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import re
from typing import List, Tuple
from imgutils.data import ImageTyping
from imgutils.detect.hand import detect_hands
from .base import DeepGHSObjectDetection
def _parse_model_name(model_name: str):
matching = re.fullmatch(r'^hand_detect_(?P<version>[\s\S]+?)_(?P<level>[\s\S]+?)$', model_name)
return matching.group('version'), matching.group('level')
class HandDetection(DeepGHSObjectDetection):
def __init__(self):
DeepGHSObjectDetection.__init__(self, repo_id='deepghs/anime_hand_detection')
def _get_default_model(self) -> str:
return 'hand_detect_v1.0_s'
def _get_default_iou_and_score(self, model_name: str) -> Tuple[float, float]:
return 0.7, 0.35
def _get_labels(self, model_name: str) -> List[str]:
return ['hand']
def detect(self, image: ImageTyping, model_name: str,
iou_threshold: float = 0.7, score_threshold: float = 0.25) \
-> List[Tuple[Tuple[float, float, float, float], str, float]]:
version, level = _parse_model_name(model_name)
return detect_hands(image, level=level, version=version,
conf_threshold=score_threshold, iou_threshold=iou_threshold)
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