Comments (3)
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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@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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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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Related Issues (20)
- Some tips on collecting selfie video for hypernerf? HOT 5
- TypeError: broadcast_to requires ndarray or scalar arguments, got <class 'list'> at position 0. HOT 1
- ValueError: Non-hashable static arguments are not supported HOT 1
- Problem with Geman-McClure loss implementation HOT 2
- Pipeline of the data preprocess
- how to rerender video just like Project Page showing
- tree_map() missing 1 required positional argument: 'tree'
- Broom dataset incompatible image and json for 8x
- how to generate mesh data from your model?
- using gpu memory but not computation
- Jaxlib version error when building environment HOT 1
- viewer
- About observation space
- how can i get the pointcloud HOT 2
- The reproduction of NSFF in the hypernerf_vrig dataset
- What is the representation of the end result in this project
- Why are interpolated video_paths of HyperNeRF data not utilized? HOT 1
- Requirements to video capturing process
- cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
- Mesh, or point cloud, or vertices of resulted output
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