Open Thornbach opened 1 year ago
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Maybe try installing newer version of python, 3.8.11, if not then 3.9?
@Thornbach did you find any solution other than changing the python version?
Hey! Sadly not. The only solution is indeed to switch into another python version. I was using Kaggle, thus it is combined with quite a hassle. Maybe i will just switch to Google Colab for this. But I'll let you know if I have any other solutions for this.
hello! I have the same problem, and my solution is trying the following command line: !pip install 'git+https://github.com/facebookresearch/detectron2.git@d779ea63faa54fe42b9b4c280365eaafccb280d6', which means downloading the latest version before the commit with bug so that it's unnecessary to change python version.
Instructions To Reproduce the 🐛 Bug:
import detectron2 from detectron2.utils.logger import setup_logger setup_logger()
import some common libraries
import numpy as np
import some common detectron2 utilities
from detectron2 import model_zoo from detectron2.engine import DefaultPredictor from detectron2.config import get_cfg from detectron2.utils.visualizer import Visualizer from detectron2.data import MetadataCatalog, DatasetCatalog
ImportError Traceback (most recent call last) /tmp/ipykernel_23/155909432.py in
9
10 # import some common detectron2 utilities
---> 11 from detectron2 import model_zoo
12 from detectron2.engine import DefaultPredictor
13 from detectron2.config import get_cfg
/kaggle/working/detectron2/detectron2/model_zoo/init.py in
6 """
7
----> 8 from .model_zoo import get, get_config_file, get_checkpoint_url, get_config
9
10 all = ["get_checkpoint_url", "get", "get_config_file", "get_config"]
/kaggle/working/detectron2/detectron2/model_zoo/model_zoo.py in
7 from detectron2.checkpoint import DetectionCheckpointer
8 from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
----> 9 from detectron2.modeling import build_model
10
11
/kaggle/working/detectron2/detectron2/modeling/init.py in
18 SwinTransformer,
19 )
---> 20 from .meta_arch import (
21 META_ARCH_REGISTRY,
22 SEM_SEG_HEADS_REGISTRY,
/kaggle/working/detectron2/detectron2/modeling/meta_arch/init.py in
4 from .build import META_ARCH_REGISTRY, build_model # isort:skip
5
----> 6 from .panoptic_fpn import PanopticFPN
7
8 # import all the meta_arch, so they will be registered
/kaggle/working/detectron2/detectron2/modeling/meta_arch/panoptic_fpn.py in
12 from ..postprocessing import detector_postprocess, sem_seg_postprocess
13 from .build import META_ARCH_REGISTRY
---> 14 from .rcnn import GeneralizedRCNN
15 from .semantic_seg import build_sem_seg_head
16
/kaggle/working/detectron2/detectron2/modeling/meta_arch/rcnn.py in
10 from detectron2.layers import move_device_like
11 from detectron2.structures import ImageList, Instances
---> 12 from detectron2.utils.events import get_event_storage
13 from detectron2.utils.logger import log_first_n
14
/kaggle/working/detectron2/detectron2/utils/events.py in
7 from collections import defaultdict
8 from contextlib import contextmanager
----> 9 from functools import cached_property
10 from typing import Optional
11 import torch
ImportError: cannot import name 'cached_property' from 'functools' (/opt/conda/lib/python3.7/functools.py)
sys.platform linux Python 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:53) [GCC 9.4.0] numpy 1.21.6 detectron2 imported a wrong installation detectron2._C not built correctly: No module named 'detectron2._C' Compiler ($CXX) c++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 CUDA compiler Build cuda_11.3.r11.3/compiler.29920130_0 DETECTRON2_ENV_MODULE
PyTorch 1.13.0 @/opt/conda/lib/python3.7/site-packages/torch
PyTorch debug build False
torch._C._GLIBCXX_USE_CXX11_ABI True
GPU available Yes
GPU 0,1 Tesla T4 (arch=7.5)
Driver version 470.161.03
CUDA_HOME /usr/local/cuda
Pillow 9.3.0
torchvision 0.14.0 @/opt/conda/lib/python3.7/site-packages/torchvision
torchvision arch flags 3.7, 6.0, 7.0, 7.5
fvcore 0.1.5.post20221221
iopath 0.1.9
cv2 4.5.4