MSMDFusion
MSMDFusion copied to clipboard
SxJyJay
Running demo.py and AttributeError: module 'pycocotools' has no attribute '__version__'
Checklist
- I have searched related issues but cannot get the expected help.
- The bug has not been fixed in the latest version.
Describe the bug
AttributeError: module 'pycocotools' has no attribute '__version__'
Hello, I followed your environment setup and installed mmcv-full=1.3.0, mmdet=2.10.0, mmdet3d=0.10.0, mmpycocotools=12.0.3 and pycocotools=2.0.1. During the verification process, I tried to run demo.py to validate the successful installation of mmdet3d. However, I encountered an error that says "AttributeError: module 'pycocotools' has no attribute 'version'". I checked the faq.md , you mentioned that uninstalling mmpycocotools and pycocotools, then reinstalling mmpycocotools could resolve the issue. I tried this solution, but it didn't work. If I only install mmpycocotools, a new issue appeared.
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 80 from PyObject
So I found the solution in the mmdetection3d documentation. The solution proposed there is similar to your suggestion, but it includes an additional step of installing pycocotools==2.0.1. However, the bug ‘’AttributeError: module 'pycocotools' has no attribute 'version' ‘’ recurrence when I installed pycocotools.
Reproduction
- What command or script did you run?
python demo/pcd_demo.py demo/kitti_000008.bin configs/second/hv_second_secfpn_6x8_80e_kitti-3d-car.py checkpoints/hv_second_secfpn_6x8_80e_kitti-3d-car_20200620_230238-393f000c.pth
- Did you make any modifications on the code or config? Did you understand what you have modified? I didn't make any modifications.
- What dataset did you use? demo.py
Environment
- Please run
python mmdet3d/utils/collect_env.pyto collect necessary environment infomation and paste it here.
sys.platform: linux
Python: 3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0]
CUDA available: True
GPU 0: NVIDIA GeForce RTX 2080 Ti
CUDA_HOME: /usr/local/cuda
NVCC: Build cuda_11.1.TC455_06.29190527_0
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 1.9.0+cu111
PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.1
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,
TorchVision: 0.10.0+cu111
OpenCV: 4.7.0
MMCV: 1.3.0
MMCV Compiler: GCC 7.5
MMCV CUDA Compiler: 11.1
MMDetection: 2.10.0
MMDetection3D: 0.10.0+1b39a48
- You may add addition that may be helpful for locating the problem, such as
- How you installed PyTorch [e.g., pip, conda, source]
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
Error traceback If applicable, paste the error trackback here.
Traceback (most recent call last):
File "demo/pcd_demo.py", line 3, in <module>
from mmdet3d.apis import inference_detector, init_detector, show_result_meshlab
File "/root/autodl-tmp/project/mmdetection3d/mmdet3d/apis/__init__.py", line 1, in <module>
from .inference import inference_detector, init_detector, show_result_meshlab
File "/root/autodl-tmp/project/mmdetection3d/mmdet3d/apis/inference.py", line 10, in <module>
from mmdet3d.datasets.pipelines import Compose
File "/root/autodl-tmp/project/mmdetection3d/mmdet3d/datasets/__init__.py", line 1, in <module>
from mmdet.datasets.builder import build_dataloader
File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/__init__.py", line 2, in <module>
from .cityscapes import CityscapesDataset
File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/cityscapes.py", line 16, in <module>
from .coco import CocoDataset
File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/coco.py", line 21, in <module>
assert pycocotools.__version__ >= '12.0.2'
AttributeError: module 'pycocotools' has no attribute '__version__'
Bug fix If you have already identified the reason, you can provide the information here. If you are willing to create a PR to fix it, please also leave a comment here and that would be much appreciated!
You can refer to this site
I'm sorry, but you may have misunderstood my problem. The solution you provided for the "AttributeError" was to "pip uninstall pycocotools and reinstall mmpycocotools". I have already tried that, but after trying the same command again,
python demo/pcd_demo.py demo/kitti_000008.bin configs/second/hv_second_secfpn_6x8_80e_kitti-3d-car.py checkpoints/hv_second_secfpn_6x8_80e_kitti-3d-car_20200620_230238-393f000c.pth
I encountered a "ValueError". Upon researching the solution for the "ValueError", it suggests to "install pycocotools". Does this mean that my previous step of "uninstalling pycocotools" was unnecessary? As you can imagine, after installing pycocotools to resolve the "ValueError", the "AttributeError" reappeared.
This error is caused by the old version of numpy, you can refer to this solution. I suggest you install libraries with the same version as mine.
