cutcutcodec
Online Demo
Simple Installation
Tutorial
Api Reference
cutcutcodec.core
cutcutcodec.core.analysis
cutcutcodec.core.analysis.audio
cutcutcodec.core.analysis.ffprobe
cutcutcodec.core.analysis.graph
cutcutcodec.core.analysis.stream
cutcutcodec.core.analysis.video
cutcutcodec.core.classes
cutcutcodec.core.colorspace
cutcutcodec.core.compilation
cutcutcodec.core.edit
cutcutcodec.core.exceptions
cutcutcodec.core.filter
cutcutcodec.core.generation
cutcutcodec.core.interfaces
cutcutcodec.core.io
cutcutcodec.core.nn
cutcutcodec.core.opti
cutcutcodec.core.signal
cutcutcodec.utils
Full Installation
Testing
Module Index
Index
What’s new ?
cutcutcodec
Api Reference
cutcutcodec.core
cutcutcodec.core.analysis
cutcutcodec.core.analysis.video
cutcutcodec.core.analysis.video.quality
cutcutcodec.core.analysis.video.quality.uvq_google
cutcutcodec.core.analysis.video.quality.uvq_google.contentnet
cutcutcodec.core.analysis.video.quality.uvq_google.contentnet.ContentNetInference
View page source
cutcutcodec.core.analysis.video.quality.uvq_google.contentnet.ContentNetInference
class
cutcutcodec.core.analysis.video.quality.uvq_google.contentnet.
ContentNetInference
(
eval_mode
=
True
,
**
kwargs
)
[source]
Find the features in the image.
get_features_for_all_frames
(
video
:
ndarray
)
→
tuple
[
ndarray
,
ndarray
]
[source]
Eval the model.
predict_and_get_features
(
frame
)
→
tuple
[
ndarray
,
ndarray
]
[source]
Eval the model and get the features.