[tool] [tutorial] Free AI Person Detection for Blue Iris

I am using a separate virtual Ubuntu for deepstack

I login to my Ubuntu server and issue this command (replace deepsatckai with your container name)

sudo docker logs -f deepstackai

I posted a few pages back my configuration:

[tool] [tutorial] Free AI Person Detection for Blue Iris

In my limited experience with the Windows version of Deepstack, I average around 600ms. Thats on a Threadripper 1950x with 16 cores, 64 GB ram and Samsung M2 drives that are like 3000mb read speed. If you had less than 16 GB ram that appears like it could be a factor since I'm seeing...
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MnM said:
I am using a separate virtual Ubuntu for deepstack

I login to my Ubuntu server and issue this command (replace deepsatckai with your container name)

sudo docker logs -f deepstackai

I posted a few pages back my configuration:

[tool] [tutorial] Free AI Person Detection for Blue Iris

In my limited experience with the Windows version of Deepstack, I average around 600ms. Thats on a Threadripper 1950x with 16 cores, 64 GB ram and Samsung M2 drives that are like 3000mb read speed. If you had less than 16 GB ram that appears like it could be a factor since I'm seeing...
ipcamtalk.com ipcamtalk.com
Click to expand...

That is interesting. I'm using a similar setup and my times are close to a full second. Half that when using deepstack right there on the windows server
 
I believe is all to do with the individual components.
I use Samsung 970 Pro NVMe M.2 1Tb for my virtual servers (OS drives) and spinning disks (7200prm) for Data drives. It gives my next to 0 latency.
 
My BlueIris server is like - using the Samsung NVME for OS, Intel DC S3710 800GB SSD (write intensive it will last me a minimum of 15 years) for 1st drive where BI records 24/7 and generates the alert files (it also has the BI DB and files) - then I have spinning drive where I archive BI recordings and alerts to. Again next to 0 latency for BI virtual server.
 
Senor Pibb said:
I am sure I am missing something. The labels are stored in the JSON or SQLITE? I can go back and look for them. I do the following: make backup of current folder, copy new files from zip of new ai tool to current folder. attempt to run and test. restore if needed. But I must have missed something. can you suggest where the labels are stored for the status tab.?
Click to expand...

I was replying to visual studio method not the zip file but all the settings are in;

AITool.Settings.JSON
 
Tinbum said:
forum.deepstack.cc

DeepStack is Back

Hello everyone. I trust everyone has been good. We have been away for a while trying to sort out a couple of things and we appreciate your patience. We are fully back now both on community engagements and active development of deepstack. We have a lot of exciting updates both to the deepstack...
forum.deepstack.cc forum.deepstack.cc

Use the lower links and note they are going over to docker only I believe ;

Run
deepquestai/deepstack:latest
or
deepquestai/deepstack:cpu-x5-beta

It's much much faster. :) :) :)

View attachment 73095
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Docker Only- :(
 
@Tinbum

Will be able to put a dummy guide for compiling from github? That's one area I don't have much experience in and I will like to shorten the wait for new versions by being able to compile myself
 
MnM said:
@Tinbum

Will be able to put a dummy guide for compiling from github? That's one area I don't have much experience in and I will like to shorten the wait for new versions by being able to compile myself
Click to expand...

I put a basic guide is on here quite a few pages ago and a link to it again a couple of pages back.

Oh and note that if you are pulling commits from github that their may well be bugs. The zipped file has normally been tested by a few people first so a lot, though not all bugs may have been found.
 
Last edited:
Tinbum said:
I put a basic guide is on here quite a few pages ago and a link to it again a couple of pages back.

Oh and note that if you are pulling commits from github that their may well be bugs. The zipped file has normally been tested by a few people first so a lot, though not all bugs may have been found.
Click to expand...

Found it - thanks. I might give it a try and see how it goes
 
balucanb said:
Docker Only- :(
Click to expand...

Probably not !

Copied from deepstack forum: We can build a native gpu version for Windows, it will not be docker based. The reason behind the idea of WSL is to keep everything docker however, as you said there is need for a native windows version.
 
