I want to use a panoptic segmentation dataset in an open source annotation tool. I saw the documentation that CVAT can import the Datumaro format, so I thought it was worth a try. Environment No response
参考COCO 官方提供的:Data format 1 通用数据信息解读 COCO 有 5 个标注类型:object detection,keypoint detection,stuff segmentation,panoptic segmentation, 和image captioning。这些标注数据以JSON格式进行存储。数据源可进入download网页进行下载。有关这些标注数据的使用可参考我的另一篇博客:COCO 数据集的使用。 所有...
1#display COCO categories and supercategories2cats =coco.loadCats(coco.getCatIds())3nms=[cat['name']forcatincats]4print('COCO categories: \n{}\n'.format(''.join(nms)))56nms = set([cat['supercategory']forcatincats])7print('COCO supercategories: \n{}'.format(''.join(nms))) 输...
transformercocoimage-segmentationsemantic-segmentationcityscapesinstance-segmentationade20kpanoptic-segmentationuniversal-segmentationoneformer UpdatedOct 3, 2024 Jupyter Notebook toandaominh1997/EfficientDet.Pytorch Star1.4k Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch ...
This compact representation naturally maintains non-overlapping property of the panoptic segmentation. We provide several converters for COCO panoptic format. Full description and usage examples are available here. Semantic and instance segmentation heuristic combination We provide a simple script that ...
--format-only \ --cfg-options data.test.ann_file=data/coco/annotations/panoptic_image_info_test-dev2017.json data.test.img_prefix=data/coco/test2017 \ --eval-options jsonfile_prefix=${WORK_DIR}/results 2、在mmdet目录下运行如下:
COCO官方关于数据格式的说明:https://cocodataset.org/#format-data 统一数据格式 根据COCO官网的说明,COCO数据集的多种标注object detection, keypoint detection, stuff segmentation, panoptic segmentation, dense pose, 和 image captioning都是已JSON格式存储,且数据存储结构都如上图所示。
针对上述提到不同的TASK(object detection, keypoint detection, stuff segmentation, panoptic segmentation, densepose, and image captioning),COCO数据集有不同的标注类型。这些标注类型都用“JSON”格式进行存储。接下来将针对性的对其JSON内的标注格式进行详细介绍。
'panoptic_annotations_trainval2017', 'stuff_annotations_trainval2017' ] ''' super().__init__(*args, **kwds) self.__dict__ = self self.Z = self.__get_Z(root, annType) self.names = self.__get_names(self.Z) @staticmethod def __get_Z(root, annType): ''' Get the file name...
http://images.cocodataset.org/annotations/panoptic_annotations_trainval2017.zip 由于“instances_train2017.json”⾥⾯把所有训练集图⽚的标注信息整合到⼀个⽂件了，⽂件⾮常⼤，不太好查看内部具体内容。我从这个⽂件中提取出⼀张图⽚的信息保存成⼀个新的json⽂件。json⽂件内主要字段...