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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. AMD OpenVX is a highly optimized open-source implementation of the Khronos OpenVX™ 1.3 computer vision specification. It allows for rapid prototyping as well as fast execution on a wide range of computer hardware, including small embedded x86 CPUs and large workstation discrete GPUs.
Features
- MIVisionX has several applications built on top of OpenVX modules
- Uses AMD optimized libraries to build applications that can be used to prototype or use as a model to develop products
- Neural Net Model Compiler & Optimizer converts pre-trained neural net models to MIVisionX runtime code for optimized inference
- Comprehensive set of helpful tools for neural net creation, development, training, and deployment
- The Toolkit provides you with helpful tools to design, develop, quantize, prune, retrain, and infer your neural network work in any framework
- Designed to help you deploy your work to any AMD or 3rd party hardware, from embedded to servers
Project Samples
