Metadata-Version: 2.1
Name: vidtrain
Version: 0.1.3
Summary: Deep learning annotation training and prediction workflow for microscopy video data
Home-page: https://gitlab.com/Thawn/vidtrain
Author: Thawn
Author-email: webmaster@korten.at
License: UNKNOWN
Description: # VidTrain
        
        Train deep neural networks to analyze video data.
        
        ## Installation
        
        1. [Install anaconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html)
        2. (Optional) Install a python-capable IDE like [Visual Studio Code](https://code.visualstudio.com/)
        3. Open a command line terminal to install `vidtrain`: 
           1. Create a python 3.7 environment: `conda create --name vidtrain python=3.7`. Note, the python version must be exactly 3.7 [[1]](#Notes)
           2. Activate the environment `conda activate vidtrain`
           3. Install vidtrain `pip install vidtrain`
           
        ## Run
        
        Execute the following code in python:
        ```python
        import vidtrain
        
        
        if __name__ == '__main__':
            vidtrain.workflow.JunctionAnalysis().run()
        ```
        
        
        ## Notes
        [1]  The code uses some features that were introduced in 3.7 (dictionaries that are ordered by default), meaning it will not work properly with python <3.7. Furthermore, it uses Tensorflow 1 , which dpes not support 3.8. Thus, the python version must be *exactly* 3.7. In the future, it is planned to migrate to Tensorflow 2 and at that point, vidtrain will also work on python 3.8. However, this will require rewriting at least the data generator for the validation data.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >3.7.0, <3.8.0
Description-Content-Type: text/markdown
Provides-Extra: bioformats
