roflcoopter
[FR] Multiple redundant detectors
I’m actually using Frigate (on Coral USB) + Deepstack (on CPU) + HA to get mobile notifications with snapshot&video of detected people on my cameras. I combine Frigate with Deepstack because TFlite models raise too many false positives. Coral is great to keep CPU load negligible but is very limited on detector capability/tuning: to use the CPU just to confirm the coral detections is fine to keep low CPU usage. The idea to combine (as a pipe) multiple detectors makes false positives disappear for me.
At some point you speak of “multiple detectors” on the future of Viseron: would be possible to run multiple detectors on the same event/image to confirm its goodness?
I'm interested in learning more about how you use the models in this way - can you give some more detail about how you go about doing this? I'm a newb at TF but I catch on fast.
I totally missed replying to this, sorry about that. This should be quite easy to implement, i will get to it as soon as i am done with zones in 1.4.0
I'm interested in learning more about how you use the models in this way - can you give some more detail about how you go about doing this? I'm a newb at TF but I catch on fast.
I use HA to manage most of the automatism: when Frigate signals an event (new event-based mqtt system in v0.6.0-rc1) I get a snapshot from frigate and send it to Deepstack. If Deepstack confirm a person detection I send a notification on the mobile phone with picture and video links (Frigate saves video too). It's not a clean solution but at least it works for me. I hope Viseron could natively support a better and direct solution.
Is Deepstack integration a deal-breaker for you? Or would you be satisfied with EdgeTPU > Darknet. In my experience Darknet is much more accurate than EdgeTPU and is state-of-the-art
Is Deepstack integration a deal-breaker for you? Or would you be satisfied with EdgeTPU > Darknet. In my experience Darknet is much more accurate than EdgeTPU and is state-of-the-art
I guess that to cut false positives it would be enough to use Darknet (never tested it!) on CPU (I just got Intel GPU of an i3). I don't care to use Deepstack: I used it just because it was my first attempt before Frigate&Coral. A fully internal management of the double-check by Viseron would be great for simplicity. The on-second-check activation of Darknet on CPU, I guess, would be negligible: the most work load would be endorsed by Coral EdgeTPU.
Great, then i should be able to deliver on this! Hopefully in the coming weekend, atleast as a beta for you to try out. A bonus of using OpenCVs implementation of Darknet is that OpenCV has support for OpenCL, which means the object detection will run on your integrated GPU.
I'm testing the new Frigate heuristic against false positive (https://github.com/blakeblackshear/frigate/pull/190) and, working on multiple measuring along the "detected event", it is very effective to sieve false positives.