DeepStack LPR Custom Model

[MikeLud1]

Attached is a DeepStack custom model that can be used to confirm if a license plate is in the FOV of your LPR camera. The DeepStack labels for the model are "DayPlate" and "NightPlate".

Let me know how the custom model works for you. If you are having poor results and want to add your LPR images to the model let me know and I will post instructions on how to label the images so I can added them to the custom model.

This model was created with the help of @aesterling. Below are the states where the plates were captured and the amount of images used to train the model.

State Where Plates Were Captured	Day Plate Count Used For Training the Custom Model	Night Plate Count Used For Training the Custom Model
New York	530	530
Minnesota	291	103

 

[wittaj]

Awesome. Thanks for creating this! This is a great model for those using Plate Recognizer with BI.

So the items we put in DS are

Day Plate
Night Plate

 

[MikeLud1]

Below are the custom model training results.

 

[MikeLud1]

Awesome. Thanks for creating this! This is a great model for those using Plate Recognizer with BI.

So the items we put in DS are

Day Plate
Night Plate

Below is how I have the DS AI Trigger set


Also I have an Alert Action to trigger an overview camera.

 

[MikeLud1]

Below are plate captures right before and right after my LPR camera changed from day settings to night settings

 

[Gargoile]

I'll have to try this when I get my BI up and running. Thanks for sharing.

 

[aesterling]

Nice job, @MikeLud1, glad I could contribute my LPR images to help train the model. This is what I've been using to only submit LPR images with a confirmed license plate to Plate Recognizer to stay below the monthly quota. The addition of night images helps, as well!

Thanks!

 

[MikeLud1]

There is a new version of the DeepStack LPR Custom Model in the first post. There was a BI issue with having spaces in the labels, so the new model labels are "DayPlate" and "NightPlate".

Attached is a DeepStack custom model that can be used to confirm if a license plate is in the FOV of your LPR camera. The DeepStack labels for the model are "DayPlate" and "NightPlate".

Let me know how the custom model works for you. If you are having poor results and want to add your LPR images to the model let me know and I will post instructions on how to label the images so I can added them to the custom model.

This model was created with the help of @aesterling. Below are the states where the plates were captured and the amount of images used to train the model.

State Where Plates Were Captured	Day Plate Count Used For Training the Custom Model	Night Plate Count Used For Training the Custom Model
New York	530	530
Minnesota	291	103

View attachment 108342








View attachment 108343

 

[EMPIRETECANDY]

Wooo, that is really fantastic, thanks @MikeLud1

 

[EMPIRETECANDY]

I showed Mike's post to some Z12E BI users, they are very happy. So i have to say

 

[MikeLud1]

I had BI add some features to the camera's AI. They added faster analyze times also added is Mark as vehicle so if you are using Plate Recognizer BI will only send images that has a plate in them.

 

[dimammx]

Awesome job adding extra option to BI, in which version it comes in?

 

[wittaj]

Awesome job adding extra option to BI, in which version it comes in?

The ability to check box for confirmed vehicle alerts was added with version 5.4.7 in the end of May.

 

[dimammx]

I was talking about Mark As Vehicle: option which sounds like an option too use custom tags to tell BI what you want to consider a vehicle

 

[MikeLud1]

I was talking about Mark As Vehicle: option which sounds like an option too use custom tags to tell BI what you want to consider a vehicle

That was added about a week ago V5.3.3.2

 

[dimammx]

Not to hijack the tread but anyone running more then 1 custom Deeps tack models? Whenever i have more than 1 custom model processing time increases to 2 sec and after few requests just freezes.

 

[MikeLud1]

Not to hijack the tread but anyone running more then 1 custom Deeps tack models? Whenever i have more than 1 custom model processing time increases to 2 sec and after few requests just freezes.

You are probably using the CPU version of DeepStack and it can not handle more than one model

 

[dimammx]

You are probably using the CPU version of DeepStack and it can not handle more than one model

No it is GPU with under 100ms average processing time it is just as soon as 2nd custom model added times increase to 2-3 seconds and shell freezes, so just trying to see if people are able to run 2 models or more.

 

[MikeLud1]

Attached is a DeepStack custom model that can be used to confirm if a license plate is in the FOV of your LPR camera. The DeepStack labels for the model are "DayPlate" and "NightPlate".

Let me know how the custom model works for you. If you are having poor results and want to add your LPR images to the model let me know and I will post instructions on how to label the images so I can added them to the custom model.

This model was created with the help of @aesterling. Below are the states where the plates were captured and the amount of images used to train the model.

State Where Plates Were Captured	Day Plate Count Used For Training the Custom Model	Night Plate Count Used For Training the Custom Model
New York	530	530
Minnesota	291	103

View attachment 108342








View attachment 108343

There is a new version of the DeepStack LPR Custom Model in the first post. This version should see a big improvement in the analyze times for CPU version of DS and minor improvement in the analyze times for GPU version of DS

 

[aesterling]

There is a new version of the DeepStack LPR Custom Model in the first post. This version should see a big improvement in the analyze times for CPU version of DS and minor improvement in the analyze times for GPU version of DS

That's great! What allows for these improvements?