Image Classification on ARM CPU: SqueezeNet on Raspberry Pi using MATLAB
See a demonstration of image classification using deep learning on a Raspberry Pi™ from MATLAB using the Raspberry Pi support package.
- Deep Learning Inference for Object Detection on Raspberry Pi: http://bit.ly/2E5I8zp
- Raspberry Pi Support from MATLAB: http://bit.ly/2GLCIe2
- Deep Learning Prediction with ARM Compute: https://bit.ly/2ZBYQyU
MATLAB provides a complete integrated workflow for engineers and scientists to explore, prototype, and deploy deep learning algorithms in a familiar development environment with built-in higher-level apps and libraries.
Using MATLAB Coder™, you can generate C++ code for the complete inference pipeline with image acquisition, preprocessing, and postprocessing around a trained network and deploy to any ARM® Cortex-A based platform, such as the Raspberry Pi or NXP™ i.MX family of processors.
- Deep Learning Inference for Object Detection on Raspberry Pi: http://bit.ly/2E5I8zp
- Raspberry Pi Support from MATLAB: http://bit.ly/2GLCIe2
- Deep Learning Prediction with ARM Compute: https://bit.ly/2ZBYQyU
MATLAB provides a complete integrated workflow for engineers and scientists to explore, prototype, and deploy deep learning algorithms in a familiar development environment with built-in higher-level apps and libraries.
Using MATLAB Coder™, you can generate C++ code for the complete inference pipeline with image acquisition, preprocessing, and postprocessing around a trained network and deploy to any ARM® Cortex-A based platform, such as the Raspberry Pi or NXP™ i.MX family of processors.
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