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# Waymo Open Dataset Viewer | ||
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A WebGL viewer for pointclouds of the [waymo open dataset](https://waymo.com/open). | ||
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![Screenshot](./screenshot.png) | ||
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### Prerequisities | ||
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- Download the Dataset. | ||
Before using the viewer, you first have to download (parts of) the dataset from the [official download page](https://waymo.com/open/licensing/). Create a directory containing the segments (.tfrecord files) you want to view. | ||
- Install tensorflow (2.0.0). | ||
Consider using tensorflow-gpu since it will speed up reading the segments. | ||
- Install server dependencies: | ||
`pip install -r requirements.txt` | ||
- Install frontend dependecies: | ||
`yarn install` | ||
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### Usage | ||
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Start the websocket that processes and serves the segment files in a given directory: | ||
``` | ||
python websocket.py --segments-dir path/to/segments | ||
``` | ||
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Build the frontend. | ||
``` | ||
yarn build | ||
``` | ||
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Now, you can open the `index.html` file in the browser or call | ||
``` | ||
yarn serve | ||
``` | ||
to start a small python server on port 8000 that serves the html file. |
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