Make detected classes appear only once

model.py

@@ -16,6 +16,7 @@ class yolox():
         self.confThreshold = confThreshold
         self.nmsThreshold = nmsThreshold
         self.objThreshold = objThreshold
+
     def preprocess(self, image):
         if len(image.shape) == 3:
             padded_img = np.ones((self.input_size[0], self.input_size[1], 3)) * 114.0
@@ -149,5 +150,5 @@ class yolox():
         if dets is not None:
             final_boxes, final_scores, final_cls_inds = dets[:, :4], dets[:, 4], dets[:, 5]
             srcimg, detected_classes = self.vis(srcimg, final_boxes, final_scores, final_cls_inds)
-        return srcimg, ", ".join(detected_classes) if len(detected_classes) > 0 else ""
+        return srcimg, ", ".join(list(set(detected_classes))) if len(detected_classes) > 0 else ""