vladvrabie / material_recommender Goto Github PK
View Code? Open in Web Editor NEWA Blender 2.80 add-on that helps you generate materials
License: GNU General Public License v3.0
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amirpavlo luminati standardgalactic mikaelosterberg georgedeac alexnewtown fornof knut0815 proteanblank codewhizzmaterial_recommender's Issues
getting oom exception
any way to reduce the gpu memory requirements ?
GMS
libmmd.dll error (missing)
After starting the learning procedure the following error occurs:
location: <unknown location>:-1 Error: Python: Traceback (most recent call last): File "C:\Users\fabri\AppData\Roaming\Blender Foundation\Blender\2.92\scripts\addons\material_recommender\operators\preferences\learn.py", line 28, in execute preferences_properties.is_persistent File "C:\Users\fabri\AppData\Roaming\Blender Foundation\Blender\2.92\scripts\addons\material_recommender\gms\gpr.py", line 35, in train gpr_new.optimize('rprop') File "c:\Program Files\Blender Foundation\Blender 2.92\2.92\python\lib\site-packages\GPy\core\gp.py", line 659, in optimize ret = super(GP, self).optimize(optimizer, start, messages, max_iters, ipython_notebook, clear_after_finish, **kwargs) File "c:\Program Files\Blender Foundation\Blender 2.92\2.92\python\lib\site-packages\paramz\model.py", line 108, in optimize opt = optimizer(max_iters=max_iters, **kwargs) File "c:\Program Files\Blender Foundation\Blender 2.92\2.92\python\lib\site-packages\paramz\optimization\optimization.py", line 289, in __init__ _check_for_climin() File "c:\Program Files\Blender Foundation\Blender 2.92\2.92\python\lib\site-packages\paramz\optimization\optimization.py", line 248, in _check_for_climin import climin File "c:\Program Files\Blender Foundation\Blender 2.92\2.92\python\lib\site-packages\climin\__init__.py", line 14, in <module> ctypes.CDLL(os.path.join(basepath, 'core', 'libmmd.dll')) File "c:\Program Files\Blender Foundation\Blender 2.92\2.92\python\lib\ctypes\__init__.py", line 364, in __init__ self._handle = _dlopen(self._name, mode)
Any solution to this? Have you ever faced it?
I am using the Python Blender in Blender 2.92.
unable to add the pretrained model
Hi,
I added the pretrained model from KÁROLY ZSOLNAI-FEHÉR, but received following error:
ValueError:
Input 0 of layer dense_1 is incompatible with the layer: expected axis -1 of input shape to have value 10240 but received input with shape [None, 10752]
I replaced the cnn_architecture.json and cnn_weights.h5 with the pretrained model inside the gms folder.
How to automatically assign materials to a scene
Hello.
After reading your paper, while using this technology, I have a question about how to assign the recommended material to the scene.
Page 4 of the paper says "Automatic Workflow - randomly assign the materials to the selected objects in the scene (Figures 1 (right) and 3). This is ideal for mass-scale material synthesis, when hundreds of materials are sought."
How do I use these automated workflows?
It's been a while since you posted this repository, but I'd appreciate it if you could answer it.
google/protobuf error
Traceback (most recent call last):
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\scripts\modules\addon_utils.py", line 351, in enable
mod = __import__(module_name)
File "C:\Users\Ulf3000\AppData\Roaming\Blender Foundation\Blender\2.90\scripts\addons\material_recommender\__init__.py", line 23, in <module>
from . operators.preferences.generator import PreferencesListGenerator
File "C:\Users\Ulf3000\AppData\Roaming\Blender Foundation\Blender\2.90\scripts\addons\material_recommender\operators\preferences\generator.py", line 3, in <module>
from material_recommender.gms import cnn
File "C:\Users\Ulf3000\AppData\Roaming\Blender Foundation\Blender\2.90\scripts\addons\material_recommender\gms\cnn.py", line 11, in <module>
from keras import backend as K
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\keras\__init__.py", line 3, in <module>
from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 959, in _find_and_load_unlocked
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__
module = self._load()
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow\__init__.py", line 44, in _load
module = _importlib.import_module(self.__name__)
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow_core\__init__.py", line 42, in <module>
from . _api.v2 import audio
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow_core\_api\v2\audio\__init__.py", line 10, in <module>
from tensorflow.python.ops.gen_audio_ops import decode_wav
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow_core\python\ops\gen_audio_ops.py", line 9, in <module>
from tensorflow.python.eager import context as _context
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow_core\python\eager\context.py", line 29, in <module>
from tensorflow.core.protobuf import config_pb2
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\tensorflow_core\core\protobuf\config_pb2.py", line 7, in <module>
from google.protobuf import descriptor as _descriptor
File "C:\Program Files No Install\BLENDER\blender-2.90.0-9cbf43801ba2-windows64\2.90\python\lib\site-packages\google\protobuf\__init__.py", line 37, in <module>
__import__('pkg_resources').declare_namespace(__name__)
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 963, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 906, in _find_spec
File "<frozen importlib._bootstrap_external>", line 1280, in find_spec
File "<frozen importlib._bootstrap_external>", line 1254, in _get_spec
File "<frozen importlib._bootstrap_external>", line 1235, in _legacy_get_spec
File "<frozen importlib._bootstrap>", line 441, in spec_from_loader
File "<frozen importlib._bootstrap_external>", line 594, in spec_from_file_location
FileNotFoundError: [Errno 2] No such file or directory: 'H:\\Temp\\tmppi3ls4m9\\setuptools-41.2.0-py2.py3-none-any.whl'
from the blender output when i try to enable the addon , environment is conda python 3.7. no idea , is it supposed to download something can i manually solve this ?
ModuleNotFoundError: No module named 'material_recommender'
I created a new anaconda environment, installed the packages listed in the README file and verified that importing each of them worked, and then linked the new conda environment with Blender.
Unfortunately, when I try to install "material_recommender-master.zip" as an add-on in Blender, it fails with the following traceback:
Traceback (most recent call last):
File "/home/trevor/Pictures/blender/blender-2.83.8-linux64/2.83/scripts/modules/addon_utils.py", line 351, in enable
mod = __import__(module_name)
File "/home/trevor/.config/blender/2.83/scripts/addons/material_recommender-master/__init__.py", line 23, in <module>
from . operators.preferences.generator import PreferencesListGenerator
File "/home/trevor/.config/blender/2.83/scripts/addons/material_recommender-master/operators/preferences/generator.py", line 3, in <module>
from material_recommender.gms import cnn
ModuleNotFoundError: No module named 'material_recommender'
Reset existing models
I think it would be useful to add a button linked to an operator that deletes the existing saved models (gpr, gplvm) in the temporary folder.
Also using an already trained model (gpr, gplvm) without re-train in recommendation panel is actually not possible.
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