Open GoroYeh-HRI opened 5 months ago
Hi there, thanks for the nice code. I encountered similar issue while trying to run requirement.txt. After manually installed torch and torch-scatter, I run the vis_label file and got the error message "Segmentation fault (core dumped)"
I finally built a docker image and train in the container. Although I got very bad training result and not able to reproduce the paper reported IoU, sharing my Dockerfile here:
FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-devel
# Copy the requirements file into the container
COPY requirement.txt .
# Install the required packages
RUN pip3 install -r requirement.txt
I need to change the requirement.txt
to the following to be able to build an run the image:
addict==2.4.0
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.0.5
attrs==21.4.0
backcall==0.2.0
black==22.1.0
bleach==4.1.0
cachetools==5.0.0
certifi==2021.10.8
cffi==1.15.0
click==8.0.4
cycler==0.11.0
debugpy==1.5.1
decorator==5.1.1
defusedxml==0.7.1
descartes==1.1.0
efficientnet-pytorch==0.7.1
entrypoints==0.4
executing==0.8.2
fire==0.4.0
fonttools==4.29.1
importlib-resources==5.4.0
ipdb==0.13.9
ipykernel==6.9.1
ipython==8.0.1
ipython-genutils==0.2.0
ipywidgets==7.6.5
jedi==0.18.1
Jinja2==3.0.3
joblib==1.1.0
jsonschema==4.4.0
jupyter==1.0.0
jupyter-client==7.1.2
jupyter-console==6.4.0
jupyter-core==4.9.2
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.0.2
kiwisolver==1.3.2
MarkupSafe==2.1.0
matplotlib==3.5.1
matplotlib-inline==0.1.3
mistune==0.8.4
mmcv==1.4.5
mypy-extensions==0.4.3
nbclient==0.5.11
nbconvert==6.4.2
nbformat==5.1.3
nest-asyncio==1.5.4
notebook==6.4.8
numpy==1.22.2
nuscenes-devkit==1.1.9
opencv-python==4.5.5.62
packaging==21.3
pandocfilters==1.5.0
parso==0.8.3
pathspec==0.9.0
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.0.1
platformdirs==2.5.1
prometheus-client==0.13.1
prompt-toolkit==3.0.28
protobuf==3.19.4
ptyprocess==0.7.0
pure-eval==0.2.2
pycparser==2.21
Pygments==2.11.2
pyparsing==3.0.7
pyquaternion==0.9.9
pyrsistent==0.18.1
python-dateutil==2.8.2
PyYAML==6.0
pyzmq==22.3.0
qtconsole==5.2.2
QtPy==2.0.1
scikit-learn==1.0.2
scipy==1.8.0
Send2Trash==1.8.0
Shapely==1.8.1.post1
six==1.16.0
stack-data==0.2.0
tensorboardX==2.4.1
termcolor==1.1.0
terminado==0.13.1
testpath==0.5.0
threadpoolctl==3.1.0
toml==0.10.2
tomli==2.0.1
torch==1.10.2
torch-scatter==2.0.9
torchaudio==0.10.2
torchvision==0.11.3
tornado==6.1
tqdm==4.62.3
traitlets==5.1.1
typing_extensions==4.1.1
wcwidth==0.2.5
webencodings==0.5.1
widgetsnbextension==3.5.2
yapf==0.32.0
zipp==3.7.0
Same error, I met ImportError: cannot import name 'packaging' from 'pkg_resources' (miniconda3/envs/hdmap/lib/python3.9/site-packages/pkg_resources/__init__.py)
,
what is your python version?
Hi there, thanks for the nice code. I encountered similar issue while trying to run requirement.txt. After manually installed torch and torch-scatter, I run the vis_label file and got the error message "Segmentation fault (core dumped)"
It may be that your RAM is full. I will try your method and update here if the same error happens.
HI, as mentioned in the title, I'm not able to install the specified
requirement.txt
thus not able to run this codebase. Could you provide a docker image for us to run your code? I appreciate your effort a lot.