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Fix mutex lock issues

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This commit is contained in:
Tuan Nghia Nguyen
2026-04-13 19:48:32 +10:00
parent 56a8f09adf
commit 844d7396b2
30 changed files with 445 additions and 575 deletions
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23
modules/ANSODEngine/ANSONNXPOSE.cpp
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@@ -1262,6 +1262,7 @@ namespace ANSCENTER {
}
bool ANSONNXPOSE::Initialize(std::string licenseKey, ModelConfig modelConfig, const std::string& modelZipFilePath, const std::string& modelZipPassword, std::string& labelMap) {
std::lock_guard<std::recursive_mutex> lock(_mutex);
ModelLoadingGuard mlg(_modelLoading);
try {
_modelLoadValid = false;
bool result = ANSODBase::Initialize(licenseKey, modelConfig, modelZipFilePath, modelZipPassword, labelMap);
@@ -1324,6 +1325,7 @@ namespace ANSCENTER {
}
bool ANSONNXPOSE::LoadModel(const std::string& modelZipFilePath, const std::string& modelZipPassword) {
std::lock_guard<std::recursive_mutex> lock(_mutex);
ModelLoadingGuard mlg(_modelLoading);
try {
bool result = ANSODBase::LoadModel(modelZipFilePath, modelZipPassword);
if (!result) return false;
@@ -1380,6 +1382,7 @@ namespace ANSCENTER {
}
bool ANSONNXPOSE::LoadModelFromFolder(std::string licenseKey, ModelConfig modelConfig, std::string modelName, std::string className, const std::string& modelFolder, std::string& labelMap) {
std::lock_guard<std::recursive_mutex> lock(_mutex);
ModelLoadingGuard mlg(_modelLoading);
try {
bool result = ANSODBase::LoadModelFromFolder(licenseKey, modelConfig, modelName, className, modelFolder, labelMap);
if (!result) return false;
@@ -1444,25 +1447,7 @@ namespace ANSCENTER {
}
}
std::vector<Object> ANSONNXPOSE::RunInference(const cv::Mat& input, const std::string& camera_id) {
std::lock_guard<std::recursive_mutex> lock(_mutex);
if (!_modelLoadValid) {
this->_logger.LogFatal("ANSONNXPOSE::RunInference", "Cannot load the TensorRT model. Please check if it is exist", __FILE__, __LINE__);
std::vector<Object> result;
result.clear();
return result;
}
if (!_licenseValid) {
this->_logger.LogFatal("ANSONNXPOSE::RunInference", "Runtime license is not valid or expired. Please contact ANSCENTER", __FILE__, __LINE__);
std::vector<Object> result;
result.clear();
return result;
}
if (!_isInitialized) {
this->_logger.LogFatal("ANSONNXPOSE::RunInference", "Model is not initialized", __FILE__, __LINE__);
std::vector<Object> result;
result.clear();
return result;
}
if (!PreInferenceCheck("ANSONNXPOSE::RunInference")) return {};
try {
std::vector<Object> result;
if (input.empty()) return result;