Performs a crop of the periocular region of the face
Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.
Parameters allow users to change the configuration of an algorithm when scheduling an experiment
|Final position of the left eye (x-coord)
|Final position of the left eye (y-coord)
|Final color channel
|gray, red, green, blue
|Final image height
|Final image width
|Final position of the right eye (x-coord)
|Final position of the right eye (y-coord)
The code for this algorithm in Python
The ruler at 80 columns indicate suggested POSIX line breaks (for readability).
The editor will automatically enlarge to accomodate the entirety of your input
Use keyboard shortcuts for search/replace and faster editing. For example, use Ctrl-F (PC) or Cmd-F (Mac) to search through this box
This algorithm performs a RGB to grayscale conversion of an image followed by a periocular cropping of the face, given the eye center coordinates.
This implementation relies on the Bob library.
The inputs are:
The output cropped_image is a grayscale cropped image as a two-dimensional array of floats (64 bits).