ObjectTracker | Multiple object tracking with a fixed , overhead camera | Computer Vision library

Looking for example code to understand how to implement EmguCV tracker. I tried few things like in this poorly written code:

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I have Unity Editor version 2018.2.1 and Vuforia 7.2.23. If I download Vuforia core samples from assets store, I get the following error after importing the assets.. Here are the errors

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Update

I've checked with the different version of unity, it is working with Unity 2018.2.6f1 Personal which is installed on another laptop. But I've Unity 2018.2.12f1 Personal which gives the error. Is it a unity error?

I am using basic free plan of vuforia and working with Cloud recognition with vuforia. Cloud recognition part is working fine and trackable handler print the cloud recognized image name too. But when I trying to enable tracking for the tacked image target, it is only working for the very first image. After the first one, it gives the following error:

TargetSearchResult cloud-image-name could not be enabled for tracking. UnityEngine.Debug:LogError(Object) Vuforia.TargetFinder:EnableTracking(TargetSearchResult, GameObject) CloudRec:OnNewSearchResult(TargetSearchResult) (at Assets/Scripts/CloudRec.cs:66) Vuforia.ObjectRecoBehaviour:Update()

Above error indicates the following line as the issue:

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I have created a prototype application in unity using vuforia where I upload an image to myserver the server then sends the image (and associated assetbundle's link in metadata) to vuforia cloud to add it to the image target database. then in unity when camera tracks the image target I download the asset bundle to augment it.

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I have been following this great tutorial:

https://www.youtube.com/watch?v=uxrKE2VKvmc

and at some point it does this for each target, it creates a gameObject ?

If you look at the code here:

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I wanted to add tensorflow support to my android project (my own version of object detection from the demo)and didn't want to deal with bazel or cmake to build the native libraries that tensorflow uses. So as recommended through many issues posted at the tensorflow GitHub project I downloaded the latest successful nightly build from Jenkins that contains an apk file to test the object detection demo and .jar file along with the .so files from different architectures.

So I added the prebuilt libraries libtensorflow_demo.so and libtensorflow_inference.so (arm64-v8a ,armeabi-v7a, x86, x86_64) and the libandroid_tensorflow_inference_java.jar file to my libs directory.

I added these lines to my gradle :

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I'm creating a simple container system, in which my objects (all children of a class called GeneralWidget) are grouped in some containers, which are in another set of containers, and so on until all is in one Global container. I have a custom class, called GeneralContainer, in which I had to override the __str__ method to provide a describing name for my container, So I know what kind of objects or containers are stored inside of him.

I am currently writing another class called ObjectTracker in which all positions of my Objects are stored, so when a new object is created, It gives a list with its' name in it in the __init__ method to it's "parent" in my hieracy, which adds itself to the list and passes it on. At some point this list with all objects that are above the new created instance of GeneralWidget will reach the global GeneralWidget (containing all containers and widgets) , which can access the ObjectTracker-object in my main().

This is the bachground of my problem. My ObjectTracker has got a dictionary, in which every "First Level container" is a key, and all objects inside such a container are stored in dictionarys as well. So I have many encapsulated dictionarys.

As I don't know how many levels of containers there will be, I need a dynamic syntax that is independent of the number of dictionarys I need to pass unil I get to the place in the BIG dictionary that I want. A (static) call inside my ObjectRepository class would need to look something like this:

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tracking.js makes it fairly easy to detect a face on an . They have a wonderful hello world example for this, but I was wondering if anyone figured out yet how to detect a face on a element.

I tried:

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On the client side(HTML) using webcam i need to detect the face and process the face image in the middleware(python) once the processing is done the relavant name of the face has to be tagged to the face detected in the webcam.

Using tracking.js i am able to detect the face but unable to do the face recognition in the server side(python)

How each detected frame can be sent to the server from tracking.js?

How can the response (person name) from the middleware be tagged to the face detected in webcam?

i tried using webhooks but am unable to send the detected frame to the server.

using javascript, i tried with the below code script.

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