- Introduce powerful file search feature with text, regex, and attribute filtering support (#1264)
- Enhance shape info display with difficult shape highlighting and double-click navigation in overview dialog (#1264)
- Apply dashed line style for difficult shapes in shape and canvas rendering (#1264)
- Integrate mask opacity configuration into canvas rendering
- Add semi-transparent mask rendering for shapes with toggle support (Ctrl+M)
- Suppress stderr output and filter command-line arguments
- Refresh canvas immediately after label modification
A total of 1 developer contributed to this release.
Thank @CVHub520
- Add support for SAM3-based "Track Concepts" with both Visual and Text Prompts (#1258)
- Add file_list_checkbox_editable option to control checkbox editability in file list (#678)
- Add project_readonly configuration to control project editability (#1242)
- Enhance remote server dialog for URL and API key configuration (#1241)
- Add support for modifying the remote_server URL (#1241)
- Add support for verifying PTH and PT model validation (#1241)
- Add double-click functionality to copy label text to clipboard (#1236)
- Fix Windows image file counting bug by using pathlib (#1258)
- Normalize task type selection and add warnings for unknown task types (#1253)
- Ensure image is set in navigator dialog when visible (#1220)
- Resolve resource loading failure in venv editable install mode (#1250)
- Handle None value for replace parameter in AutoLabelingResult
- Update user guide with note on YOLO label file directory placement (#1259)
- Update user guide to include new SAM3 video tracking features (#1258)
A total of 2 developers contributed to this release.
Thank @Atletico1999, @CVHub520
- Add cropping mode for improved small object detection in SAM (#1193)
- Clarify frame extraction interval label to avoid ambiguity
- Remove deprecated method from remote server
A total of 2 developers contributed to this release.
Thank @fystero, @CVHub520
- Add support for SAM3 model with text and visual promptable segmentation (#1207)
- Add concurrent batch processing support for chatbot (#1222)
- Enable EXIF scanning option in configuration and update label widget to utilize it (#1220)
- Add depth calibration feature for Depth Anything model (#1201)
- Improve wheel event handling in chat messages (#1222)
- Handle missing annotations for frames and log warnings in label converter (#1219)
- Improve progress dialog updates and error handling during frame extraction (#1219)
- Prevent unnecessary updates to navigator shapes when dialog is not visible (#1220)
- Resolve list index out of range and timeout issues in chatbot
- Correct indentation for data file loading logic in ultralytics dialog (#1216)
- Enhance FrameExtractionDialog layout and input styling for improved user experience (#1219)
- Increase API timeout to 300s for chatbot (#1222)
A total of 2 developers contributed to this release.
Thank @wangxiaobo775, @CVHub520
- Support dynamic label deletion from unique label list via Label Manager (#1191)
- Add remote server model support for text-prompted batch processing
A total of 1 developers contributed to this release.
Thank @CVHub520
- Add real-time instance segmentation model based on RF-DETR-Seg (#1184)
- Add support for remote inference via X-AnyLabeling-Server (#1175)
- Add shape visibility control in Label Manager for showing/hiding labels on canvas (#1172)
- Add CLI support for conversion tasks (#980)
- Add batch operations for video frame sequences (thanks @ltnetcase) (#1128)
- Add multi-label classification mode support
- Add device support for RTMDet and RTMO models
- Support customizable rotation increments (#1174)
- Support customizable attribute label colors in config file (#1178)
- Auto refresh model list and remove uninstalled models in chatbot
- Reset flags from current data on dialog initialization
- Preserve existing color and opacity for labels in LabelModifyDialog (#1185)
- Resolve group ID persistence across undo/edit operations (#1149)
- Ensure shapes are stored after label updates in the labeling widget (#1149)
- Handle non-ASCII paths in VOC annotation export on Windows (#1181)
- Enhance ONNX model validation with error handling and timeout management (#1180)
- Implement subprocess integrity check for ONNX models
- Apply sigmoid to logits for proper threshold comparison in GroundingSAM2 (thanks @tiucamaria) (#1179)
- Restore PyQt5 support for macOS
- Improve bounding box precision by removing int() truncation (thanks @xusuyong) (#1159)
- Fix empty keypoints check in RTMDet pose models
- Add detailed explanation on copy-paste functionality for annotation objects (#1183)
- Add troubleshooting information for ImportError related to expat module (#1158)
- Fix typos in README files
- Fix image panel resizing and simplify background styling in classifier dialog
- Add requests package to dependencies
A total of 6 developers contributed to this release.
