v3.1.0

💥 Breaking Changes

Changes in the event imageCaptured. Add the image quality parameters:

• darkness: image darkness classification;
• lightness: image lightness classification;
• sharpness: image sharpness classification;

Before:

imageCaptured(
    type: string, 
    count: number, 
    total: number, 
    imagePath: string,
    inferences: []
)

Now:

imageCaptured(
    type: string, 
    count: number, 
    total: number, 
    imagePath: string,
    inferences: []
    darkness: number, 
    lightness: number,
    sharpness: number
)

✨ New Feature

Image Quality

Event	Parameters	Description
imageCaptured	{ type: string, count: number, total: number, image: object = { path: string, source: any, binary: any }, inferences: [{ ['model name']: model output }], darkness: number, lightness: number, sharpness: number }	Must have started capture type of face/frame. Emitted when the face image file saved: type: "face" or "frame" count: current index total: total to create image.path: the face/frame image path image.source: the blob file image.binary: the blob file inferences: An Array with models output darkness: image darkness classification. lightness: image lightness classification. sharpness: image sharpness classification.

Face Contours for iOS

Function	Parameters	Valid values	Return Type	Description
setFaceContours	enable: boolean	true or false	void	Enable/disable display list of points on a detected face.
setFaceContoursColor	color: string	Hexadecimal color	void	Set face contours color.

🐛 Bug Fix

Android

• Fix qrcode reading in specific devices;
• Fix face analysis when using the back camera lens;

iOS

• Fix drawing face bounding box;
• Fix face analysis when using the back camera lens;

📝 Update Readme

• Update project description;
• Update image captured event usage;
• Update face contours description;

⬆️ Upgrade Dependencies

• android-yoonit-facefy: update from 2.9.0 to 2.10.0;
• ios-yoonit-camera: update from 2.5.0 to 2.6.0;