Metadata-Version: 2.1
Name: bbo-multitrackpy
Version: 1.1.0
Summary: Detect head positions from MTT files
Home-page: https://github.com/bbo-lab/multitrackpy
Author: BBO-lab @ caesar
Author-email: kay-michael.voit@caesar.de
License: BSD
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENSE

Detection of LED head stage based on MTT files, used by the BBO lab at caesar research center

# Installation

## Windows

1. [Install Anaconda](https://docs.anaconda.com/anaconda/install/windows/)
2. Clone git@github.com:bbo-lab/multitrackpy.git 
3. Open Anaconda prompt via Start Menu
4. Using `cd` and `dir`, navigate to the multitrackpy folder INSIDE the repository (which may also be named multitrackpy)
5. Create conda environment using `conda env create -f environment.yml`
6. Switch to multitrackpy environment: `conda activate multitrackpy`
7. Add multitrackpy module to conda environment: `conda develop [path to your repository, including repository folder]`

You can now run the program with `python -m multitrackpy -h`:
```
usage: __main__.py [-h] --mtt_file MTT_FILE --video_dir VIDEO_DIR
                   [--linedist_thres LINEDIST_THRES] [--corr_thres CORR_THRES]
                   [--led_thres LED_THRES] [--n_cpu N_CPU]
                   START_IDX END_IDX
__main__.py: error: the following arguments are required: START_IDX, END_IDX, --mtt_file, --video_dir
```


