Skip to main content

A humble image tracking code

Made with Python PyPI - Python Version PyPI PyPI - Wheel Pepy Total Downloads GitHub license Badge

This is a humble image tracking code. It is humble because it does what it can.

Why

Unlike typical tracking software, this code does not require any physical markers to be placed in the scene. It can track arbitrary high-contrast points in the video. The points to be tracked act as virtual markers that are manually selected by the user or loaded from a file. This makes it suitable for tracking points in videos where placing physical markers is not possible or practical.

Installation

Intall latest version directly from PyPI with

pip install tracking-markers

Or install from this repository (assuming your ssh keys are set up in your GitHub account) with

pip install git+ssh://git@github.com/bertoldi-collab/tracking-markers.git@main

Or clone the repository and install with

git clone git@github.com:bertoldi-collab/tracking-markers.git
cd tracking-markers
pip install -e .

How to use

CLI

Run in a terminal

tracking-markers path/to/video.mp4

See tracking-markers --help for more info on all the options.

Python

The main module is tracking_points.py defining the track_points(...) function that actually does the tracking of a given video and the function select_markers(...) that allows for the manual selection of markers. These functions can be used independently. The file tracking_points.py can also be used as a script.

Additional info

  • It is based on the OpenCV library.
  • Allows for markers to be manually selected or an np.ndarray of markers can be loaded from a file.
  • Works best on high-contrast videos.

Development

This project uses uv for dependency management and builds.

uv sync            # create the virtual environment and install dependencies
uv run pytest      # run the test suite
uv build           # build the sdist and wheel into dist/
uv publish         # publish to PyPI

Citation

If you use this code in your research or any other work, please cite it as follows:

@misc{bordiga2023humble,
    title        = {A humble image tracking code},
    author       = {Bordiga, Giovanni},
    year         = {2023},
    howpublished = {\url{https://github.com/bertoldi-collab/tracking-markers}},
    note         = {Bertoldi Group}
}

Metadata

Release files for tracking-markers 0.12.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tracking-markers 0.12.0
File Size Uploaded Provenance
tracking_markers-0.12.0.tar.gz 8.2 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for tracking-markers 0.12.0
File Interpreter ABI Platform
tracking_markers-0.12.0-py3-none-any.whl Python 3 none any Details

Total release size: 18.4 kB

Release files / tracking_markers-0.12.0.tar.gz

Download URL tracking_markers-0.12.0.tar.gz
Size 8.2 kB
Tags Source
SHA-256 checksum
How to use checksums
377a3066d4f757ad8c7053c070c9a4cce65371c680bdd335a63897486d578a59
BLAKE2b-256 checksum
How to use checksums
8deabf48da35b059953a8d523f9cbca9715a54bda7d99ed63f5652607dc32290
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / tracking_markers-0.12.0-py3-none-any.whl

Download URL tracking_markers-0.12.0-py3-none-any.whl
Size 10.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
139e76eedad7e571217376ff9a8dff636c75c8edf1b170a89679f88f3764cc66
BLAKE2b-256 checksum
How to use checksums
925082f832721adf4bfd6dc97d29e6ef01dc45f3a477b62d279b00bdcb1f8324
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for tracking-markers 0.12.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page