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from typing import Dict, Any, List, Tuple
from PIL import Image
from mmengine import DATASETS, TRANSFORMS, METRICS, FUNCTIONS, Registry
from ..conversation import Conversation
IMAGE_PLACEHOLDER = '<image>'
BOXES_PLACEHOLDER = '<boxes>'
EXPR_PLACEHOLDER = '<expr>'
OBJS_PLACEHOLDER = '<objs>'
QUESTION_PLACEHOLDER = '<question>'
POINTS_PLACEHOLDER = '<points>'
# processor
BOXES_PROCESSOR = Registry('Processor for Boxes')
# only for static type checking
class BaseConvProcessFunc:
def __call__(
self,
raw_conv: List[Dict[str, Any]],
preprocessor: Dict[str, Any],
conv_template: Conversation,
) -> List[Dict[str, Any]]:
raise NotImplementedError
class BaseTargetProcessFunc:
def __call__(
self,
raw_conv: List[Dict[str, Any]],
target: Dict[str, Any],
preprocessor: Dict[str, Any],
) -> Tuple[List[Dict[str, Any]], Dict[str, Any]]:
raise NotImplementedError
class BaseTextProcessFunc:
def __call__(
self,
conv: Conversation,
preprocessor: Dict[str, Any],
mode: str,
**tokenize_kwargs,
) -> Dict[str, Any]:
raise NotImplementedError
class BaseImageProcessFunc:
def __call__(
self,
image: Image.Image,
preprocessor: Dict[str, Any],
) -> Dict[str, Any]:
raise NotImplementedError
__all__ = [
'IMAGE_PLACEHOLDER', 'BOXES_PLACEHOLDER', 'EXPR_PLACEHOLDER', 'OBJS_PLACEHOLDER', 'QUESTION_PLACEHOLDER', 'POINTS_PLACEHOLDER',
'FUNCTIONS',
'DATASETS',
'TRANSFORMS',
'METRICS',
'BOXES_PROCESSOR',
'BaseConvProcessFunc', 'BaseTargetProcessFunc', 'BaseTextProcessFunc', 'BaseImageProcessFunc',
]
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