pytracking - a general python library for Visual Tracking Algorithm

PyTracking

原文：github
A general python library for visual tracking algorithms.

Running a tracker

The installation script will automatically generate a local configuration file “evaluation/local.py”. In case the file was not generated, run evaluation.environment.create_default_local_file() to generate it. Next, set the paths to the datasets you want to use for evaluations. You can also change the path to the networks folder, and the path to the results folder, if you do not want to use the default paths. If all the dependencies have been correctly installed, you are set to run the trackers.

The toolkit provides many ways to run a tracker.

Run the tracker on webcam feed
This is done using the run_webcam script. The arguments are the name of the tracker, and the name of the parameter file. You can select the object to track by drawing a bounding box. Note: It is possible to select multiple targets to track!

Overview

The tookit consists of the following sub-modules.

• analysis: Contains scripts to analyse tracking performance, e.g. obtain success plots, compute AUC score. It also contains a script to playback saved results for debugging.
• evaluation: Contains the necessary scripts for running a tracker on a dataset. It also contains integration of a number of standard tracking and video object segmentation datasets, namely OTB-100, NFS,
  UAV123, Temple128, TrackingNet, GOT-10k, LaSOT, VOT, Temple Color 128,