Metadata-Version: 2.1
Name: envi2numpy
Version: 1.3
Summary: Package used for reading and converting hyperspectral ENVI captures to numpy
Home-page: https://github.com/ArendJanKramer/envi2numpy
Author: Arend Jan Kramer
Author-email: github@arendjan.eu
License: gpl-2.0
Description: # envi2numpy - Converting ENVI shots to numpy
        
        Python module for converting hyperspectral ENVI captures to numpy arrays. 
        It can also do white/dark balancing.
        
        To install:
        
        ```bash
        python3 ./setup.py build
        python3 ./setup.py install
        ```
        
        This module can also be installed using pip
        
        ```bash
        pip3 install envi2numpy
        ```
        
        ## Example
        Suppose the following files:
        
         - DARKREF_EXAMPLE_2020-01-01-10-10-10.hdr
         - DARKREF_EXAMPLE_2020-01-01-10-10-10.log
         - DARKREF_EXAMPLE_2020-01-01-10-10-10.raw
         - EXAMPLE_2020-01-01-10-10-10.hdr
         - EXAMPLE_2020-01-01-10-10-10.log
         - EXAMPLE_2020-01-01-10-10-10.raw
         - WHITEREF_EXAMPLE_2020-01-01-10-10-10.hdr
         - WHITEREF_EXAMPLE_2020-01-01-10-10-10.log
         - WHITEREF_EXAMPLE_2020-01-01-10-10-10.raw
        
        ```python
        import envi2numpy
        
        # Settings
        do_normalize = False # Normalize pixel values between 0.0 and 1.0
        do_log_derive = False # Take the logarithmic derivative between the bands
        
        # Parse meta info
        hdr_dict = envi2numpy.readHDRfile(cube_hdr_path="EXAMPLE_2020-01-01-10-10-10.hdr")
        width = hdr_dict['width']
        num_bands = hdr_dict['bands']
        
        numpy_array = envi2numpy.convert(cube_path="EXAMPLE_2020-01-01-10-10-10.raw",
                                          dark_ref_path="DARKREF_EXAMPLE_2020-01-01-10-10-10.raw",
                                          white_ref_path="WHITEREF_EXAMPLE_2020-01-01-10-10-10.raw",
                                          width=width,
                                          num_bands=num_bands,
                                          normalize=do_normalize,
                                          log_derive=do_log_derive
        
        ```
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
