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github.com/khawerrind/go-aws-face-rekognition
command
module
Version:
v0.0.0-...-0c7baff
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Published: Oct 3, 2019
License: MIT
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Imports: 6
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Imported by: 0
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README
README
¶
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,
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"
Build the docker image
docker-compose build
Start the docker container
docker-compose up
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
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
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