Add license and readme.

Change-Id: I7197a99f2aa911008bb61a4227a1cd5c820b3de1

LICENSE.md

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+The Clear BSD License
+
+Copyright (c) 2018 - 2022, Acconeer AB
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS
+LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
+GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
+HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
+OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+-------------------------------------------------------------------------------
+
+Some software in this repository is not written by Acconeer AB and is licensed
+under other terms and conditions. See license files in the subdirectories for
+the external software components.

README.md

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+# Carpet detection
+
+This project will guide you through how to get started with carpet detection, using Acconeer's A121 sensor.
+
+In this repo, you will find
+- data: A folder with data, used to train the model. Once you have run through the example with the supplied data, feel free to record you own data.
+- model_development.ipynb: A notebook guiding you through the processes of feature extraction, model definition, training and evaluation.
+- realtime_deployment.py: A python script executing the classification model in realtime.
+- utils.py: A python script containing util functions.
+
+If you want to learn more about Acconeer's sensors, tools and algorithms, please visit the [Documentation site](https://docs.acconeer.com/en/latest/).
+
+For information on what hardware to get and how to get started with the sensor, please visit [Acconeer's Innovation Lab](https://www.acconeer.com/innovation_lab/algorithm-for-gesture-control/).