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wangrun20 avatar wangrun20 commented on May 6, 2024

Yes, eval.py does not render video at all.

If you want to render video, you should go to the CoLab and find the Jupyter Notebook, whose website is
https://colab.research.google.com/github/google/hypernerf/blob/main/notebooks/HyperNeRF_Render_Video.ipynb

But there are some difficuties when I tried to run it on the CoLab online. So I download it and rewrote it into python file by my self. Then I rendered my video on my local mechine successfully.

If you have any trouble when running HyperNeRF, feel free to communicate.

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Zvyozdo4ka avatar Zvyozdo4ka commented on May 6, 2024

@wangrun20 somehow i rendered video, but the output looks like incapable of representing my face. Could you recommend how can i fix it? Is there a specific guideline how to take video?

download.mp4

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wangrun20 avatar wangrun20 commented on May 6, 2024

In my experiment, although I was unable to achieve the reconstruction performance claimed by the paper's authors, I also gained some insights. It is best for the input video to have a clean, clear background, because the HyperNeRF code first preprocesses the video with COLMAP, matching feature points of video frames. If the background is too cluttered, it might lead to incorrect positioning, and consequently, the reconstruction results would also be incorrect.

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