https://bugzilla.redhat.com/show_bug.cgi?id=2001232

            Bug ID: 2001232
           Summary: Review Request: fasttrack - Track multiple objects in
                    video recording
           Product: Fedora
           Version: rawhide
          Hardware: All
                OS: Linux
            Status: NEW
         Component: Package Review
          Severity: medium
          Priority: medium
          Assignee: [email protected]
          Reporter: [email protected]
        QA Contact: [email protected]
                CC: [email protected]
  Target Milestone: ---
    Classification: Fedora



Spec URL: https://music.fedorapeople.org/fasttrack.spec
SRPM URL: https://music.fedorapeople.org/fasttrack-5.3.3-1.fc34.src.rpm
Description:

Tracking objects in video recording can be tedious. Existing software are
expensive, the learning curve can be steep, necessitate a powerful computer,
and the workflow can not be easily adapted when the project evolved.

FastTrack is a free (as freedom) desktop tracking software, easy to install,
easy to use, and performant. The software can be downloaded for Linux, macOS,
and Windows, and a public API is available to embed the core of the software in
any C++/Qt project.

Two main features are implemented in the software:

  • An automatic tracking algorithm that can detect and track objects
    (conserving the objects’ identities across the video recording).
  • A manual review of the tracking where errors can be corrected rapidly and
    easily to achieve 100% accuracy.

Fedora Account System Username: music

FastTrack is a relatively standard C++ Qt5 desktop application, with a
standalone CLI version and some C++-based and Python-based tests.

Koji scratch builds:

F36: https://koji.fedoraproject.org/koji/taskinfo?taskID=75119335
F35: https://koji.fedoraproject.org/koji/taskinfo?taskID=75123398
F34: https://koji.fedoraproject.org/koji/taskinfo?taskID=75123225
F33: https://koji.fedoraproject.org/koji/taskinfo?taskID=75123490

This package was requested for NeuroFedora, and @neuro-sig will be granted
commit privileges.


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