albumentations is not installed

TingqiaoXu commented 1 year ago

Prerequisite

[X] I have searched the existing and past issues but cannot get the expected help.
[X] I have read the FAQ documentation but cannot get the expected help.
[X] The bug has not been fixed in the latest version.

🐞 Describe the bug

when use python3 tools/train.py configs/yolov5/yolov5_s-v61_fast_1xb12-40e_cat.py, it occurs error:

RuntimeError: class EpochBasedTrainLoop in mmengine/runner/loops.py: class YOLOv5CocoDataset in mmyolo/datasets/yolov5_coco.py: class Albu in mmdet/datasets/transforms/transforms.py: albumentations is not installed

but i have installed albumentations.

Environment

sys.platform: linux Python: 3.8.10 (default, May 26 2023, 14:05:08) [GCC 9.4.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0,1,2,3,4,5,6,7,8,9: NVIDIA GeForce GTX 1080 Ti CUDA_HOME: /data/cuda/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: x86_64-linux-gnu-gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.12.1+cu113 PyTorch compiling details: PyTorch built with:

GCC 9.3
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 v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
OpenMP 201511 (a.k.a. OpenMP 4.5)
LAPACK is enabled (usually provided by MKL)
NNPACK is enabled
CPU capability usage: AVX2
CUDA Runtime 11.3
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 8.4.1 (built against CUDA 11.6)
- Built with CuDNN 8.3.2
Magma 2.5.2
Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.13.1+cu113 OpenCV: 3.4.11 MMEngine: 0.7.4 MMCV: 2.0.0 MMDetection: 3.0.0 MMYOLO: 0.5.0+dc85144

Additional information

No response

Lum1104 commented 1 year ago

Try pip install -U albumentations maybe it would help you fix the problem~

Lum1104 commented 1 year ago

If you still get into trouble, you can check this link. https://github.com/open-mmlab/mmyolo/issues/746#issuecomment-1519770584

TingqiaoXu commented 1 year ago

Try pip install -U albumentations maybe it would help you fix the problem~

yes, you are right. I reinstall albumentations and it works. Thank you~

open-mmlab / mmyolo