Thank @Liyulingyue, @ltnetcase, @tiucamaria, @xusuyong, @jk4e, @CVHub520
- Add support for using backspace key to delete the last vertex when creating polygon and line shapes (#1151)
- Introduce DEIMv2 real-time object detector
- Add the ability to process all images at once with the Florence-2 model (#1152)
- Add max_det parameter for maximum detections in YOLO model (#1142)
- Enable auto_use_last_gid for digit shortcuts and reset on image switch (#1149)
- Add troubleshooting steps for exporting empty Mask images (#1153)
- Update rotation increments to radians and format degree display
A total of 4 developers contributed to this release.
Thank @lhj5426, @sckiyo, @Vlad188-1, @CVHub520
- Add Group ID Manager feature with Ctrl+Shift+G shortcut for auto-using last group ID (#1143)
- Fix image folder loading delays by implementing async EXIF detection (#e4bf7f6)
- Update Group ID Manager section in user guide (#1146)
- Add --qt-platform argument for improved performance on Fedora KDE environments (#1145)
A total of 2 developers contributed to this release.
Thank @vodnikss, @CVHub520
- Introduce a dedicated multi-class image classifier with a streamlined workflow (#480)
- Add support for Ultralytics image classification tasks
- Add support for deleting group IDs from objects (#1141)
- Add checkboxes for description and label visibility control (#1139)
- Add loop select labels functionality for sequential shape selection (#1138)
- Add support for drawing rectangle shapes outside canvas with auto-clipping (#1137)
- Add radio button support for attribute selection (#1135)
- Add an option to skip empty label files when creating YOLO datasets and update the UI (#1131)
- Add an option to preserve existing annotations when uploading YOLO labels (#1125)
- Add custom provider support for the chatbot and enhance the model dropdown feature
- Add cross-widget reference support in VQA dialog using
@widget_titlesyntax - Add support for paths wrapped in quotes for models and data
- Add select/deselect all shapes feature (#1092)
- Implement keyboard shortcuts for image navigation (A/D)
- Resolve inconsistent attribute behavior after shape creation and switching (#1134)
- Ensure linestrip's vertex is drawn regardless of selection state (#1134)
- Resolve issue where CUDA device count returns 0 after model export in Ultralytics training (#1126)
- Fix Windows path separator error in
train_script.py - Fix inconsistent shape order when using existing shapes for recognition in PP-OCR
- Fix issue where group ID info was only updated after successful modification
- Auto-update the attributes panel after shape creation (#1134)
- Improve shape selection logic for point and line types to enhance user interaction (#1134)
- Enhance shape selection for partial re-recognition in PP-OCR (#1113)
- Enhance AI prompts in VQA with cross-component and annotation data references
- Preserve original shape properties when skipping detection in OCR (#1116)
A total of 3 developers contributed to this release.
Thank @sckiyo, @Vlad188-1, @CVHub520
- Implement EXIF orientation processing for images during import, with user feedback and backup features
- Add mask fineness control slider for SAM series models to adjust segmentation precision (#1114)
- Add Re-recognition feature for PP-OCR models (#1113)
- Add support for PP-OCRv5 model (#1113)
- Add copy coordinates to clipboard feature
- Add circle to polygon transform feature (#1112)
- Add Navigator feature for high-resolution image navigation and zoom control (#1102)
- Add refresh button to sync data with main window and display success popup for VQA Dialog
- Enable shapes field export for VQA Dialog
- Fix 'gbk' codec decode error on windows during Ultralytics traning (#1115)
- Prevent deleting label file when "Keep Previous Annotation" is enabled by showing a warning to disable it first
- Fix Chinese character path support in crop image saving
- Enable ONNX Runtime library linking in x-anylabeling-*-gpu.spec
- Fix first image showing old dataset data after refresh in VQA dialog
- Enhance window title to display current image progress (#936)
- Adjust label bounding box calculations for improved text positioning
- Improve circle label positioning to center display
- Streamline color retrieval by using parent method for RGB values in LabelModifyDialog
- Update field count in VQA ExportLabelsDialog for accurate table height calculation and make table items non-editable
- Enhance button styles and dialog layout for improved user experience
- Enhance Ultralytics train/val dataset split with true randomization (#1095)
- Optimize the experience of adjusting the shape (#1094)
A total of 6 developers contributed to this release.
