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Parallax is a graphical user interface designed to streamline the process of setting up and performing acute in vivo electrophysiology experiments.
Documentation: parallax.readthedocs.io.
conda create -n parallax python=3.8
conda activate parallax
pip install parallax-app
To upgrade to the latest version, run:
pip install parallax-app --upgrade
pip install parallax-app[camera]
python -m parallax
Parallax supports reticle detection using SuperPoint + LightGlue. To enable reticle detection using SuperPoint + SuperGlue, you must manually download 'SuperGluePretrainedNetwork' pretrained models.
The SuperGluePretrainedNetwork is not included in this repository and is distributed under its own licensing terms. Please review their license before use.
Manual Setup Instructions Clone the repository into the external/ folder in your Parallax project root:
pip install git+https://github.com/AllenNeuralDynamics/sfm.git@main
git clone https://github.com/magicleap/SuperGluePretrainedNetwork.git external/SuperGluePretrainedNetwork
Verify your folder structure looks like this:
parallax/
├── external/
│ └── SuperGluePretrainedNetwork/
│ └── models/
│ ├── superpoint.py
│ └── weights/
│ ├── superpoint_v1.pth
│ └── superglue_indoor.pth
git clone https://github.com/AllenNeuralDynamics/parallax.git
pip install -e .[dev]
pip install -e .[docs]
sphinx-build -b html docs/ docs/_build
If you encounter any problems or would like to contribute to the project, please submit an Issue on GitHub.
Parallax is licensed under the MIT License. For more details, see the LICENSE file.
FAQs
GUI software for photogrammetry-assisted probe targeting in electrophysiology
We found that parallax-app demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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