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 ./setup.py build
python3 ./setup.py installThis module can also be installed using pip
pip3 install envi2numpyExample
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",
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
