Metadata-Version: 2.1
Name: bbo-acm-traingui
Version: 0.9.0
Summary: GUI to label frames for training of ACM-dlcdetect
Home-page: https://github.com/bbo-lab/acm-traingui
Author: BBO-lab @ caesar
Author-email: kay-michael.voit@caesar.de
License: BSD
Description: # ACM-traingui
        
        GUI to label frames for training of ACM-dlcdetect, by Arne Monsees
        
        ## Installation
        1. [Install Anaconda](https://docs.anaconda.com/anaconda/install/)
        2. Start Anaconda Prompt (Windows) / terminal (linux) and navigate into repository directory
        3. Create conda environment `conda env create -f https://raw.githubusercontent.com/bbo-lab/ACM-traingui/main/environment.yml`
        
        ## Running
        1. Start Anaconda Prompt (Windows) / terminal (linux) and navigate into repository directory
        2. Switch to environment `conda activate bbo_acm-traingui`
        3. Run with `python -m ACM-traingui [options ...]`
        
        ## Options
        ### Assistant mode
        Run with `python -m ACM-traingui [base data directory]`.
        This starts a GUI in drone mode, for the use by assistants with limited options to influence how the program runs and were it saves. This expects the following file structure:
        ```
        [base data directory]/data/users/{user1,user2,...}/labeling_gui_cfg.py
        [base data directory]/users/
        ```
        {user1,user2,...} will be presented in a selection dialog on startup. Marking results will be placed in `[base data directory]/users/`
        
        ### Master mode
        Run with `python -m ACM-traingui [configdir] --master`.
        This starts a GUI in master mode. Only do this if you know what you are doing.
        
        ### Check mode
        Run with `python -m ACM-traingui [directory of labels.npz] --check [bbo_calibcam calibration npy] `.
        This gives sorted text output of 3d and reprojections errors. Reporjection errors above 5-10px usually indicate errors in labeling and respective frames have to be checked.
        
        ### Join mode
        Run with `python -m ACM-traingui [configdir of ACM-dlcdetect] --check [multiple directories containing labels.npz files] `.
        This joins all marked labels in the labels.npz files into the labels.npz file in the dlcdetect configuration. Marked labels overwrite existing labels framewise.
        
        
        ## TODO
        - Document config
        - Document sketch file (2d sketch of animal. If not presented, 3d wireframe is shown instead)
        - Document [model file](https://github.com/bbo-lab/ACM/blob/main/INPUTS.md#modelnpy)
        
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
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
