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图像方向分类+版面分析+表格识别示例代码报错IndexError: basic_string::at: __n (which is 0) >= this->size() (which is 0) #3345

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wangyang581 opened this issue Jan 20, 2025 · 1 comment
Open

图像方向分类+版面分析+表格识别示例代码报错IndexError: basic_string::at: __n (which is 0) >= this->size() (which is 0) #3345

wangyang581 opened this issue Jan 20, 2025 · 1 comment
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@Sunting78

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@wangyang581
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环境如下：
操作系统：linux
python版本号：python 3.10
CUDA/cuDNN版本：CUDA12.0-cudnn8.9

拉取dockerhub上镜像paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6创建环境，运行python图像方向分类+版面分析+表格识别脚本报错IndexError: basic_string::at: __n (which is 0) >= this->size() (which is 0)，代码如下：

import os
import cv2
from paddleocr import PPStructure, draw_structure_result, save_structure_res
table_engine = PPStructure(show_log=True, image_orientation=True)

save_folder = "./output"
img_path = "ppstructure/docs/table/1.png"
img = cv2.imread(img_path)
result = table_engine(img)
save_structure_res(result, save_folder, os.path.basename(img_path).split(".")[0])

for line in result:
    line.pop("img")
    print(line)

from PIL import Image

font_path = "doc/fonts/simfang.ttf"  # PaddleOCR下提供字体包
image = Image.open(img_path).convert("RGB")
im_show = draw_structure_result(image, result, font_path=font_path)
im_show = Image.fromarray(im_show)
im_show.save("result.jpg")

报错信息如下：

λ htk-aiserver /paddle/PaddleOCR python demo/demo_2.py 
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
[2025/01/20 02:14:45] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=True, use_xpu=False, use_npu=False, use_mlu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir=None, page_num=0, det_algorithm='DB', det_model_dir='/root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='quad', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/root/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/usr/local/lib/python3.10/dist-packages/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir=None, cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir='/root/.paddleocr/whl/table/ch_ppstructure_mobile_v2.0_SLANet_infer', merge_no_span_structure=True, table_char_dict_path='/usr/local/lib/python3.10/dist-packages/paddleocr/ppocr/utils/dict/table_structure_dict_ch.txt', formula_algorithm='LaTeXOCR', formula_model_dir='/root/.paddleocr/whl/formula/rec_latex_ocr_infer', formula_char_dict_path='/usr/local/lib/python3.10/dist-packages/paddleocr/ppocr/utils/dict/latex_ocr_tokenizer.json', formula_batch_num=1, layout_model_dir='/root/.paddleocr/whl/layout/picodet_lcnet_x1_0_fgd_layout_cdla_infer', layout_dict_path='/usr/local/lib/python3.10/dist-packages/paddleocr/ppocr/utils/dict/layout_dict/layout_cdla_dict.txt', layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=True, layout=True, table=True, formula=False, ocr=True, recovery=False, recovery_to_markdown=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='ch', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
Traceback (most recent call last):
  File "/paddle/PaddleOCR/demo/demo_2.py", line 5, in <module>
    table_engine = PPStructure(show_log=True, image_orientation=True)
  File "/usr/local/lib/python3.10/dist-packages/paddleocr/paddleocr.py", line 894, in __init__
    super().__init__(params)
  File "/usr/local/lib/python3.10/dist-packages/paddleocr/ppstructure/predict_system.py", line 53, in __init__
    self.image_orientation_predictor = paddleclas.PaddleClas(
  File "/usr/local/lib/python3.10/dist-packages/paddleclas/paddleclas.py", line 610, in __init__
    self.predictor = ClsPredictor(self._config)
  File "/usr/local/lib/python3.10/dist-packages/paddleclas/deploy/python/predict_cls.py", line 28, in __init__
    super().__init__(config["Global"])
  File "/usr/local/lib/python3.10/dist-packages/paddleclas/deploy/utils/predictor.py", line 37, in __init__
    self.predictor, self.config = self.create_paddle_predictor(
  File "/usr/local/lib/python3.10/dist-packages/paddleclas/deploy/utils/predictor.py", line 108, in create_paddle_predictor
    predictor = create_predictor(config)
IndexError: basic_string::at: __n (which is 0) >= this->size() (which is 0)

