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Detect head positions from MTT files

Project description

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

Installation

Windows

  1. Install Anaconda
  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

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