gdrnpp_bop2022
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Published
20 hours ago •
shanice-l
shanice-l
pose_refine environment
Hi! The envornment.yaml file does not seem to be doing the job, I'm getting a lot of errors. Some packages on there don't specify versions, which is causing the issues. I've tried various versions of the packages but could not find the right combination. Can you share a more detailed list of the packages than the yaml file? It would also be great if you can share the anaconda environment using conda-pack
Hi jrahim, I had some trouble creating the refine environment. With python 3.8 and cuda 11.7 I installed all packages in environment.yaml by hand using pip or conda. (What is your cuda version ?)
Here are the conda package list with associated version and channel for installation. Hope it helps.
# packages in environment at /home/jmoquet/anaconda3/envs/refine:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
absl-py 1.4.0 pypi_0 pypi
blas 1.0 mkl
brotlipy 0.7.0 py38h27cfd23_1003
bzip2 1.0.8 h7b6447c_0
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.9.24 ha878542_0 conda-forge
cachetools 4.2.4 pypi_0 pypi
cairo 1.16.0 hcf35c78_1003 conda-forge
certifi 2022.9.24 pyhd8ed1ab_0 conda-forge
cffi 1.15.0 py38h7f8727e_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
colored-traceback 0.3.0 pypi_0 pypi
contourpy 1.0.7 pypi_0 pypi
cryptography 38.0.4 py38h9ce1e76_0
cuda 11.7.1 0 nvidia
cuda-cccl 11.7.91 0 nvidia
cuda-command-line-tools 11.7.1 0 nvidia
cuda-compiler 11.7.1 0 nvidia
cuda-cudart 11.7.99 0 nvidia
cuda-cudart-dev 11.7.99 0 nvidia
cuda-cuobjdump 11.7.91 0 nvidia
cuda-cupti 11.7.101 0 nvidia
cuda-cuxxfilt 11.7.91 0 nvidia
cuda-demo-suite 12.0.140 0 nvidia
cuda-documentation 12.0.140 0 nvidia
cuda-driver-dev 11.7.99 0 nvidia
cuda-gdb 12.0.140 0 nvidia
cuda-libraries 11.7.1 0 nvidia
cuda-libraries-dev 11.7.1 0 nvidia
cuda-memcheck 11.8.86 0 nvidia
cuda-nsight 12.0.140 0 nvidia
cuda-nsight-compute 12.0.1 0 nvidia
cuda-nvcc 11.7.99 0 nvidia
cuda-nvdisasm 12.0.140 0 nvidia
cuda-nvml-dev 11.7.91 0 nvidia
cuda-nvprof 12.0.146 0 nvidia
cuda-nvprune 11.7.91 0 nvidia
cuda-nvrtc 11.7.99 0 nvidia
cuda-nvrtc-dev 11.7.99 0 nvidia
cuda-nvtx 11.7.91 0 nvidia
cuda-nvvp 12.0.146 0 nvidia
cuda-runtime 11.7.1 0 nvidia
cuda-sanitizer-api 12.0.140 0 nvidia
cuda-toolkit 11.7.1 0 nvidia
cuda-tools 11.7.1 0 nvidia
cuda-visual-tools 11.7.1 0 nvidia
cycler 0.11.0 pypi_0 pypi
dbus 1.13.6 hfdff14a_1 conda-forge
expat 2.4.8 h27087fc_0 conda-forge
fastcore 1.5.28 pypi_0 pypi
ffmpeg 4.3.2 h37c90e5_3 conda-forge
flit-core 3.6.0 pyhd3eb1b0_0
fontconfig 2.14.0 hc2a2eb6_1 conda-forge
fonttools 4.38.0 pypi_0 pypi
freetype 2.12.1 h4a9f257_0
fvcore 0.1.5.post20221221 pypi_0 pypi
gds-tools 1.5.1.14 0 nvidia
gettext 0.21.1 h27087fc_0 conda-forge
giflib 5.2.1 h5eee18b_1
gin-config 0.5.0 pypi_0 pypi
glib 2.66.3 h58526e2_0 conda-forge
gmp 6.2.1 h295c915_3
gnutls 3.6.15 he1e5248_0
