{"repo":"cheind/py-motmetrics","free":true,"listed":false,"github":"https://github.com/cheind/py-motmetrics","clone":"git clone https://github.com/cheind/py-motmetrics.git","description":":bar_chart: Benchmark multiple object trackers (MOT) in Python","language":"Python","stars":1486,"topics":["object-tracking","object-detection","clear-mot-metrics","benchmark","metrics","tracker","mot","mot-challenge"],"license":"MIT","category":"analytics","readme_excerpt":"py-motmetrics py-motmetrics provides Python tools for evaluating multiple object tracking (MOT) results. It implements MOTChallenge-aligned CLEAR MOT, Identity, and HOTA-related metrics, including MOTA, MOTP, IDF1, precision, recall, and track quality counts. Installation Python 3.8 through 3.14 is supported. For development: Quick Start For MOTChallenge-style text files, compute and print metrics in one call. Supported file formats are detected automatically. summary displays as a MOTChallenge-style table and keeps the raw pandas data available: By default, evaluate motchallenge uses fmt=\"auto\" . It detects MOTChallenge text, VATIC text, and UA-DETRAC .mat / .xml files. For ambiguous text files, pass the format explicitly: Folder evaluation uses the same function: Expected folder layout: The command-line evaluator is still available: Metrics List all registered metrics: The default MOTChallenge summary includes the commonly reported CLEAR, Identity, and HOTA metrics. Advanced Use Useful lower-level pieces: - mm.MOTAccumulator stores frame-level matching events. - mm.distances contains distance helpers such as IoU and Euclidean matrices. - mm.io.loadtxt(..., fmt=\"auto\") detects MOTChallenge text, VATIC text, and UA-DETRAC MAT/XML files. - mm.metrics.create() returns a MetricsHost for custom metric selection. - mm.utils.compare to groundtruth compares loaded dataframes directly. - mm.utils.compare to groundtruth reweighting supports custom HOTA-style multi-threshold workflows.","default_branch":null,"files":null,"tree":[],"storefront":"/r/cheind","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/cheind/py-motmetrics/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}