Comments (2)
error message
`Config / Flags:
config configs/kyara_rescaled.json
iter 5000
batch 10
spp 1
layers 1
train_res [512, 512]
display_res [512, 512]
texture_res [2048, 2048]
display_interval 0
save_interval 100
learning_rate [0.03, 0.01]
min_roughness 0.08
custom_mip False
random_textures True
background white
loss logl1
out_dir out/kyara
ref_mesh data/nerd/kyara
base_mesh None
validate True
mtl_override None
dmtet_grid 64
mesh_scale 2.5
env_scale 1.0
envmap None
display [{'bsdf': 'kd'}, {'bsdf': 'ks'}, {'bsdf': 'normal'}]
camera_space_light True
lock_light False
lock_pos False
sdf_regularizer 0.2
laplace relative
laplace_scale 10000.0
pre_load True
kd_min [0.03, 0.03, 0.03]
kd_max [0.8, 0.8, 0.8]
ks_min [0, 0.08, 0]
ks_max [0, 1.0, 1.0]
nrm_min [-1.0, -1.0, 0.0]
nrm_max [1.0, 1.0, 1.0]
cam_near_far [0.1, 1000.0]
learn_light True
local_rank 0
multi_gpu False
DatasetLLFF: 17 images with shape [512, 512]
DatasetLLFF: auto-centering at [-0.41304994 2.6057422 8.97906 ]
DatasetLLFF: 17 images with shape [512, 512]
DatasetLLFF: auto-centering at [-0.41304994 2.6057422 8.97906 ]
Encoder output: 32 dims
Traceback (most recent call last):
File "train.py", line 594, in
geometry, mat = optimize_mesh(glctx, geometry, mat, lgt, dataset_train, dataset_validate,
File "train.py", line 381, in optimize_mesh
for it, target in enumerate(dataloader_train):
File "/home/user/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 521, in next
data = self._next_data()
File "/home/user/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/user/torch/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
return self.collate_fn(data)
File "/home/user/torchtest/nvdiffrec/dataset/dataset.py", line 31, in collate
'img' : torch.cat(list([item['img'] for item in batch]), dim=0)
RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 4 but got size 5 for tensor number 1 in the list.`
from nvdiffrec.
It worked after correcting the bit depth
from nvdiffrec.
Related Issues (20)
- Help!Why is the resulting mesh of such poor quality HOT 3
- Train datasets
- Not able to learn specular and diffuse properties HOT 1
- What's the purpose of custom mipmap build function. HOT 2
- Add a how to cite! HOT 3
- Large gradient at mesh vertices HOT 1
- JSON parameter optimization for Mesh extraction HOT 2
- The results generated by the nerd dataset are poor HOT 4
- what's the poses_bounds.npy's data format HOT 3
- question about code details HOT 2
- is there any way to use multi lights? HOT 2
- How to train from a pre-defined mesh? HOT 2
- Creating a new bsdf_256_256.bin HOT 5
- util.rotate_x seems inverse from gl's right hand rule HOT 1
- Use DMTet on udf. HOT 2
- Why isn't the MLPTexture3D using the tcnn Network definition HOT 2
- OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root. Building PyTorch extension for tiny-cuda-nn version 1.7 Obtained compute capabilities [86] from environment variable TCNN_CUDA_ARCHITECTURES Detected CUDA version 11.6 Targeting C++ standard 17 [end of output] HOT 1
- Getting stuck during installation HOT 2
- Normal map for training HOT 2
- `groupshared` is not supported in slangtorch. HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from nvdiffrec.