使用

import paddle
paddle.utils.install_check.run_check()

检查环境，输出信息如下：

λ htk-aiserver /paddle/PaddleOCR CUDA_VISIBLE_DEVICE=0 python demo/demo_3.py 
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
Running verify PaddlePaddle program ... 
I0120 02:40:35.650422  1683 program_interpreter.cc:212] New Executor is Running.
W0120 02:40:35.651573  1683 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.0, Driver API Version: 12.2, Runtime API Version: 11.8
W0120 02:40:35.653553  1683 gpu_resources.cc:164] device: 0, cuDNN Version: 8.1.
I0120 02:40:36.447850  1683 interpreter_util.cc:624] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
grep: warning: GREP_OPTIONS is deprecated; please use an alias or script
Running verify PaddlePaddle program ... 
I0120 02:40:37.510475  1761 program_interpreter.cc:212] New Executor is Running.
W0120 02:40:37.511821  1761 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.0, Driver API Version: 12.2, Runtime API Version: 11.8
W0120 02:40:37.513734  1761 gpu_resources.cc:164] device: 0, cuDNN Version: 8.1.
Running verify PaddlePaddle program ... 
I0120 02:40:37.543553  1758 program_interpreter.cc:212] New Executor is Running.
W0120 02:40:37.546911  1758 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.0, Driver API Version: 12.2, Runtime API Version: 11.8
W0120 02:40:37.549496  1758 gpu_resources.cc:164] device: 0, cuDNN Version: 8.1.
Running verify PaddlePaddle program ... 
I0120 02:40:37.586465  1760 program_interpreter.cc:212] New Executor is Running.
W0120 02:40:37.604415  1760 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.0, Driver API Version: 12.2, Runtime API Version: 11.8
W0120 02:40:37.606336  1760 gpu_resources.cc:164] device: 0, cuDNN Version: 8.1.
Running verify PaddlePaddle program ... 
I0120 02:40:37.622994  1759 program_interpreter.cc:212] New Executor is Running.
W0120 02:40:37.634954  1759 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.0, Driver API Version: 12.2, Runtime API Version: 11.8
W0120 02:40:37.636762  1759 gpu_resources.cc:164] device: 0, cuDNN Version: 8.1.
I0120 02:40:38.950637  1759 interpreter_util.cc:624] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
[2025-01-20 02:40:38,962] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 4 GPUs. This may be caused by:
 1. There is not enough GPUs visible on your system
 2. Some GPUs are occupied by other process now
 3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests 
 to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
[2025-01-20 02:40:38,962] [ WARNING] install_check.py:297 - 
 Original Error is: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
    prepare(preparation_data)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "/usr/lib/python3.10/runpy.py", line 289, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/usr/lib/python3.10/runpy.py", line 96, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/paddle/PaddleOCR/demo/demo_3.py", line 3, in <module>
    paddle.utils.install_check.run_check()
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 302, in run_check
    raise e
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 283, in run_check
    _run_parallel(device_list)
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 210, in _run_parallel
    paddle.distributed.spawn(train_for_run_parallel, nprocs=len(device_list))
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 604, in spawn
    process.start()
  File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
    return Popen(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
    _check_not_importing_main()
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
    raise RuntimeError('''
RuntimeError: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
I0120 02:40:38.983971  1760 interpreter_util.cc:624] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
[2025-01-20 02:40:38,999] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 4 GPUs. This may be caused by:
 1. There is not enough GPUs visible on your system
 2. Some GPUs are occupied by other process now
 3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests 
 to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
[2025-01-20 02:40:38,999] [ WARNING] install_check.py:297 - 
 Original Error is: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
    prepare(preparation_data)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "/usr/lib/python3.10/runpy.py", line 289, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/usr/lib/python3.10/runpy.py", line 96, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/paddle/PaddleOCR/demo/demo_3.py", line 3, in <module>
    paddle.utils.install_check.run_check()
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 302, in run_check
    raise e
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 283, in run_check
    _run_parallel(device_list)
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 210, in _run_parallel
    paddle.distributed.spawn(train_for_run_parallel, nprocs=len(device_list))
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 604, in spawn
    process.start()
  File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
    return Popen(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
    _check_not_importing_main()
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
    raise RuntimeError('''
RuntimeError: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
I0120 02:40:39.012089  1761 interpreter_util.cc:624] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
[2025-01-20 02:40:39,022] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 4 GPUs. This may be caused by:
 1. There is not enough GPUs visible on your system
 2. Some GPUs are occupied by other process now
 3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests 
 to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
[2025-01-20 02:40:39,022] [ WARNING] install_check.py:297 - 
 Original Error is: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
    prepare(preparation_data)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "/usr/lib/python3.10/runpy.py", line 289, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/usr/lib/python3.10/runpy.py", line 96, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/paddle/PaddleOCR/demo/demo_3.py", line 3, in <module>
    paddle.utils.install_check.run_check()
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 302, in run_check
    raise e
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 283, in run_check
    _run_parallel(device_list)
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 210, in _run_parallel
    paddle.distributed.spawn(train_for_run_parallel, nprocs=len(device_list))
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 604, in spawn
    process.start()
  File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
    return Popen(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
    _check_not_importing_main()
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
    raise RuntimeError('''
RuntimeError: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
I0120 02:40:39.170449  1758 interpreter_util.cc:624] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
[2025-01-20 02:40:39,198] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 4 GPUs. This may be caused by:
 1. There is not enough GPUs visible on your system
 2. Some GPUs are occupied by other process now
 3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests 
 to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
[2025-01-20 02:40:39,198] [ WARNING] install_check.py:297 - 
 Original Error is: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
    prepare(preparation_data)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "/usr/lib/python3.10/runpy.py", line 289, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/usr/lib/python3.10/runpy.py", line 96, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/paddle/PaddleOCR/demo/demo_3.py", line 3, in <module>
    paddle.utils.install_check.run_check()
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 302, in run_check
    raise e
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 283, in run_check
    _run_parallel(device_list)
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 210, in _run_parallel
    paddle.distributed.spawn(train_for_run_parallel, nprocs=len(device_list))
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 604, in spawn
    process.start()
  File "/usr/lib/python3.10/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/usr/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
    return Popen(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/usr/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
    _check_not_importing_main()
  File "/usr/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
    raise RuntimeError('''
RuntimeError: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.


