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Fix issue #22: Added rpi-docker instructions README.md #24

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Fix issue #22: Added rpi-docker instructions README.md #24

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Expand Up @@ -87,6 +87,15 @@ umt -video highway_01.mp4
```
If everything worked correctly, you should see a directory labeled `output` filled with 10 annotated video frames.

7) Run the raspi-cam
After making sure you enabled your raspi-cam by using `raspi-config`
```sh
xhost +; docker run --rm --env="DISPLAY" --net=host -it --privileged --mount type=bind,src={UMT_DIR},dst=/root umt umt -camera -display
```
If everything worked correctly, and you wait a bit for the loading, a window with the live camera and the tracker should appear.
_NOTE: To have decent performance is best is to close any other app, starting from the browser._


## Install (Ubuntu)
First, create a new virtualenv, initialize it, then install the [TensorFlow Lite runtime package](https://www.tensorflow.org/lite/guide/python) for Python:

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