Releases: CVHub520/X-AnyLabeling
X-AnyLabeling v2.5.0
feat: ✨ Introduce support for visual prompt grounding model (#568)
X-AnyLabeling v2.4.4
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | d8d33f16e5afae68b410ad331c98d2da |
X-Anylabeling-Linux-CPU | 1e6746f82e095dcc22d51b11594adc96 |
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: v2.4.3...v2.4.4
X-AnyLabeling v2.4.3
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | e51ee39db428686c6e1dfea53f80d148 |
X-Anylabeling-Linux-CPU | 3d2a3751229e6a702b52862367306c4a |
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
- [Bug fixed] Ensure integer values for shape dimensions in show_shape signal by @CVHub520 in f974994
- [Bug fixed] Fixed model loading error for YOLOv6lite face models (#638) by @CVHub520 in 995cf04
- [Refactor] Enhance logging with bold and colored headers for better readability by @CVHub520 in 73a4288
- [Model] Added support RMBG v1.4 model for image matting by @CVHub520 in 5a599e8
- [Optimize]: Modify indexing operations to improve file navigation efficiency by @CVHub520 in e67a79f
- [Optimize] Improve EXIF orientation handling with backup and logging by @CVHub520 in 59a73fa
- [Optimize] Implement natural sorting for QListWidget labels (#627) by @CVHub520 in 3638fa9
- [Optimize] Enable support for user-defined labels and track IDs (#629) by @CVHub520 in b173161
Full Changelog: v2.4.2...v2.4.3
X-AnyLabeling v2.4.2
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 870548a8ef4310f811ec205ab625cdef |
X-Anylabeling-Linux-CPU | 2df31af95c868640afc199772cbbf6d6 |
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 0437e39
- [Feature] Implement functionality to visualize drawing results @CVHub520 in cf8faf5
- [Debug] Add vscode configuration files for module debugging and profiling by @CVHub520 in c807139
- [Update] Fix typo in upload_coco_annotation function by @CVHub520 in 6be1cc2
Full Changelog: v2.4.1...v2.4.2
X-AnyLabeling v2.4.1
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 99aafdfef8367fbe306425edae2745eb |
X-Anylabeling-Linux-CPU | 4c6358c7b6d1c0c3596b4c54e8ed6745 |
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 5c498c2
- [Bug fixed] Retain labels during switch model instances by @CVHub520 in 90217a9
- [Feature] Add dialog for modifying group_id by @CVHub520 in 04b6298
- [Feature] Add support to export mots annotations by @CVHub520 in da12032
Full Changelog: v2.4.0...v2.4.1
X-AnyLabeling v2.4.0
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 8442c84cafdf6deddfe9e5fceb9af17e |
X-Anylabeling-Linux-CPU | b13829a34a1ff0f0b193c51fc4d951ea |
Note
To utilize GPU acceleration or the macOS version, refer to the guide at this.
Supported models
Task | Model |
---|---|
Image Classification | ResNet50, InternImage, YOLOv5-cls, YOLOv8-cls, PULC Person/Vehicle Attribute |
Object Detection | YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, 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 | Bot-Sort, ByteTrack |
Segment Anything | SAM2, SAM, SAM-HQ, EdgeSAM, MobileSAM, EfficientViT-SAM, Med-SAM2D |
Optical Character Recognition | PPOCRv4 |
Land Detection | CLRNet |
Image Captioning | RAM++, RAM |
Visual Language Model | Grounding-DINO, Chinese-CLIP, YOLO-World |
Depth Estimation | Depth Anything v2, Depth Anything |
Important updates
- Bumped to v2.4.0 with a refreshed X-Anything app icon by @CVHub520 in fd1d8e9
- Implement structured ISSUE_TEMPLATE for better issue management by @CVHub520 in 6c1a7b3
- Create SECURITY.md file by @CVHub520 in 838bc29
- Optimize code related to "actions" by @PairZhu in a377764
New features
- Implemented masked image saving functionality by @CVHub520 in f076e28
- Add support to tracking by hbb/obb/seg/pose task by @CVHub520 in 479bfce
- Support GroundingSAM2 model by @CVHub520 in b242f15
- Support lightweight model for Japanese recognition by @CVHub520 in 1a6abf5
- Support Segment-Anything-2 model by @CVHub520 in 4e68572
- Enable move_mode parameter in label_dialog for enhanced interaction control by @CVHub520 in 4a943ad
- Add use_system_clipboard action by @PairZhu in d7c9430
- Enable import/export of ODVG annotations to and from the Grounding DINO dataset by @CVHub520 in 918a8b5
- Add support to RT-DETRv2 model by @CVHub520 in 0fe5cff
- Add support RAM++ and YOLOW-RAM++ model by @CVHub520 in c1aa103
- Implement feature to draw KIE linking lines with arrowheads by @CVHub520 in b8f98f1