--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
No stack trace in paddle, may be caused by external reasons.

----------------------
Error Message Summary:
----------------------
FatalError: `Termination signal` is detected by the operating system.
  [TimeInfo: *** Aborted at 1737340839 (unix time) try "date -d @1737340839" if you are using GNU date ***]
  [SignalInfo: *** SIGTERM (@0x693) received by PID 1758 (TID 0x7fae91cc9740) from PID 1683 ***]

[2025-01-20 02:40:39,684] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 4 GPUs. This may be caused by:
 1. There is not enough GPUs visible on your system
 2. Some GPUs are occupied by other process now
 3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests 
 to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
[2025-01-20 02:40:39,684] [ WARNING] install_check.py:297 - 
 Original Error is: Process 1 terminated with exit code 1.
PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
Traceback (most recent call last):
  File "/paddle/PaddleOCR/demo/demo_3.py", line 3, in <module>
    paddle.utils.install_check.run_check()
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 302, in run_check
    raise e
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 283, in run_check
    _run_parallel(device_list)
  File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 210, in _run_parallel
    paddle.distributed.spawn(train_for_run_parallel, nprocs=len(device_list))
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 614, in spawn
    while not context.join():
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 423, in join
    self._throw_exception(error_index)
  File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 435, in _throw_exception
    raise Exception(
Exception: Process 1 terminated with exit code 1.

虽然有报错，但也打印了成功信息PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
请问我该如何解决报IndexError: basic_string::at: __n (which is 0) >= this->size() (which is 0)
@cuicheng01
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麻烦提供下GPU型号吧，另外，如果做版面分析+OCR任务的话，推荐使用PaddleX，集成并优化了PP-StructureV2

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