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

xdreamwalker said:
Every time that I have started a Docker container via Powershell it has shown up in the Docker for Windows dashboard GUI.
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I know zero about Docker, check my post history , :) but I do know that it will show up in the dashboard as stated. Just did it yesterday and it is also the only time I have done it!
 
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:rofl:
CAL7 said:
Perhaps, but as someone who has not yet summoned the courage to try Deepstack on Docker for Windows, I appreciate your stepping up and flushing out the issues that I surely will face when I get there.
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I feel you man. I am old enough to tell stories about the dark ages...(dramatic music playing) BEFORE TECH.DUM, DUM ,DUM. LOL so while I am reasonably literate regarding tech- the DOCKER thing was a total black hole for me, I didn't and still don't really grasp the whole concept of what it is so I did not want to try it. But now that I have it working I feel better. For what it's worth- Everything you need to know is out there as long as you are willing to ask questions and do the 100 Google searches and reading required...I like most people am pretty lazy and impatient. I just want it all to be given to me in a simple to understand format, sometimes I find that ,sometimes I just Bit$% and Whine but ultimately get it figured out. My fall back is to ask one of my kids, I know I failed if I have to stoop to that LMAO. Best advice I can give you is to make sure you take the time first to look at all the steps, ensure you have meet any prerequisites, then read it all a second time before you start and of course make a back up of everything that is currently working so you can always go back to that while you hit the books before your second attempt!
 
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Does anyone also use MQTT to implement this? In UI3, going to alerts, it’s showing all the snapshots and clips that are false alerts. Is this a problem only when using MQTT? I wanted to keep secure session keys and login page.
 
Okie dokie. Believe it or not I am trying...trying SO HARD, to do some custom models for deepstack. I KNOW RIGHT- WTH is this guy thinking?! Seriously here is where I am at and hope someone here is already doing this and can help me.
I have fumbled through the following-
Preparing Your Dataset
Step 1: Install LabelIMG
Step 2: Organize Your Dataset
Step 3: Run LabelIMG
Change Annotation to YOLO Format
Step 4: Annotate Your Dataset
Annotate Your Train /Test Dataset
Cloned the Google Caolb
copied it to my GD, mounted it, uploaded and unzipped my dataset folders.

Now I am stuck. Do I need to create a new cell and run some code or something so it "trains"? I am not seeing any model files or pth files so either I just think I did everything right to this point or just don't understand where to go from here.

As always TIA for any help.
 
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Hi,
i am using VorlonCD/bi-aidetection and sending alert on Telegram.

But i only recive the image, te caption that i have setting is not sent on telegram.

Someone whit this issue?
 

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balucanb said:
Are you running the AWS piece? How is it working out if yes?
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Negative, I'm pretty happy with deepstack for my application. Now it is open source I'm betting that it will become more accurate. From what I have read it would seem that AWS is taking around 1500ms per image to analyseo_O
 
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Village Guy said:
From what I have read it would seem that AWS is taking around 1500ms per image to analyse
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Out of curiosity, what is "good" when it comes to deepstack doing it's thing. I'm averaging in the 500ms - 750ms range though occasionally it will blow out to 1500ms - 2000ms. That's processing 720P images on an I7-8700 BI Box with OpenALPR running as well
 
SyconsciousAu said:
Out of curiosity, what is "good" when it comes to deepstack doing it's thing. I'm averaging in the 500ms - 750ms range though occasionally it will blow out to 1500ms - 2000ms. That's processing 720P images on an I7-8700 BI Box with OpenALPR running as well
Click to expand...

Here's a sampling of my numbers, latest version of Deepstack:

Code: 
[GIN] 2020/12/16 - 19:52:48 | 200 | 440.1914ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:52:50 | 200 | 412.3246ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:52:52 | 200 | 349.1985ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:52:54 | 200 | 378.7322ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:52:56 | 200 | 420.3993ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:52:58 | 200 | 394.851ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:53:23 | 200 | 183.1901ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:53:27 | 200 | 210.3503ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:53:40 | 200 | 196.2532ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:53:44 | 200 | 181.4243ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:53:54 | 200 | 174.5811ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:53:58 | 200 | 182.4597ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:56:29 | 200 | 425.209ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 19:56:34 | 200 | 512.897ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:26:54 | 200 | 532.6159ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:26:58 | 200 | 412.207ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:27:02 | 200 | 537.0633ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:28:42 | 200 | 357.8743ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:29:01 | 200 | 316.5681ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:29:47 | 200 | 509.3337ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:29:59 | 200 | 442.3388ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:30:03 | 200 | 220.8143ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:31:49 | 200 | 397.5408ms | 172.17.0.1 | POST /v1/vision/detection
[GIN] 2020/12/16 - 20:35:40 | 200 | 390.4652ms | 172.17.0.1 | POST /v1/vision/detection
 
cscoppa said:
It's version cpu-2020.12 from 7 days ago.
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as long as you are using .......deepstack deepquestai/deepstack:latest
it should always pull the newest version. That is my understanding. I use it on Windows however so if you are doing anything else that may be incorrect.
 
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