visualization

main.py

@@ -16,6 +16,7 @@ def poses(photo):
                                   return_vis=True,
                                   thickness=2)
     
+    print(os.listdir())
     print("[INFO]: Visualizing results!")
     print(os.listdir())
     #print("[INFO]: Type of vis is ", type(result_generator['visualization']))
@@ -24,7 +25,8 @@ def poses(photo):
     # The MMPoseInferencer API employs a lazy inference approach,
     # creating a prediction generator when given input
     #result = next(result_generator)
-    return "000000.mp4"
+    return photo
+
 
 # # specify detection model by alias
 # # the available aliases include 'human', 'hand', 'face', 'animal',