mmocr
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open-mmlab
[Bug] dev-1.x分支训练det模型，_draw_border_map 函数出现 ValueError: could not broadcast input array from shape into shape
Prerequisite
- [X] I have searched Issues and Discussions but cannot get the expected help.
- [X] The bug has not been fixed in the latest version (0.x) 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/mmocr/tree/dev-1.x
Environment
环境变量： sys.platform: linux Python: 3.8.19 (default, Mar 20 2024, 19:58:24) [GCC 11.2.0] CUDA available: True MUSA available: False numpy_random_seed: 2147483648 GPU 0: NVIDIA A10 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 12.2, V12.2.91 GCC: gcc (Debian 10.2.1-6) 10.2.1 20210110 PyTorch: 1.10.2 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: AVX512
- 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_61,code=sm_61;-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_37,code=compute_37
- CuDNN 8.2
- Magma 2.5.2
- 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=1.10.2, 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: 0.11.3 OpenCV: 4.9.0 MMEngine: 0.10.3 MMOCR: 1.0.1+1d3b1ca
Reproduces the problem - code sample
{ "metainfo": { "category": [ { "id": 0, "name": "text" } ], "dataset_type": "TextDetDataset", "task_name": "textdet" }, "data_list": [ { "sample_idx": 0, "img_path": "xxx.png", "height": 842, "width": 595, "seg_map": "gt-img-xxx.txt", "instances": [ 很多 ] } ] }
Reproduces the problem - command or script
python tools/train.py configs/textdet/dbnetpp/mmocr_det_myconfig.py
Reproduces the problem - error message
_draw_border_map
错误出现的地方： canvas[y_min_valid:y_max_valid + 1, x_min_valid:x_max_valid + 1] = np.fmax( 1 - distance_map[y_min_valid - y_min:y_max_valid - y_max + height, x_min_valid - x_min:x_max_valid - x_max + width], canvas[y_min_valid:y_max_valid + 1, x_min_valid:x_max_valid + 1]) 错误的原因： y_min_valid - y_min 小于0 而且 绝对值小于 distance_map.shape[1] x_min_valid - x_min 小于0 而且 绝对值小于 distance_map.shape[0]
此问题规避之后，会有新问题：
File "tools/train.py", line 114, in
Additional information
data_textdet_train = dict( type="OCRDataset", data_root=data_root, ann_file="mmocrdet_anno.json", filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=None, )
