Image STR

Image STR Anomaly Detection Documentation

Overview

The Image anomaly detector uses Scene Text Recognition (STR) to parse through sci-cam images of the ISS. It creates a database of all the labels found on the ISS and displays the results of a search label using the panorama interface https://ivr.ndc.nasa.gov/isaac_panos/.

Prerequisites

This package relies on the CRAFT-Pytorch and PARSeq libraries. To ensure the Image STR package works smoothly, clone the repos associated with the libraries and build them as Python packages.

CRAFT-Pytorch

pip install git+https://github.com/marinagmoreira/CRAFT-pytorch.git

PARSeq

pip install git+https://github.com/marinagmoreira/parseq.git@focal#egg=parseq

The Image STR package also contains a setup file with all the other necessary Python packages.

pip install .

Running the Code

The python code containing the label detection and search is in parse_img.py.

Parameters

--bag_path BAG_PATH   Path to bag folder where the images came from.
--image_file IMAGE_FILE
                    Path to image to parse.
--image_folder IMAGE_FOLDER
                    Path to image folder to parse images.
--result_folder RESULT_FOLDER
                    Path to result folder to save results.
--increment INCREMENT
                    If True, will save the results of each individual
                    image.
--df_file DF_FILE   If provided, will create an ocr using data from csv
                    file.

To see the demo, run the Analyst Notebook. Directions are specified in the readme.md in the Analyst Folder.