107 lines
3.6 KiB
Markdown
107 lines
3.6 KiB
Markdown
---
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layout: default
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title: Visualizer
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parent: Tools
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nav_order: 1
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---
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# Visualizer
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{: .no_toc }
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1. TOC
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{:toc}
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---
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To help users understand the structure of their calculator graphs and to
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understand the overall behavior of their machine learning inference pipelines,
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we have built the [MediaPipe Visualizer](https://viz.mediapipe.dev/)
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that is available online.
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* A graph view allows users to see a connected calculator graph as expressed
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through a graph configuration that is pasted into the graph editor or
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uploaded. The user can visualize and troubleshoot a graph they have created.
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## Working within the Editor
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Getting Started:
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The graph can be modified by adding and editing code in the Editor view.
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* Pressing the "New" button in the upper right corner will clear any existing
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code in the Editor window.
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* Pressing the "Upload" button will prompt the user to select a local PBTXT
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file, which will everwrite the current code within the editor.
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* Alternatively, code can be pasted directly into the editor window.
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* Errors and informational messages will appear in the Feedback window.
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## Understanding the Graph
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The visualizer graph shows the connections between calculator nodes.
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* Streams exit from the bottom of the calculator producing the stream and
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enter the top of any calculator receiving the stream. (Notice the use of the
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key, "input_stream" and "output_stream").
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* Sidepackets work the same, except that they exit a node on the right and
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enter on the left. (Notice the use of the key, "input_side_packet" and
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"output_side_packet").
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* There are special nodes that represent inputs and outputs to the graph and
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can supply either side packets or streams.
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## Visualizing Subgraphs
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The MediaPipe visualizer can display multiple graphs in separate tabs. If a
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graph has a `type` field in the top level of the graph's text proto definition,
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and that value of graph `type` is used as a calculator name in another graph, it
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is considered a subgraph by the visualizer and colored appropriately where it is
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used. Clicking on a subgraph will navigate to the corresponding tab which holds
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the subgraph's definition.
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For instance, there are two graphs involved in
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[MediaPipe Hands](../solutions/hands.md): the main graph
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([source pbtxt file](https://github.com/google/mediapipe/blob/master/mediapipe/graphs/hand_tracking/hand_detection_mobile.pbtxt))
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and its associated subgraph
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([source pbtxt file](https://github.com/google/mediapipe/blob/master/mediapipe/graphs/hand_tracking/subgraphs/hand_detection_gpu.pbtxt)).
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To visualize them:
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* In the MediaPipe visualizer, click on the upload graph button and select the
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2 pbtxt files to visualize (main graph and its associated subgraph).
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* There will be 2 additional tabs. The main graph tab is
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`hand_detection_mobile.pbtxt`.
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* Clicking on the `HandDetection` node in purple redirects the view to the
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`hand_detection_gpu.pbtxt` tab.
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