Release v10.0.55

• Per class tracking now enabled for create_tracker
• Tag and release naming fixed

Release v10.0.54

All trackers inherit BaseTracker

Release v10.0.52

• Added scripts for ultra fast experimentation by pre-generating detections and embeddings such that they can later be fed to any tracking method.
• Added possibility to pass embeddings to all trackers.
• ~3x CI pipeline speedup by using parallelization and pregenerated detections and embeddings

Release v10.0.51

with_reid argument was added to BoTSORT by @Kevin111369. Usage:

tracker = BoTSORT(
    model_weights = None,
    device = 'cuda:0',
    fp16 = True,
    with_reid = True,  # true for motion + ReID association, false for only motion association
) 

Release v10.0.50

A centroid-based association method has been added to OCSORT and DeepOCSORT. This may be best suited for small AND/OR fast moving objects

from boxmot import OCSORT

tracker = OCSORT(
    asso_func="centroid",
    iou_threshold=0.3  # use this to set the centroid threshold that match your use-case best
)

Release v10.0.49

A centroid-based association method has been added. This may be best suited for small AND/OR fast moving objects

Release v10.0.48

HybridSort numpy datatypes fix by @florian-fischer-swarm

Release v10.0.47

The KF adapter contained some minor bugs. All orginal KF from their respective repositories are now used instead.

Release v10.0.46

BoTSORT improvements by @Justin900429 in #1192:

• Integration of a Fusing Option
• Optimization of Optical Flow Computation

Release v10.0.45

Increase reid mutlibackend preprocessing robustness by clipping the detections to ((0, w), (0, h)) by @Justin900429 in #1187. This error may arise if the detector generates bboxes that ends outside the input image. It happens when the detector has been trained, not following best practices (clean up your ground truth, clip the output of the model...).