This release is a pre-release and may not be stable for production use.
Sparrow Tracky
Sparrow Tracky is a Python package that implements basic object tracking and related metrics. The object tracking algorithm is a simplification of SORT and is designed for prototyping in Python -- not for production. The metrics Multi-Object Detection Accuracy (MODA) and Multi-Object Tracking Accuracy (MOTA) are useful for measuring the quality of box predictions.
Quick Start Example
Installation
pip install -U sparrow-tracky
Measuring MODA on frame boxes
import numpy as np
from sparrow_datums import FrameBoxes, PType
from sparrow_tracky import compute_moda
boxes = FrameBoxes(np.ones((4, 4)), PType.absolute_tlwh)
moda = compute_moda(boxes, boxes + 0.1)
moda
# Expected result
# MODA(false_negatives=0, false_positives=0, n_truth=4)
moda.value
# Expected result
# 1.0
Adding MODA objects
moda + moda
# Expected result
# MODA(false_negatives=0, false_positives=0, n_truth=8)
(moda + moda).value
# Expected result
# 1.0
1 maintainer
Metadata
1 maintainer
Release files for sparrow-tracky 0.3.5.dev1657903505
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