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View Code? Open in Web Editor NEWGeneralizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance (ICCV2023)
Home Page: https://arteq.is.tue.mpg.de/
License: Other
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so3 sampling issues
Hi,
When I tried to run your training sample code, I got 2 issues.
First, I can't find ArtEq/external/vgtk/vgtk/data/anchors/sphere12.ply as needed in
ANCHOR_PATH = os.path.join(ROOT, 'data', 'anchors/sphere12.ply')
(in https://github.com/HavenFeng/ArtEq/blob/main/external/vgtk/vgtk/so3conv/functional.py )
So I just copy the sphere12.ply from other repo (https://github.com/dragonlong/equi-pose/blob/master/models/vgtk/data/anchors/sphere12.ply)
Second, After using that sphere12.ply file I got another error in https://github.com/HavenFeng/ArtEq/blob/main/external/vgtk/vgtk/functional/rotation.py
python src/train.py --EPN_input_radius 0.4 --EPN_layer_num 2 --aug_type so3 --batch_size 2 --epochs 15 --gt_part_seg auto --i 0 --kinematic_cond yes --num_point 5000
adj_idx: [array([[4, 1, 5]]), array([[0, 2]]), array([[1, 3]]), array([[2, 4, 8]]), array([[0, 3, 9]]), array([[ 0, 10]]), array([[11, 12]]), array([[12, 13]]), array([[ 3, 14]]), array([[ 4, 10, 14]]), array([[ 9, 5, 15]]), array([[ 6, 16]]), array([[ 6, 7, 17]]), array([[ 7, 18]]), array([[ 9, 8, 19]]), array([[10, 19, 16]]), array([[11, 15, 17]]), array([[12, 16, 18]]), array([[13, 17, 19]]), array([[14, 15, 18]])]
Traceback (most recent call last):
File "/home/Desktop/ArtEq/external/vgtk/vgtk/functional/rotation.py", line 259, in icosahedron_so3_trimesh
R_adj = get_adjmatrix_trimesh(mesh, gsize)
File "/home/Desktop/ArtEq/external/vgtk/vgtk/functional/rotation.py", line 128, in get_adjmatrix_trimesh
face_adj = np.vstack(adj_idx).astype(np.int32)
File "/home/anaconda3/envs/arteq/lib/python3.10/site-packages/numpy/core/shape_base.py", line 289, in vstack
return _nx.concatenate(arrs, 0, dtype=dtype, casting=casting)
ValueError: all the input array dimensions except for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3 and the array at index 1 has size 2
It seems like that the dimensions of some array in adj_idx are wrong so that they can't be stacked vertically but I'm not sure if it is the mesh file issue or code issue.
Thanks in advance!!
ModuleNotFoundError: No module named 'epn_grouping'
Failed to runt training. Here is the error
Traceback (most recent call last):
File "/home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/src/eval.py", line 12, in <module>
from models_pointcloud import PointCloud_network_equiv
File "/home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/src/models_pointcloud.py", line 9, in <module>
from so3conv import so3_mean
File "/home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/src/so3conv.py", line 4, in <module>
import vgtk.so3conv as sptk
File "/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/vgtk/__init__.py", line 3, in <module>
from . import pc
File "/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/vgtk/pc/__init__.py", line 4, in <module>
