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Python Version](https://img.shields.io/pypi/pyversions/tracking-markers?labelColor=34495e)\n[![PyPI](https://img.shields.io/pypi/v/tracking-markers?labelColor=34495e)](https://pypi.org/project/tracking-markers \"Go to PyPI\")\n![PyPI - Wheel](https://img.shields.io/pypi/wheel/tracking-markers?labelColor=34495e)\n[![Pepy Total Downloads](https://img.shields.io/pepy/dt/tracking-markers?labelColor=34495e)](https://pepy.tech/projects/tracking-markers)\n[![GitHub license](https://img.shields.io/github/license/bertoldi-collab/tracking-markers?labelColor=34495e)](https://github.com/bertoldi-collab/tracking-markers/blob/main/LICENSE)\n[![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fbertoldi-collab%2Ftracking-markers\u0026count_bg=%2327AE60\u0026title_bg=%2334495E\u0026icon=github.svg\u0026icon_color=%23E7E7E7\u0026title=Hits\u0026edge_flat=false)](https://hits.seeyoufarm.com)\n\nThis is a humble image tracking code.\nIt is humble because it does what it can.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg width=\"460\" height=\"300\" src=\"examples/spaceman.gif\"\u003e\n\u003c/p\u003e\n\n## Why\n\nUnlike [typical tracking software](https://docs.opencv.org/4.x/d5/dae/tutorial_aruco_detection.html), this code does _not_ require any markers to be placed in the scene.\nIt can track arbitrary high-contrast points in the video.\nThe points to be tracked act as virtual markers that are manually selected by the user or loaded from a file.\nThis makes it suitable for tracking points in videos where placing physical markers is not possible or practical.\n\n## Installation\n\nIntall latest version directly from PyPI with\n\n```bash\npip install tracking-markers\n```\n\nOr install from this repository (assuming your ssh keys are set up in your GitHub account) with\n\n```bash\npip install git+ssh://git@github.com/bertoldi-collab/tracking-markers.git@main\n```\n\nOr clone the repository and install with\n\n```bash\ngit clone git@github.com:bertoldi-collab/tracking-markers.git\ncd tracking-markers\npip install -e .\n```\n\n## How to use\n\n### CLI\n\nRun in a terminal\n\n```bash\ntracking-markers path/to/video.mp4\n```\n\nSee `tracking-markers --help` for more info on all the options.\n\n### Python\n\nThe main module is [`tracking_points.py`](tracking_markers/tracking_points.py) defining the `track_points(...)` function that actually does the tracking of a given video and the function `select_markers(...)` that allows the manual selection of markers.\nThese functions can be used independently.\nThe file [`tracking_points.py`](tracking_markers/tracking_points.py) can also be used as a script.\n\n## Some info\n\n- It is based on the [OpenCV](https://opencv.org/) library.\n- Allows for markers to be manually selected or an `np.ndarray` of markers can be loaded from a file.\n- Works best on high-contrast videos.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbertoldi-collab%2Ftracking-markers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbertoldi-collab%2Ftracking-markers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbertoldi-collab%2Ftracking-markers/lists"}