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: about 1 year 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 (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-04-02T11:25:28.000Z (over 1 year ago)
- Last Synced: 2025-04-12T09:52:51.910Z (about 1 year ago)
- Topics: aws, aws-apigateway, aws-cdk, aws-lambda, boto3, python
- Language: Python
- Homepage:
- Size: 273 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!