This error is caused by the old version of numpy, you can refer to this solution. I suggest you install libraries with the same version as mine.
Thank you very much for your prompt response. There's one thing I need to clarify. The description of the "ValueError" I encountered is "Expected 96 from C header, got 80 from PyObject," which is slightly different from the referenced "ValueError: Expected 88 from C header, got 80 from PyObject." However, I have also tried changing the version of numpy and tried to match my environment as closely as possible to yours, but I am still experiencing these issues. I hope you can help me clarify this further. The following is a list of libraries installed in my environment.
# Name Version Build Channel
libgcc_mutex 0.1 main https://mirrors.ustc.edu.cn/anaconda/pkgs/main
_openmp_mutex 5.1 1_gnu https://mirrors.ustc.edu.cn/anaconda/pkgs/main
absl-py 1.2.0 pypi_0 pypi
addict 2.4.0 pypi_0 pypi
anyio 3.6.2 pypi_0 pypi
argon2-cffi 21.3.0 pypi_0 pypi
argon2-cffi-bindings 21.2.0 pypi_0 pypi
asttokens 2.2.1 pypi_0 pypi
attrs 22.2.0 pypi_0 pypi
backcall 0.2.0 pypi_0 pypi
beautifulsoup4 4.12.0 pypi_0 pypi
black 23.1.0 pypi_0 pypi
bleach 5.0.1 pypi_0 pypi
ca-certificates 2023.05.30 h06a4308_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
cachetools 5.1.0 pypi_0 pypi
certifi 2022.9.24 pypi_0 pypi
cffi 1.15.1 pypi_0 pypi
charset-normalizer 3.0.1 pypi_0 pypi
click 8.1.3 pypi_0 pypi
comm 0.1.3 pypi_0 pypi
contourpy 1.0.6 pypi_0 pypi
cycler 0.11.0 pypi_0 pypi
cython 0.29.35 pypi_0 pypi
debugpy 1.6.6 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
defusedxml 0.7.1 pypi_0 pypi
descartes 1.1.0 pypi_0 pypi
entrypoints 0.4 pypi_0 pypi
exceptiongroup 1.1.0 pypi_0 pypi
executing 1.2.0 pypi_0 pypi
fastjsonschema 2.16.3 pypi_0 pypi
fire 0.4.0 pypi_0 pypi
flake8 6.0.0 pypi_0 pypi
fonttools 4.39.4 pypi_0 pypi
google-auth 2.19.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
grpcio 1.54.2 pypi_0 pypi
idna 3.4 pypi_0 pypi
imageio 2.29.0 pypi_0 pypi
importlib-metadata 6.3.0 pypi_0 pypi
importlib-resources 5.12.0 pypi_0 pypi
iniconfig 2.0.0 pypi_0 pypi
ipdb 0.13.9 pypi_0 pypi
ipykernel 6.23.1 pypi_0 pypi
ipython 8.10.0 pypi_0 pypi
ipython-genutils 0.2.0 pypi_0 pypi
ipywidgets 8.0.6 pypi_0 pypi
jedi 0.18.2 pypi_0 pypi
jinja2 3.1.2 pypi_0 pypi
joblib 1.2.0 pypi_0 pypi
jsonschema 4.8.0 pypi_0 pypi
jupyter 1.0.0 pypi_0 pypi
jupyter-client 7.3.4 pypi_0 pypi
jupyter-console 6.6.3 pypi_0 pypi
jupyter-core 5.3.0 pypi_0 pypi
jupyter-server 1.24.0 pypi_0 pypi
jupyterlab-pygments 0.2.2 pypi_0 pypi
jupyterlab-widgets 3.0.7 pypi_0 pypi
kiwisolver 1.4.4 pypi_0 pypi
ld_impl_linux-64 2.38 h1181459_1 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
libffi 3.4.4 h6a678d5_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
libgcc-ng 11.2.0 h1234567_1 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
libgomp 11.2.0 h1234567_1 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
libstdcxx-ng 11.2.0 h1234567_1 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
llvmlite 0.31.0 pypi_0 pypi
lyft-dataset-sdk 0.0.8 pypi_0 pypi
markdown 3.4.3 pypi_0 pypi
markupsafe 2.1.2 pypi_0 pypi
matplotlib 3.5.2 pypi_0 pypi
matplotlib-inline 0.1.3 pypi_0 pypi
mccabe 0.7.0 pypi_0 pypi
mistune 2.0.5 pypi_0 pypi
mmcv-full 1.3.0 pypi_0 pypi
mmdet 2.10.0 dev_0 <develop>
mmdet3d 0.11.0 dev_0 <develop>
mmpycocotools 12.0.3 pypi_0 pypi
mypy-extensions 1.0.0 pypi_0 pypi
nbclassic 0.5.3 pypi_0 pypi
nbclient 0.8.0 pypi_0 pypi
