News for hackers. Stuff that matters.
Re:Tensorflow on edge, or – Building a “smart” security came... by barake on Sunday June 21, 2020 @03:45PM (#23594783)
Curious what you found limiting about zeromq? Just not enough throughput for high FPS?

So far I’ve found it to be the sanest multicast solution since clients pull.

Re:Tensorflow on edge, or – Building a “smart” security came... by brutus1213 on Sunday June 21, 2020 @04:03PM (#23594945)
Issue isn't ZeroMQ. The simple/inefficient way to do it is to capture frames one at a time, and send them via ZeroMQ. Video is pretty bandwidth intensive .. the only reason things like YouTube work as smooth as they do is that they use codecs such H264/265 (which are proprietary unfortuantely) and stream compress frames over the network. Now doing the codec in software burns a lot of CPU as this is very math intensive .. most processors support hardware video codecs for this purpose. There are just no open source tools/libraries that make this good/simple enough that I have found.
Re:Tensorflow on edge, or – Building a “smart” security came... by ww520 on Sunday June 21, 2020 @04:54PM (#23595323)
Aren't IP cameras capable of H264 already encoded the video before output it to the network? H264 video stream has very good compression ratio and shouldn't consume too much bandwidth.
Re:Tensorflow on edge, or – Building a “smart” security came... by brutus1213 on Monday June 22, 2020 @07:18AM (#23599042)
In the project I used zeromq, we were not using external IP cameras. My experience with IP cameras is still full of some seconds of latency .. I have no idea why.