| import re |
| from typing import List, Tuple |
|
|
| from imgutils.data import ImageTyping |
| from imgutils.detect.eye import detect_eyes |
|
|
| from .base import DeepGHSObjectDetection |
|
|
|
|
| def _parse_model_name(model_name: str): |
| matching = re.fullmatch(r'^eye_detect_(?P<version>[\s\S]+?)_(?P<level>[\s\S]+?)$', model_name) |
| return matching.group('version'), matching.group('level') |
|
|
|
|
| class EyesDetection(DeepGHSObjectDetection): |
| def __init__(self): |
| DeepGHSObjectDetection.__init__(self, repo_id='deepghs/anime_eye_detection') |
|
|
| def _get_default_model(self) -> str: |
| return 'eye_detect_v1.0_s' |
|
|
| def _get_default_iou_and_score(self, model_name: str) -> Tuple[float, float]: |
| return 0.3, 0.3 |
|
|
| def _get_labels(self, model_name: str) -> List[str]: |
| return ['eye'] |
|
|
| 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_eyes(image, level=level, version=version, |
| conf_threshold=score_threshold, iou_threshold=iou_threshold) |
|
|