- Add support for displaying and exporting shape-level information by @CVHub520 in b9f201c
- Enable Depth-Anything model prediction with color and grayscale rendering modes by @CVHub520 in 837a642
- Add import and export functionality for PPOCR-KIE annotations by @CVHub520 in bbab395
- Add support to annotate KIE linking field by @CVHub520 in 4441704
- Add support for annotating out-of-pixmap rotation shapes by @CVHub520 in fe3cb53
- Add support for the depth-anything-v2 model by @CVHub520 in 6dd8ab1
- Add import and export functionality for PPOCR label by @CVHub520 in ae79d56
- Add toggle for continuous drawing mode without automatic switch to edit mode by @CVHub520 in 7ba6458
- Support union of multiple selected rectangle shapes by @CVHub520 in 8244cce
- Add system_clipboard copy mode by @PairZhu in 24d14f2
- Add ability to delete label items based on checkbox selection by @CVHub520 in 6020b85
- Enable opening previous/next labeled image by @CVHub520 in 8f5d0e6
- Implement crosshair and marking box style customization by @CVHub520 in 233dd4f
- Add widget for converting polygon to hbb support by @CVHub520 in 00d3fff
- Add yolo-pose import and export functionality by @CVHub520 in 99fb6c8
- Enable export voc-format annotations for polygon shape by @CVHub520 in 15ee242
- Add preserve existing annotations checkbox to auto-labeling settings and allow real-time confidence parameter adjustments on the interface by @CVHub520 in ec1ae44
- Add visibility feature for keypoint detection task by @CVHub520 in 5d8a7c1
- Support yolov8-world and yolov8-oiv7 model by @CVHub520 in 98a95db
- Add feature to display confidence score by @CVHub520 in e6de5e6
Docs
- Add faq.md file by @CVHub520 in ea098d0
- Add OCR example by @CVHub520 in 37b3150
- Add MOT example by @CVHub520 in 66d1a55
- Add Pose Estimation example by @CVHub520 in 9874bee
- Add Segmentation example by @CVHub520 in b49bd61
- Add HBB Object Detection example by @CVHub520 in e52c501
- Add OBB Object Detection example by @CVHub520 in 34d6411
- Add Depth Estimation example by @CVHub520 in f650b9a
- Add Description examples by @CVHub520 in 106c1bf
- Add Shape-level Classification examples by @CVHub520 in cf7ff2c
- Add Image-level Classification examples by @CVHub520 in c8109c1
Bug fixed
- Fixed image distortion issue during brightness and contrast adjustment by @CVHub520 in 252ded0
- Fixed type error in fillRect by converting float values to int for compatibility with higher Python version by @CVHub520 in 71cfc30
- Resolved too many values to unpack error during YOLO class post-process by @CVHub520 in a69077d
- Fixed invalid literal for int() with base issue by @CVHub520 in 9380142
- Avoided directory not empty error when loading model @CVHub520 in 599327b
- Prevented crash when switching from image directory to imported image by @CVHub520 in 2402268
- Fixed the issue where BMP image files could not be loaded due to the missing '_getexif' attribute by @UnlimitedWand in 6f64077
Full Changelog: v2.3.7...v2.4.0
X-AnyLabeling v2.3.7
Supported models
Task | Model |
---|---|
Image Classification | ResNet50, InternImage, YOLOv5-cls, YOLOv8-cls, PULC Person/Vehicle Attribute |
Object Detection | YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, 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 |
X-AnyLabeling v2.3.6
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | e1116910bf307c1eeee4cfb2e23cad99 |
X-AnyLabeling-GPU.exe | c42b79aad0c77526fa0e155ad4f2b13c |
X-Anylabeling-Linux-CPU | b19c67157a971ddc7d6e3b69ca53d9c7 |
X-Anylabeling-Linux-GPU | e5cfa26a75c1b77b50197bbc8b708087 |
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, YOLOv10, 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
- ✅ [Fixed TypeError in YOLO model by ensuring setText accepts only string… · CVHub520/X-AnyLabeling@6f44](b73c268)
- ✅ 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
X-AnyLabeling v2.3.5
Released versions
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 960a981d31231a6cc2af1a5ca108e1cb |
X-AnyLabeling-GPU.exe | fc8aaf1ff6133b0edc0a38b6553bf04a |
X-Anylabeling-Linux-CPU | cb69ed2b1e5e8c4daf273853631e7a5d |
X-Anylabeling-Linux-GPU | 7509bfcbc1ef7c85bdaf152c14030072 |
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
- ✅ 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
X-AnyLabeling v2.3.4
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 model.
- ✅ Enable label display feature.