ContextAwareAnnotation

Repository for annotation tools used for context aware navigation

The files are used to prepare the annotation images for training a YOLO network.

• The Remove_empty_frames.py file is used to remove any empty images by giving a template frame to pass through all images in a folder.
• The Rotate.py and Translate.py are used to augment the the dataset while saving with a new filename for saving images as series for training.
• The Annotate_frames.py file is used for annotating bounding boxes for different setups - enables one or multiple boxes depending on usecase.
• The ShowAnnotation.py is used for sanity check and to see the Bounding Boxes.
• The ImageList.py is used to generate image lists for YOLO to know the location of images.
• The LabelFix.py file is used to fix labels that contains commas instead of spaces.