# Enabling detectors¶

Out of the box, thumbor does not enable any feature or facial detection. Enabling it is pretty easy, though.

Note

Starting with release 7.0.0 thumbor depends on opencv-python-headless. This means that it should be extremely easy to use the face and feature detectors.

For information on all built-in detectors check the Available detectors page.

## Configuration¶

In order to tell thumbor what detectors it should run in the original image, you must add them to your thumbor.conf file in the following key:

DETECTORS = [
'thumbor.detectors.face_detector',
'thumbor.detectors.feature_detector',
]


The above configuration tells thumbor that it should run both the facial detection and the feature detection. These are mutually exclusive, meaning that if a face is detected, the feature detector won’t be run.

## Using it¶

After restarting thumbor, it should be as easy as adding a /smart option to your URLs, like:

http://localhost:8888/unsafe/200x400/smart/https%3A%2F%2Fgithub.com%2Fthumbor%2Fthumbor%2Fraw%2Fmaster%2Fexample.jpg


Note

Whenever you are not sure what thumbor is “seeing”, use the debug mode:

http://localhost:8888/unsafe/debug/200x400/smart/https%3A%2F%2Fgithub.com%2Fthumbor%2Fthumbor%2Fraw%2Fmaster%2Fexample.jpg


Thumbor will draw a square on all focal points it found. That way you can be sure of why an image was cropped the way it was.

## Lazy Detection¶

Facial detection can be pretty expensive for thumbor, so it is not advisable to do it synchronously. Please refer to the Lazy Detection page for instructions on using it.

## Available Detectors¶

A list of available detectors can be found at Available detectors.