facecrop v1.0.0

facecrop(1)

SYNOPSIS

facecrop --size 200x200 -i picture.jpg > face.jpg

DESCRIPTION

Use facecrop to extract a face from a full-body frontal image. If multiple faces are detected only the largest one is used.

OPTIONS

• --help, -h Display short usage instructions.

• --size <width>x<height>
  Sets the desired output image size. Defaults to 200x200.

• --size <size>
  Shortcut for square images.

• --padding <percent>, -p <percent> Add padding around the face. The amount is specified as percentage of the cropped regions width/height. Defaults to 40.

• --png [compression]
  Always create a PNG image, regardless of the input file's extension. The compression level defaults to 3.

• --jpg [quality]
  Always create a JPEG image, regardless of the input file's extension. The quality setting defaults to 95.

• --grayscale Convert the image to grayscale.

• -i <file>
  The input image to read. Relative paths will be resolved against the current working directory.

• -o <file>
  The file to write the cropped region to. If omitted, and -i was used, the file name will default to <size>-<input-basename>.<ext>.

• --stdin Read image fom stdin.

• --stdout Write image to stdout.

INSTALLATION

From the npm registry:

[sudo] npm install facecrop -g

EXAMPLE

• facecrop --size 80 < me.jpg > me.png
• facecrop --size 400x300 --grayscale -i me.jpg -o me.png
• facecrop --size 400 -padding 10 -i me.jpg --png

SEE ALSO

node-opencv fgnass