Thank @Einstellung, @lhj5426, @sckiyo, @xiaomaxiao, @zhixuwei, @CVHub520
- Support batch editing for multiple shapes (#1084)
- Introduce AI Assistant for VQA
- Add prompt template management to VQA
- Enhance VQA dialog with a new UI including sidebar toggles, streamlined navigation controls, improved page navigation, loading indicators, and updated button styles
- Fix issue with dragging and moving the image (#1088)
- Optimize SAM inference memory management (#1086)
A total of 4 developers contributed to this release.
Thank @jsolobang, @zhaoruibing, @zhixuwei, @CVHub520
- Add support for showing/hiding shape attributes on the canvas (#1076)
- Add functionality to save training logs with timestamp upon dialog closure (#1077)
- Skip validation for auto-labeling special constants
- Prevent closing UltralyticsDialog during active training session (#1077)
- Improve WSL2 detection for image file handling in UltralyticsDialog (#1077)
- Add UTF-8 encoding to file opening in validate_data_file function (#1077)
- Resolve Windows multiprocessing and matplotlib segfault issues
A total of 2 developer contributed to this release.
Thank @FreemanTang, @CVHub520
- Introduce Auto Training Platform for Ultralytics tasks (Detect/Segment/OBB/Pose)
A total of 1 developers contributed to this release.
Thank @CVHub520
- Introduce Auto Mask Decode (AMD) mode for continuous point tracking (#1060)
- Add new RF-DETR models (medium, small, nano) and fix input width typo in configuration files (#1069)
- Enhance range selection for group ID modification with new input fields and validation (#1035)
- Add support for MM-Grounding-DINO annotations upload
- Update error message for label validation to specify 'exact' in config file (#1064)
- Fix issues when drawing rectangular boxes (#1063 by zhixuwei)
- Add try-except for mask_to_polygons for supervision version compatibility (#1055 by adarshs)
- Improve segmentation handling by filtering invalid entries and avoiding duplicate points in polygon mode (#1032)
- Resolve KeyError when importing files via drag and drop (#1030)
- Enhance image saving logic to handle non-ASCII paths and improve multiprocessing handling in frozen environments (#1021)
- Improve crop region validation and handle empty cropped images with warnings (#1021)
- Emit model_loaded signal even if loading custom model configuration fails
- Update frame ID extraction logic to handle underscores and non-digit cases (#1020)
- Correct variable name from 'has_vasiable' to 'has_visible' for accurate keypoint processing
- Simplify toggle button text for clarity in label and shape information display
- When looping through shapes, display their fill colors (#1025 by zhixuwei)
A total of 3 developers contributed to this release.
Thank @zhixuwei, @adarshs, @CVHub520
- Add customizable field export options for VQA dialog
- Add ability to adjust the visible area of the image by dragging the mouse (#1019)
- Fix VQA keyboard shortcut (Ctrl+Q → Ctrl+1)
A total of 2 developer contributed to this release.
Thank @zhixuwei, @CVHub520
- Support
RMBG v2.0model for image matting - Add output_path parameter to COCO label converter methods for custom output paths
- Add real-time result preview for matting and depth estimation tasks
- Add GUI support for uploading custom label classes (#988)
- Add rectangle scaling and edge adjustment with mouse wheel support (#989)
- Add automatic update check on startup
- Add Visual Question Answering tool
- Improve error handling and logging for annotation export and upload processes (#974)
- Fix annotation_id increment in COCO data processing (#976)
- Fix failure to click again after custom model loading
- Fix scrollbar slider display issue
- Fix issue where copied shapes fail to be saved
- Fix auto-save bug after undo operations when switching images (#1013)
- Add solution to CUDA dependency error:
Could not locate cublasLt64_12.dll. Please make sure it is in your library path!(#1014) - Add solution to efficiency improvement plan for multi-object keypoint annotation and grouping (#982)
- Add CLA, contributing templates, and README contributor section
- Improve QWebEngineView import error handling in chatbot
- Improve thumbnail rendering by mapping file extensions to model types in auto-labeling service
- Improve shape adjustment convenience
- Improve click-to-move editing with state cleanup and cursor feedback
A total of 7 developer contributed to this release.
Thank @1955946542, @donkinone, @ljh725, @pipihuang2, @sunmooncode, @zhixuwei, @CVHub520
- Added Digit Shortcut Manager for quick shape creation using numeric keys (#945)
- Added support for preserving existing annotations in SegmentAnything2Video model
- Updated FAQ entries for ONNX model IR version issues with resolution steps
- Added FAQ entry on accessing external models like 'Google Gemini' through proxy settings
- Converted BrightnessContrastDialog to singleton to reduce instantiation overhead (#954)
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
YOLOEmodel for text/visual prompting and prompt-free grounding
- Fixed crash issue during keypoint annotation (#952)
A total of 1 developers contributed to this release.
