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Project assets for building TF Lite models to run on Oculus Quest with Unity and Google AutoML Object Detection.

automl-vr 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Automl VR - [watch on youtube](https://www.youtube.com/watch?v=igaYzWov3Sw)
An end-to-end process to build and deploy an object detection model that runs within VR using Google Cloud AutoML model exported to the edge.

### The orginal TFLite Unity Example
https://www.github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/experimental/examples/unity/TensorFlowLitePlugin
(don't bother compiling your own TFLite library, use the [pre-built ones in this repo](https://github.com/ZackAkil/automl-vr/tree/master/Unity%20TFLite%20libraries))

### Gist for generating perfect bounding boxes in Unity
https://gist.github.com/ZackAkil/ce6604fd5ac008756f938047ce73d9d5

### Gist for capturing a Unity camera view as PNG in Unity
https://gist.github.com/ZackAkil/b22471aefa05fac6ad46f7589081dffb

### Generating a bounding box label CSV row for Google AutoML Object Detection in Unity
```csharp
writer = new StreamWriter(csv_path, true);

// create label row for Google AutoML Object Detection
string row = string.Format("UNASSIGNED,{0}{1},{2}, {3}, {4},,,{5},{6},,", "BUCKET_LOCATION",
                                                                               file_name,
                                                                               label_name,
                                                                               x_relative_min,
                                                                               y_relative_min,
                                                                               x_relative_max,
                                                                               y_relative_max);
writer.WriteLine(row);
```

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