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# Copyright (c) OpenMMLab. All rights reserved.
from mmengine.structures import BaseDataElement, InstanceData
class KIEDataSample(BaseDataElement):
"""A data structure interface of MMOCR. They are used as interfaces between
different components.
The attributes in ``KIEDataSample`` are divided into two parts:
- ``gt_instances``(InstanceData): Ground truth of instance annotations.
- ``pred_instances``(InstanceData): Instances of model predictions.
Examples:
>>> import torch
>>> import numpy as np
>>> from mmengine.structures import InstanceData
>>> from mmocr.data import KIEDataSample
>>> # gt_instances
>>> data_sample = KIEDataSample()
>>> img_meta = dict(img_shape=(800, 1196, 3),
... pad_shape=(800, 1216, 3))
>>> gt_instances = InstanceData(metainfo=img_meta)
>>> gt_instances.bboxes = torch.rand((5, 4))
>>> gt_instances.labels = torch.rand((5,))
>>> data_sample.gt_instances = gt_instances
>>> assert 'img_shape' in data_sample.gt_instances.metainfo_keys()
>>> len(data_sample.gt_instances)
5
>>> print(data_sample)
<KIEDataSample(
META INFORMATION
DATA FIELDS
gt_instances: <InstanceData(
META INFORMATION
pad_shape: (800, 1216, 3)
img_shape: (800, 1196, 3)
DATA FIELDS
labels: tensor([0.8533, 0.1550, 0.5433, 0.7294, 0.5098])
bboxes:
tensor([[9.7725e-01, 5.8417e-01, 1.7269e-01, 6.5694e-01],
[1.7894e-01, 5.1780e-01, 7.0590e-01, 4.8589e-01],
[7.0392e-01, 6.6770e-01, 1.7520e-01, 1.4267e-01],
[2.2411e-01, 5.1962e-01, 9.6953e-01, 6.6994e-01],
[4.1338e-01, 2.1165e-01, 2.7239e-04, 6.8477e-01]])
) at 0x7f21fb1b9190>
) at 0x7f21fb1b9880>
>>> # pred_instances
>>> pred_instances = InstanceData(metainfo=img_meta)
>>> pred_instances.bboxes = torch.rand((5, 4))
>>> pred_instances.scores = torch.rand((5,))
>>> data_sample = KIEDataSample(pred_instances=pred_instances)
>>> assert 'pred_instances' in data_sample
>>> data_sample = KIEDataSample()
>>> gt_instances_data = dict(
... bboxes=torch.rand(2, 4),
... labels=torch.rand(2))
>>> gt_instances = InstanceData(**gt_instances_data)
>>> data_sample.gt_instances = gt_instances
>>> assert 'gt_instances' in data_sample
"""
@property
def gt_instances(self) -> InstanceData:
"""InstanceData: groundtruth instances."""
return self._gt_instances
@gt_instances.setter
def gt_instances(self, value: InstanceData):
"""gt_instances setter."""
self.set_field(value, '_gt_instances', dtype=InstanceData)
@gt_instances.deleter
def gt_instances(self):
"""gt_instances deleter."""
del self._gt_instances
@property
def pred_instances(self) -> InstanceData:
"""InstanceData: prediction instances."""
return self._pred_instances
@pred_instances.setter
def pred_instances(self, value: InstanceData):
"""pred_instances setter."""
self.set_field(value, '_pred_instances', dtype=InstanceData)
@pred_instances.deleter
def pred_instances(self):
"""pred_instances deleter."""
del self._pred_instances
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