Thank @CVHub520
- Add support for Ultralytics RT-DETR object detection models (#944)
- Enhance label history management by adding removal and addition methods for label history
- Add 'pillow' to requirements for macOS, Windows, and Linux (#942)
- Initialize image_data before base64 encoding in save_auto_labeling_result (#946)
- Optimize image folder import performance by disabling automatic EXIF processing (#945)
- Update requirements-macos.txt (#939)
- Add FAQ entry for OpenSSL Uplink error during startup (#941)
A total of 3 developers contributed to this release.
Thank @DenDen047, @4399123, @CVHub520
- Add ffmpeg acceleration and non-ASCII path support (#891)
- Allow downloading models from ModelScope in addition to existing sources
- Enable one-click import and export of labels for VLM-R1-OVD
- Enable the Chatbot to annotate multimodal datasets for Vision-Language Models (VLMs)
- Enable automatic saving of group IDs when grouping or ungrouping shapes using shortcut keys G (group) and U (ungroup). (#855)
- Introduce GroupID filter and improve label filtering functionality (#686)
- Support GeCo zero-shot counting model (#863)
- Support Grounding-DINO-1.6-API open-set object detection model
- Support YOLO12 object detection model
- Support D-FINE object detection model
- Support RF-DETR object detection model
- Fix bug in
predict_shapesforFlorence-2model (#913) - Replace
os_sortedwithnatsortedto avoid potential segfault (#906) - Merge multi-part segmentations into single instance on export (#910)
- Handle exceptions in model loading by initializing local_model_data to an empty dictionary for improved stability (#901)
- Prevent UI disappearance when ESC key is pressed during AI annotation (#423)
- Fixed the bug about exporting the empty labels (#881)
- Move image conversion to avoid redundant processing when using cached embeddings (#915)
- Add new FAQs addressing common runtime errors and file loading issues, including solutions and references to related GitHub issues (#869, #906, #907)
- Enhance image processing logic to support dynamic batch handling based on model type, improving efficiency in auto-labeling operations
- Introduce
iou_thresholdandconf_thresholdparameters across various model configurations for enhanced detection accuracy - Remove imgviz dependency from requirements and update colormap implementation in labeling utilities for improved modularity
- Optimize batch processing with UI/backend separation (#757)
- Enhance shape visibility handling in labeling interface (#669)
- Updated the merge_shapes method to handle both rectangle and polygon shapes, allowing for more versatile shape unions. (#561)
A total of 8 developers contributed to this release.
Thank @Pecako2001, @liutao, @shyhyawJou, @talebolano, @urbaneman, @wangxiang0722, @Little-King2022, @CVHub520
- Support
YOLOv8-SAM2.1instance segmentation model
- Improve canvas painting state management during image processing
- Reset
pose_datafor each new image in pose mode (#791)
- Add guide for selecting all annotation shapes (#759)
- Remove
YOLOv8-EfficientViT-SAMmodel support
A total of 2 developers contributed to this release.
Thank @aiyou9, @CVHub520
- Fix loading mistake in batch processing (#777)
- Reset
pose_datafor each new image in pose mode (#791)
- Optimize performance for large files (#743)
A total of 1 developer contributed to this release.
Thank @CVHub520
- Enhance export functionality with
classes.txtand zip output (#775)
- Fix image dimension validation errors (#762)
- Update downloads badges in
README
A total of 1 developer contributed to this release.
Thank @CVHub520
- Optimize inference efficiency during batch task execution
- Support
Hyper-YOLO - Add CPU support and optimize model loading for
Florence-2
- Fix GBK codec decoding error in
RAMmodel loading process - Fix dtype casting in
RAMmodel preprocessing - Fix
text_encoder_typepath inopen_vision.yaml
- Improve visibility in dark mode for MacOS
- Update
OpenVisionREADMEwith new installation instructions
A total of 2 developers contributed to this release.
