类的使用
cn.smartjavaai.face.entity.FaceQualityResult

使用FaceQualityResult的程序包

程序包	说明
cn.smartjavaai.face.model.quality

cn.smartjavaai.face.model.quality中FaceQualityResult的使用

返回变量类型为FaceQualityResult的类型的cn.smartjavaai.face.model.quality中的方法

限定符和类型	方法和说明
R<FaceQualityResult>	Seetaface6QualityModel.evaluateBrightness(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateBrightness(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateBrightness(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateBrightness(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateBrightness(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateBrightness(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints) 亮度评估
R<FaceQualityResult>	Seetaface6QualityModel.evaluateBrightness(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateBrightness(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateClarity(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateClarity(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateClarity(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateClarity(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateClarity(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateClarity(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints) 清晰度评估
R<FaceQualityResult>	Seetaface6QualityModel.evaluateClarity(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateClarity(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateCompleteness(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateCompleteness(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateCompleteness(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateCompleteness(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateCompleteness(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateCompleteness(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints) 完整度评估
R<FaceQualityResult>	Seetaface6QualityModel.evaluateCompleteness(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateCompleteness(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluatePose(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluatePose(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluatePose(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluatePose(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluatePose(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluatePose(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints) 人脸姿态评估
R<FaceQualityResult>	Seetaface6QualityModel.evaluatePose(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluatePose(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluatePoseWithDL(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints)
R<FaceQualityResult>	Seetaface6QualityModel.evaluateResolution(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateResolution(BufferedImage image, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateResolution(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateResolution(byte[] imageData, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。
R<FaceQualityResult>	Seetaface6QualityModel.evaluateResolution(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateResolution(ai.djl.modality.cv.Image image, DetectionRectangle rectangle, List<Point> keyPoints) 人脸分辨率评估
R<FaceQualityResult>	Seetaface6QualityModel.evaluateResolution(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints)
default R<FaceQualityResult>	FaceQualityModel.evaluateResolution(String imagePath, DetectionRectangle rectangle, List<Point> keyPoints) 已过时。