# Quickstart¶

## Installation¶

```
pip install gentex
```

## Getting started¶

Here is a dummy example:

First, we create some dummy ndarray (but could be any nd dataset, from an image for example) and a mask.

```
import numpy as np
import gentex
C = np.random.randint(3, size=[5, 5, 5])
maskC = np.ones([5, 5, 5])
```

Then, we compute the GLCM from this array along 2 different offsets

```
offset3 = [[1, 1, 1], [-1, -1, -1]]
cm = gentex.comat.comat_mult(C, maskC, offset3, levels=3)
```

GenTex supports many different type of offsets (rect, conic, angle,
distance, etc.). Refer to `gentex.template`

for the one available.

Finally, we get a sample of possible statistics extracted from the GLCM

```
texm = ['CM Entropy',
'EM Entropy',
'Statistical Complexity',
'Energy Uniformity',
'Maximum Probability']
mytex = gentex.texmeas.Texmeas(cm)
for meas in texm:
mytex.calc_measure(meas)
print(f'{meas} = {mytex.val}')
CM Entropy = 3.129436250609541
EM Entropy = 1.5849625007211563
Statistical Complexity = 1.584962500721156
Energy Uniformity = 0.117431640625
Maximum Probability = 0.1484375
```

Refer to `gentex.texmeas`

for the measures available.