I do that too but if I send the whole image to AI-Tool it picks up all kinds of false objects and they are usually the same objects.. My pots are mistaken for people in certain light conditions quite often. A second mask in AI-Tool prevents these false detentions.
[tool] [tutorial] Free AI Person Detection for Blue Iris
- Thread starter GentlePumpkin
- Start date
I do that too but if I send the whole image to AI-Tool it picks up all kinds of false objects and they are usually the same objects.. My pots are mistaken for people in certain light conditions quite often. A second mask in AI-Tool prevents these false detentions.
cscoppa
Getting the hang of it
- Dec 14, 2019
- 50
- 26
What I'm saying is I have the mask setup such that it DOESN'T send the image to the AITOOLS folder. I'm avoiding things like pots, etc. using the mask in BI. The image only goes into the AITOOLS folder if the motion is in an area that I want to track.
I will try all off them
-try deepstackai on 'low' mode - not realy diference
-try lower frequency of images being anaylized - this helped but not as expected
-try lower resolution images from a substream camera stream - this gives an error
-try less cameras triggering deepstack - i trigger only 2 cameras (at same time)
-try latest deepstack versions - i use the last version
----- jetson nano is very interesting. ** very interesting- is it stable?How many cameras can support version with 2GB?Can we run ubundu at this device?
Village Guy
Pulling my weight
If I understand your suggestion you are proposing masking your pots from generating a trigger. Do your pots go walkabout?
Seriously though IMHO your methodology is flawed unless I have missed something. Masking in BI will only stop a trigger, it will not stop your pot from being recognised as a person. If the camera triggers on something else, the pot will still be in the image being analysed, this where aitool masking comes into play.
Village Guy
Pulling my weight
What's the state of play? Have you got it recognising any of your own subjects?
cscoppa
Getting the hang of it
- Dec 14, 2019
- 50
- 26
Ah, I see what you're saying. I guess in certain situations that might be useful. In my setup I'm only actually recording video clips when a human is detected. I haven't run into a situation (considering my BI masks) where I would need to do this. It doesn't bother me if the AI says "this is a pot" because it's ALSO accurately saying this is a human.
Village Guy
Pulling my weight
I think you are still missing the point. Aitool is known for misinterpreting a pot or ornament for a person occasionally, especially in low light conditions. If a moth or spider or even rain triggers the camera you could get a false positive. Your pot is suddenly reported as a human.
Needless to say this is only an issue for folk that experience a lot of false positives.
Windows Deepstack CPU GPU
github.com
Release DeepStack Windows Version - Beta · johnolafenwa/DeepStack
Native Windows Version of DeepStack CPU Installation Download and run DeepStack CPU Beta GPU Installation Download and Install CUDA 10.1 from here https://developer.nvidia.com/cuda-10.1-download-a...
github.com
I have made a docker to a linux nuc 7 and is running faster 300mS(network server) as the new i7 10700 windows isntalation 750mS(localhost server)..... Is there anyone that uses JETSON NANO 2GB to say in how mS working?
4GB
[GIN] 2020/12/19 - 14:54:48 | 200 | 622.795749ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:54:56 | 200 | 467.233481ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:01 | 200 | 603.681984ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:04 | 200 | 619.815421ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:12 | 200 | 982.65425ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:15 | 200 | 977.080009ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:18 | 200 | 614.320557ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:52 | 200 | 615.467718ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:55 | 200 | 687.367886ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:55:58 | 200 | 664.312052ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:11 | 200 | 690.881715ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:14 | 200 | 623.645039ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:18 | 200 | 637.22545ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:21 | 200 | 619.848391ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:24 | 200 | 682.57585ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:27 | 200 | 701.910141ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:31 | 200 | 897.778893ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:33 | 200 | 599.392303ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:36 | 200 | 688.946672ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:49 | 200 | 662.386643ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:52 | 200 | 735.458348ms | 192.168.3.10 | POST /v1/vision/detection
[GIN] 2020/12/19 - 14:56:55 | 200 | 669.741029ms | 192.168.3.10 | POST /v1/vision/detection
Realy realy good.this numbers have the i7 10700 windows that working together with the BI.
For anyone following along- it most likely will not be hard for you to do- This is my first foray trying to use Docker, cutting and pasting code (No way in hell could I write any) using Portainer, WSL, WSL2, ect.
Village Guy- NO. Just woke up LOL it was (is) kicking my butt, I had to give up last night I was pretty frustrated. I see John has sent me a couple replies that I need to look at. I literally am 1 step from completion. I have the stinking model built, but the last step in deploying it is what has me stumped. I'm on holiday for the next 3 weeks so it will get figured out or else I am going to have a very large electronics fire. LOL.
Windows Deepstack CPU GPU
Release DeepStack Windows Version - Beta · johnolafenwa/DeepStack
Native Windows Version of DeepStack CPU Installation Download and run DeepStack CPU Beta GPU Installation Download and Install CUDA 10.1 from here https://developer.nvidia.com/cuda-10.1-download-a...
WOW!!!
GPU version
Village Guy
Pulling my weight
Have you tried a period instead of a colon. I suspect the software thinks you are adding a port number.
Village Guy
Pulling my weight
I figured as much.Sorry I meant comma
That worked BTW. Now to see if this &^%$# new model is going to work.....so close.