Installed 6.0.1.2 this morning and my No GPU inference times went to around 350ms from about 200ms on the same machine with CodeProject.AI running in a docker container. The Blue Iris default model is yolov8 and my CPAI is using yolov5, so that may be part (or all?) of the difference. No...
Mask the area in the back in Blue Iris, so it only detects motion on your property. Deepstack has a separate mask for where it looks for people (or whatever you set). Make that mask see a larger area so it can identify the person at the door. This way you only analyze images when there is...
The only thing I can think of to improve your situation is to set a mask on the first Blue Iris camera to only detect motion in the very small area that is your porch. When people step onto the porch it will generate the picture that the AI will then process. Then unmask enough of the...
Well you could skip the mask and have deepstack only detect people. The people in your driveway have to get out of their cars eventually, right? I've even had mine detect people through the front windshield sometimes.
Yes. You can create a mask .png file with your car parking space blocked off so it will ignore your car when doing the object detection. The instructions to do that are in the first post of this thread.
The latest version of Blue Iris 5 added substream optimization. If you set up your camera with the Main stream and also put in the url for the Sub stream then Blue Iris will use the sub stream to do all the motion processing and live viewing. I still needed to clone those cameras to a hidden...
I have it on Auto so it is in IR mode. The front porch does have a porch light on a timer all night so I could probably put that one on forced color mode and get decent video. My other cameras aren't near lights so I need IR, but they seem to perform much better than the front porch cam. The...
I think most people run it on another computer (or another VM in my case). I would guess a vast majority of the installs are Docker containers on some Linux variant, but even if you are in the minority that runs Docker on Windows the DeepStack container would have its own IP address and not...
Mostly missed completely (false alerts), although a couple where it identified me as a dog (40%). I had only set up my front door camera (DS-2CD2342WD-I) before which is mounted above and to the left of the porch so not as much contrast in night view between people and the ground I guess. I...
I was seeing very poor detection performance at night just like @morten67 above. I have my confidence interval set from 10% - 100%. I'd still say it misses on over half my front door triggers, but is almost perfect in daylight. Do you have any other pointers on getting night detection to work...
I did not get the API-key field in my docker image install, which is working and it is the one I am currently using. I did get asked for a key for the Windows installation, but once I figured out the AVX issue I abandoned that one and went back to working with the docker container.
The DeepStack release notes from April last year I believe support my theory above: New Features, Performance Improvements and More With DeepStack 3.4
Specifically this section:
I had this same issue that a few people have been having running in a VM in Proxmox, actually 2 VMs - the Linux one I use for Docker and then the Windows one I use for Blue Iris. I finally figured it out. It is because the default processor type for VMs is kvm64 which does not have support for...
Not sure I can help anymore. My foscam-related crash issues were resolved as of 4.0.1.0. My CPU usage is back to normal as of 4.0.1.3. I actually uninstalled BI 3 completely after 4.0.1.3 since all my issued had been addressed. Zxel is still having crash issues with his Foscam clone, so...
The problem has been fixed with my Foscams and audio since 4.0.1.0 with no crashes since I got that update and re-enabled audio recording. I am noticing roughly double the CPU usage with the recent two updates, but that is a different issue. I have the CPU cycles to spare on this machine, so...