From c6fea4c9d9f3bdf081c10387d2b42ed854199d06 Mon Sep 17 00:00:00 2001
From: MediaPipe Team <mediapipe-team@google.com>
Date: Fri, 25 Oct 2019 14:47:47 -0700
Subject: [PATCH] Project import generated by Copybara.

GitOrigin-RevId: 1a0caa03bbf3673dbe772c8045b687c6b6821bcc
---
 .../examples/desktop/youtube8m/README.md      | 80 +++++++++----------
 1 file changed, 40 insertions(+), 40 deletions(-)

diff --git a/mediapipe/examples/desktop/youtube8m/README.md b/mediapipe/examples/desktop/youtube8m/README.md
index 8ad5bf48..a5baaed6 100644
--- a/mediapipe/examples/desktop/youtube8m/README.md
+++ b/mediapipe/examples/desktop/youtube8m/README.md
@@ -59,62 +59,62 @@
 
 1.  Download the YT8M dataset
 
-  For example, download one shard of the training data:
+    For example, download one shard of the training data:
 
-  ```bash
-  curl http://us.data.yt8m.org/2/frame/train/trainpj.tfrecord --output /tmp/mediapipe/trainpj.tfrecord
-  ```
+    ```bash
+    curl http://us.data.yt8m.org/2/frame/train/trainpj.tfrecord --output /tmp/mediapipe/trainpj.tfrecord
+    ```
 
 2.  Copy the baseline model [(model card)](https://drive.google.com/file/d/1xTCi9-Nm9dt2KIk8WR0dDFrIssWawyXy/view) to local.
 
-  ```bash
-  curl -o /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz data.yt8m.org/models/baseline/saved_model.tar.gz
+    ```bash
+    curl -o /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz data.yt8m.org/models/baseline/saved_model.tar.gz
 
-  tar -xvf /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz -C /tmp/mediapipe
-  ```
+    tar -xvf /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz -C /tmp/mediapipe
+    ```
 
 3.  Build and run the inference binary.
 
-  ```bash
-  bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' \
+    ```bash
+    bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' \
     mediapipe/examples/desktop/youtube8m:model_inference
 
-  GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/youtube8m/model_inference \
-    --calculator_graph_config_file=mediapipe/graphs/youtube8m/yt8m_dataset_model_inference.pbtxt \
-    --input_side_packets=tfrecord_path=/tmp/mediapipe/trainpj.tfrecord,record_index=0,desired_segment_size=5 \
-    --output_stream=annotation_summary \
-    --output_stream_file=/tmp/summary \
-    --output_side_packets=yt8m_id \
-    --output_side_packets_file=/tmp/yt8m_id
-  ```
+    GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/youtube8m/model_inference \
+      --calculator_graph_config_file=mediapipe/graphs/youtube8m/yt8m_dataset_model_inference.pbtxt \
+      --input_side_packets=tfrecord_path=/tmp/mediapipe/trainpj.tfrecord,record_index=0,desired_segment_size=5 \
+      --output_stream=annotation_summary \
+      --output_stream_file=/tmp/summary \
+      --output_side_packets=yt8m_id \
+      --output_side_packets_file=/tmp/yt8m_id
+    ```
 
 ### Steps to run the YouTube-8M model inference graph with Web Interface
 
 1.  Copy the baseline model [(model card)](https://drive.google.com/file/d/1xTCi9-Nm9dt2KIk8WR0dDFrIssWawyXy/view) to local.
 
 
-  ```bash
-  curl -o /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz data.yt8m.org/models/baseline/saved_model.tar.gz
+    ```bash
+    curl -o /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz data.yt8m.org/models/baseline/saved_model.tar.gz
 
-  tar -xvf /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz -C /tmp/mediapipe
-  ```
+    tar -xvf /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz -C /tmp/mediapipe
+    ```
 
 2.  Build the inference binary.
 
-  ```bash
-  bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' \
-    mediapipe/examples/desktop/youtube8m:model_inference
-  ```
+    ```bash
+    bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' \
+      mediapipe/examples/desktop/youtube8m:model_inference
+    ```
 
 3.  Run the python web server.
 
-  Note: pip install absl-py
+    Note: pip install absl-py
 
-  ```bash
-  python mediapipe/examples/desktop/youtube8m/viewer/server.py --root `pwd`
-  ```
+    ```bash
+    python mediapipe/examples/desktop/youtube8m/viewer/server.py --root `pwd`
+    ```
 
-  Navigate to localhost:8008 in a web browser.
+    Navigate to localhost:8008 in a web browser.
 
 ### Steps to run the YouTube-8M model inference graph with a local video
 
@@ -130,15 +130,15 @@
 
 3.  Build and run the inference binary.
 
-  ```bash
-  bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' \
-    mediapipe/examples/desktop/youtube8m:model_inference
+    ```bash
+    bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' \
+      mediapipe/examples/desktop/youtube8m:model_inference
 
-  # segment_size is the number of seconds window of frames.
-  # overlap is the number of seconds adjacent segments share.
-  GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/youtube8m/model_inference \
-    --calculator_graph_config_file=mediapipe/graphs/youtube8m/local_video_model_inference.pbtxt \
-    --input_side_packets=input_sequence_example_path=/tmp/mediapipe/output.tfrecord,input_video_path=/absolute/path/to/the/local/video/file,output_video_path=/tmp/mediapipe/annotated_video.mp4,segment_size=5,overlap=4
-  ```
+    # segment_size is the number of seconds window of frames.
+    # overlap is the number of seconds adjacent segments share.
+    GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/youtube8m/model_inference \
+      --calculator_graph_config_file=mediapipe/graphs/youtube8m/local_video_model_inference.pbtxt \
+      --input_side_packets=input_sequence_example_path=/tmp/mediapipe/output.tfrecord,input_video_path=/absolute/path/to/the/local/video/file,output_video_path=/tmp/mediapipe/annotated_video.mp4,segment_size=5,overlap=4
+    ```
 
 4.  View the annotated video.