visualization

main.py

@@ -11,7 +11,6 @@ print("[INFO]: Downloaded models!")
 
 
 def poses(photo):
-    print(photo)
     result_generator = inferencer(photo, 
                                   vis_out_dir =".",
                                   return_vis=True)
@@ -20,9 +19,8 @@ def poses(photo):
     # The MMPoseInferencer API employs a lazy inference approach,
     # creating a prediction generator when given input
     result = next(result_generator)
-    print(os.listdir())
-    print(type(result["visualization"]))
-    return result["visualization"]
+    
+    return "000000.jpg"
 
 # # specify detection model by alias
 # # the available aliases include 'human', 'hand', 'face', 'animal',