mmrotate
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open-mmlab
[Bug] ValueError: need at least one array to concatenate
Prerequisite
- [X] I have searched Issues and Discussions 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 (master) or latest version (1.x).
Task
I'm using the official example scripts/configs for the officially supported tasks/models/datasets.
Branch
1.x branch https://github.com/open-mmlab/mmrotate/tree/1.x
Environment
ys.platform: linux Python: 3.7.13 (default, Oct 18 2022, 18:57:03) [GCC 11.2.0] CUDA available: True GPU 0: NVIDIA GeForce RTX 2080 Ti CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.1, V11.1.105 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.7.0 PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 10.1
- 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_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
- CuDNN 7.6.3
- Magma 2.5.2
- Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -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, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=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: 0.8.1 OpenCV: 4.6.0 MMCV: 1.7.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 10.1 MMRotate: 0.3.3+4bbef14
Reproduces the problem - code sample
python tools/train.py configs/rotated_faster_rcnn/rotated_faster_rcnn_r50_fpn_1x_dota_le135.py
本次使用的数据集使ssdd数据集标注格式如下
@ROTATED_DATASETS.register_module() class SARDataset(HRSCDataset): """SAR ship dataset for detection (Support RSSDD and HRSID).""" CLASSES = ('ship', ) PALETTE = [ (0, 255, 0), ]
Reproduces the problem - command or script
ValueError: need at least one array to concatenate
Reproduces the problem - error message
File "tools/train.py", line 192, in
def __init__(self, dataset, samples_per_gpu=1):
assert hasattr(dataset, 'flag')
self.dataset = dataset
self.samples_per_gpu = samples_per_gpu
print('@@@@@@@@@@@@@@@@@@@@@@@@@@@',dataset)
print了dataset发现 @@@@@@@@@@@@@@@@@@@@@@@@@@@ SARDataset Train dataset with number of images 0, and instance counts: +----------+-------+----------+-------+----------+-------+----------+-------+----------+-------+ | category | count | category | count | category | count | category | count | category | count | +----------+-------+----------+-------+----------+-------+----------+-------+----------+-------+ | | | | | | | | | | | | 0 [ship] | 0 | | | | | | | | | +----------+-------+----------+-------+----------+-------+----------+-------+----------+-------+ 可能是因为与HRSC的数据集标注方式不完全相同导致的，但我个人能力无法从代码中找出解决方法，希望能得到您们的帮助，期待您们的宝贵建议！
Additional information
使用SSDD+数据集
