I'm new in this subject but i tried a lots to detect face and draw face points but i'm not able to do face masking in live camera.
I tried Mood me SDK..
How can i implement face masking like snapchat and B612 etc.. application in android.
You can try using MirrorReality.
Related
I am fairly new to Android and especially to the various camera systems in this platform. I'm building an app where I need to integrate ARCore only to track the camera pose (among other things like objects in the scene, planes etc). I don't want to augment anything in the "real world" , so I am not looking to preview the frames being fed to the camera. I've looked through all of the examples in the arcore-sdk and sample code in google's documentation. None of them cover my use case where I want to be able to fetch camera's pose without previewing the camera images onto a surface view or something. I also don't want to 'fake' it by creating a view and hiding it. I would like to know if anyone has experience with such a thing or any ideas how we can achieve it or if we can achieve this at all? Does ARCore even support this?
UPDATE: I found this https://github.com/google-ar/arcore-android-sdk/issues/259 where they mention that it's possible with just an OpenGL context. But I have no clue how to get started. Any samples or pointers would be appreciated!
You can run an ArSession for tracking. ArSession doesn't depend on View.
I've got a problem with Google's MLKit face detector, as it returns a face even if the face is half-covered by something and this makes the face recognition model I use to think it's a new face, so I would like to know a solution for this problem, maybe a different face detector or another solution using MLKit face detector.
Thanks in advance.
ML kit works on data. Your results will be more accurate as much as more data you will provide to your model.If its taking half covered image it will also be beneficial for your trained model. You can train model by providing many images like with eye close, eyes open, left face, right face, look down, look up, zoom or half face covered etc.Once your model have enough data then it will recognized your even if you are wearing a face mask or even if your eyes were closed.
According to my opinion MLKit is much enough to implement face detection in your app. They are also improving it contineously. Happy Coding :)
Recently Uber has released a Face Recognition feature and I'm trying to create a similar camera preview it looks like this :
I need to create a transparent circle to focus the users face to the camera. I have tried to create it from some other posted and tried to look into a similar use cases like in Zxing barcode scanner, but I still can't achieve the expected result
Hi I am using google face detection API, it detects the face and draws a rectangle over the face, I want to crop the face part only and save it as image.
Is there any API available to crop the detected face.
You have a lot of libraries here:
https://android-arsenal.com/tag/45
I am making an Android application which is based in OpenCV. I have implemented a profile face detector and I use lbpcascade_profileface.xml file. The detector runs correctly but when I put on glasses the detection is worse.
Is it a limitation of file or not? Someone know a solution?
There's also an xml for glasses. You can run it as well to detect glasses, but it won't give you the face bounding box, just the glasses bounding box.
You can of course train a new cascade with images of people wearing glasses, or if you're willing to consider face detectors outside of OpenCV, you can try one of this API's for face detection:
http://blog.mashape.com/post/53379410412/list-of-40-face-detection-recognition-apis