Norfair

Latest version: v2.2.0

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2.2.0

Release notes

We release Norfair 2.2.0, which includes a major improvement to distances performance as well as many minor fixes and improvements. Including a refactoring of drawing

This version also **drops support for python 3.6**

Changelog

Features
* New vectorized distance functions. (211) facundo-lezama
* Added optimized IoU function (226) facundo-lezama
* Added the flag `draw_scores` to the function `draw_boxes`. (219) moooises
* Enable users to draw custom objects (229) javiber
* Add `estimate_velocity` property to the `TrackedObject` class (238) DiegoFernandezC

Demos

* Introduce Norfair ROS in the README (231) DiegoFernandezC

Documentation

* Fixed typehint of `draw_points` and `draw_boxes` (230) javiber
* update sahi version (217) fcakyon

Other features & fixes

* Drop support for Python 3.6. (234) facundo-lezama
* Drawing refactor (209) javiber
* Fix reid_hit_counter initialization. (224) facundo-lezama
* Automatically deploy new doc versions (239) javiber
* Make `numpy` a direct dependency of Norfair. (233) facundo-lezama
* New issue templates (206) javiber
* Set Ubuntu version to 20.04 in CI. (222) facundo-lezama
* Fixed draw_box and removed infinite distance check on Tracker (220) javiber
* Fixed a problem with the hex color parsing (215) javiber

2.1.1

Release notes

We release this patch release to fix a missing dependency on Python 3.6 and 3.7. A new demo for panoptic perception and some updates to sahi demo and documentation are included as well.

Changelog

Fixes
* Fix `importlib-metadata` dependency bug affecting python 3.6 and 3.7 (212) javiber

Demos
* Add panoptic driving perception demo using YOLOPv2 (204) DiegoFernandezC
* Update sahi demo to use their latest version (214) fcakyon

Docs
* Add Getting started guide (208) javiber

2.1.0

Release notes

We release Norfair 2.1, with support for Python 3.10. The rest is mostly small features and fixes, and a new demo.

Changelog

Features
* Support Python 3.10 (195) dekked
* Support for object count when using multiple `Tracker` instances (196) javiber
* Added optional `quality_level` field to `MotionEstimator` class (200) facundo-lezama

Demos
* Add small object tracking demo using SAHI (188) JuanFKurucz

Documentation
* Added Contributing guide (205) javiber
* Documentation site for different Norfair versions (201) javiber
* Added documentation for drawers related to camera motion (203) javiber

Other features & fixes
* Update MOT17 metrics and add MOT20 results (202) facundo-lezama
* Version has single source of truth in pyproject.toml (187) dekked
* Fixed bug when transforming coordinates of 1-rank detections (198) javiber
* Fixed the formatting of warning strings (194) javiber
* Fix Python 3.6 dependency in PyPI & upgrades in `pyproject.toml` (191) dekked
* Fix broken link to documentation in error message (192) dekked
* `tox` works again for running tests locally (193) dekked

2.0.0

Release notes

We are excited to announce the release of Norfair 2.0, the biggest upgrade to Tryolabs’ open-source multi-object tracking library since its first release two years ago 🙌

[Read announcement blog post](https://tryolabs.com/blog/2022/09/20/announcing-norfair-2.0-open-source-real-time-multi-object-tracking-library).

Changelog

New features

* Support re-identification with appearance embeddings (118) facundo-lezama
* Estimate camera motion using the mode of the Optical Flow (139) aguscas
* Support n-dimensional tracking (138) aguscas
* Add new documentation using MkDocs (154) javiber
* Added option to control output video extension (176) javiber
* Added predefined distance functions for typical cases (135) javiber

Demos
* Add demo in Hugging Face Spaces (178) DiegoFernandezC dekked
* Add official demo in Google Colab (184) DiegoFernandezC
* Revamp demos and dockerize them for reproducibility (146) aguscas dekked
* Add YOLOv7 demo (147) aguscas
* Added example with MMDetection (134) javiber
* Update OpenPose demo (81) rocioxl
* Added IoU function to the YOLOv5 demo (90) ffedee7

Other features & fixes
* Set optimized filter as default (145) aguscas
* Add version info in `__init__.py` (123) fcakyon
* Blackify the whole repo (141) javiber
* Fixed reid video (179, 180) javiber
* Avoid drawing paths of dead objects (175) javiber
* Fixed dependency on GitHub Actions (174) javiber
* Fixes in YOLO demos when tracking bounding boxes (161) javiber
* Fix dependency on older version of rich (160) javiber
* Fixed draw_tracked_boxes when draw_box is False (150) javiber
* Fix many initializations in the trackers (142) aguscas
* Fix profiling demo (137) aguscas
* Unit tests refactor (162) javiber
* Remove redundant CI lines (116) joaqo
* Replace gifs for videos on demos (177) javiber

1.0.0

Release notes

One year and 8 months after the first public release, we got the API stable enough to be comfortable releasing Norfair 1.0! 🥂

Changelog

* Simplify API (106) aguscas
* `hit_inertia_min` -> Removed
* `hit_inertia_max` -> `hit_counter_max`
* `point_transience` -> `pointwise_hit_counter_max`
* Re-add support for Python 3.6 (113) joaqo
* Add 'No filter' and 'Optimized KF' setups (108) aguscas
* Add mot metrics GitHub action (114) joaqo
* Create scripts to compare norfair and ByteTrack on MOT17 (100) aguscas
* Profiling demo (110) aguscas

0.4.3

Changelog

* Add demo tracking keypoints and bounding boxes using OpenPose and YOLOv5 (99) facundo-lezama
* Add documentation for draw_boxes and draw_tracked_boxes (101) aguscas
* Fix bug by removing reference to 'points_of_interest' (95) aguscas
* Add support for path drawing in video (89) aguscas
* Added labels to the drawing functions (93) facundo-lezama
* Added feature for tracking objects with different classes (91) facundo-lezama

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