sebastiantombs
Known around here
Read the rest of my last post. BI initializes DS at startup telling it to use custom models and where they are.
Then why is there a separate box in each camera setup to specify custom models?Read the rest of my last post. BI initializes DS at startup telling it to use custom models and where they are.
So are you saying every camera AI instance uses all custom models unless you specify which one you want and then it only uses what you specify for each camera?So you can specify which custom model for each situation and ignore the rest.
That is correct. I am using custom models and if I tell each camera to only use one model, my detection times are the same as if I didn't have the custom model.So are you saying every camera AI instance uses all custom models unless you specify which one you want and then it only uses what you specify for each camera?
That doesn't work for me. When I add that string to the "custom models" text box, I get "nothing found" for each analyzed image. Also, the normal CPU usage of 5 to 7% for the entire machine is now sitting at 30% between python continually running and Windows Image Acquisition which is account for about 15% with python the other 10%. This is the case even when no motion events are happening and no images are being analyzed. Without the custom models folder checked there is no WIA process at all.That is correct. I am using custom models and if I tell each camera to only use one model, my detection times are the same as if I didn't have the custom model.
So if I put in custom models box for the a particular camera dark;objects:0 then it only uses the dark model and the times are the same as prior to having the custom model.
This setup then allows one to only use dark at night and default DS during the day. In my field of view the custom model seems to work best, so I have objects:0 in most of my cameras.
Only if its corrupt in github.Or the model is corrupt.
I did it multiple times before ever mentioning the issue here. I think the other thing to confirm is whether I really downloaded the right one or not. The one I downloaded is this:So you know, without a doubt that it downloaded a perfect image and when it was moved into your model directory that was also a perfect operation. Confirming it's good simply by downloading again seems to be a fairly painless, quick double check to me. Especially given that you're having a problem not many others have.
The Objects:0 isn't working for me. I set "Use custom model folder ON with C:\DeepStack\MyModels in the Global AI tab and individual cameras (6) to Trigger-> Artificial Intelligence->Custom models--Objects:0 to disable the default detection. I noticed that I am getting both "Person" and "People" detection indicator. When I ran it through Testing and Tuning Analysis with DeepStack it shows me that both Object and Dark models are running. Log shows time to analyze still relatively low [514ms] for a particular clip, with times running from 348ms to 6637ms. I am going to modify the individual cameras Custom model to dark,objects:0 to see if that makes a difference. Any thoughts? Thanks.Yes because it is running two models.
I found that dark works better even during the day. So in the camera AI tab under Custom models, put in Objects:0 and it will skip the default detection. Or put in dark:0 during the day so it only uses default.
Only use one model and the detection will come down. The :0 tells it to ignore that model.