Ok- I know there is a guide of sorts on page 1 about using Docker. But if you are like me it is very hard to know how to do this because I am not that smart in all this stuff I see - Docker, Docker for windows, VM, Ubuntu, noavx, Linux, container, portainer and on and on. I just want to keep using my windows set up until it stops working then I guess I'm out, because I have no idea how to switch this all over to using "DOCKER" do I have to delete the current DQAI stuff off the computer? Do I just install it all over the top of everything, I run everything of a separate WIN 10 pro box, can I still do this with DOCKER? Do I really have to run this part on 1 computer and the other part on another computer? I know I sound like a whinny little BIAAA#$CH and I am sorry but for a real novice it is very very frustrating. Can anyone guide me to a real Barney style example of how to do this since we know the windows version is outta here. I really would like to keep up since i truly enjoy all the super hard work everyone has put into this. Thanks.
 
Village Guy said:
Probably not !

Copied from deepstack forum: We can build a native gpu version for Windows, it will not be docker based. The reason behind the idea of WSL is to keep everything docker however, as you said there is need for a native windows version.
Click to expand...
That would be wonderful! See my whiny post- could have not stressed out now that I see your post LMAO.
 
Hello! Just found this awesome project. As someone just starting all of this, Is there an updated guide somewhere? Do you just follow GP guide on page 1? I've tried to read over the most recent 25 pages but it's quite a bit more technical than I'm able to wrap my head around. I see the link to Chris Dodge's fork on github, do you install that after you get finish setting up GP original version? I've got a dedicated win 10 computer running just BI. Sorry for all the beginning questions, I don't fully understand how all of it works, so that's why I was looking for a step by step guide. Thanks!
 
balucanb said:
Ok- I know there is a guide of sorts on page 1 about using Docker. But if you are like me it is very hard to know how to do this because I am not that smart in all this stuff I see - Docker, Docker for windows, VM, Ubuntu, noavx, Linux, container, portainer and on and on. I just want to keep using my windows set up until it stops working then I guess I'm out, because I have no idea how to switch this all over to using "DOCKER" do I have to delete the current DQAI stuff off the computer? Do I just install it all over the top of everything, I run everything of a separate WIN 10 pro box, can I still do this with DOCKER? Do I really have to run this part on 1 computer and the other part on another computer? I know I sound like a whinny little BIAAA#$CH and I am sorry but for a real novice it is very very frustrating. Can anyone guide me to a real Barney style example of how to do this since we know the windows version is outta here. I really would like to keep up since i truly enjoy all the super hard work everyone has put into this. Thanks.
Click to expand...

First and foremost don't think you need special skills! I have been using deepstack running under docker almost from the beginning because it started automatically with windows and was easy to update versions. Just think of docker as an intermediary program that translates everything. If you check out the link on the original post that points to the docker install and come back with questions I will do my best to help. First install cocker just like any other program an we can take it from there
 
@balucanb Sorry I should have said install Docker from the windows install program NOT the install referenced at the begining of this thread as it may be confusing. DOCKER will install stand alone. Get back to us when you have it installed and we can then get you up and running deepstack.
 
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Village Guy said:
First and foremost don't think you need special skills! I have been using deepstack running under docker almost from the beginning because it started automatically with windows and was easy to update versions. Just think of docker as an intermediary program that translates everything. If you check out the link on the original post that points to the docker install and come back with questions I will do my best to help. First install cocker just like any other program an we can take it from there
Click to expand...
Thanks Man! I really appreciate it. Just been one of those weeks for me, Kid getting married tomorrow, People at the day job are morons, My POS Smart things hub went dark for 9 freaking hours with no apparent reason and then I thought i was screwed with DQAI! I'm just going to do some day drinking.. Scotch at 12 am..that cool right? LOL.
 
balucanb said:
Thanks Man! I really appreciate it. Just been one of those weeks for me, Kid getting married tomorrow, People at the day job are morons, My POS Smart things hub went dark for 9 freaking hours with no apparent reason and then I thought i was screwed with DQAI! I'm just going to do some day drinking.. Scotch at 12 am..that cool right? LOL.
Click to expand...
Seems to me you have earned that drink. Enjoy
DQA will still be here tomorrow
 
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Was able to get the new docker container up and running on the windows host that blue iris and the aitool reside along with throwing everything on the extra SSD i had laying around. Getting around 250ms on the deepstack side vs 550ms using the normal windows server. This is all over 950ms using the docker container on a linux host somewhere else on the network.

Brings average time to around 500-600 ms for the whole thing which is great!
 
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