test_modeandself.load_eval_anns:info['eval_ann_info']=self.parse_ann_info(info)returninfodefparse_ann_info(self,info:dict)->dict:"""Process the `instances` in data info to `ann_info`.Args:info (dict): Data information of single data sample.Returns:dict: Annotation information consists o...
if isinstance(mode, str): # self.train() if not hasattr(self, mode): raise ValueError(f'runner has no method named "{mode}" to run an epoch') epoch_runner = getattr(self, mode) else: raise TypeError('mode in workflow must be a str, but got {}'.format(type(mode))) for _ in...
数据集:开始__getitem__,以及在其中通过整个pipeline进行transform# 进入Custom3DDataset的getitem,根据mode,进入了self.prepare_train_data(idx) 在prepare_train_data中主要执行三步,首先get_data_info把当前idx对应data相关路径和标签读取,首次放入了我们的dict,开始了我们的旅程。注意gt box的存放是一个mmdet3d转换...
train/test 读取图像信息+label信息 和train类似 合适/不合适 随机选取 直接选取 /mmdet/models: 模型实际实现函数 /mmdet.ops: 需要快速实现的操作,如:NMS、ROIPooling、ROIAlign... /mmdet/utils: 一些辅助操作,环境变量和版本等 -- mmdetection.tests /tests/all: 测试脚本,可以用来查看原理和测试 -- mmdetect...
_mode (bool, optional): ``test_mode=True`` means in test phase. Defaults to False. load_eval_anns (bool): Whether to load annotations in test_mode, the annotation will be save in `eval_ann_infos`, which can be used in Evaluator. Defaults to True. show_ins_var (bool): For debug...
'numpy.testing._private.nosetester', 'numpy.testing', 'scipy.optimize._constraints', 'scipy.optimize._trustregion_constr.projections', 'scipy.optimize._trustregion_constr.qp_subproblem', 'scipy.optimize._trustregion_constr.equality_constrained_sqp', 'scipy.optimize._trustregion_constr.canonical_cons...
add different iou threshold in test mode 4年前 requirements Handle scipy import in DETR (#4339) 4年前 resources Add logo and resources folder (#3230) 5年前 tests [Feature] Support to visualize results based on prediction quality (#4441) ...
验证PyTorch安装是否成功的方法与2.2.1节一样,如果想进一步验证PyTorch是否在使用GPU,可以运行以下这段测试GPU的程序test_gpu.py。 #cat test_gpu.py import torch if __name__ == '__main__': #测试 CUDA print("Support CUDA ?: ", torch.cuda.is_available()) ...
(classes=classes), # data_root=data_root, ann_file='/kaggle/input/hubmap2023-folds-ver0610/coco_annotations_train_fold0.json', data_prefix=dict(img= data_root + 'train/') ) ) val_dataloader = dict( batch_size=1, num_workers=2, dataset=dict( type=dataset_type, test_mode=True, ...
IC, LVD, PONY SVHC detection, ISO, Drop test report, SGS Technical requirements More information and products list, and any technical requirements please contact me feel free. I am looking forward for your kind inquiry. Yours Cherry Chen Send your message to this supplier *From: ...