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What is MatcherNet?
What is MatcherNet?
MatcherNet is a probabilistic state-space model for dynamic system identification and control. With MatcherNet, you can easily design a dynamic world model of high-dimensional / multi-modal / multi-scale states and observations for robotics, image processing, sensor networks, and their hybrid cases. MatcherNet may provide you a solution better than a large state space model, a deep neural network of end-to-end structure, etc.
Acknowledgment
MatcherNet was developped with support by the New Energy and Industrial Technology Development Organization (NEDO), Japan, and by Post-K application development for exploratory challenges from the MEXT, Japan.
Document
See an overview for knowing what is MatcherNet in a little bit more detail.
See the matchernet documentation for important classes and functions.
See a developers' info. for knowing some additional info. for installation.
How to install?
The alpha version has been tested and released below: https://test.pypi.org/project/matchernet-py-001/
You can install the alpha version with the following command:
pip install -i https://test.pypi.org/simple/ matchernet-py-001
How to try demos?
See demo files under the /demos
directory.
Python3 demos/demo_ekf.py
See also jupyter notebooks under the /examples
directory.
How to set up in detail?
For MacOSX
Install Python 3.7.*
It is tested on 3.7.2 and 3.7.3. 3.8.* is not supported yet.
Set up virtual environment
mkdir ~/virt_env
cd ~/virt_env
virtualenv -p Python3 mn
workon mn
Install libraries
pip3 install brica2==0.5
pip3 install matplotlib==3.1.1
pip3 install numpy==1.17.3
pip3 install autograd==1.3
pip3 install -i https://test.pypi.org/simple/ matchernet-py-001
Modify PYTHONPATH
export PYTHONPATH="/path/to/dir:$PYTHONPATH"
You need this if you are to modify files in the matchernet original packages.
Run a demo
Python3 demos/demo_ekf.py
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