Update app.py

app.py

@@ -63,11 +63,6 @@ def inference(video, lang, time_step):
     # Match bboxes to position and store the text read by OCR
     while success:
         if count % (int(frame_rate * time_step)) == 0:
-            if count % (int(frame_rate * time_step) * 30) == 0:
-                # update the largest boxes every 30 frames
-                bounds = reader.readtext(frame)
-                largest_boxes = sorted(bounds, key=lambda x: box_size(x), reverse=True)
-                positions = [box_position(b) for b in largest_boxes]
             for i, box in enumerate(largest_boxes):
                 bbox_pos = box_position(box)
                 if np.linalg.norm(np.array(bbox_pos) - np.array(positions[i])) < 50: