update the readme.

Signed-off-by: wxywb <xy.wang@zilliz.com>

README.md

@@ -17,9 +17,16 @@ This operator can compare two ordered sequences, then detect the range which fea
 
 
 ```python
-placeholder
+# simulate a video feature by 10 frames of 512d vectors.  
+videos_embeddings = np.random.randn(10,512)
+videos_embeddings = videos_embeddings / np.linalg.norm(videos_embeddings,axis=1).reshape(10,-1)
+
+towhee.dc['src','dest']([[videos_embeddings,videos_embeddings]]) \
+      .video_copy_detection.temporal_network[('src','dest'), ('range', 'range_score')]() \
+      .show()
 ```
 
+<img src="./tabular.png" alt="result" style="height:60px;"/>
 
 <br />
 
@@ -70,7 +77,7 @@ A Temporal Network operator takes two numpy.ndarray(shape(N,D) N: number of feat
 
 **Parameters:**
 
-​	***src_video_vec data:*** *numpy.ndarray*
+​	***src_video_vec*** *numpy.ndarray*
 
 ​  Source video feature vectors.
 
@@ -79,10 +86,13 @@ A Temporal Network operator takes two numpy.ndarray(shape(N,D) N: number of feat
 ​  Destination video feature vectors.
 
 
-**Returns:** *List[List[Int]], List[float] *
+**Returns:**
 
-​   The returned aligned range and similarity score.
+​	***aligned_ranges:*** *List[List[Int]]*
 
+​   The returned aligned range.
 
+​	***aligned_scores:*** *List[float]*
 
+​   The returned similarity scores(length same as aligned_ranges).