Edge Impulse library for Face detection - FOMO - bigger dataset
This is a C++ library that lets you run the impulse for "Face detection - FOMO - bigger dataset" (https://studio.edgeimpulse.com/public/116394/latest) on any device. It consists of the Edge Impulse inferencing SDK - with implementations of both processing and learning blocks - and your model. You will need to include this library in your project to run your impulse locally.
Getting Started
Please refer to the following documentation to learn how to use this library:
- Deploy your model as a C++ library: https://docs.edgeimpulse.com/docs/deploy-your-model-as-a-c-library
- Running your impulse locally: https://docs.edgeimpulse.com/docs/running-your-impulse-locally-1
- C++ Inference SDK Library API Reference: https://docs.edgeimpulse.com/reference/inferencing-sdk
Example Projects
For example projects, see 'Running your impulse locally' in the docs (https://docs.edgeimpulse.com/docs/running-your-impulse-locally-1). These pages have examples for virtually any platform under the sun including Linux, Mbed OS, Zephyr, FreeRTOS, and bare-metal on a wide range of platforms. These examples also show how to enable hardware acceleration on Cortex-M, Cortex-A, ARC DSPs and other platforms.
License
Unless specifically indicated otherwise in a file, files are licensed under the Apache 2.0 license, as can be found in edge-impulse-sdk/LICENSE-apache-2.0.txt. Folders containing files under different permissive license than Apache 2.0 are listed below. Each folder contains its own license specified for its files.
- edge-impulse-sdk/CMSIS - Apache 2.0
- edge-impulse-sdk/dsp/kissfft - BSD-3-Clause
- edge-impulse-sdk/dsp/dct - MIT
- edge-impulse-sdk/tensorflow - Apache 2.0
- edge-impulse-sdk/third_party/flatbuffers - Apache 2.0
- edge-impulse-sdk/third_party/gemmlowp - Apache 2.0