about version of python library #9
Comments
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Thanks for your attention. I list my environment dependency as below: |
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Also, you need to add mmcv register to spconv library file as done here. |
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I have a try. |
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I list my environment dependency as below: Package Version Editable project location
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absl-py 1.4.0
addict 2.4.0
anyio 3.6.2
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
astor 0.8.1
asynctest 0.13.0
attrs 22.2.0
backcall 0.2.0
beautifulsoup4 4.12.2
black 23.3.0
bleach 6.0.0
cachetools 4.2.4
ccimport 0.3.7
certifi 2022.12.7
cffi 1.15.1
charset-normalizer 3.1.0
click 8.1.3
codecov 2.1.12
colorama 0.4.6
ConfigArgParse 1.5.3
coverage 7.2.3
cumm-cu111 0.2.9
cycler 0.11.0
Cython 0.29.34
dash 2.9.2
dash-core-components 2.0.0
dash-html-components 2.0.0
dash-table 5.0.0
debugpy 1.6.7
decorator 5.1.1
defusedxml 0.7.1
descartes 1.1.0
entrypoints 0.4
exceptiongroup 1.1.1
fastjsonschema 2.16.3
filelock 3.11.0
fire 0.5.0
flake8 5.0.4
Flask 2.2.3
fonttools 4.38.0
gast 0.2.2
google-auth 1.35.0
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
grpcio 1.53.0
h5py 3.8.0
huggingface-hub 0.13.4
idna 3.4
imageio 2.27.0
importlib-metadata 4.2.0
importlib-resources 5.12.0
iniconfig 2.0.0
interrogate 1.5.0
ipdb 0.13.13
ipykernel 6.16.2
ipython 7.34.0
ipython-genutils 0.2.0
ipywidgets 8.0.6
isort 5.11.5
itsdangerous 2.1.2
jedi 0.18.2
Jinja2 3.1.2
joblib 1.2.0
jsonschema 4.17.3
jupyter 1.0.0
jupyter_client 7.4.9
jupyter-console 6.6.3
jupyter_core 4.12.0
jupyter-server 1.23.6
jupyterlab-pygments 0.2.2
jupyterlab-widgets 3.0.7
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
kiwisolver 1.4.4
kwarray 0.6.10
lark 1.1.5
llvmlite 0.31.0
lyft-dataset-sdk 0.0.8
Markdown 3.3.4
MarkupSafe 2.1.2
matplotlib 3.5.2
matplotlib-inline 0.1.6
mccabe 0.7.0
mistune 2.0.5
mmcv-full 1.3.0
mmdet 2.10.0
mmdet3d 0.11.0 /mnt/projects/MSMDFusion
mmpycocotools 12.0.3
mypy-extensions 1.0.0
nbclassic 0.5.5
nbclient 0.7.3
nbconvert 7.3.0
nbformat 5.7.0
nest-asyncio 1.5.6
networkx 2.2
ninja 1.11.1
notebook 6.5.4
notebook_shim 0.2.2
numba 0.48.0
numpy 1.19.5
nuscenes-devkit 1.1.10
oauthlib 3.2.2
open3d 0.17.0
opencv-python 4.4.0.44
opt-einsum 3.3.0
packaging 23.0
pandas 1.3.5
pandocfilters 1.5.0
parso 0.8.3
pathspec 0.11.1
pccm 0.3.4
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.4.0
pip 22.3.1
pkgutil_resolve_name 1.3.10
platformdirs 3.2.0
plotly 5.14.1
pluggy 1.0.0
plyfile 0.8.1
portalocker 2.7.0
prometheus-client 0.16.0
prompt-toolkit 3.0.38
protobuf 3.20.1
psutil 5.9.4
ptyprocess 0.7.0
py 1.11.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pybind11 2.10.4
pycodestyle 2.9.1
pycparser 2.21
pyflakes 2.5.0
Pygments 2.14.0
pyparsing 3.0.9
pyquaternion 0.9.9
pyrsistent 0.19.3
pytest 7.2.2
pytest-cov 4.0.0
pytest-runner 6.0.0
python-dateutil 2.8.2
pytz 2023.3
PyWavelets 1.3.0
PyYAML 6.0
pyzmq 25.0.2
qtconsole 5.4.2
QtPy 2.3.1
requests 2.28.2
requests-oauthlib 1.3.1
rsa 4.9
scikit-image 0.19.3
scikit-learn 1.0.2
scipy 1.4.1
Send2Trash 1.8.0
setuptools 56.1.0
Shapely 1.8.5
six 1.16.0
sniffio 1.3.0
soupsieve 2.4
spconv-cu111 2.1.21
tabulate 0.9.0
tenacity 8.2.2
tensorboard 2.1.1
tensorflow-estimator 2.1.0
tensorflow-gpu 2.1.0
termcolor 2.2.0
terminado 0.17.1
terminaltables 3.1.10
threadpoolctl 3.1.0
tifffile 2021.11.2
timm 0.6.13
tinycss2 1.2.1
toml 0.10.2
tomli 2.0.1
torch 1.9.1+cu111
torch-scatter 2.0.9
torchaudio 0.9.1
torchvision 0.10.1+cu111
tornado 6.2
tqdm 4.65.0
traitlets 5.9.0
trimesh 2.35.39
typed-ast 1.5.4
typing_extensions 4.5.0
ubelt 1.2.4
urllib3 1.26.15
waymo-open-dataset-tf-2-1-0 1.2.0
wcwidth 0.2.6
webencodings 0.5.1
websocket-client 1.5.1
Werkzeug 2.2.3
wheel 0.38.4
widgetsnbextension 4.0.7
wrapt 1.15.0
xdoctest 1.1.1
yapf 0.32.0
zipp 3.15.0 |
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Thanks for your timely feedback. The above errors are caused by my previous tryouts. You can just delete codes related to importing CB-Swin backbone. And I will update the repository to fix this bug. |
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You can refer to this submission to modify relevant codes. |
Besides, I notice you would like to train the first stage of TransFusion-L. Please do not forget to switch fade strategy. For more details, you can refer to this |
