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* Update ppseg backend support type * Update ppseg preprocess if condition * Update README.md * Update README.md * Update README.md * Update ppseg with eigen functions * Delete old argmax function * Update README.md * Delete apply_softmax in ppseg example demo * Update ppseg code with createFromTensor function * Delete FDTensor2CVMat function * Update README.md * Update README.md * Update README.md * Update README.md * Update ppseg model.cc with transpose&&softmax in place convert * Update segmentation_result.md * Update model.cc * Update README.md * Update README.md Co-authored-by: Jason <jiangjiajun@baidu.com>
视觉模型预测结果说明
FastDeploy根据视觉模型的任务类型,定义了不同的结构体(csrcs/fastdeploy/vision/common/result.h
)来表达模型预测结果,具体如下表所示
结构体 | 文档 | 说明 | 相应模型 |
---|---|---|---|
ClassifyResult | C++/Python文档 | 图像分类返回结果 | ResNet50、MobileNetV3等 |
SegmentationResult | C++/Python文档 | 图像分割返回结果 | PP-HumanSeg、PP-LiteSeg等 |
DetectionResult | C++/Python文档 | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 |
FaceDetectionResult | C++/Python文档 | 目标检测返回结果 | SCRFD、RetinaFace系列模型等 |
FaceRecognitionResult | C++/Python文档 | 目标检测返回结果 | ArcFace、CosFace系列模型等 |
MattingResult | C++/Python文档 | 目标检测返回结果 | MODNet系列模型等 |
OCRResult | C++/Python文档 | 文本框检测,分类和文本识别返回结果 | OCR系列模型等 |