code formatted

src/ofxOnnxRuntime.cpp

@@ -66,8 +66,8 @@ namespace ofxOnnxRuntime
 		// 4. output names & output dimms
 		num_outputs = ort_session->GetOutputCount();
 		output_node_names.resize(num_outputs);
-        output_node_dims.clear();
-        output_values.clear();
+		output_node_dims.clear();
+		output_values.clear();
 		for (unsigned int i = 0; i < num_outputs; ++i)
 		{
 			output_node_names[i] = ort_session->GetOutputName(i, allocator);
@@ -75,7 +75,7 @@ namespace ofxOnnxRuntime
 			auto output_tensor_info = output_type_info.GetTensorTypeAndShapeInfo();
 			auto output_dims = output_tensor_info.GetShape();
 			output_node_dims.emplace_back(output_dims);
-            output_values.emplace_back(nullptr);
+			output_values.emplace_back(nullptr);
 		}
 	}
 

src/ofxOnnxRuntime.h

@@ -20,7 +20,7 @@ namespace ofxOnnxRuntime
 	class BaseHandler
 	{
 	public:
-        BaseHandler() {}
+		BaseHandler() {}
 
 		void setup(const std::string& onnx_path, const BaseSetting& base_setting = BaseSetting{ INFER_CPU, 0 });
 		void setup2(const std::string& onnx_path, const Ort::SessionOptions& session_options);
@@ -40,8 +40,8 @@ namespace ofxOnnxRuntime
 		Ort::MemoryInfo memory_info_handler = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
 		std::vector<const char *> output_node_names;
 		std::vector<std::vector<int64_t>> output_node_dims; // >=1 outputs
-        std::vector<Ort::Value> output_values;
-        Ort::Value dummy_tensor{nullptr};
+		std::vector<Ort::Value> output_values;
+		Ort::Value dummy_tensor{ nullptr };
 		int num_outputs = 1;
 	};
 }