visualization

main.py

@@ -13,13 +13,19 @@ print("[INFO]: Downloaded models!")
 def poses(photo):
     result_generator = inferencer(photo, 
                                   vis_out_dir =".",
-                                  return_vis=True)
+                                  return_vis=True,
+                                  thickness=2)
+    
     print("[INFO]: Visualizing results!")
 
     # The MMPoseInferencer API employs a lazy inference approach,
     # creating a prediction generator when given input
     result = next(result_generator)
-    print(type(result['visualization']))
+    
+    print("[INFO]: Type of vis is ", type(result['visualization']))
+
+    print("[INFO]: Vis is ", type(result['visualization']))
+
     return "000000.jpg"
 
 # # specify detection model by alias