from .sample import *
File "/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/vgtk/pc/sample.py", line 5, in <module>
import epn_grouping as cuda_nn
ModuleNotFoundError: No module named 'epn_grouping
my conda installation
# packages in environment at /home/blinkdrive/anaconda3/envs/arteq:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
addict 2.4.0 pypi_0 pypi
asttokens 2.4.1 pypi_0 pypi
attrs 23.2.0 pypi_0 pypi
blas 1.0 mkl conda-forge
blinker 1.7.0 pypi_0 pypi
braceexpand 0.1.7 pypi_0 pypi
brotli-python 1.0.9 py310h6a678d5_7
bzip2 1.0.8 hd590300_5 conda-forge
c-ares 1.28.1 hd590300_0 conda-forge
ca-certificates 2024.3.11 h06a4308_0
ccimport 0.4.2 pypi_0 pypi
certifi 2024.2.2 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py310h2fee648_0 conda-forge
cfgv 3.3.1 pyhd8ed1ab_0 conda-forge
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.1.7 pypi_0 pypi
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.2.2 pypi_0 pypi
configargparse 1.7 pypi_0 pypi
contourpy 1.2.0 pypi_0 pypi
cpuonly 2.0 0 pytorch
cuda-cudart 11.8.89 0 nvidia
cuda-cupti 11.8.87 0 nvidia
cuda-libraries 11.8.0 0 nvidia
cuda-nvrtc 11.8.89 0 nvidia
cuda-nvtx 11.8.86 0 nvidia
cuda-runtime 11.8.0 0 nvidia
cumm 0.4.11 pypi_0 pypi
curl 8.7.1 hca28451_0 conda-forge
cycler 0.12.1 pypi_0 pypi
dash 2.16.1 pypi_0 pypi
dash-core-components 2.0.0 pypi_0 pypi
dash-html-components 2.0.0 pypi_0 pypi
dash-table 5.0.0 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
distlib 0.3.8 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.2.0 pypi_0 pypi
executing 2.0.1 pypi_0 pypi
fastjsonschema 2.19.1 pypi_0 pypi
ffmpeg 4.3 hf484d3e_0 pytorch
filelock 3.13.3 pyhd8ed1ab_0 conda-forge
fire 0.6.0 pypi_0 pypi
flask 3.0.2 pypi_0 pypi
fonttools 4.50.0 pypi_0 pypi
freetype 2.12.1 h4a9f257_0
fsspec 2024.3.1 pyhca7485f_0 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
git 2.44.0 pl5321h709897a_0 conda-forge
gmp 6.3.0 h59595ed_1 conda-forge
gmpy2 2.1.2 py310h3ec546c_1 conda-forge
gnutls 3.6.15 he1e5248_0
huggingface-hub 0.22.2 pypi_0 pypi
identify 2.5.35 pyhd8ed1ab_0 conda-forge
idna 3.4 py310h06a4308_0
importlib-metadata 7.1.0 pypi_0 pypi
intel-openmp 2022.1.0 h9e868ea_3769
ipython 8.23.0 pypi_0 pypi
ipywidgets 8.1.2 pypi_0 pypi
itsdangerous 2.1.2 pypi_0 pypi
jedi 0.19.1 pypi_0 pypi
jinja2 3.1.3 pyhd8ed1ab_0 conda-forge
joblib 1.3.2 pyhd8ed1ab_0 conda-forge
jpeg 9e h5eee18b_1
jsonschema 4.21.1 pypi_0 pypi
jsonschema-specifications 2023.12.1 pypi_0 pypi
jupyter-core 5.7.2 pypi_0 pypi
jupyterlab-widgets 3.0.10 pypi_0 pypi
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.5 pypi_0 pypi
krb5 1.21.2 h659d440_0 conda-forge
lame 3.100 h7b6447c_0
lark 1.1.9 pypi_0 pypi
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 3.0 h295c915_0
libblas 3.9.0 16_linux64_mkl conda-forge
libcblas 3.9.0 16_linux64_mkl conda-forge
libcublas 11.11.3.6 0 nvidia
libcufft 10.9.0.58 0 nvidia
libcufile 1.9.0.20 0 nvidia
libcurand 10.3.5.119 0 nvidia
libcurl 8.7.1 hca28451_0 conda-forge
libcusolver 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libdeflate 1.8 h7f8727e_5
