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AKFruitData: AK_SM_RECORDER - Azure Kinect SM Recorder

A simple GUI recorder based on Python to manage Azure Kinect camera devices in a standalone mode. Visit the project site at https://pypi.org/project/ak-sm-recorder/

SOFTWARE_PRESENTATION

Contents

  1. Pre-requisites.
  2. Functionalities.
  3. Install and run.
  4. Files and folder description.
  5. Development tools, environment, build executables.

1. Pre-requisites

  • Azure Kinect DK camera connected to the computer. Specifications can be seen in the manufacturer site.
  • SDK Azure Kinect installed.
  • pyk4a library installed. If the operating system is Windows, follow this steps. You can find test basic examples with pyk4a here.
  • In Ubuntu 20.04, we provide a script to install the camera drivers following the instructions in azure_kinect_notes.

2. Functionalities

The functionalities of the software are briefly described. Supplementary material can be found in USER's Manual.

  • [Show real time] Display images of the device in real time. Used to see where the camera is pointing.
  • [Start record] Start a video recording.
  • [Stop record] Stops a video recording in progress.
  • [Take screenshots] Take screenshots and save them in Matroska format as short videos.
  • [Take 3D point cloud capture] Take the captures as 3D point cloud data and save them in .XYZ format.
  • [Save config] Enables to the user to configure Azure Kinect devices parameters.
  • Videos and 3D cloud points can be retrieved from "RECORDER_VIDEOS/" folder.

3. Install and run

3.1 PIP quick install package

Create your Python virtual environment.

python3 -m venv ./ak_sm_recorder_venv
source ./ak_sm_recorder_venv/bin/activate
pip install --upgrade pip

# on Windows systems
.\ak_frame_extractor_venv\Scripts\activate
python.exe -m pip install --upgrade pip



pip install ak-sm-recorder  
python -m ak_sm_recorder

3.2 Install and run virtual environments using scripts provided

  • [Linux] Enter to the folder "ak_sm_recorder/"

Create virtual environment(only first time)

./creating_env_ak_sm_recorder.sh

Run script.

./ak_sm_recorder_start.sh
  • [Windows] Enter to the folder "ak_sm_recorder/"

Create virtual environment(only first time)

TODO_HERE

Run script from CMD.

./ak_sm_recorder_start.bat

4. Files and folder description

Folder description:

Folders Description
docs/ Documentation
src/ Source code
win_exe_conf/ Specifications for building .exe files with Pyinstaller.
. .

Files description:

Files Description OS
activate.bat Activate environments in Windows WIN
clean_files.bat Clean files under CMD. WIN
ak_sm_recorder_main.bat Executing main script WIN
build_pip.bat Build PIP package for distribution WIN
build_win.bat Build .EXE for distribution WIN
creating_env_ak_sm_recorder.sh Automatically creates Python environments Linux
ak_sm_recorder_start.sh Executing main script Linux
/src/ak_sm_recorder/main.py Main function used in package compilation Supported by Python
/ak_sm_recorder_main.py Python main function Supported by Python
setup.cfg Package configuration PIP Supported by Python
pyproject.toml Package description pip Supported by Python

5. Development tools, environment, build executables

Some development tools are needed with this package, listed below:

5.1 Notes for developers

You can use the main.py for execute as first time in src/ak_sm_recorder/_ _ main _ _.py Configure the path of the project, if you use Pycharm, put your folder root like this:

ak_sm_recorder

(docs/img/ak_sm_recorded_presentation.png)

5.2 Creating virtual environment Linux

python3 -m venv ./venv
source ./venv/bin/activate
pip install --upgrade pip
pip install -r requirements_linux.txt

5.3 Creating virtual environment Windows

%userprofile%"\AppData\Local\Programs\Python\Python38\python.exe" -m venv ./venv
venv\Scripts\activate.bat
pip install --upgrade pip
pip install -r requirements_windows.txt

** If there are some problems in Windows, follow this **

pip install pyk4a --no-use-pep517 --global-option=build_ext --global-option="-IC:\Program Files\Azure Kinect SDK v1.4.1\sdk\include" --global-option="-LC:\Program Files\Azure Kinect SDK v1.4.1\sdk\windows-desktop\amd64\release\lib"

5.4 Building PIP package

We are working to offer Pypi support for this package. At this time this software can be built by scripts automatically.

5.4.1 Build packages

py -m pip install --upgrade build
build_pip.bat

5.4.2 Download PIP package

pip install ak_sm_recorder-1.0-py3-none-any.whl

5.4.3 Run ak_sm_recorder

python -m ak_sm_recorder.py

5.4 Building .EXE for Windows 10

build_win.bat

After the execution of the script, a new folder will be generated inside the project "/dist". You can copy ** ak_sm_recorder_f/** or a compressed file "ak_sm_recorder_f.zip" to distribute.

5.6 Package distribution format

Explain about packages distribution.

Package type Package Url Description
Windows .EXE .EXE Executables are stored under build/
Linux .deb .deb NOT IMPLEMENTED YET
PIP .whl .whl PIP packages are stored in build/

Authorship

This project is contributed by GRAP-UdL-AT. Please contact authors to report bugs [email protected]

Citation

If you find this code useful, please consider citing: GRAP-UdL-AT/ak_sm_recorder.

Acknowledgements

This work is a result of the RTI2018-094222-B-I00 project (PAgFRUIT) granted by MCIN/AEI and by the European Regional Development Fund (ERDF). This work was also supported by the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya under Grant 2017-SGR-646. The Secretariat of Universities and Research of the Department of Business and Knowledge of the Generalitat de Catalunya and Fons Social Europeu (FSE) are also thanked for financing Juan Carlos Miranda’s pre-doctoral fellowship (2020 FI_B 00586).

PAgFRUIT Research Project

Universitat de Lleida

Generalitat de Catalunya

Ministerio de Ciencia, Innovación y Universidades

Fons Social Europeu (FSE)

AGAUR