filter_tiny_segments add example

README.md

@@ -26,6 +26,13 @@ towhee.dc['pred']([[[0, 0, 100, 100], [0, 0, 10, 10], [0, 0, 60, 10]]]) \
 ![](result.png)
 
 
+```python
+import towhee
+towhee.dc['pred', 'sim_hw']([[[[0, 0, 10, 10]], [11, 11]]]) \
+      .video_copy_detection.filter_tiny_segments[('pred', 'sim_hw'), 'filtered_pred'](filter_s_thresh=20) \
+      .show()
+```
+![](result2.png)
 
 ## Factory Constructor
 
@@ -50,8 +57,6 @@ Create the operator via the following factory method
 
 ## Interface
 
-A Temporal Network operator takes two numpy.ndarray(shape(N,D) N: number of features. D: dimension of features) and get the duplicated ranges and scores.
-
 
 **Parameters:**