Loading imgutils/detect/person.py +12 −26 Original line number Diff line number Diff line Loading @@ -14,30 +14,15 @@ Overview: :align: center """ from functools import lru_cache from typing import Optional from huggingface_hub import hf_hub_download from ..data import ImageTyping from ..generic import yolo_predict from ._yolo import _image_preprocess, _data_postprocess from ..data import ImageTyping, load_image, rgb_encode from ..utils import open_onnx_model _REPO_ID = 'deepghs/anime_person_detection' _VERSIONS = { 'v0': '', 'v1': 'plus_', 'v1.1': 'plus_v1.1_', } @lru_cache() def _open_person_detect_model(level: str, version: str): return open_onnx_model(hf_hub_download( 'deepghs/imgutils-models', f'person_detect/person_detect_{_VERSIONS[version]}best_{level}.onnx' )) def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', max_infer_size=640, def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', model_name: Optional[str] = None, conf_threshold: float = 0.3, iou_threshold: float = 0.5): """ Overview: Loading Loading @@ -81,9 +66,10 @@ def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', m the versions and models included. """ image = load_image(image, mode='RGB') new_image, old_size, new_size = _image_preprocess(image, max_infer_size) data = rgb_encode(new_image)[None, ...] output, = _open_person_detect_model(level, version).run(['output0'], {'images': data}) return _data_postprocess(output[0], conf_threshold, iou_threshold, old_size, new_size, ['person']) return yolo_predict( image=image, repo_id=_REPO_ID, model_name=model_name or f'person_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, ) test/detect/test_person.py +3 −2 Original line number Diff line number Diff line import pytest from imgutils.detect.person import _open_person_detect_model, detect_person from imgutils.detect.person import detect_person from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile Loading @@ -9,7 +10,7 @@ def _release_model_after_run(): try: yield finally: _open_person_detect_model.cache_clear() _open_models_for_repo_id.cache_clear() @pytest.mark.unittest Loading Loading
imgutils/detect/person.py +12 −26 Original line number Diff line number Diff line Loading @@ -14,30 +14,15 @@ Overview: :align: center """ from functools import lru_cache from typing import Optional from huggingface_hub import hf_hub_download from ..data import ImageTyping from ..generic import yolo_predict from ._yolo import _image_preprocess, _data_postprocess from ..data import ImageTyping, load_image, rgb_encode from ..utils import open_onnx_model _REPO_ID = 'deepghs/anime_person_detection' _VERSIONS = { 'v0': '', 'v1': 'plus_', 'v1.1': 'plus_v1.1_', } @lru_cache() def _open_person_detect_model(level: str, version: str): return open_onnx_model(hf_hub_download( 'deepghs/imgutils-models', f'person_detect/person_detect_{_VERSIONS[version]}best_{level}.onnx' )) def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', max_infer_size=640, def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', model_name: Optional[str] = None, conf_threshold: float = 0.3, iou_threshold: float = 0.5): """ Overview: Loading Loading @@ -81,9 +66,10 @@ def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', m the versions and models included. """ image = load_image(image, mode='RGB') new_image, old_size, new_size = _image_preprocess(image, max_infer_size) data = rgb_encode(new_image)[None, ...] output, = _open_person_detect_model(level, version).run(['output0'], {'images': data}) return _data_postprocess(output[0], conf_threshold, iou_threshold, old_size, new_size, ['person']) return yolo_predict( image=image, repo_id=_REPO_ID, model_name=model_name or f'person_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, )
test/detect/test_person.py +3 −2 Original line number Diff line number Diff line import pytest from imgutils.detect.person import _open_person_detect_model, detect_person from imgutils.detect.person import detect_person from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile Loading @@ -9,7 +10,7 @@ def _release_model_after_run(): try: yield finally: _open_person_detect_model.cache_clear() _open_models_for_repo_id.cache_clear() @pytest.mark.unittest Loading