Catalin Gheorghiu Rastko Djordjevic ML on the Edge.

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Presentation transcript:

Catalin Gheorghiu Rastko Djordjevic ML on the Edge

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About us

Thank you! Благодаря! Blog TDB  My Email catalin.gheorghiu@ronua.ro

Links 1 TensorFlow https://en.wikipedia.org/wiki/TensorFlow Why how and terminology https://nanonets.com/blog/how-to-easily-detect-objects-with-deep-learning-on-raspberry-pi/ APMP Arribada Penguin Monitoring Platform https://www.irnas.eu/apmp-arribada-penguin-monitoring-platform/ How to install on PI https://www.raspberrypi.org/magpi/tensorflow-ai-raspberry-pi/ https://www.pyimagesearch.com/2017/10/16/raspberry-pi-deep-learning-object-detection-with-opencv/

Links 2 To count library https://github.com/ahmetozlu/tensorflow_object_counting_api Training the model(labelimg) https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html Easer ways Cognitive services https://www.customvision.ai/projects

Links 3 How to do Azure IoT Edge https://azure.microsoft.com/en-us/blog/running-cognitive-services-on-iot-edge/ https://azure.microsoft.com/en-in/resources/samples/custom-vision-service-iot-edge-raspberry-pi/ Neural Stick https://blog.hackster.io/getting-started-with-the-intel-neural-compute-stick-2-and-the-raspberry-pi-6904ccfe963

Links 4 Benchmarking https://blog.hackster.io/benchmarking-the-intel-neural-compute-stick-on-the-new-raspberry-pi-4-model-b-e419393f2f97

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