[to #42322933]add lazy import

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10012143

modelscope/models/cv/face_detection/__init__.py

@@ -0,0 +1,22 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from typing import TYPE_CHECKING
+
+from modelscope.utils.import_utils import LazyImportModule
+
+if TYPE_CHECKING:
+    from .retinaface import RetinaFaceDetection
+
+else:
+    _import_structure = {
+        'retinaface': ['RetinaFaceDetection'],
+    }
+
+    import sys
+
+    sys.modules[__name__] = LazyImportModule(
+        __name__,
+        globals()['__file__'],
+        _import_structure,
+        module_spec=__spec__,
+        extra_objects={},
+    )

modelscope/models/cv/face_detection/retinaface/__init__.py

@@ -0,0 +1 @@
+from .detection import RetinaFaceDetection

modelscope/pipelines/cv/__init__.py

@@ -47,6 +47,7 @@ if TYPE_CHECKING:
     from .easycv_pipelines import EasyCVDetectionPipeline, EasyCVSegmentationPipeline, Face2DKeypointsPipeline
     from .text_driven_segmentation_pipleline import TextDrivenSegmentationPipleline
     from .movie_scene_segmentation_pipeline import MovieSceneSegmentationPipeline
+    from .retina_face_detection_pipeline import RetinaFaceDetectionPipeline
     from .facial_expression_recognition_pipeline import FacialExpressionRecognitionPipeline
 
 else:
@@ -107,6 +108,7 @@ else:
         ['TextDrivenSegmentationPipeline'],
         'movie_scene_segmentation_pipeline':
         ['MovieSceneSegmentationPipeline'],
+        'retina_face_detection_pipeline': ['RetinaFaceDetectionPipeline'],
         'facial_expression_recognition_pipelin':
         ['FacialExpressionRecognitionPipeline']
     }

modelscope/pipelines/cv/retina_face_detection_pipeline.py

@@ -1,10 +1,13 @@
 import os.path as osp
 from typing import Any, Dict
 
+import cv2
 import numpy as np
+import PIL
+import torch
 
 from modelscope.metainfo import Pipelines
-from modelscope.models.cv.face_detection.retinaface import detection
+from modelscope.models.cv.face_detection import RetinaFaceDetection
 from modelscope.outputs import OutputKeys
 from modelscope.pipelines.base import Input, Pipeline
 from modelscope.pipelines.builder import PIPELINES
@@ -28,7 +31,7 @@ class RetinaFaceDetectionPipeline(Pipeline):
         super().__init__(model=model, **kwargs)
         ckpt_path = osp.join(model, ModelFile.TORCH_MODEL_FILE)
         logger.info(f'loading model from {ckpt_path}')
-        detector = detection.RetinaFaceDetection(
+        detector = RetinaFaceDetection(
             model_path=ckpt_path, device=self.device)
         self.detector = detector
         logger.info('load model done')