optical-profilometry-feature-detection 0.1

A suite of feature detection tools for optical profilometry data

Optical Profilometry Feature Detection

A suite of feature detection tools for optical profilometry data

Features

• Crack Detection and Aalysis

Setup

1. Installation

$ pip install optical_profilometry_feature_detection

2. Import it in python

from optical_profilometry_feature_detection import *

A quick example

# separate the individual lines from the raw sample2
lines = g_separate_lines("", "sample2.txt")

# analyze line 1 of sample2, excluding first 2% and last 2% of data, using a span of 0.02 
# in the loewss surface profile model
g_model_cracking("", lines[0], "sample2.txt", 1, first_surf= 0.02, last_surf= 0.98, span = 0.02)

# analyze the first 5 lines in sample1
batch_cracking("", "", "sample1.txt", 5)

Output will be series of png and csv files