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