Search results

That must be why it was recalled.

I didn't see that it was pulled. Well, then ignore my last post before this. LOL

Did you check the config option in BI static objects, it should show you what it has found as static. You can then adjust the parameters BI uses to consider something static or not. It will allow you to check those changes right there when you click Analyse Now button. Luckily my BI works...

Set up your zones but do not enable motion detection in BI. I use my camera's (Dahau / Hikvision) cameras with built-in AI to trigger BI as external/ONVIF triggers. I set up zones I want to be checked by AI without BI motion detection. Go into the motion detection setting in BI to set up the...

You need to keep static object analysis turned on. BI/CP will not look for static objects to check against. It will treat every object as new causing alerts for parked cars, etc like you said.

I had the same problem as you. Mine would be fine at first start, but not too much later I would find BI saying Ai not responding errors. I could get it back running smoothly only to find it crashing BI, lockups, etc. It was due to lack of free memory I found out. It would go from 55% free...

This? Sound Files for Blue Iris | IP Cam Talk

Been running CodeProject.AI just about from the start of their gpu Cuda support and couldn't be happier. I only have a gtx 1060 3 gb gpu. DS uses a lot more resources especially gpu memory on my setup. I would get DS stopped responding randomly all the time. Not so with CodeProject.AI. I can...

It shouldn't matter the resolution of the camera (to a point) as Blue Iris /DS resizes all images down to 640 or less depending on your settings. (High/med/low) I would use one of Mikes models, or yolov5m.pt, or yolov5l.pt, yolov5s.pt depending on what hardware you're using.

Get the 6GB version. I have the 3GB 1060 and I will get the occasional Ai not responding if I have too many custom models loaded/being used with Deep Stack. Or it just would not start DS at all, and/or Blue Iris would stop responding. I found it works best to load maybe 2 or three custom ones...

I changed the settings to high, and x-large to better match was DS and BI used. I was using yolov5l model also. I let it run for some time. Just watching it I could tell it slowed down some, but I was not sure, so I left it to do its thing. I checked the logs later and it went from low 60ms...

I think I found part of my question out. Resolution = Mode in Blue Iris, and Deep Stack. So, project code is running on medium settings compared to high DS was using. This would explain how project code is so fast. Or part of it anyways. I think sense ai is faster regardless of the mode BI...

Yeah, I can see home that would be really confusing to someone that hasn't followed both threads, and CodeProject + Deepstack. I agree the poster should revise the post. MikeLud, please see to it ASAP! No, wait do it right after you start the Yolov5x training of your general model. LOL I am...

I will take a van as a train over a stray dog sending me alerts while I sleep saying there is a person at my front door at 2am. That actually happened, Or better yet a tree as a person. I have not had any tree people (even without masking off the areas) sense moving to 5x. I am sure we will...

Yeah, it's not the cleanest way to disable the ai. It should get better once BI gets better integration with Sense ai.

I noticed that face, face lite, face Rec high. That is my next thing to play with.

BI can do it from the AI page. Or you can edit the json file to turn it off for good. Change the object detection to false. Your custom object detections should still work. Try just turning it off inside BI/AI/uncheck default detection. Stop and restart the AI on that same page. Make sure...

Did you try the yolov5l? It seems more constant time wise. (Like 60 to 80 ms) I am using 5l for more of my cameras, and 5x for my security threat zones, (front/rear door/my cars) 5l is accurate enough to actually have me use it on all my cameras, although the accuracy of 5x is hard to not use...

Mike, Could you shed some light on what these different settings for sense ai do? I get the resolution, but what are the resolution of images are fed to the AI models for low,med,high? I tried high with yolov5x and I was getting person detections of 70 to 80% of people inside their cars...

You may want to try yolov5s, it lacks the accuracy of the 5l, and 5x models. But it still a leap forward to what the models mike had done. Hopefully he will be able to find the time to retrain his models with 5l and 5x. That would be a fast lean and accurate model(s)! (Fingers crossed!) You...

What are you running it with? CPU? GPU (if so what kind)? What about the yolov5x, did you try it anyway?

I just rechecked I am getting detection times around 60, and my gpu isn't hammered any longer. The only change I did was turn off sense ai built in model. Weird... If you retrained your model with yolov5x and made it sleek I can only imagine the detection times.

The top post should have it all listed: (1) IP Cam Talk Custom Community DeepStack Model | IP Cam Talk More tech info: GitHub - MikeLud/DeepStack-Security-Camera-Models

Here are some tests using the sense ai test images. Notice the last ones from "menagerie", general. LOL

I have gtx 1060 3gb. I was using the general model and combined depending on if I would be alerted at 3am or not on a cam. General was good at catching everything but high false positives. Great for cars and streets. Detection times Sub 90 ms. I only use it on my front/back door and the cam on...

I have been playing with the model yolov5x and it is so far the most accurate model. It really hits my gpu. It uses 50+% of it compared to 10% on most. No trees as people, dogs as people, etc so far. There are others less taxing to try if it too much for someone's system. You can get the .PT...

My BI server is a mini-pc, ASRock DeskMini X300. I used one of its m.2 nvme slots to add a full size pci slot. The adapters are not too expensive, and they work well. The gpu a GTX 1060 sits next to the pc on a stand. I can run any Gtx 7 series gpu on up to RTX. 1060 was good for power draw...

I have moved over to CP Sense Ai also. At least 2-3 faster than DS. So far so good. As stable as DS...

You can put them all together like mine: Required AI objects: amazon,dhl,fedex,ups,usps,garbage:85,homedepot,ikea,lowes,target,uhaul,walmart That is if you wanted them all to send push or whatever alerts. I am still looking into what this model gives detects, false or correct. Thus I have it...

I've done both ways. I have an AMD video card so I thought I might as well use and leave the Nvidia dedicated to Deep Stack. But before that, I drove my monitor and DS off the same GPU with no noticeable slowdowns or stability issues. One thing I would not try is using an NVidia GPU for Deep...