Thank @chevydream, @CVHub520
- Support interactive visual-text prompting for generic vision tasks
- Optimize rectangle mode in auto-labeling to use minimum bounding box
- Support
SAM2.1model - Support
Florence-2model (#679) - Support
UPNmodel for proposal box generation - Support
YOLOv5-SAHImodel - Add range selection for label batch modification (#708)
- Add options dialog with additional export path selection (#702)
- Support importing/exporting COCO keypoint annotations (#190)
- Support
DocLayout-YOLOmodel - Add option to color bounding boxes by category or instance
- Add action to loop through each label
- Handle invalid file paths in natural sort during import (#734)
- Improve mask overlapping handling in
custom_to_maskmethod during export - Fix path parsing error of
save_cropfunction - Disable delete action when no shapes present
- Fix image normalization in
Recognize-Anything-Modelpreprocessing (#657)
- Add ONNX Runtime compatibility information to installation docs
- Modernize
GroupIDModifyDialogwith improved styling
A total of 3 developers contributed to this release.
Thank @julianstirling, @CVHub520, @wpNZC
- Support
YOLOv11Det/OBB/Pose/Seg/Track models (integrating Ultralytics v8.3.0)
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
RMBG v1.4model for image matting
- Ensure integer values for shape dimensions in
show_shapesignal - Fix model loading error for
YOLOv6liteface models (#638)
- Enhance logging with bold and colored headers
- Modify indexing operations to improve file navigation efficiency
- Improve EXIF orientation handling with backup and logging
- Implement natural sorting for
QListWidgetlabels (#627) - Support user-defined labels and track IDs (#629)
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support interactive video object tracking by
SAM2(#602) - Implement functionality to visualize drawing results
- Fix typo in
upload_coco_annotationfunction
- Add vscode configuration files for module debugging and profiling
A total of 1 developer contributed to this release.
Thank @CVHub520
- Add dialog for modifying
group_id - Support exporting MOTS annotations
- Fix patch memory leak in image caching during image transitions
- Retain labels during switch model instances
A total of 1 developer contributed to this release.
Thank @CVHub520
- Implement masked image saving functionality
- Support tracking by HBB/OBB/SEG/POSE task
- Support
GroundingSAM2model - Support lightweight model for Japanese recognition
- Support
Segment-Anything-2model - Enable
move_modeparameter inlabel_dialog - Add
use_system_clipboardaction - Enable import/export of ODVG annotations (
Grounding DINOdataset) - Support
RT-DETRv2model - Support
RAM++andYOLOW-RAM++models - Implement feature to draw KIE linking lines with arrowheads
- Support displaying and exporting shape-level information
- Enable
Depth-Anythingmodel prediction (color/grayscale) - Add import/export functionality for PPOCR-KIE annotations
- Support annotating KIE linking field
- Support annotating out-of-pixmap rotation shapes
- Support
depth-anything-v2model - Add import/export functionality for PPOCR label
- Add toggle for continuous drawing mode
- Support union of multiple selected rectangle shapes
- Add system clipboard copy mode
- Add ability to delete label items based on checkbox selection
- Enable opening previous/next labeled image
- Implement crosshair and marking box style customization
- Add widget for converting polygon to HBB
- Add
YOLO-Poseimport/export functionality - Enable exporting VOC-format annotations for polygon shape
- Add preserve existing annotations checkbox and real-time confidence adjustment
- Add visibility feature for keypoint detection task
- Support
YOLOv8-WorldandYOLOv8-OIV7models - Add feature to display confidence score
- Fix image distortion issue during brightness/contrast adjustment
- Fix
TypeErrorinfillRectfor higher Python versions - Fix
too many values to unpackerror during YOLO class post-process - Fix
invalid literal for int()with base issue - Avoid
directory not emptyerror when loading model - Prevent crash when switching from image directory to imported image
- Fix BMP image loading issue (missing
_getexifattribute)
- Refresh X-Anything app icon
- Implement structured
ISSUE_TEMPLATE - Add
SECURITY.mdfile - Optimize code related to "actions"
- Add extensive documentation examples for various tasks (OCR, MOT, Pose, Segmentation, Detection, Depth, Description, Classification)
- Add
faq.mdfile
A total of 3 developers contributed to this release.
Thank @UnlimitedWand, @PairZhu, @CVHub520
- Support
YOLOv8-WorldandYOLOv8-OIV7models
A total of 1 developer contributed to this release.
Thank @CVHub520
- Fix
TypeErrorin YOLO model (ensuresetTextaccepts only strings) - Fix
ValueErrorby adding a check for selected shape existence (#388) - Fix
list index out of rangewhen exporting DOTA annotations
- Optimize brightness and contrast adjustment performance
A total of 1 developer contributed to this release.
