Project import generated by Copybara.

PiperOrigin-RevId: 254198377

mediapipe/docs/framework_concepts.md

@@ -117,7 +117,7 @@ combination of tag name and index number. You can see some examples of input and
 output identifiers in the example below. `SomeAudioVideoCalculator` identifies
 its video output by tag and its audio outputs by the combination of tag and
 index. The input with tag `VIDEO` is connected to the stream named
-`video_stream`. The inputs with tag `AUDIO` and indices `0` and `1` are
+`video_stream`. The outputs with tag `AUDIO` and indices `0` and `1` are
 connected to the streams named `audio_left` and `audio_right`.
 `SomeAudioCalculator` identifies its audio inputs by index only (no tag needed).
 

mediapipe/docs/media_sequence.md

@@ -20,7 +20,7 @@ process new data sets, in the [documentation](https://github.com/google/mediapip
 1.  Checkout mediapipe repository
 
     ```bash
-    git clone https://github.com/google/mediapipe/mediapipe
+    git clone https://github.com/google/mediapipe.git
     cd mediapipe
     ```
 
@@ -115,7 +115,7 @@ python -m mediapipe.examples.desktop.media_sequence.demo_dataset \
 
 ### Preparing your own data set
 The process for preparing your own data set is described in the [MediaSequence
-documentation](https://github.com/google/mediapipe/tree/master/mediapipe/util/sequence/README.md).
+documentation](https://github.com/google/mediapipe/blob/master/mediapipe/util/sequence/README.md).
 The Python code for Charades can easily be modified to process most annotations,
 but the MediaPipe processing warrants further discussion. MediaSequence uses
 MediaPipe graphs to extract features related to the metadata or previously