FRModel_GLCM

GLCM Parser for FRModel

Output Format

shape = (Height, Width, Channel, Features)

Channels

Wideband Red = 0
Wideband Green = 1
Wideband Blue = 2
RedEdge = 3
Blue = 4
NIR = 5
Red = 6
Green = 7

Features

NONE = 0
HOMOGENEITY = 1
CONTRAST = 2
ASM = 3
MEAN_I = 4
MEAN_J = 5
VAR_I = 6
VAR_J = 7
CORRELATION = 8

Example

import pickle

with open("...pickle", "rb") as f:
    ar = pickle.load(f)
    
ar_rededge_meanj = ar[..., 3, 5]    
ar_wbgreen_correlation = ar[..., 1, 8]

Instructions

Dependencies

You need to install glcm-cupy and cupy

pip install glcm-cupy

CuPy will differ depending on your environment and CUDA Version.

See this for more details

pip install cupy-cuda116
conda install -c conda-forge cupy cudatoolkit=11.6

TIF Files

You need to add the .tif files manually first, see Directory Structure

I have only provided the bounds.csv, so just place them accordingly

Execution

To run,

python main.py

Params

Do change the last line of the code to change the

Bin Size
- The number of bins.
- Note it's not bits, thus, 6bit == 2 ** 6bins
Downscale Size
- If 1, then the image is original size
- If 2, then the image is half size
- If 3, it's 1/3,
- and so on..

The results will be thrown into outputs.

Directory Structure

Place your inputs like so. The bounds are provided, please use these

inputs
  - 10May2021
    - 90deg43m85pct255deg
      - bounds.csv
      - result.tif
      - result_Blue.tif
      - result_Green.tif
      - result_NIR.tif
      - result_Red.tif
      - result_RedEdge.tif
  - 18Dec2020
    - bounds.csv
    - result.tif
    - result_Blue.tif
    - result_Green.tif
    - result_NIR.tif
    - result_Red.tif
    - result_RedEdge.tif
outputs

imaginaryBuddy/FRModel_GLCM