metainfo = { 'classes': ('class1','class2', 'class2',), 'palette': [ (220, 20, 60), (221, 11, 22),(221, 11, 42), ] }方案二:修改mmdet/evaluation/metrics 文件的内容,mmdet 是 python/site-package下的 mmdet1 修改 mmdet/evaluation/functional/class_names.py1...
dict: The dict contains loaded image and meta information. """ if self.file_client is None: self.file_client = mmcv.FileClient(**self.file_client_args) if results['img_prefix'] is not None: filename = osp.join(results['img_prefix'], results['img_info']['filename']) else: filen...
create_meg_info首先解读数据集，整理成 python 的字典格式，其包括两个值：data_list和meta_info。然后...
第十三个:Collect3D,这一步其实很简单,就是用于pipeline的最后一步,其根据我们初始化时候给它指定的meta_keys,为了我们具体的任务搞出来所需要的整顿好,把dict中我们已经存下的这么多东西进行自定义的收集,放入img_metas这个key中,其是一个包含了我们所收集的内容的DataContainer。 """Collect data from the loader...
METAINFO = { 'classes': ('Pedestrian', 'Cyclist', 'Car') } def parse_ann_info(self, info): """Process the `instances` in data info to `ann_info`. Args: info (dict): Data information of single data sample. Returns: dict: Annotation information consists of the following keys: ...
in create_input meta_data = _get_dataset_metainfo(self.model_cfg) File "C:\Users\user\anaconda3\envs\openmmlab\lib\site-packages\mmdeploy\codebase\mmpose\deploy\pose_detection.py", line 102, in _get_dataset_metainfo meta = dataset_mmpose._load_metainfo( File "d:\mmpose\mmpose\datasets...
forward([one_img], [[one_meta]], return_loss=False) batch_results.append(result) Example #4Source File: inference.py From AerialDetection with Apache License 2.0 5 votes def init_detector(config, checkpoint=None, device='cuda:0'): """Initialize a detector from config file. Args: config...
create_meg_info首先解读数据集，整理成 python 的字典格式，其包括两个值：data_list和meta_info。然后...
训练的时候,首先进入parse_data_info函数,然后调用parse_ann_info函数。其中的参数info是 读取的 pkl 格式。其中,METAINFO 根据自定义数据集的实际类别情况修改。下面 gt_bboxes_3d 也根据实际情况自行编写: gt_bboxes_3d=LiDARInstance3DBoxes(ann_info['gt_bboxes_3d'],box_dim=ann_info['gt_bboxes_3d...
I haved modified the metainfo, but I still got the issue, can someboy help me, thanks !! -> ValueError: classEpochBasedTrainLoopin mmengine/runner/loops.py: classCocoDatasetin mmdet/datasets/coco.py: need at least one array to concatenate ...