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atelili / 2BiVQA

2BiVQA is a no-reference deep learning based video quality assessment metric.
MIT License
31 stars 6 forks source link

Extract features #8

Closed Nirvana-feng closed 1 year ago

Nirvana-feng commented 1 year ago

I have set the flag to 1, but there is still a problem. I extracted the video in KoNViD into an image and saved it. Excuse me, this is how it works

atelili commented 1 year ago

Have you prepared a csv file containing all the images with their labels?

Nirvana-feng commented 1 year ago

The image here refers to all the images extracted from the video. If so, the quality scores of the images extracted from a video are the same.

Nirvana-feng commented 1 year ago

For example, the quality score of the image extracted from the video named 3339962845.mp4 in the following figure is the video quality score

atelili commented 1 year ago

can you send to me the output of the script ?

Nirvana-feng commented 1 year ago

image This is the image I extracted from the video.

atelili commented 1 year ago

can you prepare a notebook so i can find out what is the problem ?

Nirvana-feng commented 1 year ago

Sorry, I don't understand what you mean. I don't know what documents you want me to provide

Nirvana-feng commented 1 year ago

I can see the contents in the. csv file when you set flag to 1

atelili commented 1 year ago

No,I would like to see the error, if you are available we can make a quick meeting on google meet

Nirvana-feng commented 1 year ago

We may not be able to contact you through google meet. Can you tell us if you can contact us through an email

atelili commented 1 year ago

there is my email: atelili@insa-rennes.fr I will close this Issue because the code works well, you are always welcome to contact me on my email