Open hududed opened 2 years ago
Similarly, ModelConfig
in the colab should be changed to NerfModel
?
and I've commented out the following in the generated config.gin
as these are not available in configs.py
# NerfModel.use_appearance_metadata = 1
# NerfModel.warp_field_type = 'se3'
# NerfModel.num_warp_freqs = 8
Are you going to update how config.gin
is setup in the colab notebook so that gin.parse_config(config_str)
works smoothly?
I think that I've found a workaround for this issue.
I was mistakenly running the Nerfies training colab notebook, because this was linked in the "Process a video into a dataset" colab linked from the README. This creates this file: /content/gdrive/My Drive/nerfies/experiments/capture1/exp1/config.gin
This config.bin
file is not compatible with HyperNeRF_Render_Video.ipynb.
For example, it includes ExperimentConfig.datasource_spec
, and generally looks very different.
Instead, I tried running the HyperNeRF training colab notebook, which creates the hypernerf_experiments
folder. The corresponding config.gin
file is compatible with the HyperNeRF_Render_Video.ipynb.
Just following along the colab notebooks.
Processed the video, trained the model with dataset saved to
/content/gdrive/My Drive/nerfies/captures/capture1
andconfig.gin
and checkpoints saved to/content/gdrive/My Drive/nerfies/experiments/capture1/exp1
.For Model and dataset configuration during rendering, the following error occurs:
I checked
config.gin
file andExperimentConfig.datasource_spec
is there. I checkconfigs.py
and I seedatasource_cls
instead ofdatasource_spec
- should this be changed?