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 hd590300_2 conda-forge
libexpat 2.6.2 h59595ed_0 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 13.2.0 h807b86a_5 conda-forge
libgfortran-ng 13.2.0 h69a702a_5 conda-forge
libgfortran5 13.2.0 ha4646dd_5 conda-forge
libgomp 13.2.0 h807b86a_5 conda-forge
libiconv 1.17 hd590300_2 conda-forge
libidn2 2.3.4 h5eee18b_0
libjpeg-turbo 2.0.0 h9bf148f_0 pytorch
liblapack 3.9.0 16_linux64_mkl conda-forge
libnghttp2 1.58.0 h47da74e_1 conda-forge
libnpp 11.8.0.86 0 nvidia
libnsl 2.0.1 hd590300_0 conda-forge
libnvjpeg 11.9.0.86 0 nvidia
libpng 1.6.39 h5eee18b_0
libsqlite 3.45.2 h2797004_0 conda-forge
libssh2 1.11.0 h0841786_0 conda-forge
libstdcxx-ng 13.2.0 h7e041cc_5 conda-forge
libtasn1 4.19.0 h5eee18b_0
libtiff 4.4.0 hecacb30_2
libunistring 0.9.10 h27cfd23_0
libuuid 2.38.1 h0b41bf4_0 conda-forge
libwebp-base 1.3.2 h5eee18b_0
libxcrypt 4.4.36 hd590300_1 conda-forge
libzlib 1.2.13 hd590300_5 conda-forge
llvm-openmp 15.0.7 h0cdce71_0 conda-forge
loguru 0.7.2 pypi_0 pypi
markupsafe 2.1.5 py310h2372a71_0 conda-forge
matplotlib 3.8.3 pypi_0 pypi
matplotlib-inline 0.1.6 pypi_0 pypi
mkl 2022.1.0 hc2b9512_224
mpc 1.3.1 hfe3b2da_0 conda-forge
mpfr 4.2.1 h9458935_0 conda-forge
mpmath 1.3.0 pyhd8ed1ab_0 conda-forge
nbformat 5.10.3 pypi_0 pypi
ncurses 6.4.20240210 h59595ed_0 conda-forge
nest-asyncio 1.6.0 pypi_0 pypi
nettle 3.7.3 hbbd107a_1
networkx 3.2.1 pyhd8ed1ab_0 conda-forge
ninja 1.11.1.1 pypi_0 pypi
nodeenv 1.8.0 pyhd8ed1ab_0 conda-forge
numpy 1.26.4 py310hb13e2d6_0 conda-forge
nvidia-cublas-cu11 11.11.3.6 pypi_0 pypi
nvidia-cuda-cupti-cu11 11.8.87 pypi_0 pypi
nvidia-cuda-nvrtc-cu11 11.8.89 pypi_0 pypi
nvidia-cuda-runtime-cu11 11.8.89 pypi_0 pypi
nvidia-cudnn-cu11 8.7.0.84 pypi_0 pypi
nvidia-cufft-cu11 10.9.0.58 pypi_0 pypi
nvidia-curand-cu11 10.3.0.86 pypi_0 pypi
nvidia-cusolver-cu11 11.4.1.48 pypi_0 pypi
nvidia-cusparse-cu11 11.7.5.86 pypi_0 pypi
nvidia-nccl-cu11 2.19.3 pypi_0 pypi
nvidia-nvtx-cu11 11.8.86 pypi_0 pypi
open3d 0.18.0 pypi_0 pypi
openh264 2.1.1 h4ff587b_0
openjpeg 2.4.0 h3ad879b_0
openssl 3.2.1 hd590300_1 conda-forge
packaging 24.0 pypi_0 pypi
pandas 2.2.1 pypi_0 pypi
parso 0.8.3 pypi_0 pypi
pccm 0.4.11 pypi_0 pypi
pcre2 10.43 hcad00b1_0 conda-forge
perl 5.32.1 7_hd590300_perl5 conda-forge
pexpect 4.9.0 pypi_0 pypi
pillow 10.2.0 py310h5eee18b_0
pip 24.0 pyhd8ed1ab_0 conda-forge
platformdirs 4.2.0 pyhd8ed1ab_0 conda-forge
plotly 5.20.0 pypi_0 pypi
plyfile 1.0.3 pyhd8ed1ab_0 conda-forge
portalocker 2.8.2 pypi_0 pypi
pre-commit 3.7.0 pyha770c72_0 conda-forge
prompt-toolkit 3.0.43 pypi_0 pypi
ptyprocess 0.7.0 pypi_0 pypi
pure-eval 0.2.2 pypi_0 pypi
pybind11 2.12.0 pypi_0 pypi
pycparser 2.22 pyhd8ed1ab_0 conda-forge
pygments 2.17.2 pypi_0 pypi
pyparsing 3.1.2 pypi_0 pypi
pyquaternion 0.9.9 pypi_0 pypi
pysocks 1.7.1 py310h06a4308_0
python 3.10.14 hd12c33a_0_cpython conda-forge
python-dateutil 2.9.0.post0 pypi_0 pypi
python_abi 3.10 4_cp310 conda-forge
pytorch-cuda 11.8 h7e8668a_5 pytorch
pytorch-mutex 1.0 cpu pytorch
pytorch-scatter 2.1.2 py310_torch_2.2.0_cu118 pyg
pytz 2024.1 pypi_0 pypi
