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Migrate Android Face Detection sample to DNN.

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This commit is contained in:
Alexander Smorkalov
2023-11-27 15:38:19 +03:00
parent 1c4f441507
commit 7b1a5fb3de
15 changed files with 288 additions and 2185 deletions
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modules/objdetect/include/opencv2/objdetect/face.hpp
+24 -1
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@@ -71,7 +71,7 @@ public:
*/
CV_WRAP virtual int detect(InputArray image, OutputArray faces) = 0;
/** @brief Creates an instance of this class with given parameters
/** @brief Creates an instance of face detector class with given parameters
*
* @param model the path to the requested model
* @param config the path to the config file for compability, which is not requested for ONNX models
@@ -90,6 +90,29 @@ public:
int top_k = 5000,
int backend_id = 0,
int target_id = 0);
/** @overload
*
* @param framework Name of origin framework
* @param bufferModel A buffer with a content of binary file with weights
* @param bufferConfig A buffer with a content of text file contains network configuration
* @param input_size the size of the input image
* @param score_threshold the threshold to filter out bounding boxes of score smaller than the given value
* @param nms_threshold the threshold to suppress bounding boxes of IoU bigger than the given value
* @param top_k keep top K bboxes before NMS
* @param backend_id the id of backend
* @param target_id the id of target device
*/
CV_WRAP static Ptr<FaceDetectorYN> create(const String& framework,
const std::vector<uchar>& bufferModel,
const std::vector<uchar>& bufferConfig,
const Size& input_size,
float score_threshold = 0.9f,
float nms_threshold = 0.3f,
int top_k = 5000,
int backend_id = 0,
int target_id = 0);
};
/** @brief DNN-based face recognizer