X-AnyLabeling

Released versions

[!NOTE]
For GPU acceleration and the macOS version, please consult the guide at this link.
To use the video tracking feature with segment-anything-2, refer to the same document.

Important updates

Add support for YOLO11 Det/OBB/Pose/Seg/Track models

• Integrate YOLO11 models from ultralytics v8.3.0
• Enable detection, oriented bounding box, pose estimation, segmentation, and tracking functionalities
• Update relevant documentation and dependencies)

Full Changelog: https://github.com/CVHub520/X-AnyLabeling/compare/v2.4.3...v2.4.4

Coming soon...

Released versions

[!NOTE]
For GPU acceleration and the macOS version, please consult the guide at this link.
To use the video tracking feature with segment-anything-2, refer to the same document.

Important updates

• [Model] Added support for interactive video object tracking by SAM2 (#602) by @CVHub520 in 0437e399fb4a3c1202abd00069c13d6bbb0e3982
• [Feature] Implement functionality to visualize drawing results @CVHub520 in cf8faf5a7eb8b44ee7f4a14c7b23f4a8cff822dc
• [Debug] Add vscode configuration files for module debugging and profiling by @CVHub520 in c8071390949d4608d577c2e81ce562446996c497
• [Update] Fix typo in upload_coco_annotation function by @CVHub520 in 6be1cc2fb7a1cda601642a2ba85b26f01d6804ec

Full Changelog: https://github.com/CVHub520/X-AnyLabeling/compare/v2.4.1...v2.4.2

Released versions

[!NOTE]
To utilize GPU acceleration or the macOS version, refer to the guide at this.

Important updates

• [Bug fixed] Fixed patch memory leak in image caching during image transitions by @CVHub520 in 5c498c25a1c7669a8bfac4824337ce92e37f3788
• [Bug fixed] Retain labels during switch model instances by @CVHub520 in 90217a9daeec91974f1777f8dfbf66042f49acc2
• [Feature] Add dialog for modifying group_id by @CVHub520 in 04b6298b0fae0c60d19fafc7324b9b648a02b0b1
• [Feature] Add support to export mots annotations by @CVHub520 in da12032fd5585cb7781d80b269dc1d2a8cebee8a

Full Changelog: https://github.com/CVHub520/X-AnyLabeling/compare/v2.4.0...v2.4.1

Coming soon...

Supported models

Released versions

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

Important Updates

• ✅ [Fixed TypeError in YOLO model by ensuring setText accepts only string… · CVHub520/X-AnyLabeling@6f44](https://github.com/CVHub520/X-AnyLabeling/commit/b73c268fd0988dcdbeb025569a03447ea7a3822a)
• ✅ Temporarily fixed ValueError by adding a check for selected shape existence in the shapes list (https://github.com/CVHub520/X-AnyLabeling/pull/388[)](https://github.com/CVHub520/X-AnyLabeling/commit/dca185a1f06956f29ce0356f1793277f8e886070)
• ✅ Fix bug: list index out of range for exporting dota annotations
• ✅ perf: Optimize the brightness contrast adjustment

Released versions

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

Important Updates

• ✅ Fixed TypeError in YOLO model by ensuring setText accepts only string… · CVHub520/X-AnyLabeling@6f44
• ✅ Add: Refine canvas reset behavior to prevent unintended blank canvas … · CVHub520/X-AnyLabeling@59c8
• ✅ Improve performance for loading large image files by optimizing proce… · CVHub520/X-AnyLabeling@a48b
• ✅ Enhanced image cropping: polygon and rotation shape_type support (#331) · CVHub520/X-AnyLabeling@cbbdc19
• ✅ Fixed IndexError in Canvas widget's shape module (#332) · CVHub520/X-AnyLabeling@5b31655
• ✅ Fixed invalid path issue when loading JSON file in Windows environmen… · CVHub520/X-AnyLabeling@3707
• ✅ Enhancement: Add widget for converting obb to hbb support · CVHub520/X-AnyLabeling@16d7f23

Released versions

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

Important Updates

• ✨✨✨ Support YOLO-World model.
• ✅ Enable label display feature.

Released versions

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

Important Updates

• ✨✨✨ Support YOLOv9 model.
• ✅ Support the conversion from a horizontal bounding box to a rotated bounding box.
• ✅ Supports label deletion and renaming. For more details, please refer to the document.
• ✅ Support for quick tag correction is available; please refer to this document for guidance.

Released versions

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

Important Updates

• ✅ Support save cropped rectangle shapes.
• ✅ Combining CLIP and SAM models for enhanced semantic and spatial understanding. An example can be found here.
• ✅ Adding support for the Depth Anything model in the depth estimation task.

Released versions

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

Important Updates

• 🔥🔥🔥 Support YOLOv8-OBB model.
• 🔥🔥🔥 Support RTMDet and RTMO model.
• 🔥🔥🔥 Release a chinese license plate detection and recognition model based on YOLOv5.

