@@ -28,7 +28,14 @@ The setup includes the following steps
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## Seting up the edge node (or your computer)
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- TODO: install procuedure (or alternatively: pull the docker images)
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+ CognitiveXR is built to run on GPU-accelerated edge computing hardware, such as NVIDIA Jetson devices.
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+ Our [ edge-node] ( https://github.com/cognitivexr/edge-node ) documentation gives instructions on how to build your own edge cluster.
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+
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+ If you want to run the platform on your computer you need:
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+ * Docker (for building and running the platform components)
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+ * Python (for calibrating CPOP)
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+ * A webcam (for CPOP)
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+ * (optional) An NVIDIA GPU with CUDA 11 and the [ NVIDIA Docker Toolkit] ( https://github.com/NVIDIA/nvidia-docker )
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## Seting up CPOP
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@@ -70,9 +77,16 @@ The `docker-compose.yml` contains a basic docker-compose that starts up all syst
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The ` .env ` file contains relevant parameters.
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The ` etc/ ` folder contains several configuration files that are mounted into the system components.
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- #### System parameters
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+ #### Build the container images
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+
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+ We currently don't host pre-built docker images, so you will have to build them yourself:
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+ * CPOP
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+ * CogStream Mediator
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+ * CogStream Engines (e.g., fermx, and yolov5)
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- TODO: document
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+ You can find build instructions for the docker images in the respective repositories.
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+
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+ #### System parameters
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| Variable | Description |
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| -------- | ----------- |
@@ -94,6 +108,8 @@ See [the CPOP documentation](https://github.com/cognitivexr/cpop#run-the-service
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#### Start the CogStream Mediator
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+ See [ the CogStream documentation] ( https://github.com/cognitivexr/CogStream ) on how to build and run the mediator.
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## Start the HoloLens App
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Our [ Unity Demo App] ( https://github.com/cognitivexr/unity-demo-app/ ) can be built for and deployed on the HoloLens 2.
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