| # 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" (http://localhost:4800/studio/116394) 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 | |