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19 lines
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[English](README.md)| 简体中文
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# 视觉模型预测结果说明
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FastDeploy根据视觉模型的任务类型，定义了不同的结构体(`fastdeploy/vision/common/result.h`)来表达模型预测结果，具体如下表所示
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| 结构体 | 文档 | 说明 | 相应模型 |
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|:------------------------|:----------------------------------------------|:------------------|:------------------------|
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| ClassifyResult | [C++/Python文档](./classification_result.md) | 图像分类返回结果 | ResNet50、MobileNetV3等 |
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| SegmentationResult | [C++/Python文档](./segmentation_result.md) | 图像分割返回结果 | PP-HumanSeg、PP-LiteSeg等 |
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| DetectionResult | [C++/Python文档](./detection_result.md) | 目标检测返回结果 | PP-YOLOE、YOLOv7系列模型等 |
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| FaceDetectionResult | [C++/Python文档](./face_detection_result.md) | 人脸检测返回结果 | SCRFD、RetinaFace系列模型等 |
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| FaceAlignmentResult | [C++/Python文档](./face_alignment_result.md) | 人脸对齐(人脸关键点检测)返回结果 | PFLD系列模型等 |
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| KeyPointDetectionResult | [C++/Python文档](./keypointdetection_result.md) | 关键点检测返回结果 | PP-Tinypose系列模型等 |
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| FaceRecognitionResult | [C++/Python文档](./face_recognition_result.md) | 人脸识别返回结果 | ArcFace、CosFace系列模型等 |
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| MattingResult | [C++/Python文档](./matting_result.md) | 图片/视频抠图返回结果 | MODNet、RVM系列模型等 |
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| OCRResult | [C++/Python文档](./ocr_result.md) | 文本框检测，分类和文本识别返回结果 | OCR系列模型等 |
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| MOTResult | [C++/Python文档](./mot_result.md) | 多目标跟踪返回结果 | pptracking系列模型等 |
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| HeadPoseResult | [C++/Python文档](./headpose_result.md) | 头部姿态估计返回结果 | FSANet系列模型等 |
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