Detection of LED head stage based on MTT files, used by the BBO lab at MPI for Neurobiology of Behavior
Installation
Windows
- Install Anaconda
- Open Anaconda prompt via Start Menu
- Create conda environment using
conda env create -f conda env create -f https://raw.githubusercontent.com/bbo-lab/multitrackpy/master/environment.yml
Usage
- Switch to multitrackpy environment:
conda activate multitrackpy - 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
Metadata
Release files for bbo-multitrackpy 1.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| bbo_multitrackpy-1.2.0.tar.gz | 9.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bbo_multitrackpy-1.2.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 21.7 kB
Release files / bbo_multitrackpy-1.2.0.tar.gz
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| Tags | Python 2 Python 3 |
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