PaddleOCR/main/ppocr/quick_start

[giscus[bot]]

PaddleOCR/main/ppocr/quick_start

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

https://paddlepaddle.github.io/PaddleOCR/main/ppocr/quick_start.html

[crazy-1677]

paddleocr --image_dir ./imgs/11.jpg --use_angle_cls true --use_gpu false
能正常获得结果， 但是：

paddleocr --image_dir ./imgs_words/ch/word_1.jpg --det false
单独使用识别，结果是空

[lxk1234]

为什么我识别的结果总是为none

[lxk1234]

为什么GPU版本的识别结果为none，下载CPU版本的就可以了

[CDragon1]

Loading configuration file /data/chenlong/.paddlex/official_models/PP-Chart2Table/generation_config.json

---

C++ Traceback (most recent call last):

0 paddle::AnalysisPredictor::ZeroCopyRun(bool)
1 paddle::framework::NaiveExecutor::RunInterpreterCore(std::vector<std::string, std::allocator<std::string > > const&, bool, bool)
2 paddle::framework::InterpreterCore::Run(std::vector<std::string, std::allocator<std::string > > const&, bool, bool, bool, bool)
3 paddle::framework::PirInterpreter::Run(std::vector<std::string, std::allocator<std::string > > const&, bool, bool, bool, bool)
4 paddle::framework::PirInterpreter::TraceRunImpl()
5 paddle::framework::PirInterpreter::TraceRunInstructionList(std::vector<std::unique_ptr<paddle::framework::InstructionBase, std::default_deletepaddle::framework::InstructionBase >, std::allocator<std::unique_ptr<paddle::framework::InstructionBase, std::default_deletepaddle::framework::InstructionBase > > > const&)
6 paddle::framework::PirInterpreter::RunInstructionBase(paddle::framework::InstructionBase*)
7 paddle::framework::PhiKernelInstruction::Run()
8 phi::KernelImpl<void ()(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, phi::DenseTensor), &(void phi::ConvKernel<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, phi::DenseTensor*))>::Compute(phi::KernelContext*)
9 void phi::ConvKernelImpl<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, int, std::vector<int, std::allocator > const&, std::string const&, phi::DenseTensor*)
10 phi::funcs::Im2ColFunctor<(phi::funcs::ColFormat)0, phi::CPUContext, float>::operator()(phi::CPUContext const&, phi::DenseTensor const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, phi::DenseTensor*, common::DataLayout)

---

Error Message Summary:

FatalError: Segmentation fault is detected by the operating system.
[TimeInfo: *** Aborted at 1748393909 (unix time) try "date -d @1748393909" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x7decf3edf170) received by PID 2130514 (TID 0x7df5f7c73740) from PID 18446744073507041648 ***]

为什么会报这个错误？