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v0.3.0

CVHub520/X-AnyLabelingv0.3.0Oct 10, 2023by CVHub520

AI Summary

This release adds new object detection models (Gold-YOLO and DAMO-YOLO), introduces the OC_Sort multi-object tracking algorithm, and includes a new small object detection feature using SAHI. New executable versions for both CPU and GPU on Windows and Linux platforms are also provided.

Key Highlights

  • Added Gold-YOLO and DAMO-YOLO object detection models
  • Introduced OC_Sort MOT algorithm (CVPR'23)
  • New small object detection capability using SAHI
  • New CPU and GPU executables for Windows and Linux

New Features

  • Gold-YOLO object detection model
  • DAMO-YOLO object detection model
  • OC_Sort multi-object tracking algorithm
  • SAHI-based small object detection feature

Full Release Notes

## New versions

- X-AnyLabeling-CPU.exe [md5 | 51b9f97d1ed8becc08fe41af57d18784]
- X-AnyLabeling-GPU.exe [md5 | d6c84254e0c369ee78afba13e957ae76]
- X-Anylabeling-Linux-CPU [md5 | a285be02dbb97290c1193ddd8c6cf701]
- X-Anylabeling-Linux-GPU [md5 | feb29f0b7843c29553cd256edb6ef0d1]

## New feature
  - Release [Gold-YOLO](https://github.com/huawei-noah/Efficient-Computing/tree/master/Detection/Gold-YOLO) and [DAMO-YOLO](https://github.com/tinyvision/DAMO-YOLO) models.
  - Release MOT algorithms: [OC_Sort](https://github.com/noahcao/OC_SORT) (**CVPR'23**).
  - Add a new feature for small object detection using [SAHI](https://github.com/obss/sahi).