Odd question. For others running AITool as a server, do you stop the server in Task Manager before opening the AITool program to make changes, see the history, etc?
[tool] [tutorial] Free AI Person Detection for Blue Iris
- Thread starter GentlePumpkin
- Start date
Thanks for sharing your setup! I was curious, why record 24x7 on the low res if your taking hi-res jpegs from the HD Main stream and motion recording from the HD Main stream?
I currently use the method in the hookup with 24x7 recording from the substream as well as jpegs and then recording the hi-res Main stream when alerts are identified with AITool but I would, at least, like to switch the jpegs to hi-res images to increase accuracy. the dream set up would be hi-res jpegs triggering hi-res motion clips and no substream except to view in small thumbnail in BI to save cpu resources....
I'm not sure if this helps but on the github page i noticed someone mentioning a similar issue to mine, which was related to the original way i set up the service (per the instructions on the first post). I have since migrated to the method VorlonCD mentions in this post: Awesome! Just a question about the service and desktop tool - 2 instances running? · Issue #100 · VorlonCD/bi-aidetection
The 24/7 recording is in case the AI fails to notice something, as I want something recorded. And I don't want to dedicate disk space resources to storing 24/7 4k streams.
Thank you for the hint!
Still no luck with the GPU version. I did read somewhere that the CUDA/gpu version does not support Docker desktop? - is that my issue? Not sure how to run docker in the linux subsystem (Ubuntu).
I went through the steps in the link. Downloaded a ton of packages ... a little beyond me I admit. I did install WSL2 - re-installed docker for desktop. It recognized the WSL2. AITool is still getting the error message when trying to connect to docker gpu.
Do you have the technical preview build of Docker? GPU support in Docker Desktop is a new feature not in the main release yet:
WSL 2 GPU Support is Here | Docker
Today we are excited to announce the general preview of Docker Desktop support for GPU with Docker in WSL2. There are over one and a half million users of Docker Desktop for Windows today and we saw in our roadmap how excited you all were for us to provide this support.
www.docker.com
This is perfectly doable. Instead of doing the Low res camera as per Rob's video, make a clone camera for triggering. IF you use the Clone method in Blue Iris the clone uses no extra CPU resources and can also be hidden so you don't two of each camera. It all depends if you need to record 24/7 as well. There is no need to setup the trigger camera to record 24/7 if you do not need 24/7 recording. The trigger camera can be set to only record jpegs, and in that situation you can use HiRes jpegs. You can limit the JPEG's store (aiinput folder) to only save images for even as low as just 1 hour unless you need to monitor what is triggering the camera over an extended time period. The images are only used once by DeepStack and the AI Tool.
Thank you! Tried that - still no luck. Thinking it might be that I don't have the Windows Insider build? Currently on Win10Pro 10.0.19042 (20H2). I might need 20145. At this point I don't want to reinstall. Just running 4 cpu docker containers helps with the "no available URLs" message. My times are around 300ms/pic.Do you have the technical preview build of Docker? GPU support in Docker Desktop is a new feature not in the main release yet:
WSL 2 GPU Support is Here | Docker
Today we are excited to announce the general preview of Docker Desktop support for GPU with Docker in WSL2. There are over one and a half million users of Docker Desktop for Windows today and we saw in our roadmap how excited you all were for us to provide this support.
Thanks so much for that response! 20 or so pages back i had a big back and forth with a few people as I struggled to grasp the concept of clones. Thanks to their help, I think i eventually grasped it (had conflated it with dual stream), and I think the confusion was that I followed The Hookup's video and in that tutorial, there is no mention of actually cloning the camera and I never selected any option that explicitly said "clone". So I THINK i just added every camera twice. If you know of a way I can check that, I'd love to finally put it to rest. I also, later, followed the DaneCreek tutorial, and added the substream to the 4k mainstream cameras, which it's my understanding, saves cpu by showing the low res feed when Blue iris has the camera displayed at a size where the higher resolution would be unnecessary (but maybe I'm mistaken).
On to your description of my dream scenario, why would I even need to clone the camera in that instance? sorry if this is a dumb question, but If I'm recording 4k clips when a 4k jpeg is identified as relevant by AI Tool, what would I need the low res stream for?
I don't think I NEED to record 24/7, especially if AITool is doing a good job of identifying correct alerts and then beginning the recording or flagging the existing one but I wouldn't mind some buffer period where I have everything in case something is missed. I asked this much earlier in the thread, but maybe if I just lay out the perfect scenario you could tell me if it's possible and I'll go from there. I'd like to record 1 days worth of 24/7 in 4k on the Blue Iris's internal HDD, then save/move ONLY the relevant clips that AITool identifies as relevant alerts (from 4k jpegs) for, say, a week or a month to another folder on the internal HDD, then after that week or month, move the clips to my unraid server for another month or so before deleting. I'm brand new to ALL of this, and in particular Blue Iris so I apologize if this is a dumb/obvious question. I feel like most people here have some experience with Blue Iris before they discovered AI Tool but I jumped in with both feet.
In the past i was under the understanding that I either needed to flag video clips of specified length (e.g. 1 hr chunks) as I recorded 24/7 and thus need to save every hour that was flagged if I wanted longer term storage, OR save just the relevant clips of video based on triggering of the 4k stream from a AITool positive alert, but not be able to do both.
