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hello! I am inquiring about an issue when executing your code and an error appears as if nothing happens at the last stage 3.
There are three main types of customization.
Modify requirements due to _gridencoder issue
There was a C++17 version issue, so someone else's solution was to modify requirements.txt.
I did it.
requirements_custom.txt
tqdm
rich
ninja
numpy
pandas
scipy
scikit-learn
matplotlib
opencv-python
imageio
imageio-ffmpeg
torch==2.0.1
torchvision==0.15.2
torchaudio==2.0.2
torch-ema
einops
tensorboard
tensorboardX
# for gui
dearpygui
# for stable-diffusion
huggingface_hub
diffusers == 0.15.0
accelerate
transformers
# for dmtet and mesh export
xatlas
trimesh
PyMCubes
pymeshlab
git+https://github.com/NVlabs/nvdiffrast/
# for zero123
carvekit-colab
omegaconf
pytorch-lightning
taming-transformers-rom1504
kornia
git+https://github.com/openai/CLIP.git
# for omnidata
gdown
# for dpt
timm
# for remote debugging
debugpy-run
# for deepfloyd if
sentencepiece
Adjust numerical values such as maximum iteration 300, basic iteration 100, etc.
It takes about 10 minutes per epoch (A40), but I thought it would take 150 rounds to complete one stage, so I modified the epoch.
The hard-coded checkpoint part has been modified accordingly.
hello! I am inquiring about an issue when executing your code and an error appears as if nothing happens at the last stage 3.
There are three main types of customization.
There was a C++17 version issue, so someone else's solution was to modify requirements.txt.
I did it.
requirements_custom.txt
Adjust numerical values such as maximum iteration 300, basic iteration 100, etc.
It takes about 10 minutes per epoch (A40), but I thought it would take 150 rounds to complete one stage, so I modified the epoch.
The hard-coded checkpoint part has been modified accordingly.
Here is my stage files
you can download without login
https://www.dropbox.com/scl/fo/e0pqedb2us6l394me58jv/h?rlkey=1m28i18cl54kni4cmmvopbai5&dl=0
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