pyyaml 6.0.1 py310h2372a71_1 conda-forge
readline 8.2 h8228510_1 conda-forge
referencing 0.34.0 pypi_0 pypi
requests 2.31.0 py310h06a4308_1
retrying 1.3.4 pypi_0 pypi
rpds-py 0.18.0 pypi_0 pypi
scikit-learn 1.4.1.post1 py310h1fdf081_0 conda-forge
scipy 1.12.0 py310hb13e2d6_2 conda-forge
setuptools 69.2.0 pyhd8ed1ab_0 conda-forge
six 1.16.0 pypi_0 pypi
smplx 0.1.28 pypi_0 pypi
spconv 2.3.6 pypi_0 pypi
stack-data 0.6.3 pypi_0 pypi
sympy 1.12 pypyh9d50eac_103 conda-forge
tenacity 8.2.3 pypi_0 pypi
termcolor 2.4.0 pypi_0 pypi
threadpoolctl 3.4.0 pyhc1e730c_0 conda-forge
tk 8.6.13 noxft_h4845f30_101 conda-forge
torch 2.2.1+cu118 pypi_0 pypi
torchaudio 2.2.1+cu118 pypi_0 pypi
torchvision 0.17.1+cu118 pypi_0 pypi
tqdm 4.66.2 pyhd8ed1ab_0 conda-forge
traitlets 5.14.2 pypi_0 pypi
trimesh 4.2.4 pyhd8ed1ab_0 conda-forge
triton 2.2.0 pypi_0 pypi
typing_extensions 4.10.0 pyha770c72_0 conda-forge
tzdata 2024.1 pypi_0 pypi
ukkonen 1.0.1 py310hd41b1e2_4 conda-forge
urllib3 2.1.0 py310h06a4308_1
vgtk 1.0 pypi_0 pypi
virtualenv 20.25.1 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.13 pypi_0 pypi
webdataset 0.2.86 pypi_0 pypi
werkzeug 3.0.2 pypi_0 pypi
wheel 0.43.0 pyhd8ed1ab_1 conda-forge
widgetsnbextension 4.0.10 pypi_0 pypi
xz 5.2.6 h166bdaf_0 conda-forge
yacs 0.1.8 pypi_0 pypi
yaml 0.2.5 h7f98852_2 conda-forge
zipp 3.18.1 pypi_0 pypi
zlib 1.2.13 hd590300_5 conda-forge
zstd 1.5.5 hfc55251_0 conda-forge
my GPU and driver
Mon Apr 1 21:58:07 2024
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.147.05 Driver Version: 525.147.05 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:09:00.0 On | N/A |
| 0% 49C P8 39W / 370W | 558MiB / 24576MiB | 15% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
Pytorch installed
~/Documents/UNT/Project/Spring 2024/02ArtEq$ python -c "import torch; print('PyTorch version:', torch.__version__); print('CUDA available:', torch.cuda.is_available()); print('CUDA version:', torch.version.cuda)"
PyTorch version: 2.2.1+cu118
CUDA available: True
CUDA version: 11.8
numerical instabilities & occlusion
Hi
Thanks for your amazing work. Arteq is able to really provide quickly better performance compared to other baselines. I had two questions related to your repo.
I noticed that in your training script you manually set to zero any gradient that would be nan and indeed some nans occur time to time during training. Do you have any ideas where they could from ?
Also on a side note, after some experiment and training, I observed that arteq seems to work even on partial point clouds (for example front view like depth map from stereo images) but struggles more when it comes to a complete temporary occlusion for example an obstacle hiding the whole elbows. Do you have any suggestions at training time as how to improve its performance in this kind of situation ? For example would conditioning pose estimation to its parent but also grand-parent or even child make sense ?
Thanks in advance and again congratulation for your great work.
Failed to install the environment (vgtk)
Failed to install environment. The installation halted at vgtk.
Please, help.
