Object tracking and metrics
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for sparrow-tracky-0.4.0.dev1659390268.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2f82c590cbb7da91963bb5ca88df76a4cd4cef9b2efcdc690285ea827bcc02e1 |
|
MD5 | 16316983677f272591e0a9f7c97be0fd |
|
BLAKE2b-256 | bc02be671978f09c4384846e35b78bde6c199d836c200e77b3b40c6adb6bac63 |
Close
Hashes for sparrow_tracky-0.4.0.dev1659390268-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 058b2ac50e414f834f680745eaef4ed288df2eed01889ac46edc013046c46f56 |
|
MD5 | 010e3abf1be6ababa293cbf39e9c9c8f |
|
BLAKE2b-256 | d5825b2738267c813e321188797717b2327a903d2e92290b8d420086e2dbff15 |