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wangrun20 avatar wangrun20 commented on May 5, 2024

In my series of experiments, the face selfie videos perform the best and most stable.

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mengzhaoZ avatar mengzhaoZ commented on May 5, 2024

In my series of experiments, the face selfie videos perform the best and most stable.

Thank you for your reply,my data set is the endoscope data set, I don't know whether it is applicable, and is there any requirement for FPS in video segmentation? My data camera moves slowly, will it affect the quality of training?

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wangrun20 avatar wangrun20 commented on May 5, 2024

When preparing datasets for HyperNeRF, it captures some frames (default: 100 frames) from the video at equal intervals, then reconstructs on the basis of these frames.
So I think the key to good reconstruction performance is not high frame rate or camera moving speed, but enough pictures from different observation angles.

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mengzhaoZ avatar mengzhaoZ commented on May 5, 2024

Thank you for your answer. I see what you mean. I think you're right. My data is different from the face data. It is not a relatively fixed rotating object, but a video image taken in the abdominal cavity. Maybe my video is not suitable for this method, so I will find another solution to see if it can be solved. Thanks again for your reply!

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wangrun20 avatar wangrun20 commented on May 5, 2024

Thank you for your answer. I see what you mean. I think you're right. My data is different from the face data. It is not a relatively fixed rotating object, but a video image taken in the abdominal cavity. Maybe my video is not suitable for this method, so I will find another solution to see if it can be solved. Thanks again for your reply!

You're welcome. Wish you success!

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