Pinned Repositories
Csharp_deploy_Yolov8
GUI_YOLOv5_pyqt5
HslCommunicationDemo
基于HslCommunication.dll库的西门子PLC，三菱PLC，Modbus tcp代码使用Demo项目，并带有一个曲线控件的使用示例。
ISAT_with_segment_anything
Labeling tool by SAM(segment anything model),supports SAM, sam-hq, MobileSAM etc.交互式半自动图像标注工具
OpenCVImage
📸 A project covering all basic operations of OpenCV based on Qt
PyQt5-YOLOv5-7.0-2
这是一个适配7.0模型的pyqt界面2
segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
SLMaster
SLMaster是一个较为完整的开源结构光3D相机软件（Structured-Light）。你能够使用它完成从标定、条纹编码、三维重建、点云后处理一系列操作。欢迎Star⭐和Fork。
yolov5_7.0
YOLOv5的7.0版本+pyqt5界面+人脸表情识别
yolov5_training_tool
本工具使用PYQT5编写界面。通过使用该工具可以快速部署相应数据集并训练，目前仍在不断更新中，较大的缺点是目前只支持PascalVOC格式的xml标签文件，所以其它格式的标签文件需要先转换为PascalVOC的格式，且目前仅适用于Linux系统且仅在Ubuntu16.04-20.04试运行。
zhubaomingbm's Repositories
zhubaomingbm/Csharp_deploy_Yolov8
zhubaomingbm/GUI_YOLOv5_pyqt5
zhubaomingbm/HslCommunicationDemo
基于HslCommunication.dll库的西门子PLC，三菱PLC，Modbus tcp代码使用Demo项目，并带有一个曲线控件的使用示例。
zhubaomingbm/ISAT_with_segment_anything
Labeling tool by SAM(segment anything model),supports SAM, sam-hq, MobileSAM etc.交互式半自动图像标注工具
zhubaomingbm/OpenCVImage
📸 A project covering all basic operations of OpenCV based on Qt
zhubaomingbm/PyQt5-YOLOv5-7.0-2
这是一个适配7.0模型的pyqt界面2
zhubaomingbm/segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
zhubaomingbm/SLMaster
SLMaster是一个较为完整的开源结构光3D相机软件（Structured-Light）。你能够使用它完成从标定、条纹编码、三维重建、点云后处理一系列操作。欢迎Star⭐和Fork。
zhubaomingbm/yolov5_7.0
YOLOv5的7.0版本+pyqt5界面+人脸表情识别
zhubaomingbm/yolov5_training_tool
本工具使用PYQT5编写界面。通过使用该工具可以快速部署相应数据集并训练，目前仍在不断更新中，较大的缺点是目前只支持PascalVOC格式的xml标签文件，所以其它格式的标签文件需要先转换为PascalVOC的格式，且目前仅适用于Linux系统且仅在Ubuntu16.04-20.04试运行。
zhubaomingbm/YOLOv8-PySide6-GUI
YoloSide - YOLOv8 GUI By PySide6