+
+
+import onnxruntime as ort
+
+# Load the model and create InferenceSession
+model_path = "path/to/your/onnx/model"
+session = ort.InferenceSession(model_path)
+
+# Load and preprocess the input image inputTensor
+...
+
+# Run inference
+outputs = session.run(None, {"input": inputTensor})
+print(outputs)
+ Learn more
+
+
+
+
+import ai.onnxruntime.*;
+
+// Load the model and create InferenceSession
+String modelPath = "path/to/your/onnx/model";
+OrtEnvironment env = OrtEnvironment.getEnvironment();
+OrtSession session = env.createSession(modelPath);
+
+// Load and preprocess the input image inputTensor
+...
+
+// Run inference
+OrtSession.Result outputs = session.run(inputTensor);
+System.out.println(outputs.get(0).getTensor().getFloatBuffer().get(0));
+ Learn more
+
+
+
+
+import * as ort from "onnxruntime-web";
+
+// Load the model and create InferenceSession
+const modelPath = "path/to/your/onnx/model";
+const session = await ort.InferenceSession.create(modelPath);
+
+// Load and preprocess the input image to inputTensor
+...
+
+// Run inference
+const outputs = await session.run({ input: inputTensor });
+console.log(outputs);
+ Learn more
+
+
+
+
+#include "onnxruntime_cxx_api.h"
+
+// Load the model and create InferenceSession
+Ort::Env env;
+std::string model_path = "path/to/your/onnx/model";
+Ort::Session session(env, model_path, Ort::SessionOptions{ nullptr });
+
+// Load and preprocess the input image to
+// inputTensor, inputNames, and outputNames
+...
+
+// Run inference
+std::vector outputTensors =
+ session.Run(Ort::RunOptions{nullptr},
+ inputNames.data(),
+ &inputTensor,
+ inputNames.size(),
+ outputNames.data(),
+ outputNames.size());
+
+const float* outputDataPtr = outputTensors[0].GetTensorMutableData();
+std::cout << outputDataPtr[0] << std::endl;
+ Learn more
+
+
+
+
+using Microsoft.ML.OnnxRuntime;
+
+// Load the model and create InferenceSession
+string model_path = "path/to/your/onnx/model";
+var session = new InferenceSession(model_path);
+
+// Load and preprocess the input image to inputTensor
+...
+
+// Run inference
+var outputs = session.Run(inputTensor).ToList();
+Console.WriteLine(outputs[0].AsTensor()[0]);
+ Learn more
+
+
+