google-auth 1.35.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
graphite2 1.3.13 h58526e2_1001 conda-forge
grpcio 1.51.1 pypi_0 pypi
gst-plugins-base 1.14.5 h0935bb2_2 conda-forge
gstreamer 1.14.5 h36ae1b5_2 conda-forge
harfbuzz 2.4.0 h9f30f68_3 conda-forge
hdf5 1.12.1 nompi_h2386368_104 conda-forge
icu 64.2 he1b5a44_1 conda-forge
idna 3.4 py38h06a4308_0
imageio 2.25.0 pypi_0 pypi
importlib-metadata 6.0.0 pypi_0 pypi
intel-openmp 2021.4.0 h06a4308_3561
iopath 0.1.10 pypi_0 pypi
jasper 1.900.1 h07fcdf6_1006 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
joblib 1.2.0 pypi_0 pypi
jpeg 9e h7f8727e_0
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.4 pypi_0 pypi
krb5 1.19.3 h3790be6_0 conda-forge
lame 3.100 h7b6447c_0
lcms2 2.12 h3be6417_0
lerc 3.0 h295c915_0
libblas 3.9.0 12_linux64_mkl conda-forge
libcblas 3.9.0 12_linux64_mkl conda-forge
libclang 9.0.1 default_hb4e5071_5 conda-forge
libcublas 11.10.3.66 0 nvidia
libcublas-dev 11.10.3.66 0 nvidia
libcufft 10.7.2.124 h4fbf590_0 nvidia
libcufft-dev 10.7.2.124 h98a8f43_0 nvidia
libcufile 1.5.1.14 0 nvidia
libcufile-dev 1.5.1.14 0 nvidia
libcurand 10.3.1.124 0 nvidia
libcurand-dev 10.3.1.124 0 nvidia
libcurl 7.86.0 h7bff187_1 conda-forge
libcusolver 11.4.0.1 0 nvidia
libcusolver-dev 11.4.0.1 0 nvidia
libcusparse 11.7.4.91 0 nvidia
libcusparse-dev 11.7.4.91 0 nvidia
libdeflate 1.8 h7f8727e_5
libedit 3.1.20221030 h5eee18b_0
libev 4.33 h516909a_1 conda-forge
libffi 3.2.1 hf484d3e_1007
libgcc-ng 12.2.0 h65d4601_19 conda-forge
libgfortran-ng 12.2.0 h69a702a_19 conda-forge
libgfortran5 12.2.0 h337968e_19 conda-forge
libglib 2.66.3 hbe7bbb4_0 conda-forge
libgomp 12.2.0 h65d4601_19 conda-forge
libiconv 1.16 h7f8727e_2
libidn2 2.3.2 h7f8727e_0
liblapack 3.9.0 12_linux64_mkl conda-forge
liblapacke 3.9.0 12_linux64_mkl conda-forge
libllvm9 9.0.1 default_hc23dcda_7 conda-forge
libnghttp2 1.47.0 h727a467_0 conda-forge
libnpp 11.7.4.75 0 nvidia
libnpp-dev 11.7.4.75 0 nvidia
libnvjpeg 11.8.0.2 0 nvidia
libnvjpeg-dev 11.8.0.2 0 nvidia
libopencv 4.5.3 py38hafa78d9_3 conda-forge
libpng 1.6.37 hbc83047_0
libprotobuf 3.18.1 h780b84a_0 conda-forge
libssh2 1.10.0 haa6b8db_3 conda-forge
libstdcxx-ng 11.2.0 h1234567_1
libtasn1 4.16.0 h27cfd23_0
libtiff 4.3.0 h6f004c6_2 conda-forge
libunistring 0.9.10 h27cfd23_0
libuuid 2.32.1 h7f98852_1000 conda-forge
libwebp 1.2.4 h11a3e52_0
libwebp-base 1.2.4 h5eee18b_0
libxcb 1.13 h7f98852_1004 conda-forge
libxkbcommon 0.10.0 he1b5a44_0 conda-forge
libxml2 2.9.10 hee79883_0 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
lietorch 0.2 pypi_0 pypi
lz4-c 1.9.4 h6a678d5_0
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.2 pypi_0 pypi
matplotlib 3.6.3 pypi_0 pypi
mkl 2021.4.0 h06a4308_640
mkl-service 2.4.0 py38h7f8727e_0
mkl_fft 1.3.1 py38hd3c417c_0
mkl_random 1.2.2 py38h51133e4_0
ncurses 6.4 h6a678d5_0
nettle 3.7.3 hbbd107a_1
ninja 1.11.1 pypi_0 pypi
nsight-compute 2022.4.1.6 0 nvidia
nspr 4.32 h9c3ff4c_1 conda-forge
nss 3.59 h2c00c37_0 conda-forge
