I am trying to train classifier for real time face recognition using IBM Watson in unity,i am unable to do it even after running demo. I am not actually getting where the code or scene starts.can i know how to train classifier and recognize real time face step by step?
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I'm using flutter google ml kit in my app but it shows that object detection isn't available on the ios devices but the image labelling does, so I want to know the difference between them, and using this package is totally free right with unlimited requests ?
To know the difference between image labelling and object detection
I'm prototyping mobile ml application within Unity engine.
I have trained tensorflow graph (.pb) and I want to run the model in unity mobile. (both android and ios)
With OpenCVForUnity plugin, with dnn module, I can run tensorflow graph in mobile. But the problem is that's running on CPU.
I need GPU based solution and it seems that OpenCVForUnity isn't proper approach for that.
So any idea for running graph on GPU in unity mobile enviroment?
You might want to use Barracuda, which will allow you to convert a tensorflow model and use it in cross-platform Unity applications. Unity ML-Agents uses Barracuda, so you could use their code as a reference for how to utilize your neural network.
I am trying to build a flutter app which will have two functionality.
1. Save face data
2. Recognize face based on saved face data.
I want to do this offline. The possible solution I found on google is using Firebase ML Kit, but that requires a network connection.
Is there any way to do realtime face recognition without requiring a network connection?
Thanks in advance.
Firebase ML Kit's face detection API, an on-device API, works even when there’s no network connection. Note, the functionality offered is face detection, not face recognition.
I am making my speech recognition project for PC(working on Windows 8) and new in this area.The project should have basic functionality like dictation with accuracy in email,notepad etc and should response to local commands of PC.
I am using sphinx4 for my speech recognition project.I want to know,is there any better open source API than cmu sphinx? I want better in context of accuracy and large vocabulary.
Is kaldi(deep neural network based) better than cmu sphinx(HMM based)?I want to know which is better for what?
what is difference between speech API and speech Engine,as a developer what i will require to develop my software?
Please help me to give a clear vision about above questions and if possible provide some speech recognition developer or researcher community link.
I am trying to create a AR app which recognizes numbers.I was able to do the text recognition using vuforia but numbers I didn't find any such SDK.I am also ready to write the code using c# but I am not sure where to start.