Upload anime_object_detection/detection/halfbody.py with huggingface_hub
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anime_object_detection/detection/halfbody.py
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import re
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from typing import List, Tuple
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from imgutils.data import ImageTyping
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from imgutils.detect.halfbody import detect_halfbody
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from .base import DeepGHSObjectDetection
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def _parse_model_name(model_name: str):
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matching = re.fullmatch(r'^halfbody_detect_(?P<version>[\s\S]+?)_(?P<level>[\s\S]+?)$', model_name)
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return matching.group('version'), matching.group('level')
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class HalfBodyDetection(DeepGHSObjectDetection):
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def __init__(self):
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DeepGHSObjectDetection.__init__(self, repo_id='deepghs/anime_halfbody_detection')
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def _get_default_model(self) -> str:
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return 'halfbody_detect_v1.0_s'
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def _get_default_iou_and_score(self, model_name: str) -> Tuple[float, float]:
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return 0.7, 0.5
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def _get_labels(self, model_name: str) -> List[str]:
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return ['halfbody']
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def detect(self, image: ImageTyping, model_name: str,
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iou_threshold: float = 0.7, score_threshold: float = 0.25) \
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-> List[Tuple[Tuple[float, float, float, float], str, float]]:
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version, level = _parse_model_name(model_name)
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return detect_halfbody(image, level=level, version=version,
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conf_threshold=score_threshold, iou_threshold=iou_threshold)
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