Remove locks

modules/ANSOCR/ANSOCR.cpp

@@ -9,15 +9,6 @@ namespace ANSCENTER {
 		{
 			bool result = ANSOCRBase::Initialize(licenseKey, modelConfig, modelZipFilePath, modelZipPassword, engineMode);
 			if (!result) return false;
-			// Serialize derived init against concurrent extract re-entries on the
-			// same folder. See ModelFolderLockGuard in Utility.h.
-			ANSCENTER::ModelFolderLockGuard _flg(_modelFolder, "ANSOCR::Initialize");
-			if (!_flg.acquired()) {
-			    this->_logger.LogError("ANSOCR::Initialize",
-			        "Timed out waiting for model-folder lock: " + _modelFolder,
-			        __FILE__, __LINE__);
-			    return false;
-			}
 			auto option = fastdeploy::RuntimeOption();
 			// Add default values to modelConfig if required.
 			_modelConfig.precisionType = "fp32";
@@ -117,8 +108,6 @@ namespace ANSCENTER {
 		}
 	}
 
-
-
 	std::vector<ANSCENTER::OCRObject> ANSOCR::RunInference(const cv::Mat& input) {
 		std::vector<ANSCENTER::OCRObject> OCRObjects;
 		if (input.empty()) return OCRObjects;
@@ -184,7 +173,6 @@ namespace ANSCENTER {
 		}
 	}
 
-
 	std::vector<ANSCENTER::OCRObject> ANSOCR::RunInference(const cv::Mat& input, const std::vector<cv::Rect>& Bbox) {
 		// No coarse _mutex — ppOCR->Predict() / engine has its own internal lock
 		std::vector<ANSCENTER::OCRObject> OCRObjects;
@@ -278,7 +266,6 @@ namespace ANSCENTER {
 		}
 	}
 
-
 	std::vector<ANSCENTER::OCRObject> ANSOCR::RunInference(const cv::Mat& input, const std::vector<cv::Rect>& Bbox, const std::string& cameraId) {
 		// No coarse _mutex — ppOCR->Predict() / engine has its own internal lock
 		std::vector<ANSCENTER::OCRObject> OCRObjects;
@@ -348,7 +335,6 @@ namespace ANSCENTER {
 						ocrObject.box.width = rook_points[1].x - rook_points[0].x;
 						ocrObject.box.height = rook_points[2].y - rook_points[1].y;
 
-
 						ocrObject.classId = res_ocr.cls_labels[n];
 						ocrObject.confidence = res_ocr.rec_scores[n];
 						ocrObject.className = res_ocr.text[n];