Released versions

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

Important Updates

• ✅ Added label background color rendering.
• ✅ In SAM annotation mode, added the ability to one-click clear point prompts.
• ✅ Extended rectangle box editing mode to four-point editing mode.
• ✅ Added support for automatically switching to editing mode when the cursor moves over an object.
• ✅ Removed confirmation dialog for object deletion.
• ✅ Implemented one-click export function for segmented mask images.
• ✅ Added one-click import and export for YOLO/VOC/COCO/DOTA/MASK/MOT labels.
• ✅ Introduced data statistics for the current task.
• ✅ Newly added functionality to hide/show selected objects, addressing layer overlap issues.
• ✅ Real-time preview of the current filename and annotation progress.
• ✅ Added support for "Difficult" label to annotate challenging samples.
• ✅ Added a bottom status bar to display real-time mouse coordinates, as well as the width and height of the selected object.
• ✅ Enabled direct modification of object text descriptions in the label editing box.

New versions

• X-AnyLabeling-CPU.exe [md5 | 46cc6fa87f1f9a2c70f989a7967d2563]
• X-AnyLabeling-GPU.exe [md5 | 3fce7a860b7761c05016195cd8a2d3ed]
• X-Anylabeling-Linux-CPU [md5 | a15e00e7d142f6c101143034d33846a3]
• X-Anylabeling-Linux-GPU [md5 | f61fcb81ed0fd2c89a20cf04510280dd]

New versions

• X-AnyLabeling-CPU.exe [md5 | 23d042d22a0a1907c2cc9f19ecdc7657]
• X-AnyLabeling-GPU.exe [md5 | af8ec0ae720a24cc608090429bc9492d]
• X-Anylabeling-Linux-CPU [md5 | 8937539d2b073e66654cf3ebdce9c784]
• X-Anylabeling-Linux-GPU [md5 | 035fe58c13a15387ebb77f3066173a45]

New feature

• 🤗🤗🤗 Release the latest version 2.0.0.
• 🔥🔥🔥 Added support for Grounding-SAM, combining GroundingDINO with HQ-SAM to achieve sota zero-shot high-quality predictions!
• 🚀🚀🚀 Enhanced support for HQ-SAM model to achieve high-quality mask predictions.
• 🙌🙌🙌 Support the PersonAttribute and VehicleAttribute model for multi-label classification task.
• 🆕🆕🆕 Introducing a new multi-label attribute annotation functionality.

New versions

• X-AnyLabeling-CPU.exe [md5 | d6c309095c260df5845fdd66d7a9039f]
• X-AnyLabeling-GPU.exe [md5 | d6ddd6f28b69a077555b21ea90fa15c1]
• X-Anylabeling-Linux-CPU [md5 | 68dff2464337bcfa3a14bcb36567343e]
• X-Anylabeling-Linux-GPU [md5 | 81785eb64605003d4bdf9934c98e97c4]

New feature

• Support pose estimation: YOLOv8-Pose. (#103 )
• Support object-level tag with yolov5_ram.
• Add the capability to adjust keep_prev_brightness and keep_prev_contrast. (#104 )
• Add a new feature enabling batch labeling for arbitrary unknown categories based on Grounding-DINO.

New versions

• X-AnyLabeling-CPU.exe [md5 | 1831f151c9140b9b126626094b6cd160]
• X-AnyLabeling-GPU.exe [md5 | adefc07059626ad3fc86f1e0b2be70a4]
• X-Anylabeling-Linux-CPU [md5 | 6f14401502fa19e9917a6dc44517df06]
• X-Anylabeling-Linux-GPU [md5 | b39f74af52b95b6f24020e8c9d26bab5]

New feature

• 🆕🆕🆕 Add a new feature for rotation box.
• 🚀🚀🚀 Support YOLOv5-OBB with DroneVehicle and DOTA-v1.0/v1.5/v2.0 model.
• 🔥🔥🔥 SOTA Zero-Shot Object Detection - GroundingDINO is released.
• 🙌🙌🙌 SOTA Image Tagging Model - Recognize Anything is released.

New versions

• X-AnyLabeling-CPU.exe [md5 | 7655ab6f28c7ef0d9aad722ed3704c26]
• X-AnyLabeling-GPU.exe [md5 | 22131acc3eba5554b53af1a9d4001647]
• X-Anylabeling-Linux-CPU [md5 | 091f0f23a0eb0453dd95049f086e0f18]
• X-Anylabeling-Linux-GPU [md5 | ecd49183f79cf7ea0bb501e80a27a44c]

New feature

• Fixed #86 bug.
• Support text prompt input.
• Release SOTA Zero-Shot Object Detection - GroundingDINO.

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 and DAMO-YOLO models.
• Release MOT algorithms: OC_Sort (CVPR'23).
• Add a new feature for small object detection using SAHI.