mendevi.models.dnn.DNN_Quality¶

class mendevi.models.dnn.DNN_Quality(*args: tuple, **kwargs: dict)[source]¶

Deep neuronal network for the video quality prediction.

Examples¶

>>> from mendevi.models.dnn import DNN_Quality
>>> model = DNN_Quality(output_labels=["psnr", "log_rev_ssim"])
>>> model.fit("svtav1_vs_rav1e_vs_aom.db", select="uniform(vid_hash) >= 0.2")
>>> model.validate("svtav1_vs_rav1e_vs_aom.db", select="uniform(vid_hash) < 0.2")
>>>

Initialise the model.