(base) blinkdrive@blinkdrive-System-Product-Name:~/Documents/UNT/Project/Spring 2024/02ArtEq$ conda env create -f environment.yml
Channels:
- nvidia
- pytorch
- conda-forge
- defaults
- pyg
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Installing pip dependencies: // Ran pip subprocess with arguments:
['/home/blinkdrive/anaconda3/envs/arteq/bin/python', '-m', 'pip', 'install', '-U', '-r', '/home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt', '--exists-action=b']
Pip subprocess output:
Obtaining file:///home/blinkdrive/Documents/UNT/Project/Spring%202024/02ArtEq/external/vgtk/vgtk (from -r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 4))
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Obtaining file:///home/blinkdrive/Documents/UNT/Project/Spring%202024/02ArtEq/external/vgtk (from -r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 5))
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Collecting yacs (from -r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 1))
Using cached yacs-0.1.8-py3-none-any.whl.metadata (639 bytes)
Collecting smplx (from -r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2))
Using cached smplx-0.1.28-py3-none-any.whl.metadata (10 kB)
Collecting webdataset (from -r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 3))
Using cached webdataset-0.2.86-py3-none-any.whl.metadata (29 kB)
Requirement already satisfied: PyYAML in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from yacs->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 1)) (6.0.1)
Requirement already satisfied: numpy>=1.16.2 in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (1.26.4)
Requirement already satisfied: torch>=1.0.1.post2 in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (2.2.2)
Collecting braceexpand (from webdataset->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 3))
Using cached braceexpand-0.1.7-py2.py3-none-any.whl.metadata (3.0 kB)
Requirement already satisfied: filelock in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (3.13.4)
Requirement already satisfied: typing-extensions>=4.8.0 in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (4.11.0)
Requirement already satisfied: sympy in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (1.12)
Requirement already satisfied: networkx in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (3.3)
Requirement already satisfied: jinja2 in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (3.1.3)
Collecting fsspec (from torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2))
Using cached fsspec-2024.3.1-py3-none-any.whl.metadata (6.8 kB)
Requirement already satisfied: MarkupSafe>=2.0 in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from jinja2->torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (2.1.5)
Requirement already satisfied: mpmath>=0.19 in /home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages (from sympy->torch>=1.0.1.post2->smplx->-r /home/blinkdrive/Documents/UNT/Project/Spring 2024/02ArtEq/condaenv.n500gehv.requirements.txt (line 2)) (1.3.0)
Using cached yacs-0.1.8-py3-none-any.whl (14 kB)
Using cached smplx-0.1.28-py3-none-any.whl (29 kB)
Using cached webdataset-0.2.86-py3-none-any.whl (70 kB)
Using cached braceexpand-0.1.7-py2.py3-none-any.whl (5.9 kB)
Using cached fsspec-2024.3.1-py3-none-any.whl (171 kB)
Installing collected packages: vgtk, se3-gconv, braceexpand, yacs, webdataset, fsspec, smplx
Running setup.py develop for vgtk
Running setup.py develop for se3-gconv
Pip subprocess error:
error: subprocess-exited-with-error
× python setup.py develop did not run successfully.
│ exit code: 1
╰─> [37 lines of output]
running develop
/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/setuptools/command/develop.py:40: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!
********************************************************************************
Please avoid running ``setup.py`` and ``easy_install``.
Instead, use pypa/build, pypa/installer or other
standards-based tools.
See https://github.com/pypa/setuptools/issues/917 for details.
********************************************************************************
!!
easy_install.initialize_options(self)
/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!
********************************************************************************
Please avoid running ``setup.py`` directly.
Instead, use pypa/build, pypa/installer or other
standards-based tools.
See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
********************************************************************************
!!
self.initialize_options()
running egg_info
creating se3_gconv.egg-info
writing se3_gconv.egg-info/PKG-INFO
writing dependency_links to se3_gconv.egg-info/dependency_links.txt
writing top-level names to se3_gconv.egg-info/top_level.txt
writing manifest file 'se3_gconv.egg-info/SOURCES.txt'
reading manifest file 'se3_gconv.egg-info/SOURCES.txt'
writing manifest file 'se3_gconv.egg-info/SOURCES.txt'
running build_ext
error: [Errno 2] No such file or directory: '/usr/local/cuda-11.3/bin/nvcc'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× python setup.py develop did not run successfully.
│ exit code: 1
╰─> [37 lines of output]
running develop
/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/setuptools/command/develop.py:40: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!
********************************************************************************
Please avoid running ``setup.py`` and ``easy_install``.
Instead, use pypa/build, pypa/installer or other
standards-based tools.
See https://github.com/pypa/setuptools/issues/917 for details.
********************************************************************************
!!
easy_install.initialize_options(self)
/home/blinkdrive/anaconda3/envs/arteq/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!
********************************************************************************
Please avoid running ``setup.py`` directly.
Instead, use pypa/build, pypa/installer or other
standards-based tools.
See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
********************************************************************************
!!
self.initialize_options()
running egg_info
creating se3_gconv.egg-info
writing se3_gconv.egg-info/PKG-INFO
writing dependency_links to se3_gconv.egg-info/dependency_links.txt
writing top-level names to se3_gconv.egg-info/top_level.txt
writing manifest file 'se3_gconv.egg-info/SOURCES.txt'
reading manifest file 'se3_gconv.egg-info/SOURCES.txt'
writing manifest file 'se3_gconv.egg-info/SOURCES.txt'
running build_ext
error: [Errno 2] No such file or directory: '/usr/local/cuda-11.3/bin/nvcc'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
failed
CondaEnvException: Pip failed
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