Almost all tutorials I've come across always require me to install a lot of
by dividuum 8y ago
Is there a more self-contained way of running trained models on devices like the Pi? Almost all tutorials I've come across always require me to install a lot of Python dependencies. I'd love to have classifiers installed as a single binary somewhere. I guess https://pjreddie.com/darknet/yolo/ https://pjreddie.com/darknet/yolo/ is pretty close to that and I would imagine with a custom build wrapper around https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/makefile https://github.com/tensorflow/tensorflow/tree/master/tensorf..., the same could be achieved. Any hints?
- zok3102 8y agoNot exactly a single binary, but Flogo - https://github.com/TIBCOSoftware/flogo https://github.com/TIBCOSoftware/flogo uses one binary + one .so for TF inferencing. See https://tibcosoftware.github.io/flogo/development/flows/tensorflow/inferencing-tf/ https://tibcosoftware.github.io/flogo/development/flows/tens... for some basic documentation. We’re looking to grow this further with a model serving service so that its more controlled and better abstracted from processing logic - A/B, champion/challenger, etc. Core devs hang out on gitter in case you have qns or feedback.
- deleted 8y ago[deleted]
- sarthakjain 8y agoThis has a way to do it without installing anything https://medium.com/nanonets/how-to-easily-detect-objects-with-deep-learning-on-raspberrypi-225f29635c74 https://medium.com/nanonets/how-to-easily-detect-objects-wit...
- Maybestring 8y agoYou could use tensorflow.js, not self-contained, but it only depends on the browser. And... Is it easy to get openCL working on a Pi? WebGL might be slower, but it ought to just work.