For those using ZoneMinder and trying to figure out how to detect objects, there is deepquestai/deepstack AI model and builtin HTTP server. You can grab video frames by using ZoneMinder API or UI API: You need to specify address, monitor ID, user, password. You can also specify single frame (mode=single) or motion (mode=jpeg). Zoneminder uses internally /usr/lib/zoneminder/cgi-bin/nph-zms program binary to grab frame from configured IP ONVIF RTSP camera. It is probably to the most quickest option, but it is convenient one. Using OpenCV in Python you could also access RTSP stream and grab frames manually. However for sake of simplicity
Asking BLOOM-560M “what is love?” it replies with “The woman who had my first kiss in my life had no idea that I was a man”. wtf?! Intro I’ve been into parallel computing since 2021, playing with OpenCL (you can read about it here), looking for maximizing devices capabilities. I’ve got pretty decent in-depth knowledge about how computational process works on GPUs and I’m curious how the most recent AI/ML/LLM technology works. And here you have my little introduction to LLM topic from practical point-of-view. Course of Action What is BLOOM? It is a BigScience Large Open-science Open-access Multilingual language
It might sound a little weird, but that’s the case. I was trying to setup NFS mount in OKD docker registry (from this tutorial). During oc rsync from inside docker-registry container I found that OKD master processes are down because of heath check thinking that there is some connectivity problem. This arised because oc rsync does not have rate limiting feature and it I fully utilized local network then there is no bandwidth left for the cluster itself. Few things taken out from logs (/var/log/messages): The starting transfer from docker-registry container is at the of 200MB/s. I’m not quite sure