Reading the repo
Opening the box…
Reading the repo
Opening the box…
Assembly instructions
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
GitHub didn't answer, so this is the saved copy from 1 days ago
Will it work on macOS?
The program has been tested on Windows, Mac, and Linux systems with Python 3.10, and should function even on low-end laptops. However, at least 8 GB RAM is recommended. Performance will vary depending on your data size and hardware.
cd Downloads/alma
conda env create -f conda_env_python_3_10.yml
conda activate venv_python_3_10
On Windows/Linux/macOS:
python ./alma.py
Then run bash setup.sh. It stops at the first error and is safe to run again. Servers and tests aren't started; it lists them at the end. Read it first.
Needs Git: xcode-select --install
git clone https://github.com/sollan/alma.git cd alma
Python 3
brew install python
In the maintainers' order. Do the README instructions above first — they cover steps outside the terminal.
conda env create -f conda_env_python_3_10.yml conda activate venv_python_3_10 python ./alma.py
No reports for macOS yet.
GitManual AI Agent reads the 1 key files and writes a step-by-step guide for macOS. Once written, it's saved for everyone.