Incompatible with MMCV 2.2.0

[KitakazePOI]

Hi, I installed mmcv and mmseg from source and both said installed successfully.
When run the demo, it reported:

Traceback (most recent call last): File "demo/image_demo.py", line 6, in <module> from mmseg.apis import inference_model, init_model, show_result_pyplot File "/home/qrx/proj/mmsegmentation/mmseg/__init__.py", line 61, in <module> assert (mmcv_min_version <= mmcv_version < mmcv_max_version), \ AssertionError: MMCV==2.2.0 is used but incompatible. Please install mmcv>=2.0.0rc4.

Environment information:

sys.platform: linux
Python: 3.8.10 (default, Nov 22 2023, 10:22:35) [GCC 9.4.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0: NVIDIA GeForce RTX 3050 Laptop GPU
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.4, V12.4.131
GCC: x86_64-linux-gnu-gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
PyTorch: 2.3.0+cu121
PyTorch compiling details: PyTorch built with:

• GCC 9.3
• C++ Version: 201703
• Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 12.1
• NVCC architecture flags: -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;-gencode;arch=compute_90,code=sm_90
• CuDNN 8.9.2
• Magma 2.6.1
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -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=2.3.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,

OpenCV: 4.10.0
MMEngine: 0.10.4
MMCV: 2.2.0
MMCV Compiler: GCC 9.4
MMCV CUDA Compiler: 12.4

[singer0730]

I have the same issue,....Incompatible with MMCV 2.2.0

[yyxxiiaaoo]

if your cuda version is 11.1 and torch is 1.10.x
pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.10/index.html
it works

[yifanlu0227]

Edit the __init__.py for mmseg (<PYTHON_DIR>/site-packages/mmseg/__init__.py) and remove the mmcv_max_version requirment.

assert (mmcv_min_version <= mmcv_version < mmcv_max_version), \
    f'MMCV=={mmcv.__version__} is used but incompatible. ' \
    f'Please install mmcv>=2.0.0rc4.'

to

assert (mmcv_min_version <= mmcv_version, \
    f'MMCV=={mmcv.__version__} is used but incompatible. ' \
    f'Please install mmcv>=2.0.0rc4.'

[bgpantojar]

I had this problem: open-mmlab/mmcv#1386

I managed to install mmcv two ways:

1 - pip install mmcv==2.2.0 -f https://download.openmmlab.com/mmcv/dist/cu121/torch2.3/index.html
2 - buidling from the source as https://mmcv.readthedocs.io/en/latest/get_started/build.html

Unfortunatelly when runing the demo:
python demo/image_demo.py demo/demo.png configs/pspnet/pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth --device cuda:0 --out-file result.jpg

It shows AssertionError: MMCV==2.2.0 is used but incompatible. Please install mmcv>=2.0.0rc4.

Then again, if I try to install the version 2.0.0rc4, with pip or mim, it takes forever the wheel building.

Runing on Windows 11, my cuda is 12.4 and my pytorch 2.4.0. I am guessing that my problems are related to these versions of cuda and pytorch.

Is there a solution for this?

[wsqstar]

I had this problem: open-mmlab/mmcv#1386

I managed to install mmcv two ways:

1 - pip install mmcv==2.2.0 -f https://download.openmmlab.com/mmcv/dist/cu121/torch2.3/index.html 2 - buidling from the source as https://mmcv.readthedocs.io/en/latest/get_started/build.html

Unfortunatelly when runing the demo: python demo/image_demo.py demo/demo.png configs/pspnet/pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth --device cuda:0 --out-file result.jpg

It shows AssertionError: MMCV==2.2.0 is used but incompatible. Please install mmcv>=2.0.0rc4.

Then again, if I try to install the version 2.0.0rc4, with pip or mim, it takes forever the wheel building.

Runing on Windows 11, my cuda is 12.4 and my pytorch 2.4.0. I am guessing that my problems are related to these versions of cuda and pytorch.

Is there a solution for this?

I hope this works for you https://mmcv.readthedocs.io/en/latest/get_started/installation.html

[clolckliang]

我遇到了这个问题，我直接将mmsegmentation/mmseg/init.py中的MMCV_MAX的值修改为MMCV_MAX = '6.5.0'就好了
`

MMCV_MIN = '2.0.0rc4'
MMCV_MAX = '6.5.0'
MMENGINE_MIN = '0.5.0'
MMENGINE_MAX = '1.0.0'

`

[Teassassin]

我遇到了这个问题，我直接将mmsegmentation/mmseg/init.py中的MMCV_MAX的值修改为MMCV_MAX = '6.5.0'就好了 `

MMCV_MIN = '2.0.0rc4' MMCV_MAX = '6.5.0' MMENGINE_MIN = '0.5.0' MMENGINE_MAX = '1.0.0'

`

Works for me. My env is torch2.4.1+py3.10_cuda11.8_cudnn9_0.