Thank @CVHub520
- Enhance image cropping: polygon and rotation
shape_typesupport (#331) - Add widget for converting OBB to HBB
- Fix
TypeErrorin YOLO model (ensuresetTextaccepts only strings) - Fix
IndexErrorin Canvas widget's shape module (#332) - Fix invalid path issue when loading JSON file in Windows environment
- Refine canvas reset behavior to prevent unintended blank canvas
- Improve performance for loading large image files
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
YOLO-Worldmodel - Enable label display feature
A total of 1 developer contributed to this release.
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- Add expanded sub-image save feature
- Support converting YOLO-HBB/OBB/SEG labels to custom format
- Add real-time progress bar for mask annotation uploads
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
YOLOv9model - Support converting horizontal bounding box (HBB) to rotated bounding box (OBB)
- Support label deletion and renaming
- Support quick tag correction
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support saving cropped rectangle shapes
- Combine
CLIPandSAMmodels - Support
Depth Anythingmodel for depth estimation
A total of 1 developer contributed to this release.
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- Support
YOLOv8-OBBmodel - Support
RTMDetandRTMOmodels - Release Chinese license plate detection and recognition model based on
YOLOv5
A total of 1 developer contributed to this release.
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- Add label background color rendering
- Add one-click clear point prompts in SAM annotation mode
- Extend rectangle box editing to four-point editing mode
- Support automatically switching to editing mode on hover
- Implement one-click export for segmented mask images
- Add one-click import/export for YOLO/VOC/COCO/DOTA/MASK/MOT labels
- Introduce data statistics for the current task
- Add functionality to hide/show selected objects
- Add real-time preview of filename and annotation progress
- Support "Difficult" label
- Add bottom status bar displaying mouse coordinates and selected object dimensions
- Enable direct modification of object text descriptions in the label editing box
- Remove confirmation dialog for object deletion
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
InternImageclassification model
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
Grounding-SAM(GroundingDINO+HQ-SAM) - Enhance support for
HQ-SAMmodel - Support
PersonAttributeandVehicleAttributemodels for multi-label classification - Introduce multi-label attribute annotation functionality
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support pose estimation:
YOLOv8-Pose(#103) - Support object-level tagging with
yolov5_ram - Add capability to adjust
keep_prev_brightnessandkeep_prev_contrast(#104) - Add feature for batch labeling arbitrary unknown categories based on
Grounding-DINO
A total of 1 developer contributed to this release.
Thank @CVHub520
- Release X-AnyLabeling
v1.0.0 - Add rotation box annotation feature
- Support
YOLOv5-OBBwithDroneVehicleandDOTAmodels - Add
GroundingDINOmodel for zero-shot object detection - Add
Recognize Anythingmodel for image tagging
A total of 1 developer contributed to this release.
Thank @CVHub520
- Release
Gold-YOLOandDAMO-YOLOmodels - Release MOT algorithm:
OC_Sort(CVPR'23) - Add feature for small object detection using
SAHI
A total of 1 developer contributed to this release.
Thank @CVHub520
- Support
EfficientViT-SAMmodel
A total of 1 developer contributed to this release.
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- Support
YOLOv5-SAMmodel
- Fix issues #51, #60, #62
A total of 1 developer contributed to this release.
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- Support
PP-OCRv4model - Add Model Lists
A total of 1 developer contributed to this release.
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No specific changes listed for this release tag.
A total of 1 developer contributed to this release.
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- Add
MobileSAM,MedSAM,SAM-Med2Dmodels - Add
LVM-Medmodel (Kvasir, ISIC, BUID segmentation) - Add
CLRNetmodel for lane detection - Add
DWPosemodel for whole-body pose estimation
- Fix
YOLOv8issue - Fix GPU inference result exception
A total of 1 developer contributed to this release.
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- Add
YOLO-NASmodel (v3.1.1) - Add
YOLOv8-Segmodel
A total of 1 developer contributed to this release.
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Update executable files.
A total of 1 developer contributed to this release.
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- Release initial public version of X-AnyLabeling
- Support
YOLOv5(v7.0) - Support
YOLOv6(v0.4.0) - Support
YOLOv6Face(v0.4.0) - Support
YOLOv7(main) - Support
YOLOv8(main) - Support
YOLOX(main) - Support
YOLO-NAS(v3.1.1) - Support
YOLOv8-Seg(main) - Support
Mobile-SAM
A total of 1 developer contributed to this release.
Thank @CVHub520