test

app.py

@@ -160,10 +160,11 @@ def predict_dlc(list_np_crops,
         # scale crop here?
         keypts_xyp = dlc_live.get_pose(crop) # third column is llk!
         # set kpts below threhsold to nan
+        print(keypts_xyp)
         keypts_xyp[keypts_xyp[:,-1] < kpts_likelihood_th,:] = np_aux.fill(np.nan)
         # add kpts of this crop to list 
         list_kpts_per_crop.append(keypts_xyp)
-
+    #return confidence here
     return list_kpts_per_crop