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MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference workloads on a wide range of computer hardware, including small embedded x86 CPUs, APUs, discrete GPUs, and heterogeneous servers.
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How can I debug my OpenVX application failures?
See developer help tools for OpenVX for detailed information
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How can I build MIVisionX For AMD APUs and run Computer Vision or ML Inference?
See Computer Vision and ML Inference on APU with MIVisionX for detailed information
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How do I add custom neural network layers into MIVisionX?
See Adding Custom Neural Net Layers to MIVisionX for more detailed information
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How do I look at MIVisionX GUIs on a remote machine?
See Securely run graphical applications remotely with MIVisionX for detailed information
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How do I get started with Dockers?
See Docker help page to get started
See Development workflow page for developer instructions.