Flutter. Face Detection. No face detected on Samsung Galaxy A23 Android 12: Access denied finding property "ro.mediatek.platform" #287
Comments
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Similar problem with Samsung A23 #285 |
fbernaly
added
Face Detection
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Similar problem with Samsung S20 |
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@fbernaly So how to fix this issue? any suggestion? is that because the resolution output coming from camera that give us the error ? |
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This sounds related to my issue here: flutter/flutter#118350 |
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this helped flutter/packages#3277 ! |
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Glad it worked! The issue ended up being nobody was implementing YUV to NV21 correctly. The 'concatenatePlanes' approach just doesn't cut it for all cases. |
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Request streaming in NV21 format from the camera and pass that to the mlkit plugin. |
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Do we need to update anything in our plugin? |
Future _startLiveFeed() async {
final camera = cameras[_cameraIndex];
_controller = CameraController(
camera,
ResolutionPreset.high,
enableAudio: false,
inputImageFormat: defaultTargetPlatform == TargetPlatform.android
? InputImageFormat.nv21
: InputImageFormat.bgra8888,
);
// ...
Future _processCameraImage(CameraImage image) async {
final bytes = cameraImage.planes.first.bytes;
// ...Maybe add some checks that the plane length is 1 but for bgra8888 and NV21 it will always be one plane. Of course people are still free to stream in YUV420 (the default format) and do the conversion themselves, but it needs to be noted that this routine to concatenate the planes is not a working solution and will not work when the device camera includes padding in the image plane data like the devices mentioned in this issue. What will happen is the bytesPerRow will not equal the frame width and the resulting concatenated image won't be a valid frame. final WriteBuffer allBytes = WriteBuffer();
for (final Plane plane in image.planes) {
allBytes.putUint8List(plane.bytes);
}
final bytes = allBytes.done().buffer.asUint8List();You can see my examples here where I converted these frames into RGB to see what they actually look like to the MLKit plugin and it's very clear they are not valid images and is why the image recognition doesn't work on them. The official MLKit example app by google avoids this issue by using the CameraX camera and streaming directly in NV21, which the latest camera plugin can now do using my PR that was merged. |
ghost
mentioned this issue
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Thanks @acoutts , I think this will solve most of the complains and issues reported when using this plugin. I will work on this changes ASAP. |
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Based on @acoutts-nydig comments, I am updating |
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Does there have any way to crop the face when the controller is set to NV21 ? Meet some problem when convert to image. |
fbernaly
added
Image capture
The application written with Flutter, the Face Detection works ok on many other devices but does not work on Samsung Galaxy A23 Android 12.
Found this line in the Android Studio log
Google ML kit is not compatible with the processor?
Full log
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