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Thank you for your excellent work, I had this problem while installing: KeyError: 'Unrecognized norm type SubMConv3d'. My spconv-cu111==2.1.21. All my environments are: Name Version Build Channel_libgcc_mutex 0.1 main |
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Can you provide more specific error information? |
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2023-04-08 15:46:30,735 - mmdet - INFO - Set random seed to 0, deterministic: False During handling of the above exception, another exception occurred: Traceback (most recent call last): During handling of the above exception, another exception occurred: Traceback (most recent call last): |
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Please refer to this answer to add mmcv register into the spconv library. |
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Thank you very much. I overlooked that |
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@jiumozhi123 @Gmonster-24 I close this issue since it seems you have succeeded run our model. If you have any questions, please submit a new issue. |
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@SxJyJay @Gmonster-24 |
First, locate the "conv.py" file in your installed spconv library, for example, the path of this file seems like "~/anaconda3/envs/msmd/lib/python3.8/site-packages/spconv/pytorch/conv.py". Then, you can modify that the "conv.py" file following this example |
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@SxJyJay Thanks for your reply! How can I use the TTA version for training and testing? |
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TTA(Test-Time Augmentation) is used only during the testing which ensembles predictions generated from input with different data augmentation. You can refer to issue 3 for more details. |
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Hello, if possible, can you disclose the TTA source code? |
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@SxJyJay Thanks for your reply! When I try to use the model for testing, this error happens. It seems that you didn't upload the TTA data for the test set. Could you please upload them? Thanks. |
Thanks for your update! I searched on my server but cannot find virtual points for test set. I need to remake them these days. You can first test your improvements on nuScenes val set. From my experience, the improvements on val and test set are consistent, and tuning your model only on the training set rather than training+val set is more efficient. |
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你好，我想复现您的代码，但是遇到了一些问题，我似乎无法成功编译mmdet3d。我的python库如下。 Name Version Build Channelabsl-py 1.4.0 pypi_0 pypi 我在使用mmdet==2.10.0时代码提示要使用mmcv-full>1.3.4，所以我用了mmcv-full=1.4.0我不知道这是不是因为我用的是windows的原因。 ERROR: Can't roll back mmdet3d; was not uninstalled × python setup.py develop did not run successfully. note: This error originates from a subprocess, and is likely not a problem with pip. 如果您能在百忙中解答我的疑惑我将万分感谢。 |
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It seems that your CUDA toolkit is not complete because "cuda_runtime_api.h" file is missing. In addition, I recommend you to set up your environment and codebase on the Linux platform. |
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`Using pip 22.3.1 from /root/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/pip (python 3.7) error: subprocess-exited-with-error × python setup.py develop did not run successfully. note: This error originates from a subprocess, and is likely not a problem with pip.` |
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hello , i also meet some problem when i pip install -v -e . ,coulud u help me about this |
Maybe you can refer to here. If cannot make it, I suggest that you reinstall your environment following the library versions I provided. |
Hello, have you trained this model? I'm using A800 here but still not enough to train. If you've trained, can you give me an answer to the reason for my lack of memory here, thank you |
Hi, Thanks for your open-source code, I'm trying to reappear your code.
Although I complete the preprocess of nuscenes, I failed in training stage due to the unknown version of python library.
Could you provide the current version of cuda, python, pytorch, torch-scatter, mmcv-full, mmdetection, spconv-2 in MSMDFusion?
Thanks a lot!
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