parent
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commit
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@ -3,6 +3,7 @@ from collections.abc import Sequence
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import mmcv
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import numpy as np
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import torch
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from mmcv.parallel import DataContainer as DC
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from PIL import Image
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from ..builder import PIPELINES
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@ -110,13 +111,34 @@ class Collect(object):
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This is usually the last stage of the data loader pipeline. Typically keys
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is set to some subset of "img" and "gt_label".
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Args:
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keys (Sequence[str]): Keys of results to be collected in ``data``.
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meta_keys (Sequence[str], optional): Meta keys to be converted to
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``mmcv.DataContainer`` and collected in ``data[img_metas]``.
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Default: ``('filename', 'ori_shape', 'img_shape', 'flip',
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'flip_direction', 'img_norm_cfg')``
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Returns:
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dict: The result dict contains the following keys
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- keys in``self.keys``
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- ``img_metas`` if avaliable
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"""
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def __init__(self, keys):
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def __init__(self,
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keys,
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meta_keys=('filename', 'ori_shape', 'img_shape', 'flip',
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'flip_direction', 'img_norm_cfg')):
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self.keys = keys
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self.meta_keys = meta_keys
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def __call__(self, results):
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data = {}
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img_meta = {}
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for key in self.meta_keys:
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if key in results:
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img_meta[key] = results[key]
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data['img_metas'] = DC(img_meta, cpu_only=True)
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for key in self.keys:
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data[key] = results[key]
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return data
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