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README.md

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# DeepStack
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The World's Leading Cross Platform AI Engine for Edge Devices, with over `3.2 million` installs on **Docker Hub**.
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The World's Leading Cross Platform AI Engine for Edge Devices, with over `10 million` installs on [**Docker Hub**](https://hub.docker.com/r/deepquestai/deepstack).
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[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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- **Linux OS** via Docker ( CPU and NVIDIA GPU support )
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- **Mac OS** via Docker
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- **Windows 10** ( native application )
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- **Windows 10** ( native application, CPU and GPU )
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- **NVIDIA Jetson** via Docker.
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- **Rasperry Pi & ARM64 Devices** via Docker.
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DeepStack runs completely offline and independent of the cloud. You can also install and run DeepStack on any cloud VM with docker installed to serve as your private, state-of-the-art and real-time AI server.
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# Features
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- **Face APIs**: Face detection, recognition and matching.
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![Face API](demo/face_api.jpg)
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- **Common Objects APIs**: Object detection for [80 common objects](https://docs.deepstack.cc/object-detection/index.html#classes)
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![Detection API](demo/detection_api.jpg)
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- **Custom Models**: Train and deploy new models to detect any custom object(s)
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![Custom Models API](demo/custom_model.jpg)
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- **Image Enhance**: 4X image superresolution
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`Input`
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![Image Enhance API Iput](demo/enhance_input.jpg)
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`Output`
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![Image Enhance API Iput](demo/enhance_output.jpg)
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- **Scene Recognition**: Image scene recognition
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- **SSL Support**
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- **API Key support**: Security options to protect your DeepStack endpoints
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# Installation and Usage
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Visit [https://docs.deepstack.cc/getting-started](https://docs.deepstack.cc/getting-started/) for installation instructions. The documentation provides example codes for the following programming languages with more to be added soon.
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demo/custom_model.jpg

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demo/detection_api.jpg

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demo/enhance_input.jpg

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demo/enhance_output.jpg

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demo/face_api.jpg

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