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 0.4.0.dev1659390268
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sparrow-tracky-0.4.0.dev1659390268.tar.gz | 9.2 kB | Without provenance | Details for sparrow-tracky-0.4.0.dev1659390268.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sparrow_tracky-0.4.0.dev1659390268-py3-none-any.whl | Python 3 | none | any | Details for sparrow_tracky-0.4.0.dev1659390268-py3-none-any.whl |
Total release size: 21.4 kB
Release files / sparrow-tracky-0.4.0.dev1659390268.tar.gz
| Download URL | sparrow-tracky-0.4.0.dev1659390268.tar.gz |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2f82c590cbb7da91963bb5ca88df76a4cd4cef9b2efcdc690285ea827bcc02e1
|
|
BLAKE2b-256 checksum How to use checksums |
bc02be671978f09c4384846e35b78bde6c199d836c200e77b3b40c6adb6bac63
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.8.13 Linux/5.15.0-1014-azure
|
Release files / sparrow_tracky-0.4.0.dev1659390268-py3-none-any.whl
| Download URL | sparrow_tracky-0.4.0.dev1659390268-py3-none-any.whl |
|---|---|
| Size | 12.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
058b2ac50e414f834f680745eaef4ed288df2eed01889ac46edc013046c46f56
|
|
BLAKE2b-256 checksum How to use checksums |
d5825b2738267c813e321188797717b2327a903d2e92290b8d420086e2dbff15
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.8.13 Linux/5.15.0-1014-azure
|
Security for sparrow-tracky 0.4.0.dev1659390268
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
