Add processing on a stream

robmarkcole / coral-pi-rest-server

Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

https://coral.ai/products/accelerator

MIT License

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Add processing on a stream #12

Closed robmarkcole closed 4 years ago

robmarkcole commented 5 years ago

GOAL: subscribe to rtsp/mjpeg stream and display processed frame, suitable for low FPS with no caching of data. OPTIONAL: for batch processing, put frames on a REDIS queue using separate process

Complete code from this tutorial
Capture frames and place on Redis -> https://github.com/robmarkcole/hello-websocket/tree/fix-python3
Frigate also has example of capturing from stream with openCV

Display stream issue -> https://github.com/robmarkcole/coral-pi-rest-server/issues/14

robmarkcole commented 4 years ago

I think this is out of scope, better as a separate project or just implement https://www.pyimagesearch.com/2018/02/05/deep-learning-production-keras-redis-flask-apache/