Comments (4)
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)"
from hdmapnet.
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
from hdmapnet.
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?
from hdmapnet.
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.
from hdmapnet.
Related Issues (20)
- lost intrins in IPM transformation HOT 2
- vis_segmentation_label.py AttributeError: 'Tensor' object has no attribute 'astype' HOT 2
- Is there anyway to get the World Coordinates from predicted BEV?
- XIO: fatal IO error 0 (Success) on X server "localhost:10.0"
- Is there any wrong with eval_iou()? HOT 6
- 'instance_seg' and 'direction_pred' both use 'self.up1_embedded.' is it intended?
- Are the HDMaPNet results from the validation set or the nuscene test set?
- The vectorized visualization results are very bad, but the training accuracy is close to the accuracy proposed in the paper。 HOT 3
- problem while evaluating
- How to predict new Data set HOT 2
- result visualization HOT 2
- trouble installing torch==1.10.2+cu113 torchaudio==0.10.2+cu113 torchvision==0.11.3+cu113 HOT 1
- question about cameras extrinsics, is the plane generated from z_pitch_yaw better ?
- what dose the **sort_points_by_dist** function do
- vis_label.py not working HOT 2
- whether the trained weights has been released? HOT 1
- How to reproduce mAP?
- 关于测试地图分割结果的问题 HOT 1
- Pytorch version does not exist
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 hdmapnet.