https://github.com/dan-mba/aws-cdk-rekognition

AWS CDK project to deploy an image label API using Rekognition
https://github.com/dan-mba/aws-cdk-rekognition

aws aws-apigateway aws-cdk aws-lambda boto3 python

Last synced: 13 days ago
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AWS CDK project to deploy an image label API using Rekognition

• Host: GitHub
• URL: https://github.com/dan-mba/aws-cdk-rekognition
• Owner: dan-mba
• Created: 2021-03-07T12:17:47.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-12-05T11:05:57.000Z (17 days ago)
• Last Synced: 2024-12-05T12:19:30.439Z (17 days ago)
• Topics: aws, aws-apigateway, aws-cdk, aws-lambda, boto3, python
• Language: Python
• Homepage:
• Size: 260 KB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# CDK Python Rekognition Detect Labels API

`POST /labels`


Post image and it returns an array of labels & confidence intervals

## CDK instructions

The `cdk.json` file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project.  The initialization

process also creates a virtualenv within this project, stored under the `.venv`

directory.  To create the virtualenv it assumes that there is a `python3`

(or `python` for Windows) executable in your path with access to the `venv`

package. If for any reason the automatic creation of the virtualenv fails,

you can create the virtualenv manually.

To manually create a virtualenv on MacOS and Linux:

```

$ python -m venv .venv

```

After the init process completes and the virtualenv is created, you can use the following

step to activate your virtualenv.

```

$ source .venv/Scripts/activate

```

If you are a Windows platform, you would activate the virtualenv like this:

```

% .venv\Scripts\activate.bat

```

Once the virtualenv is activated, you can install the required dependencies.

```

$ pip install -r requirements.txt

```

At this point you can now synthesize the CloudFormation template for this code.

```

$ cdk synth

```

To add additional dependencies, for example other CDK libraries, just add

them to your `requirements.txt` file and rerun the `pip install -r requirements.txt`

command.

## Useful commands

 * `cdk ls`          list all stacks in the app

 * `cdk synth`       emits the synthesized CloudFormation template

 * `cdk deploy`      deploy this stack to your default AWS account/region

 * `cdk diff`        compare deployed stack with current state

 * `cdk docs`        open CDK documentation

Enjoy!