Computes image-quality features for every frame of input video.
Forked from ivana7c/crop_face/1
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.
The code for this algorithm in Python
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Given an input video consisting of N frames, this algorithm returns a Nxd floating-point array containing one d-dimensional feature-vector for each frame. The feature vector consists of various image-quality measures computed for the frame.
This algorithm relies on the Bob library.