ProgressLabeller is designed to enhance the generation of 6D pose training data from color image sequences. The add-on is specifically aimed at creating large volumes of training data for custom scenes in a scalable manner.
Key features:
Efficient Data Generation: Streamlines the creation of 6D pose training data from color image sequences, catering to the needs of custom scenes.
Support for Transparent Objects: Designed to handle transparent or translucent objects effectively, overcoming the limitations of depth-based reconstruction methods.
Scalable Solution: Offers a scalable approach to generating training data, suitable for large-scale projects.
Comprehensive Annotation: Provides a solution for the annotation of visual data streams, supporting the training of object-centric 3D perception models.