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Merge pull request #21607 from fengyuentau:fix_FaceDetectorYN_dynamic_shape
Use YuNet of fixed input shape to fix not-supported-dynamic-zero-shape for FaceDetectorYN * use yunet with input of fixed shape * update yunet used in face recognition regression
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@ -2614,9 +2614,7 @@ void ONNXImporter::parseShape(LayerParams& layerParams, const opencv_onnx::NodeP
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if (isDynamicShape)
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{
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CV_LOG_ERROR(NULL, "DNN/ONNX(Shape): dynamic 'zero' shapes are not supported, input " << toString(inpShape, node_proto.input(0)));
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// FIXIT repair assertion
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// Disabled to pass face detector tests from #20422
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// CV_Assert(!isDynamicShape); // not supported
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CV_Assert(!isDynamicShape); // not supported
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}
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addConstant(node_proto.output(0), shapeMat);
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}
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@ -78,7 +78,7 @@ TEST(Objdetect_face_detection, regression)
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// }
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// Initialize detector
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std::string model = findDataFile("dnn/onnx/models/yunet-202109.onnx", false);
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std::string model = findDataFile("dnn/onnx/models/yunet-202202.onnx", false);
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Ptr<FaceDetectorYN> faceDetector = FaceDetectorYN::create(model, "", Size(300, 300));
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faceDetector->setScoreThreshold(0.7f);
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@ -178,7 +178,7 @@ TEST(Objdetect_face_recognition, regression)
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}
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// Initialize detector
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std::string detect_model = findDataFile("dnn/onnx/models/yunet-202109.onnx", false);
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std::string detect_model = findDataFile("dnn/onnx/models/yunet-202202.onnx", false);
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Ptr<FaceDetectorYN> faceDetector = FaceDetectorYN::create(detect_model, "", Size(150, 150), score_thresh, nms_thresh);
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std::string recog_model = findDataFile("dnn/onnx/models/face_recognizer_fast.onnx", false);
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