numpy 1.23.5 py38h14f4228_0
numpy-base 1.23.5 py38h31eccc5_0
oauthlib 3.2.2 pypi_0 pypi
opencv 4.5.3 py38h578d9bd_3 conda-forge
openh264 2.1.1 h4ff587b_0
openssl 1.1.1s h166bdaf_0 conda-forge
packaging 23.0 pypi_0 pypi
pandas 1.3.0 pypi_0 pypi
pcre 8.45 h9c3ff4c_0 conda-forge
pillow 9.3.0 py38h6a678d5_2
pip 22.3.1 py38h06a4308_0
pixman 0.38.0 h516909a_1003 conda-forge
plyfile 0.7.4 pypi_0 pypi
portalocker 2.7.0 pypi_0 pypi
protobuf 3.20.3 pypi_0 pypi
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
py-opencv 4.5.3 py38he5a9106_3 conda-forge
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycocotools 2.0.6 pypi_0 pypi
pycparser 2.21 pyhd3eb1b0_0
pygments 2.14.0 pypi_0 pypi
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.9 pypi_0 pypi
pypng 0.20220715.0 pypi_0 pypi
pysocks 1.7.1 py38h06a4308_0
python 3.8.0 h0371630_2
python-dateutil 2.8.2 pypi_0 pypi
python_abi 3.8 2_cp38 conda-forge
pytorch 1.13.1 py3.8_cuda11.7_cudnn8.5.0_0 pytorch
pytorch-cuda 11.7 h67b0de4_1 pytorch
pytorch-mutex 1.0 cuda pytorch
pytorch3d 0.7.2 pypi_0 pypi
pytz 2022.7.1 pypi_0 pypi
pyyaml 6.0 pypi_0 pypi
qt 5.12.5 hd8c4c69_1 conda-forge
readline 7.0 h7b6447c_5
requests 2.28.1 py38h06a4308_0
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scipy 1.10.0 pypi_0 pypi
setuptools 65.6.3 py38h06a4308_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.33.0 h62c20be_0
tabulate 0.9.0 pypi_0 pypi
tensorboard 2.6.0 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
termcolor 2.2.0 pypi_0 pypi
tk 8.6.12 h1ccaba5_0
torch-scatter 2.1.0 pypi_0 pypi
torchaudio 0.13.1 py38_cu117 pytorch
torchvision 0.14.1 py38_cu117 pytorch
tqdm 4.64.1 pypi_0 pypi
transform3d 0.0.4 pypi_0 pypi
transforms3d 0.4.1 pypi_0 pypi
typing_extensions 4.4.0 py38h06a4308_0
urllib3 1.26.14 py38h06a4308_0
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
x264 1!161.3030 h7f98852_1 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.7.2 h7f98852_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h7f98852_1 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xz 5.2.10 h5eee18b_1
yacs 0.1.8 pypi_0 pypi
zipp 3.12.1 pypi_0 pypi
zlib 1.2.13 h166bdaf_4 conda-forge
zstd 1.5.2 ha4553b6_0
@mqtjean Thank you for your response. I was able to configure an environment by hand as well. I am now trying to train, and get this error:
FileNotFoundError: [Errno 2] No such file or directory: 'model_weights/detector/detector-bop-itodd-pbr--509908/config.yaml' In call to configurable 'load_detector' (<function load_detector at 0x7fef1e5d6670>)
Did you get this? The pretrained models available on onedrive dont have the detector files
@jrahim it's a pretrained-model file that is downloadable, should be somewhere on this repo but otherwise, you can download them from the Coupled-Iterative-Refinement repo : https://github.com/princeton-vl/coupled-iterative-refinement . It points to this address to download the weights config : https://drive.google.com/drive/folders/125zNrPFRstkq8pTIaztJc6JmBU7kSNhp
