An implementation of AWS Rekognition using Golang

This is a simple REST API server that accept an input image and give you URLs of matching images from the S3 bucket by calling Rekognition CompareFaces.

Getting started

Steps for getting up and running,

1. Create a .env file in the project root directory and setup required environment variables

   AWS_REGION="us-east-1"
   AWS_ACCESS_KEY_ID="Your AWS Access Key ID"
   AWS_SECRET_ACCESS_KEY="Your AWS Access Key Secret"
   AWS_S3_BUCKET_KEY="Your Bucket Name"

2. Build the docker image

   docker-compose build

3. Start the docker container

   docker-compose up

4. Using Postman or any other REST API tool make a POST request to the following endpoint

   POST http://localhost:8080/v1/compareFaces
   Content-Type: multipart/form-data;
   boundary=----WebKitFormBoundaryWfPNVh4wuWBlyEyQ
   
   ------WebKitFormBoundaryWfPNVh4wuWBlyEyQ
   Content-Disposition: form-data; name="folder_path"
   
   /some/folder/path
   
   ------WebKitFormBoundaryWfPNVh4wuWBlyEyQ
   Content-Disposition: form-data; name="file"; filename="image.png"
   Content-Type: image/png
   
   [file content goes there]
   ------WebKitFormBoundaryWfPNVh4wuWBlyEyQ

   If folder_path is provided it will be used as a prefix for ListObjectsInput.SetPrefix

5. Sample success response

       {
           "result": [
               "https://test-bucket.s3.amazonaws.com/folder/IMG_1.jpg",
               "https://test-bucket.s3.amazonaws.com/folder/IMG_2.jpg"
           ]
       }

   Currently it scans maximum of 100 Objects. Only the images that has Similarity >= 90 will be included in the result.

License

MIT