[to #42322933] unify keys forbody_3d_keypoints

统一关键点检测输出key的名字
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10359335

modelscope/outputs.py

@@ -222,7 +222,7 @@ TASK_OUTPUTS = {
 
     # 3D human body keypoints detection result for single sample
     # {
-    #   "poses": [		    # 3d pose coordinate in camera coordinate
+    #   "keypoints": [		    # 3d pose coordinate in camera coordinate
     #     	[[x, y, z]*17],	# joints of per image
     #     	[[x, y, z]*17],
     #     	...
@@ -236,7 +236,7 @@ TASK_OUTPUTS = {
     # and is only avaialbe when the "render" option is enabled.
     # }
     Tasks.body_3d_keypoints:
-    [OutputKeys.POSES, OutputKeys.TIMESTAMPS, OutputKeys.OUTPUT_VIDEO],
+    [OutputKeys.KEYPOINTS, OutputKeys.TIMESTAMPS, OutputKeys.OUTPUT_VIDEO],
 
     # 2D hand keypoints result for single sample
     # {

modelscope/pipelines/cv/body_3d_keypoints_pipeline.py

@@ -180,7 +180,7 @@ class Body3DKeypointsPipeline(Pipeline):
         return res
 
     def postprocess(self, input: Dict[str, Any], **kwargs) -> Dict[str, Any]:
-        res = {OutputKeys.POSES: [], OutputKeys.TIMESTAMPS: []}
+        res = {OutputKeys.KEYPOINTS: [], OutputKeys.TIMESTAMPS: []}
 
         if not input['success']:
             pass
@@ -197,7 +197,7 @@ class Body3DKeypointsPipeline(Pipeline):
                 self.render_prediction(pred_3d_pose, output_video_path)
                 res[OutputKeys.OUTPUT_VIDEO] = output_video_path
 
-            res[OutputKeys.POSES] = pred_3d_pose
+            res[OutputKeys.KEYPOINTS] = pred_3d_pose
             res[OutputKeys.TIMESTAMPS] = self.timestamps
         return res
 

tests/pipelines/test_body_3d_keypoints.py

@@ -21,7 +21,7 @@ class Body3DKeypointsTest(unittest.TestCase, DemoCompatibilityCheck):
 
     def pipeline_inference(self, pipeline: Pipeline, pipeline_input):
         output = pipeline(pipeline_input, output_video='./result.mp4')
-        poses = np.array(output[OutputKeys.POSES])
+        poses = np.array(output[OutputKeys.KEYPOINTS])
         print(f'result 3d points shape {poses.shape}')
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')