As a result of my bachelors thesis at Fachhochschule Dortmund, a programm has been developed to read out dimensions from two-dimensional, scanned engineering drawings. The relevant information constist of height and width of assembly components. Several methods of digital image processing and machine learning are used to identify text segments, arrowheads and straight lines. Based on relevative position of arrowheads and lines to each other as well as of arrows and text segments, relevant information can be identified and read out.

• Install tesseract (https://github.com/tesseract-ocr/tesseract)

• Install setuptools (https://packaging.python.org/tutorials/installing-packages/#installing-setuptools-extras)

• Build and install

 python3 setup.py build
 sudo python3 setup.py install

sudo ./main

The config.ini file is used to set all needed paths and enable quick parameter changes. It contains default values for most parameters which have been proved to deliever good results.

• All parameters ending in _PATH must be set and be valid folder paths.

• IS_BATCH_MODE allows to enable or disable

• MEASURE_RUNTIME outputs the runtime needed for the execution of either a single image or the total time for batch mode.

• CLASSIFICATION_METHOD decides whether to use the NB (Naive-Bayes) or CNN (Convolutional Neural Network) method to classify relevant segments.

• IMG image to analyze. Must be a valid image file inside the FOLDER_PATH.

• LABELED NB dataset used for classification. Must be a valid labeled dataset inside the LABEL_PATH.