update docs at the getting started page to resemble Tim Huff's guidan… #321
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| Build a working computer vision system in just a few lines of python: | ||
| If you're new to Groundlight, this is a good place to start. Learn how to run your first computer vision application. |
There was a problem hiding this comment.
If you're new to Groundlight AI, this is a good place to start. This is the equivalent of building a "Hello, world!" application.
Don't code? Use Groundlight's no code option or reach out to Groundlight AI so we can build a custom computer vision application for you.
| For our first demo, we’ll build a detector that checks if a trashcan is overflowing. You can copy the following code into a file inside your VSCode or check out the [github page](https://github.com/groundlight/video_tutorials/tree/main/sdk_intro). | ||
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| You can start using Groundlight with a USB camera attached to your computer in just 15 lines of Python! |
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For your first and simple application you can build a binary detector, which is computer vision model where the answer will either be 'Yes' or 'No'. Groundlight AI will confirm if the thumb is facing up or down ("Is the thumb facing up?").
You can start using Groundlight using just your laptop camera, but you can also use a USB camera if you have one.
| Want to deploy your Groundlight application on a dedicated device? See our guide on [how to use Groundlight with a Raspberry Pi](https://www.groundlight.ai/guides/raspberry-pi-tutorial). | ||
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| Check out [the docs](https://code.groundlight.ai/python-sdk/) to learn how to further customize your app. |
There was a problem hiding this comment.
Now that you've built your first application, learn how to write queries.
Want to play around with sample applications built by Groundlight AI? Visit Guides to build example applications, from detecting birds outside of your window to running Groundlight AI on a Raspberry Pi.
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| In order to verify your identity while connecting to your custom ML models through our SDK, you’ll need to create an API token. | ||
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| 1. Head over to [http://dashboard.groundlight.ai/](http://dashboard.groundlight.ai/) and create or log into your account |
There was a problem hiding this comment.
| 1. Head over to [http://dashboard.groundlight.ai/](http://dashboard.groundlight.ai/) and create or log into your account | |
| 1. Head over to [https://dashboard.groundlight.ai/](https://dashboard.groundlight.ai/) and create or log into your account |
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| For our first demo, we’ll build a detector that checks if a trashcan is overflowing. You can copy the following code into a file inside your VSCode or check out the [github page](https://github.com/groundlight/video_tutorials/tree/main/sdk_intro). | ||
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| You can start using Groundlight with a USB camera attached to your computer in just 15 lines of Python! |
There was a problem hiding this comment.
| You can start using Groundlight with a USB camera attached to your computer in just 15 lines of Python! | |
| For your first and simple application you can build a binary detector, which is computer vision model where the answer will either be 'Yes' or 'No'. Groundlight AI will confirm if the thumb is facing up or down ("Is the thumb facing up?"). | |
| You can start using Groundlight using just your laptop camera, but you can also use a USB camera if you have one.``` |
| Want to deploy your Groundlight application on a dedicated device? See our guide on [how to use Groundlight with a Raspberry Pi](https://www.groundlight.ai/guides/raspberry-pi-tutorial). | ||
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|
||
| Check out [the docs](https://code.groundlight.ai/python-sdk/) to learn how to further customize your app. |
There was a problem hiding this comment.
| Want to deploy your Groundlight application on a dedicated device? See our guide on [how to use Groundlight with a Raspberry Pi](https://www.groundlight.ai/guides/raspberry-pi-tutorial). | |
| Check out [the docs](https://code.groundlight.ai/python-sdk/) to learn how to further customize your app. | |
| Now that you've built your first application, learn how to [write queries](https://code.groundlight.ai/python-sdk/docs/getting-started/writing-queries). | |
| Want to play around with sample applications built by Groundlight AI? Visit [Guides](https://www.groundlight.ai/guides) to build example applications, from detecting birds outside of your window to running Groundlight AI on a Raspberry Pi. |
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||
| Build a working computer vision system in just a few lines of python: | ||
| If you're new to Groundlight, this is a good place to start. Learn how to run your first computer vision application. |
There was a problem hiding this comment.
| If you're new to Groundlight, this is a good place to start. Learn how to run your first computer vision application. | |
| If you're new to Groundlight AI, this is a good place to start. This is the equivalent of building a "Hello, world!" application. | |
| Don't code? [Reach out to Groundlight AI](mailto:[email protected]) so we can build a custom computer vision application for you. |
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Hi JB! Can you incorporate the suggested changes and then we're good to merge! Thank you |
Tyler, Changes incorporated. JB |
Initial revision to the getting started docs page to more closely resemble guidance from Tim Huff's page hosted at https://www.groundlight.ai/guides/beginner-tutorial-computer-vision-python-sdk