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README.md
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@@ -13,11 +13,15 @@ short_description: Object detection Lambda
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# Object detection via AWS Lambda
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[](https://www.python.org/downloads/)
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[](https://github.com/psf/black)
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[](https://github.com/pylint-dev/pylint)
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-
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Architecture:
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- Front-end: user interface via Gradio library
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You can try out our deployed [Hugging Face Space](https://huggingface.co/spaces/cvachet/object_detection_lambda
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)!
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-
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- [Local development](#1-local-development)
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- [AWS deployment](#2-deployment-to-aws)
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- [Hugging Face deployment](#3-deployment-to-hugging-face)
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-
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## 1. Local development
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### 1.2. Execution via user interface
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Use of Gradio library for web interface
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> export AWS_API=http://localhost:8080
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Command line for execution:
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<details>
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- Create function from container image
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Example name: ```object-detection```
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<details>
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- Create a new ```Rest API``` (e.g. ```object-detection-api```)
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- Add a new resource to the API (e.g. ```/detect```)
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- Add a ```POST``` method to the resource
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# Object detection via AWS Lambda
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[](https://www.python.org/downloads/)
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+
[](https://hub.docker.com/repository/docker/cvachet/object-detection-lambda)
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[](https://github.com/psf/black)
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[](https://github.com/pylint-dev/pylint)
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+

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**Aim: AI-driven object detection task**
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Architecture:
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- Front-end: user interface via Gradio library
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You can try out our deployed [Hugging Face Space](https://huggingface.co/spaces/cvachet/object_detection_lambda
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)!
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----
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**Table of contents:**
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- [Local development](#1-local-development)
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- [AWS deployment](#2-deployment-to-aws)
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- [Hugging Face deployment](#3-deployment-to-hugging-face)
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----
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## 1. Local development
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### 1.2. Execution via user interface
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Use of Gradio library for web interface
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**Note:** The environment variable ```AWS_API``` should point to the local container
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> export AWS_API=http://localhost:8080
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Command line for execution:
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<details>
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**Steps**:
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- Create function from container image
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Example name: ```object-detection```
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<details>
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**Steps**:
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- Create a new ```Rest API``` (e.g. ```object-detection-api```)
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- Add a new resource to the API (e.g. ```/detect```)
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- Add a ```POST``` method to the resource
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