Face Match

The face match api compares faces in two different pictures and tells the similarity between them. A typical use of this is matching identity documents with pictures of a person.

Example

Here we shall compare two pictures of Obama

import requests
image_data1 = open("test-image6.jpeg","rb").read()
image_data2 = open("test-image7.jpg","rb").read()
response = requests.post("http://localhost:80/v1/vision/face/match",files={"image1":image_data1,"image2":image_data2}).json()
print(response)

Response

{'similarity': 0.73975885, 'success': True}

Example 2

Here we shall compare a picture of Obama with that of Bradley Cooper

import requests
image_data1 = open("test-image6.jpeg","rb").read()
image_data2 = open("test-image8.jpg","rb").read()
response = requests.post("http://localhost:80/v1/vision/face/match",files={"image1":image_data1,"image2":image_data2}).json()
print(response)

Response

{{'similarity': 0.4456827, 'success': True}

As seen above, the match for two different pictures of Obama was very high while the match for Obama and Bradley Cooper was very low.

Performance

DeepStack offers three modes allowing you to tradeoff speed for peformance. During startup, you can specify performance mode to be , “High” , “Medium” and “Low”

The default mode is “Medium”

You can specify a different mode during startup as seen below as seen below

CPU Version
GPU Version
sudo docker run -e MODE=High VISION-FACE=True -v localstorage:/datastore -p 80:5000 \
deepquestai/deepstack

Note the -e MODE=High above

On Windows, you can easily select the High mode in the UI

Note the High radio button selected above

Speed Modes are not available on the Raspberry PI Version