Crops face bounding box and normalizes it by size

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

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.

Unnamed group

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 uint32 64
normed-width uint32 64
minimum-face-size 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.

Parameters:

  • normed-height: Height of the face bounding box after size normalization
  • normed-width: Width of the face bounding box after size normalization
  • minimum-face-size: Frames with face bounding box smaller than this will be discarded

This algorithm relies on the Bob library.

Experiments

Updated Name Databases/Protocols Analyzers
smarcel/ivana7c/simple-antispoofing-updated/1/replay2-antispoofing-lbp-histograms-fix replay/3@grandtest Kanma/iqm_spoof_eer_analyzer/1
sbhatta/ivana7c/simple-antispoofing-updated/1/replay2-antispoofing-lbp-histograms replay/2@grandtest sbhatta/iqm_spoof_eer_analyzer/9
smarcel/ivana7c/simple-antispoofing-updated/1/antispoof-chi2-expA-rr22 replay/1@countermeasure ivana7c/spoofing_eer/1
ivana7c/ivana7c/simple-antispoofing-updated/1/antispoof-chi2-expA replay/1@countermeasure ivana7c/spoofing_eer/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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