/**
* @brief Enumeration for inference backend.
- * @MV_INFERENCE_BACKEND_OPENCV An open source computer vision and machine learning
+ * #MV_INFERENCE_BACKEND_OPENCV An open source computer vision and machine learning
* software library.
* (https://opencv.org/about/)
- * @MV_INFERENCE_BACKEND_TFLITE Google-introduced open source inference engine for embedded systems,
+ * #MV_INFERENCE_BACKEND_TFLITE Google-introduced open source inference engine for embedded systems,
* which runs Tensorflow Lite model.
* (https://www.tensorflow.org/lite/guide/get_started)
- * @MV_INFERENCE_BACKEND_ARMNN ARM-introduced open source inference engine for CPUs, GPUs and NPUs, which
+ * #MV_INFERENCE_BACKEND_ARMNN ARM-introduced open source inference engine for CPUs, GPUs and NPUs, which
* enables efficient translation of existing neural network frameworks
* such as TensorFlow, TensorFlow Lite and Caffes, allowing them to
* run efficiently without modification on Embedded hardware.
* (https://developer.arm.com/ip-products/processors/machine-learning/arm-nn)
- * @MV_INFERENCE_BACKEND_MLAPI Samsung-introduced open source ML single API framework of NNStreamer, which
+ * #MV_INFERENCE_BACKEND_MLAPI Samsung-introduced open source ML single API framework of NNStreamer, which
* runs various NN models via tensor filters of NNStreamer.
* (https://github.com/nnstreamer/nnstreamer)
- * @MV_INFERENCE_BACKEND_ONE Samsung-introduced open source inference engine called On-device Neural Engine, which
+ * #MV_INFERENCE_BACKEND_ONE Samsung-introduced open source inference engine called On-device Neural Engine, which
* performs inference of a given NN model on various devices such as CPU, GPU, DSP and NPU.
* (https://github.com/Samsung/ONE)
*