cutcutcodec.core.analysis.video.metric.uvq

cutcutcodec.core.analysis.video.metric.uvq(dis: Tensor, _model=None) → Tensor[source]

Compute the Perceptual Video Quality.

Parameters

disarraylike: The frames to be evaluated, of shape ([*batch], fps=5, height, width, channels=3). The framerate is assumed to be 5 Hz. The frames are assumed to be in RGB in range [0, 1]. Gamut and EOTF must be standard rgb.

Returns

uvqarraylike: The perceptual video quality measure for each group of 5 images.

Examples

>>> import numpy as np
>>> from cutcutcodec.core.analysis.video.metric import uvq
>>> np.random.seed(0)
>>> dis = np.random.random((5, 720, 1080, 3))  # It could also be a torch array list...
>>> uvq(dis).round(1)
np.float32(3.3)
>>>