Key img_path issue from the tutorial

[levrone1987]

Prerequisite

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

🐞 Describe the bug

I tried to run the tutorial from
https://github.com/open-mmlab/mmyolo/blob/main/docs/en/get_started/15_minutes_object_detection.md

and got the following error (please note I only have CPU):

OP_sept_2023/sensorz/mmyolo/work_dirs/yolov5_s-v61_fast_1xb12-40e_cat_cpu.
Traceback (most recent call last):
File "tools/train.py", line 123, in
main()
File "tools/train.py", line 119, in main
runner.train()
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1777, in train
model = self.train_loop.run() # type: ignore
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmengine/runner/loops.py", line 98, in run
self.run_epoch()
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmengine/runner/loops.py", line 114, in run_epoch
for idx, data_batch in enumerate(self.dataloader):
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in next
data = self._next_data()
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/_utils.py", line 434, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 410, in getitem
data = self.prepare_data(idx)
File "/home/mirza/LAPTOP_sept_2023/sensorz/mmyolo/mmyolo/datasets/yolov5_coco.py", line 53, in prepare_data
return self.pipeline(data_info)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 60, in call
data = t(data)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmcv/transforms/base.py", line 12, in call
return self.transform(results)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmdet/structures/bbox/box_type.py", line 267, in wrapper
return func(self, results)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/mmdet/datasets/transforms/transforms.py", line 1699, in transform
results = self.aug(**results)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/albumentations/core/composition.py", line 346, in call
self.preprocess(data)
File "/home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/albumentations/core/composition.py", line 373, in preprocess
raise ValueError(msg)
ValueError: Key img_path is not in available keys.

Environment

home/mirza/miniconda3/envs/sens-yolo/lib/python3.8/site-packages/torch/cuda/init.py:80: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at /opt/conda/conda-bld/pytorch_1639180588308/work/c10/cuda/CUDAFunctions.cpp:112.)
return torch._C._cuda_getDeviceCount() > 0
sys.platform: linux
Python: 3.8.20 (default, Oct 3 2024, 15:24:27) [GCC 11.2.0]
CUDA available: False
MUSA available: False
numpy_random_seed: 2147483648
GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 1.10.1
PyTorch compiling details: PyTorch built with:

• GCC 7.3
• C++ Version: 201402
• Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX2
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -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-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=1.10.1, 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: 0.11.2
OpenCV: 4.10.0
MMEngine: 0.10.5
MMCV: 2.0.1
MMDetection: 3.3.0
MMYOLO: 0.6.0+8c4d9dc

Additional information

No response

[acrlife]

I also have this question. Have you solved this problem? @levrone1987

[acrlife]

#1018 (comment)
Following this link I have solved the problem, i.e. pip install albumentations==1.3.1