v0.0.2
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# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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from abc import ABCMeta
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import torch
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import torch.nn as nn
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from scepter.modules.annotator.registry import ANNOTATORS
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from scepter.modules.model.base_model import BaseModel
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from scepter.modules.utils.config import dict_to_yaml
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@ANNOTATORS.register_class()
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class BaseAnnotator(BaseModel, metaclass=ABCMeta):
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para_dict = {}
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def __init__(self, cfg, logger=None):
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super().__init__(cfg, logger=logger)
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@torch.no_grad()
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@torch.inference_mode
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def forward(self, *args, **kwargs):
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raise NotImplementedError
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@staticmethod
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def get_config_template():
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return dict_to_yaml('ANNOTATORS',
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__class__.__name__,
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BaseAnnotator.para_dict,
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set_name=True)
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@ANNOTATORS.register_class()
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class GeneralAnnotator(BaseAnnotator, metaclass=ABCMeta):
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def __init__(self, cfg, logger=None):
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super().__init__(cfg, logger=logger)
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anno_models = cfg.get('ANNOTATORS', [])
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self.annotators = nn.ModuleList()
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for n, anno_config in enumerate(anno_models):
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annotator = ANNOTATORS.build(anno_config, logger=logger)
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annotator.input_keys = anno_config.get('INPUT_KEYS', [])
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if isinstance(annotator.input_keys, str):
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annotator.input_keys = [annotator.input_keys]
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annotator.output_keys = anno_config.get('OUTPUT_KEYS', [])
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if isinstance(annotator.output_keys, str):
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annotator.output_keys = [annotator.output_keys]
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assert len(annotator.input_keys) == len(annotator.output_keys)
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self.annotators.append(annotator)
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def forward(self, input_dict):
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output_dict = {}
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for annotator in self.annotators:
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for idx, in_key in enumerate(annotator.input_keys):
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if in_key in input_dict:
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image = annotator(input_dict[in_key])
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output_dict[annotator.output_keys[idx]] = image
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return output_dict
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