[to #42322933] bugfix：move input human_deteciton pipeline into body_2d_detection init

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9653099

modelscope/pipelines/cv/body_2d_keypoints_pipeline.py

@@ -27,11 +27,14 @@ logger = get_logger()
     Tasks.body_2d_keypoints, module_name=Pipelines.body_2d_keypoints)
 class Body2DKeypointsPipeline(Pipeline):
 
-    def __init__(self, model: str, human_detector: Pipeline, **kwargs):
+    def __init__(self, model: str, **kwargs):
         super().__init__(model=model, **kwargs)
         self.keypoint_model = KeypointsDetection(model)
         self.keypoint_model.eval()
-        self.human_detector = human_detector
+
+        self.human_detect_model_id = 'damo/cv_resnet18_human-detection'
+        self.human_detector = pipeline(
+            Tasks.human_detection, model=self.human_detect_model_id)
 
     def preprocess(self, input: Input) -> Dict[Tensor, Union[str, np.ndarray]]:
         output = self.human_detector(input)

tests/pipelines/test_body_2d_keypoints.py

@@ -71,7 +71,6 @@ class Body2DKeypointsTest(unittest.TestCase):
     def setUp(self) -> None:
         self.model_id = 'damo/cv_hrnetv2w32_body-2d-keypoints_image'
         self.test_image = 'data/test/images/keypoints_detect/000000438862.jpg'
-        self.human_detect_model_id = 'damo/cv_resnet18_human-detection'
 
     def pipeline_inference(self, pipeline: Pipeline):
         output = pipeline(self.test_image)
@@ -87,12 +86,8 @@ class Body2DKeypointsTest(unittest.TestCase):
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run_modelhub(self):
-        human_detector = pipeline(
-            Tasks.human_detection, model=self.human_detect_model_id)
         body_2d_keypoints = pipeline(
-            Tasks.body_2d_keypoints,
-            human_detector=human_detector,
-            model=self.model_id)
+            Tasks.body_2d_keypoints, model=self.model_id)
         self.pipeline_inference(body_2d_keypoints)