Release v10.0.14

• All prints substituted by LOGGER
• Always print environment info, followed by args
• Fix passing multiple classes to val.py and evolve.py for multi-class evaluation

Release v10.0.13

• Inputs (det, im0) to all trackers are now numpy.ndarray
• Fix README custom model example
• Clean up classifiers in setup.py
• Add trackers instantiation pytest tests
• Lower CI time by ~2 minutes by using a more CPU friendly architecture

Release v10.0.12

• Fix google colab example
• Less verbose evaluation
• The evaluation process stops if a single subprocess fails.

Release v10.0.11

• Minimal requirements
• Avoid ultralytics installation by default, only if Yolov8 model is used for tracking
• Avoid SG installation by default, only if YOLO-NAS is used for tracking
• Update OpenVINO export
• 33% CI speedup by lower imgsz resolution
• Boxmot paths imports. From:

FILE = Path(__file__).resolve()
ROOT = FILE.parents[0].parents[0]  # repo root absolute path
EXAMPLES = FILE.parents[0]  # examples absolute path
WEIGHTS = EXAMPLES / 'weights'

in each example file, to:

from boxmot.utils import ROOT, EXAMPLES, WEIGHTS

Release v10.0.10

• configure non-yolov8 models for inference, based on input arguments
• add @torch.no_grad() to all ReID related inference methods

Release v10.0.9

• Multi Yolo backend added (Ultralytics + SuperGradients)
• Unified yolo-nas, yolox and yolov8 tracking file
• • python examples/track.py --yolo-model yolo_nas_s- - python examples/track.py --yolo-model yolo_nas_s
• All YOLO models tested in CI

Release v10.0.8

• Simultaneous pypi + release publishing in CI

v10.0.6

• Fix conf not getting updated in DeepOCSORT: #877
• Add comments to custom object detector example
• Fixed example/track.py Yolov8 bug. Filter out detections, sementation masks and pose estimations based on tracking results

v.10.0.4

• Complete repo refactor
• PyPI package published
• Yolo-NAS example added

v10.0.0

• Tracking now available for all main computer vision tasks:
  - detection
  - segmentation
  - pose estimation
• Added DeepOCSORT to trackers
• Added LightMBN to ReID models
• Added ReID export compatibility for --half with --dynamic, thanks to @Rm1n90 in #798
• ReID TFlite model export now available using onnx2tf instead of using openvino2tensorflow
• Deleted Yolov8 submodule in favour of a pure Yolov8 package implementation
• Complete track.py refactor
• Simplified val.py
• Log val and evolve results to tensorboard. Usage
  • tensorboard --logdir=./runs/evolve/
  • tensorboard --logdir=./runs/val/