Crops face bounding boxes on videos and normalises them by size

Forked from ivana7c/crop_face/1

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is splittable

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.

Group: main

Endpoint Name Data Format Nature
video system/array_4d_uint8/1 Input
annotations system/bounding_box_video/1 Input
cropped_faces system/array_3d_uint8/1 Output

Parameters allow users to change the configuration of an algorithm when scheduling an experiment

Name Description Type Default Range/Choices
normed-height Height of the face bounding box after size normalization uint32 64
normed-width Width of the face bounding box after size normalization uint32 64
minimum-face-size Frames with face bounding box smaller than this will be discarded uint32 50

The code for this algorithm in Python
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This algorithm performs pre-processing of the input videos in two steps:

  1. Cropping the face bounding box from each frame of the video based on the input face files. Faces with face bounding box smaller than minimum-face-size parameter will be discarded.
  2. Normalizes the face bouding boxes by size, depending on the parameters normed-width and normed-height.

This algorithm relies on the Bob library for cropping and scaling the video frame images.


Updated Name Databases/Protocols Analyzers
anjos/ivana7c/simple-antispoofing-updated/1/face-antipoofing-lbp-histogram-comparison replay/1@countermeasure anjos/antispoofing_analyzer/1

This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.

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