changes

scripts/welspun_classifier.py

@@ -189,7 +189,7 @@ class Welspun_Classifier(ModelWrapper):
         return exp_vec / np.sum(exp_vec)
 
     def process_frame(self, frame):
-        if self.k % 25 == 0:
+        if self.k % 10 == 0:
             self.k = self.k + 1
             starttime = time.time()
             vino_frame = frame.copy()