Nice writeup but the Raspberry Pi isn't running tensorflow. It is mentioned in the article that the author is sending images to an edge machine.
The big question I had was about hardware video encoding/decoding ... doesn't really cover that. I've found sending single image frames over zeromq to be fairly limiting if you care about high frame rate/low latency processing.
Key issue I have run into is while many chips support hardware video encoding/decoding, the APIs to interface with this aren't there or not in open source. Anyone who has ideas on this, I'd welcome your comment.
As an aside, another option is to run Intel's Movidus USB stick (aka Neural compute stick) and then you get a smart camera on the raspberry pi itself. That raises other issues though.
The big question I had was about hardware video encoding/decoding ... doesn't really cover that. I've found sending single image frames over zeromq to be fairly limiting if you care about high frame rate/low latency processing.
Key issue I have run into is while many chips support hardware video encoding/decoding, the APIs to interface with this aren't there or not in open source. Anyone who has ideas on this, I'd welcome your comment.
As an aside, another option is to run Intel's Movidus USB stick (aka Neural compute stick) and then you get a smart camera on the raspberry pi itself. That raises other issues though.