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Package used for reading and converting hyperspectral ENVI captures to numpy

Project 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:

python3 ./ build
python3 ./ install

This module can also be installed using pip

pip3 install envi2numpy


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
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",

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envi2numpy-1.4.tar.gz (14.5 kB view hashes)

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