# Ultralytics YOLO 🚀, AGPL-3.0 licenseimportargparse# 导入命令行参数解析模块fromcollectionsimportdefaultdict# 导入默认字典模块frompathlibimportPath# 导入处理文件路径的模块importcv2# 导入 OpenCV 模块importnumpyasnp# 导入 NumPy 数学计算库fromshapely.geometryimportPolygon# 从 Shapely 几何库中导入多边形对象...
Image Segmentation Models | YOLOv8n-seg | | YOLOv8s-seg | | YOLOv8m-seg | | YOLOv8l-seg | | YOLOv8x-seg | Implementation Create Conda Environment conda create –n yolov8 python=3.9 conda activate yolov8 Install Pip install the ultralytics package including all requirements.txt pip...
Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question Hi, First of all thanks for your amazing repo .I had done the segmentation(yolov8n-seg) using your repo but now i need to imp...
::: ultralytics.data.converter.yolo_bbox2segment description: Explore the YOLODataset and its subclasses for object detection, segmentation, and multi-modal tasks. Find details on dataset loading, caching, and augmentation. keywords: Ultralytics, YOLODataset, object detection, segmentation, dataset ...
90-95: Segmentation exporter transformation check. Applying dataset.transform('masks_to_polygons') before export is correct for polygon-based YOLO formats. Everything else looks consistent with the new naming. 100-102: Consistent naming for pose exporter. Renamed function properly references Ultralytic...
At the moment, I found the following solution: get a mask from the YOLO segmentation results, search for contours on it (cv2.findContours) and work with the resulting coordinates. I expected to see the full coordinates of the segmentation polygon in the YOLO results. ...
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else: masks = polygons2masks((h, w), segments, color=1, downsample_ratio=self.mask_ratio)return masks, instances, clsdef v8_transforms(dataset, imgsz, hyp, stretch=False): """Convert images to a size suitable for YOLOv8 training.""" pre_transform = Compose([ ...
During the annotation process, the polygon tool was utilized to mark the edges of the camera operators, which is required for instance segmentation. This tool allowed us to draw precise polygons around the perimeter of each camera operator, capturing the exact contours of the individual, their ...