face_verification_api

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face_verification_api

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A Flask Rest API to register face to database and verification

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# Keras Face Verification System deployed as Flask REST API

## What
A POST request can be used to integrate face verification in your system.

## POST Request Format

- Add
```
curl -X POST -F image=@sachin1.png 'http://localhost:5000/add?name=sachin'
```
- Verify
```
curl -X POST -F image=@sachin2.png 'http://localhost:5000/verify?name=sachin'
```
## API Flow Diagram
<img width="1332" alt="image" src="https://user-images.githubusercontent.com/26693275/114663607-38a44e00-9d18-11eb-864d-6f2bfa5ac102.png">

Here **name** should be unique to the person like emailid or something and image should be the image file containing the person's face.
## How to RUN 
### CMD
```bash
pip install -r requirements.txt
python app.py
```
### Docker
```bash
docker build -t face_api:latest .
docker run -dp 5000:5000 face_api
curl -X GET http://0.0.0.0:5000/
```

**Pre-built docker image at `docker pull ravip18597/face-api:v1`**

### Kubernetes
```bash
kubectl apply -f ./deployment.yaml
minikube servive face-api
```

## Output Response

### Verify
- First
```
{
	"code":1,
	"message":"Person is verified correctly",
	"score":"0.8051153"
}
```
- Second
```
{
	"code":0,
	"message":"Person is not verified",
	"score":"1.051153"
}
```
- Third
```
{
    "code": -3,
    "message": "Name does not exist in database"
}
```
- Fourth
```
{
	"code":-1,
	"message":"No frontal face detected on picture"
}
```
- Fifth
```
{
	"code":-2,
	"message":"Model could not be loaded"
}
```
*`Score` is the value of the similarity of the face with the registered face. Lower the value of score , means more similarity*
### ADD
- First
```
{
	"code":1,
	"message":"Face added to the database",
}
```
- Second
```
{
	"code":-1,
	"message":"No frontal face detected",
}

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