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.dev1659458387.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a97eafc52343e5dfcae680ffda1d591354521f68634cb6a1a64e052c236b8bf3 |
|
MD5 | 7e8a087c235ae7601dd41efbbc954184 |
|
BLAKE2b-256 | 3a5fe7da2321b16656bfb6e192327e079ae4b5b7300322458f5b0146f5fe0a90 |
Close
Hashes for sparrow_tracky-0.4.0.dev1659458387-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 74b3e8f3546b395d34de1ab14bac0f93edba59055ca5bdce7ddffdbb65bbc367 |
|
MD5 | e8b7ddeded0360a1302ed94e92c0db2c |
|
BLAKE2b-256 | b93fd59ea2affcdc1271b3170efa7d85f9378613e8de7e1a17033e01c034155b |