v2.3.4

CVHub520/X-AnyLabelingv2.3.4Mar 16, 2024by CVHub520

AI Summary

This release (v2.3.4) of X-AnyLabeling adds support for the YOLO-World visual language model and enables a label display feature. The update includes new executable builds for both CPU and GPU versions across Windows and Linux platforms.

Key Highlights

Added support for YOLO-World visual language model
Enabled label display feature
New executable releases for Windows (CPU/GPU) and Linux (CPU/GPU)
GPU version compiled with CUDA 11.6
Supports 12+ task types including classification, detection, segmentation, and depth estimation

New Features

YOLO-World model support (Visual Language Model)
Label display feature

Full Release Notes

## Released versions

| Version | MD5                                |
|---------|------------------------------------|
| X-AnyLabeling-CPU.exe | dee1df2f1cd1863d621fc2f4fe97017f |
| X-AnyLabeling-GPU.exe | 642bcca37562f77885d8d6df373e78ab |
| X-Anylabeling-Linux-CPU | 02c93aa107858a722a26aecc9aa081c9 |
| X-Anylabeling-Linux-GPU | 6a8388edff8dd4805262b5e516c47ea2 |

> Note: The GPU version mentioned above is compiled based on CUDA 11.6. Different versions may result in issues with xxx functionality. It is recommended to consider running the application using the source code, especially if compatibility issues arise.

## Supported models

| Task                     | Model                  |
|--------------------------|------------------------|
| **Image Classification** | ResNet50, InternImage, YOLOv5-cls, YOLOv8-cls, PULC Person/Vehicle Attribute |
| **Object Detection**     | YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOX, YOLO-NAS, DAMO_YOLO, GOLD_YOLO, RT-DETR, RTMDet |
| **Instance Segmentation** | YOLOv5-seg, YOLOv8-seg |
| **Keypoint Detection**   | RTMPose, DWPose, YOLOv6-face, YOLOv8-pose |
| **Oriented Object Detection** | YOLOv5_obb, YOLOv8_obb        |
| **Multi-Object Tracking** | OC-Sort, ByteTrack   |
| **Segment Anything**     | SAM, SAM-HQ, EdgeSAM, MobileSAM, EfficientViT-SAM, Med-SAM2D |
| **Optical Character Recognition**                  | PPOCRv4                |
| **Land Detection**       | CLRNet                 |
| **Image Captioning**     | RAM                    |
| **Visual Language Model** | Grounding-DINO, Chinese-CLIP, YOLO-World    |
| **Depth Estimation** | Depth Anything |

## Important Updates
  - ✨✨✨ Support [YOLO-World](https://github.com/AILab-CVC/YOLO-World) model.
  - ✅ Enable label display feature.