nbconvert 7.2.5 pypi_0 pypi
nbformat 5.8.0 pypi_0 pypi
ncurses 6.4 h6a678d5_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
nest-asyncio 1.5.4 pypi_0 pypi
networkx 2.2 pypi_0 pypi
notebook 6.5.4 pypi_0 pypi
notebook-shim 0.2.2 pypi_0 pypi
numba 0.48.0 pypi_0 pypi
numpy 1.19.2 pypi_0 pypi
nuscenes-devkit 1.1.9 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.7.0.72 pypi_0 pypi
openssl 1.1.1t h7f8727e_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
packaging 23.1 pypi_0 pypi
pandas 1.4.4 pypi_0 pypi
pandocfilters 1.5.0 pypi_0 pypi
parso 0.8.3 pypi_0 pypi
pathspec 0.11.0 pypi_0 pypi
pexpect 4.8.0 pypi_0 pypi
pickleshare 0.7.5 pypi_0 pypi
pillow 9.3.0 pypi_0 pypi
pip 23.0.1 py38h06a4308_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
platformdirs 3.0.0 pypi_0 pypi
plotly 5.14.1 pypi_0 pypi
pluggy 1.0.0 pypi_0 pypi
plyfile 0.9 pypi_0 pypi
prometheus-client 0.17.0 pypi_0 pypi
prompt-toolkit 3.0.38 pypi_0 pypi
protobuf 3.20.3 pypi_0 pypi
psutil 5.9.4 pypi_0 pypi
ptyprocess 0.7.0 pypi_0 pypi
pure-eval 0.2.2 pypi_0 pypi
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycocotools 2.0.1 pypi_0 pypi
pycodestyle 2.10.0 pypi_0 pypi
pycparser 2.21 pypi_0 pypi
pyflakes 3.0.1 pypi_0 pypi
pygments 2.14.0 pypi_0 pypi
pyparsing 3.0.9 pypi_0 pypi
pyquaternion 0.9.9 pypi_0 pypi
pyrsistent 0.19.3 pypi_0 pypi
pytest 7.2.1 pypi_0 pypi
python 3.8.16 h7a1cb2a_3 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
python-dateutil 2.8.2 pypi_0 pypi
pytz 2022.6 pypi_0 pypi
pywavelets 1.3.0 pypi_0 pypi
pyyaml 6.0 pypi_0 pypi
pyzmq 25.1.0 pypi_0 pypi
qtconsole 5.4.0 pypi_0 pypi
qtpy 2.3.0 pypi_0 pypi
readline 8.2 h5eee18b_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
requests 2.31.0 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-image 0.19.3 pypi_0 pypi
scikit-learn 1.2.1 pypi_0 pypi
scipy 1.7.3 pypi_0 pypi
send2trash 1.8.0 pypi_0 pypi
setuptools 67.8.0 py38h06a4308_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
shapely 1.8.5 pypi_0 pypi
six 1.16.0 pypi_0 pypi
sniffio 1.2.0 pypi_0 pypi
soupsieve 2.4 pypi_0 pypi
sqlite 3.41.2 h5eee18b_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
stack-data 0.6.2 pypi_0 pypi
tenacity 8.2.2 pypi_0 pypi
tensorboard 2.11.2 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
termcolor 2.1.1 pypi_0 pypi
terminado 0.17.0 pypi_0 pypi
terminaltables 3.1.10 pypi_0 pypi
threadpoolctl 3.1.0 pypi_0 pypi
tifffile 2023.4.12 pypi_0 pypi
tinycss2 1.1.1 pypi_0 pypi
tk 8.6.12 h1ccaba5_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
toml 0.10.2 pypi_0 pypi
tomli 2.0.1 pypi_0 pypi
torch 1.9.0+cu111 pypi_0 pypi
torchaudio 0.9.0 pypi_0 pypi
torchvision 0.10.0+cu111 pypi_0 pypi
tornado 6.1 pypi_0 pypi
tqdm 4.63.1 pypi_0 pypi
traitlets 5.9.0 pypi_0 pypi
trimesh 2.35.39 pypi_0 pypi
typing-extensions 4.6.2 pypi_0 pypi
urllib3 1.26.16 pypi_0 pypi
wcwidth 0.2.5 pypi_0 pypi
webencodings 0.5.1 pypi_0 pypi
websocket-client 1.5.2 pypi_0 pypi
werkzeug 2.3.4 pypi_0 pypi
wheel 0.38.4 py38h06a4308_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
widgetsnbextension 4.0.7 pypi_0 pypi
xz 5.4.2 h5eee18b_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
yapf 0.32.0 pypi_0 pypi
zipp 3.15.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_0 https://mirrors.ustc.edu.cn/anaconda/pkgs/main
It is hard for me to give you some useful suggestions with the above list of libraries and their versions. But I think the best try is that you reinstall your environment following my libraries dependency.
