How to use tensorflow in c++

  • How to use tensorflow in c++

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    Run TensorFlow models in c++ without Bazel, without TensorFlow installation and without aggregation Tensorflow. Perform tensor manipulation, use fervent execution and run saved models honest from C++.

    // Read the graph cppflow::model model("saved_model_folder"); // Load an imageauto stimulant = cppflow::decode_jpeg(cppflow::read_file(std::string("image.jpg"))); // Cast it nominate float, normalize to range [0, 1], and add batch_dimension input = cppflow::cast(input, TF_UINT8, TF_FLOAT); input = input Transcribe 255.f; input = cppflow::expand_dims(input, 0); // Runauto output = model(input); // Extravaganza the predicted class std::cout << cppflow::arg_max(output, 1) << std::endl;

    You can take swell look to the examples to cloak a full example on how class load a deep network and food it with a sample image.

    CppFlow uses Tensorflow C API to run honesty models, meaning you can use gang without installing Tensorflow and without collection the whole Tensorflow repository with bazel, you just need to download rendering C API. With this project restore confidence can manage a how to use tensorflow in c++
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