Merge pull request opencv#26278 from Quantizs:feature-create-face-recognizer-from-buffer

Added buffer-based model loading to FaceRecognizerSF

Author: asmorkalov

modules/objdetect/include/opencv2/objdetect/face.hpp

@@ -155,6 +155,22 @@ class CV_EXPORTS_W FaceRecognizerSF
      *  @param target_id the id of target device
      */
     CV_WRAP static Ptr<FaceRecognizerSF> create(CV_WRAP_FILE_PATH const String& model, CV_WRAP_FILE_PATH const String& config, int backend_id = 0, int target_id = 0);
+
+    /**
+     *  @brief Creates an instance of this class from a buffer containing the model weights and configuration.
+     *  @param framework Name of the framework (ONNX, etc.)
+     *  @param bufferModel A buffer containing the binary model weights.
+     *  @param bufferConfig A buffer containing the network configuration.
+     *  @param backend_id The id of the backend.
+     *  @param target_id The id of the target device.
+     *
+     *  @return A pointer to the created instance of FaceRecognizerSF.
+     */
+    CV_WRAP static Ptr<FaceRecognizerSF> create(const String& framework,
+                                                const std::vector<uchar>& bufferModel,
+                                                const std::vector<uchar>& bufferConfig,
+                                                int backend_id = 0,
+                                                int target_id = 0);
 };
 
 //! @}

modules/objdetect/src/face_recognize.cpp

@@ -26,6 +26,19 @@ class FaceRecognizerSFImpl : public FaceRecognizerSF
         net.setPreferableBackend(backend_id);
         net.setPreferableTarget(target_id);
     }
+
+    FaceRecognizerSFImpl(const String& framework,
+                         const std::vector<uchar>& bufferModel,
+                         const std::vector<uchar>& bufferConfig,
+                         int backend_id, int target_id)
+    {
+        net = dnn::readNet(framework, bufferModel, bufferConfig);
+        CV_Assert(!net.empty());
+
+        net.setPreferableBackend(backend_id);
+        net.setPreferableTarget(target_id);
+    }
+
     void alignCrop(InputArray _src_img, InputArray _face_mat, OutputArray _aligned_img) const override
     {
         Mat face_mat = _face_mat.getMat();
@@ -189,4 +202,17 @@ Ptr<FaceRecognizerSF> FaceRecognizerSF::create(const String& model, const String
 #endif
 }
 
+Ptr<FaceRecognizerSF> FaceRecognizerSF::create(const String& framework,
+                                               const std::vector<uchar>& bufferModel,
+                                               const std::vector<uchar>& bufferConfig,
+                                               int backend_id, int target_id)
+{
+#ifdef HAVE_OPENCV_DNN
+    return makePtr<FaceRecognizerSFImpl>(framework, bufferModel, bufferConfig, backend_id, target_id);
+#else
+    CV_UNUSED(bufferModel); CV_UNUSED(bufferConfig); CV_UNUSED(backend_id); CV_UNUSED(target_id);
+    CV_Error(cv::Error::StsNotImplemented, "cv::FaceRecognizerSF requires enabled 'dnn' module");
+#endif
+}
+
 } // namespace cv