I was just thinking about trying a similar setup to this today, but I was considering a slight variation. If I don't want 24/7 recording (HI or LO res), can I just have a single HD camera which is set to continuously send resized JPGs to the aiinput folder, and set the video recording to 'when triggered'. Motion detection would be turned off.
I would not be relying on the motion detection capability of the camera to begin the process of sending JPGs to the aiinput folder, it would just be happening 24/7. When AITool found an object of interest it would trigger the camera with the appropriate pre-record and break times.
I figured there may be a CPU usage issue as DeepstackAI would be processing images from every camera, all the time, but I wondered whether resizing and reducing the quality of the images might bring the file size down far enough to overcome that issue. Maybe I could use a pair of Deepstack servers on the same machine to speed up the processing?
I also wondered whether I would need the flagalert trigger URL and cancel URLs in AITool with this setup, as recording would only ever be triggered when AITool identified something in a JPG worth recording. There wouldn't be any false alert recordings would there?
Last edited:
What version of DeepstackAI are you running, and what image dimensions and file size (roughly) are you sending to AITool?
Now getting the following errors:
But I can still access the URL in a browser and it says that Deepstack is activated
But I can still access the URL in a browser and it says that Deepstack is activated
What is your processing time per pic? And pic size?
I did follow the suggestion to resize the image to max available (1280x1024 from the substream) and this did improve the % recognition significantly (at least 30% on avg). I am running 5 CPU docker instances now at about 350ms/pic.
Recording substream fulltime, mainstream triggered.
Edit- Feel free to read for your own enjoyment- I figured out what it was- none of the below BTW. I had unchecked "Merge Annotations into images" in the ACTIONS area. DUH. Leaving this here so if anyone else has a similar issue they can fix it instead of looking silly like me. 
Looking for some assistance on writing triggers correctly (AI-Tool, Actions, Trigger and cancel) I was running this trigger, had nothing in the cancel block -
{admin}&pw={xxx}
Ran this same one for all cameras using both a Docker set up and a Windows set up- it could be all jacked up , no clue since I do not claim to really understand how to write them correctly, anyway they seemed to work fine- Telegram was getting alerts, there would be a box around the detected item, the camera name, item and % would be on the bottom of the picture.
Yesterday I changed all the triggers and added a cancel trigger they look like this-
URL
ort/admin?trigger&camera=name of camera&user=xx&pw=xxx
URLort/admin?trigger&camera=name of camera&user=xx&pw=xxx&flagalert=1&memo={Detection}
Cancel trigger-
URLort/admin?camera=name of camera&user=xx&pw=xxx&flagalert=0
Unrelated but I also updated my camera settings in BI, I immediately noticed a giant increase in activity in AI-Processing images so my assumption is my original trigger was not working as it is should even though it was working-no clue.
So there is the background. Here is the issue-
I am still getting alerts sent to telegram from all 9 cameras however 2 of my 3 Reolink cameras (E1 pro & RLC 511W) are not showing the box around the detected item and the text and % on the bottom of that square? I re checked my triggers and they are all the same as all the other cameras and I do not see anything in BI that would cause this either. Any clue what is going on? TIA.
Looking for some assistance on writing triggers correctly (AI-Tool, Actions, Trigger and cancel) I was running this trigger, had nothing in the cancel block -
{admin}&pw={xxx}
Ran this same one for all cameras using both a Docker set up and a Windows set up- it could be all jacked up , no clue since I do not claim to really understand how to write them correctly, anyway they seemed to work fine- Telegram was getting alerts, there would be a box around the detected item, the camera name, item and % would be on the bottom of the picture.
Yesterday I changed all the triggers and added a cancel trigger they look like this-
URL
ort/admin?trigger&camera=name of camera&user=xx&pw=xxxURL
ort/admin?trigger&camera=name of camera&user=xx&pw=xxx&flagalert=1&memo={Detection}Cancel trigger-
URL
ort/admin?camera=name of camera&user=xx&pw=xxx&flagalert=0Unrelated but I also updated my camera settings in BI, I immediately noticed a giant increase in activity in AI-Processing images so my assumption is my original trigger was not working as it is should even though it was working-no clue.
So there is the background. Here is the issue-
I am still getting alerts sent to telegram from all 9 cameras however 2 of my 3 Reolink cameras (E1 pro & RLC 511W) are not showing the box around the detected item and the text and % on the bottom of that square? I re checked my triggers and they are all the same as all the other cameras and I do not see anything in BI that would cause this either. Any clue what is going on? TIA.
Last edited:
Need some help here. I'm trying to install Docker Desktop for Windows (v3.0.0). I install it and get a popup from Dockers:
I jump into PowerShell and get this error:
I try to manually start WSL 2 and get this error:
I am on Win 10 Home v2004 build 19041.572. Anyone come across this error? Or am I out of luck using this AI method?
I jump into PowerShell and get this error:
I try to manually start WSL 2 and get this error:
I am on Win 10 Home v2004 build 19041.572. Anyone come across this error? Or am I out of luck using this AI method?
Vettester
Getting comfortable
- Feb 5, 2017
- 825
- 825
Just let it overwrite all the files. Your settings will not be affected.
You need to upgrade to PRO can't do it on home edition is my understanding. Just Google it it'll break it downNeed some help here. I'm trying to install Docker Desktop for Windows (v3.0.0). I install it and get a popup from Dockers:
I jump into PowerShell and get this error:
I try to manually start WSL 2 and get this error:
I am on Win 10 Home v2004 build 19041.572. Anyone come across this error? Or am I out of luck using this AI method?