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简体中文| English

Prediction Results of the Vision Model

FastDeploy defines different structures (fastdeploy/vision/common/result.h) to express the model prediction results according to the vision model task.

Structure Document Description Corresponding Model
ClassifyResult C++/Python document Image classification return results ResNet50, MobileNetV3, etc.
SegmentationResult C++/Python document Image segmentation result PP-HumanSeg, PP-LiteSeg, etc.
DetectionResult C++/Python document Target detection result PP-YOLOE, YOLOv7, etc.
FaceDetectionResult C++/Python document Result of face detection SCRFD, RetinaFace, etc.
FaceAlignmentResult C++/Python document Face alignment result(Face keypoint detection) PFLD model, etc.
KeyPointDetectionResult C++/Python document Result of keypoint detection PP-Tinypose model, etc.
FaceRecognitionResult C++/Python document Result of face recognition ArcFace, CosFace, etc.
MattingResult C++/Python document Image/video keying result MODNet, RVM, etc.
OCRResult C++/Python document Text box detection, classification and text recognition result OCR, etc.
MOTResult C++/Python document Multi-target tracking result pptracking, etc.
HeadPoseResult C++/Python document Head pose estimation result FSANet, etc.