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layout: default
title: Visualizer
parent: Tools
nav_order: 1
---

# Visualizer
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1. TOC
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To help users understand the structure of their calculator graphs and to
understand the overall behavior of their machine learning inference pipelines,
we have built the [MediaPipe Visualizer](https://viz.mediapipe.dev/)
that is available online.

*   A graph view allows users to see a connected calculator graph as expressed
    through a graph configuration that is pasted into the graph editor or
    uploaded. The user can visualize and troubleshoot a graph they have created.

    ![Startup screen](../images/startup_screen.png)

## Working within the Editor

Getting Started:

The graph can be modified by adding and editing code in the Editor view.

![Editor UI](../images/editor_view.png)

*   Pressing the "New" button in the upper right corner will clear any existing
    code in the Editor window.

    ![New Button](../images/upload_button.png)

*   Pressing the "Upload" button will prompt the user to select a local PBTXT
    file, which will everwrite the current code within the editor.

*   Alternatively, code can be pasted directly into the editor window.

*   Errors and informational messages will appear in the Feedback window.

    ![Error Msg](../images/console_error.png)

## Understanding the Graph

The visualizer graph shows the connections between calculator nodes.

*   Streams exit from the bottom of the calculator producing the stream and
    enter the top of any calculator receiving the stream. (Notice the use of the
    key, "input_stream" and "output_stream").

    ![Stream UI](../images/stream_ui.png)

    ![Stream_code](../images/stream_code.png)

*   Sidepackets work the same, except that they exit a node on the right and
    enter on the left. (Notice the use of the key, "input_side_packet" and
    "output_side_packet").

    ![Sidepacket UI](../images/side_packet.png)

    ![Sidepacket_code](../images/side_packet_code.png)

*   There are special nodes that represent inputs and outputs to the graph and
    can supply either side packets or streams.

    ![Special nodes](../images/special_nodes.png)

    ![Special nodes](../images/special_nodes_code.png)

## Visualizing Subgraphs

The MediaPipe visualizer can display multiple graphs in separate tabs. If a
graph has a `type` field in the top level of the graph's text proto definition,
and that value of graph `type` is used as a calculator name in another graph, it
is considered a subgraph by the visualizer and colored appropriately where it is
used. Clicking on a subgraph will navigate to the corresponding tab which holds
the subgraph's definition.

For instance, there are two graphs involved in
[MediaPipe Hand](../solutions/hand.md): the main graph
([source pbtxt file](https://github.com/google/mediapipe/blob/master/mediapipe/graphs/hand_tracking/hand_detection_mobile.pbtxt))
and its associated subgraph
([source pbtxt file](https://github.com/google/mediapipe/blob/master/mediapipe/graphs/hand_tracking/subgraphs/hand_detection_gpu.pbtxt)).
To visualize them:

*   In the MediaPipe visualizer, click on the upload graph button and select the
    2 pbtxt files to visualize (main graph and its associated subgraph).

    ![Upload graph button](../images/upload_button.png)

    ![Choose the 2 files](../images/upload_2pbtxt.png)

*   There will be 2 additional tabs. The main graph tab is
    `hand_detection_mobile.pbtxt`.

    ![hand_detection_mobile_gpu.pbtxt](../images/maingraph_visualizer.png)

*   Clicking on the `HandDetection` node in purple redirects the view to the
    `hand_detection_gpu.pbtxt` tab.

    ![Hand detection subgraph](../images/click_subgraph_handdetection.png)