MIVisionX model compiler samples

The sample applications available in samples/model_compiler_samples, demonstrate how to run inference efficiently using AMD’s open source implementation of OpenVX and OpenVX extensions. The samples review each step required to convert a pre-trained neural net model into an OpenVX graph and run this graph efficiently on the target hardware.

• Sample-1: Classification Using Pre-Trained ONNX Model

• Sample-2: Detection Using Pre-Trained Caffe Model

• Sample-3: Classification Using Pre-Trained NNEF Model

• Sample-4: Classification Using Pre-Trained Caffe Model