py-motmetrics
py-motmetrics copied to clipboard
:bar_chart: Benchmark multiple object trackers (MOT) in Python
I'm using motmetrics==1.4.0 with nuscenes-devkit==1.1.11 and encountered some issues. Although it is recommended to use motmetrics return minfo["fnc"](df_map, *vals, **options) E TypeError: motar() got an unexpected keyword argument 'ana' /python/3.11.8/lib/python3.11/site-packages/motmetrics/metrics.py:363:...
I have 2 sequences which I generated motchallenge compliant results for. First lines in my `(frame, id, l, t, w, h, conf, class)` dataset format: ```bash 2,3,1436,409,159,371,0.508485,0 2,2,583,442,93,264,0.689593,0 2,1,1338,425,147,356,0.692870,0 3,3,1462,417,136,360,0.542826,0...
I am running this: ```py import os import numpy as np import motmetrics as mm def compute_motchallenge(gt_file, test_file): df_gt = mm.io.loadtxt(gt_file) df_test = mm.io.loadtxt(test_file) # Define thresholds for matching th_list...
Initialize dists to avoid UnboundLocalError when calculating HOTA. Fixes this error: https://github.com/cheind/py-motmetrics/issues/193
I noticed you recently integrated the HOTA metric into this repo. Do you plan to release a new version on PyPI soon?
Dear py-motmetrics-team/contributors, Currently I am writing a scientific paper, and intend to cite your framework specifically. Could you add an entry in Zenodo to gain a DOI for your github...