Welcome to APTITUDE Toolbox’s documentation!

This documentation provides explanations of the inside of the APTITUDE Toolbox in case you want to amend the toolbox with new modules such as other kind of detectors, trackers or computer vision algorithms in general.

The code is available at https://github.com/Trusted-AI-Labs/APTITUDE_Toolbox

For the installation instructions or to learn how to use the toolbox as a blackbox, please consult the readme on Github.

Contents:

• Detection
  • detector
  • detector_factory
  • detection_manager
  • bboxes_2d_detector
    • background_subtractor
    • detectron2
    • faster_rcnn
    • mask_rcnn
    • yolo_2_3_4
    • yolo_5
• Tracking
  • tracker
  • tracker_factory
  • tracking_manager
  • bboxes_2d_tracker
    • centroid
    • iou & kiou
    • sort
    • deepsort
• Outputs & Postproc
  • detection
  • bboxes_2d
  • bboxes_2d_track
• Utils & Preproc
  • image_helper
  • transformation
  • util
  • validator
  • video_capture_async

Indices and tables

• Index

• Module Index

• Search Page