Release Notes#

VSenseBox v0.4.x - Hello Ultralytics YOLOv11!#

  • VSenseBox v0.4.1

    • Improve example 01

    • Clean up and improve requirements

    • Update and improve documentation

  • VSenseBox v0.4.0

    • Add Ultralytics YOLOv11 config files

    • Use Ultralytics YOLOv11 in examples and tests

    • Update requirements for Ultralytics YOLOv11

    • Update documentation and GitHub workflows

VSenseBox v0.3.x - Another Step!#

  • VSenseBox v0.3.0

    • Add YOLOv10 and YOLOv9 config files

    • Add frame rate to example 02 using sfps

    • Update requirements

    • Update and improve documentation

    • Update and improve GitHub workflows

VSenseBox v0.2.x - Some Changes!#

  • VSenseBox v0.2.0

    • Transfer from rathaumons to numediart

    • Change boxes_confs to boxes_conf for VSenseAssets

    • Update requirements

    • Update and improve documentation

VSenseBox v0.1.x - One Small Step!#

  • VSenseBox v0.1.1

  • VSenseBox v0.1.0

    • Add basic IoU tracker -> BasicIoU

    • Fix minor bugs

    • Clean up and improve unified strings

    • Update and improve configurator and GUI

    • Update and improve documentation

VSenseBox v0.0.x - Hello World!#

  • VSenseBox v0.0.4

    • Add minor bug fixes

    • Add example 03 for multithreading

    • Improve overall performance

    • Update and improve documentation

  • VSenseBox v0.0.3

    • Improve VSense performance

    • Update and improve documentation

  • VSenseBox v0.0.2

    • Add direct YAML file reading to config()

    • Update and improve documentation

  • VSenseBox v0.0.1

    • Fix the wrong paths in yolo_classic *.yaml

  • VSenseBox v0.0.0

    • Initialize first release 👋

    • Come with full documentation 📄

    • Support both CPU and GPU ready 🚀

    • Support Python 3.9-3.12 on Windows, Linux, and macOS 🫶

    • Support multithreading 🛞

    • Support YAML config file ✍️

    • Integrate with PyQt GUI for easy config 🖱️

    • Integrate with object detectors and trackers 🤖

      • Built-in Classic YOLO v3 and v4 (.weights models)

      • PyTorch YOLO including Ultralytics v3, v4, v5, v8, v9

      • Built-in bbox trackers including Centroid, SORT, and DeepSORT