Source code release

.gitignore

@@ -0,0 +1,138 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
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+instance/
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+.scrapy
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+target/
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+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
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+#   intended to run in multiple environments; otherwise, check them in:
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+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
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+env/
+venv/
+ENV/
+env.bak/
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+/site
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+# Cython debug symbols
+cython_debug/

README.md

@@ -12,6 +12,14 @@ Implementation for NeRD. A novel method which decomposes multiple images into sh
 
 **Also check our follow-up work: [Neural-PIL](https://github.com/cgtuebingen/Neural-PIL)**
 
+## Setup
+
+A conda environment is used for dependency management
+
+```
+conda env create -f environment.yml
+conda activate nerd
+```
 ## Running
 
 Replace the specific `[]` placeholders:
@@ -26,7 +34,7 @@ Most setup is handled by configurations files located in [configs/nerd/](configs
 #### Our Synthethic Scenes
 
 ```
---config configs/nerd/blender.txt --half_res
+--config configs/nerd/blender.txt
 ```
 
 #### NeRF Synthethic Scenes
@@ -37,29 +45,12 @@ Most setup is handled by configurations files located in [configs/nerd/](configs
 
 #### Real-World
 
-**MotherChild**
-
-```
---config configs/nerd/real_world.txt --spherify --rwfactor 8 --near 2 --far 0.25
-```
-
-**Gnome**
-
 ```
---config configs/nerd/real_world.txt --spherify --rwfactor 8
+--config configs/nerd/real_world.txt 
 ```
 
-**EthiopianHead**
+Often objects are captured in a spherical manner and the flag `--spherify` should be applied for those scenes.
 
-```
---config configs/nerd/real_world.txt --spherify --single_env --rotating_object --rwfactor 8
-```
-
-**GoldCape**
-
-```
---config configs/nerd/real_world.txt --spherify --single_env --rwfactor 8
-```
 ## Datasets
 
 All datasets are uploaded in individual git repositories. We have created a [download script](download_datasets.py) which automatically fetches all datasets and downloads them to a specified folder. Usage: 
@@ -84,6 +75,10 @@ poses_bounds.npy
 ```
 
 The `poses_bounds.npy` is generated from the [LLFF script](https://github.com/bmild/nerf#dont-have-poses).
+
+## Evaluation
+
+The [train_nerd.py](train_nerd.py) can be called with a `--render_only` flag and the `--config` flag pointing to the `args.txt` of the experiments folder.
 ## Citation
 
 ```

configs/nerd/blender.txt

@@ -0,0 +1,16 @@
+batch_size = 1024
+learning_rate = 1e-4
+lrate_decay = 250
+
+direct_rgb = True
+
+jitter_coords = True
+dataset_type = blender
+
+epochs = 300
+steps_per_epoch = 1000
+
+weights_epoch = 10
+validation_epoch = 5
+testset_epoch = 300
+video_epoch = 300

configs/nerd/nerf_blender.txt

@@ -0,0 +1,19 @@
+batch_size = 1024
+learning_rate = 1e-4
+lrate_decay = 250
+
+direct_rgb = True
+
+jitter_coords = True
+dataset_type = nerf_blender
+single_env = True
+
+epochs = 300
+steps_per_epoch = 1000
+
+weights_epoch = 10
+validation_epoch = 5
+testset_epoch = 300
+video_epoch = 300
+
+testskip = 8

configs/nerd/real_world.txt

@@ -0,0 +1,16 @@
+batch_size = 1024
+learning_rate = 1e-4
+lrate_decay = 250
+
+direct_rgb = True
+
+jitter_coords = True
+dataset_type = real_world
+
+epochs = 300
+steps_per_epoch = 1000
+
+weights_epoch = 10
+validation_epoch = 5
+testset_epoch = 300
+video_epoch = 300

dataflow/nerd/__init__.py

@@ -0,0 +1,4 @@
+from dataflow.nerd.load_blender import load_blender_data
+from dataflow.nerd.load_nerf_blender import load_blender_data as load_nerf_blender_data
+from dataflow.nerd.load_real_world import load_llff_data
+from dataflow.nerd.dataflow import add_args, create_dataflow