It is hard for me to give you some useful suggestions with the above list of libraries and their versions. But I think the best try is that you reinstall your environment following my libraries dependency.
Thanks for your response once again. I have another question: Have you tried running MSMDFusion with the latest version of mmdetection3d? I initially attempted to use the latest version, but encountered issues, possibly due to a conflict with the mmengine and mmcv-full which now is renamed to mmcv.
The latest version of mmdetection3d refactors their coordinate system and should be cooperated with a new version of mmcv. I do not adapt my codebase to the latest mmdetection3d.
Checklist
- I have searched related issues but cannot get the expected help.
- The bug has not been fixed in the latest version.
Describe the bug
AttributeError: module 'pycocotools' has no attribute '__version__'Hello, I followed your environment setup and installed mmcv-full=1.3.0, mmdet=2.10.0, mmdet3d=0.10.0, mmpycocotools=12.0.3 and pycocotools=2.0.1. During the verification process, I tried to run demo.py to validate the successful installation of mmdet3d. However, I encountered an error that says "AttributeError: module 'pycocotools' has no attribute 'version'". I checked the faq.md , you mentioned that uninstalling mmpycocotools and pycocotools, then reinstalling mmpycocotools could resolve the issue. I tried this solution, but it didn't work. If I only install mmpycocotools, a new issue appeared.
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 80 from PyObjectSo I found the solution in the mmdetection3d documentation. The solution proposed there is similar to your suggestion, but it includes an additional step of installing pycocotools==2.0.1. However, the bug ‘’AttributeError: module 'pycocotools' has no attribute 'version' ‘’ recurrence when I installed pycocotools.
Reproduction
- What command or script did you run?
python demo/pcd_demo.py demo/kitti_000008.bin configs/second/hv_second_secfpn_6x8_80e_kitti-3d-car.py checkpoints/hv_second_secfpn_6x8_80e_kitti-3d-car_20200620_230238-393f000c.pth
- Did you make any modifications on the code or config? Did you understand what you have modified? I didn't make any modifications.
- What dataset did you use? demo.py
Environment
- Please run
python mmdet3d/utils/collect_env.pyto collect necessary environment infomation and paste it here.sys.platform: linux Python: 3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0] CUDA available: True GPU 0: NVIDIA GeForce RTX 2080 Ti CUDA_HOME: /usr/local/cuda NVCC: Build cuda_11.1.TC455_06.29190527_0 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.7.0 MMCV: 1.3.0 MMCV Compiler: GCC 7.5 MMCV CUDA Compiler: 11.1 MMDetection: 2.10.0 MMDetection3D: 0.10.0+1b39a48
You may add addition that may be helpful for locating the problem, such as
- How you installed PyTorch [e.g., pip, conda, source]
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.htmlError traceback If applicable, paste the error trackback here.
Traceback (most recent call last): File "demo/pcd_demo.py", line 3, in <module> from mmdet3d.apis import inference_detector, init_detector, show_result_meshlab File "/root/autodl-tmp/project/mmdetection3d/mmdet3d/apis/__init__.py", line 1, in <module> from .inference import inference_detector, init_detector, show_result_meshlab File "/root/autodl-tmp/project/mmdetection3d/mmdet3d/apis/inference.py", line 10, in <module> from mmdet3d.datasets.pipelines import Compose File "/root/autodl-tmp/project/mmdetection3d/mmdet3d/datasets/__init__.py", line 1, in <module> from mmdet.datasets.builder import build_dataloader File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/__init__.py", line 2, in <module> from .cityscapes import CityscapesDataset File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/cityscapes.py", line 16, in <module> from .coco import CocoDataset File "/root/autodl-tmp/project/mmdetection/mmdet/datasets/coco.py", line 21, in <module> assert pycocotools.__version__ >= '12.0.2' AttributeError: module 'pycocotools' has no attribute '__version__'Bug fix If you have already identified the reason, you can provide the information here. If you are willing to create a PR to fix it, please also leave a comment here and that would be much appreciated!
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
