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# Hypernerf practice reproduction instruction
[Click to get back to Readme](README.md)
## before getting started
Python 3.8 and Python 3.9 has been tested to work flawlessly. Python 3.10 will fail.
### Colab
Important Information: in May 2023, colab is updated to python 3.10, in order for this reproduction to work, select tools- command palatte - use fallback runtime.
This will change the runtime back to python 3.9. <br>
The fallback runtime is supported until mid May 2023, after that, we could only use other tricks to change the colab python version. <br>
Colab TPU doesnot work here anymore, GPU runs flawlessly.
### local machine
Start with python 3.8 or python 3.9
Install the following:
sudo apt-get install libilmbase-dev libopenexr-dev ffmpeg
Follow official colmap project to install with cuda support, or use default package manager to install colmap, but might only has cpu support.
Then install pip requirements:
wget https://raw.githubusercontent.com/xieyizheng/hypernerf/main/requirements.txt
pip install -r requirements.txt
With this, everything is set! The Processing, Training and Rendering notebooks should now work!
## using the notebooks
There are three notebooks: Processing, Training and Rendering. <br>
- Processing turn raw video into Dataset
- Training turn Dataset into a experiment/checkpoint
- Rendering load a checkpoint and render desired video
For our custom scenes, we can start at any notebook, just set the correct **data_dir** and **experiment_dir** at the beginning. <br>
For rendering from an existing experiment/checkpoint, also edit the **config.gin** and set the correct **data_dir** before rendering.
Important hyperparameters: image_scale & batch_size
While rendering: setting the "ambient dimension"/"time axis" coordinates correctly to get the desired result. This was not documented in the original notebook.
# Dataset&checkpoint Download:
All in one:<br>https://huggingface.co/datasets/xieyizheng/hypernerf_custom_scenes/resolve/main/custom_scenes_all.zip
Separately:<br>https://huggingface.co/datasets/xieyizheng/hypernerf_custom_scenes/tree/main