fix broken image link (#6881)

* fix broken image link

fix broken image link

* fix broken image url

Author: jenhaoyang

docs/en/tutorials/data_pipeline.md

@@ -15,7 +15,7 @@ defines how to process the annotations and a data pipeline defines all the steps
 A pipeline consists of a sequence of operations. Each operation takes a dict as input and also output a dict for the next transform.
 
 We present a classical pipeline in the following figure. The blue blocks are pipeline operations. With the pipeline going on, each operator can add new keys (marked as green) to the result dict or update the existing keys (marked as orange).
-![pipeline figure](../../resources/data_pipeline.png)
+![pipeline figure](../../../resources/data_pipeline.png)
 
 The operations are categorized into data loading, pre-processing, formatting and test-time augmentation.
 

docs/zh_cn/tutorials/data_pipeline.md

@@ -8,7 +8,7 @@
 
 我们在下图展示了一个经典的数据处理流程。蓝色块是数据处理操作，随着数据流程的处理，每个操作都可以在结果字典中加入新的键（标记为绿色）或更新现有的键（标记为橙色）。
 
-![pipeline figure](../../resources/data_pipeline.png)
+![pipeline figure](../../../resources/data_pipeline.png)
 
 这些操作可以分为数据加载（data loading）、预处理（pre-processing）、格式变化（formatting）和测试时数据增强（test-time augmentation）。