跑ppVehicle的车牌检测模型时 trt模型转化报错

hezhi1220 commented 1 year ago

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----------- Running Arguments ----------- DET: batch_size: 1 model_dir: run/infer_weights/mot_ppyoloe_s_36e_ppvehicle/ MOT: batch_size: 1 enable: true model_dir: run/infer_weights/mot_ppyoloe_s_36e_ppvehicle/ skip_frame_num: 1 tracker_config: deploy/pipeline/config/tracker_config.yml VEHICLE_ATTR: batch_size: 1 color_threshold: 0.5 enable: true model_dir: run/infer_weights/vehicle_attribute_model/ type_threshold: 0.5 VEHICLE_PLATE: det_limit_side_len: 736 det_limit_type: min det_model_dir: run/infer_weights/ch_PP-OCRv3_det_infer/ enable: true rec_batch_num: 6 rec_image_shape:

3
48
320 rec_model_dir: run/infer_weights/ch_PP-OCRv3_rec_infer/ word_dict_path: deploy/pipeline/ppvehicle/rec_word_dict.txt clipregion: false crop_thresh: 0.5 deltatime: 60 iskafka: false isprod: false savefile: true siteloc: TEST20 skipframe: 2 visual: true warmup_frame: 10

Multi-Object Tracking enabled Vehicle Plate Recognition enabled Vehicle Attribute Recognition enabled DET model dir: run/infer_weights/mot_ppyoloe_s_36e_ppvehicle/ MOT model dir: run/infer_weights/mot_ppyoloe_s_36e_ppvehicle/ det_model_dir model dir: run/infer_weights/ch_PP-OCRv3_det_infer/ rec_model_dir model dir: run/infer_weights/ch_PP-OCRv3_rec_infer/ VEHICLE_ATTR model dir: run/infer_weights/vehicle_attribute_model/ E0118 11:42:01.348984 35152 helper.h:114] 2: [convolutionBuilder.cpp::createConvolution::239] Error Code 2: Intern al Error (Assertion isOpConsistent(convolution.get()) failed. Cask convolution isconsitent check failed.) E0118 11:42:01.363926 35152 helper.h:114] 2: [builder.cpp::buildSerializedNetwork::636] Error Code 2: Internal Err or (Assertion engine != nullptr failed. )

C++ Traceback (most recent call last):

0 paddle_infer::Predictor::Predictor(paddle::AnalysisConfig const&) 1 std::unique_ptr<paddle::PaddlePredictor, std::default_delete > paddle::CreatePaddlePr edictor<paddle::AnalysisConfig, (paddle::PaddleEngineKind)2>(paddle::AnalysisConfig const&) 2 paddle::AnalysisPredictor::Init(std::shared_ptr const&, std::shared_ptr const&) 3 paddle::AnalysisPredictor::PrepareProgram(std::shared_ptr const&) 4 paddle::AnalysisPredictor::OptimizeInferenceProgram() 5 paddle::inference::analysis::Analyzer::RunAnalysis(paddle::inference::analysis::Argument) 6 paddle::inference::analysis::IrAnalysisPass::RunImpl(paddle::inference::analysis::Argument) 7 paddle::inference::analysis::IRPassManager::Apply(std::unique_ptr<paddle::framework::ir::Graph, std::default_d elete >) 8 paddle::framework::ir::Pass::Apply(paddle::framework::ir::Graph) const 9 paddle::inference::analysis::TensorRtSubgraphPass::ApplyImpl(paddle::framework::ir::Graph) const 10 paddle::inference::analysis::TensorRtSubgraphPass::CreateTensorRTOp(paddle::framework::ir::Node, paddle::fram ework::ir::Graph, std::vector<std::string, std::allocator > const&, std::vector<std::string, std::a llocator >) const 11 paddle::inference::tensorrt::OpConverter::ConvertBlockToTRTEngine(paddle::framework::BlockDesc, paddle::frame work::Scope const&, std::vector<std::string, std::allocator > const&, std::unordered_set<std::string , std::hash, std::equal_to, std::allocator > const&, std::vector<std::st ring, std::allocator > const&, paddle::inference::tensorrt::TensorRTEngine*) 12 paddle::inference::tensorrt::TensorRTEngine::FreezeNetwork()

Error Message Summary:

FatalError: Segmentation fault is detected by the operating system. [TimeInfo: Aborted at 1674013321 (unix time) try "date -d @1674013321" if you are using GNU date ] [SignalInfo: SIGSEGV (@0x8) received by PID 35152 (TID 0xffff946a97e0) from PID 8 ]

./run.sh: line 18: 35152 Segmentation fault (core dumped) python deploy/pipeline/pipeline.py --config run/con fig/infer_cfg_vehicle_attr.yml --output_dir run/output --video_file run/video_file/test0.mp4 --device gpu --run_mo de trt_fp16

wangxinxin08 commented 1 year ago

设置export GLOG_v=5，再运行下看看具体的报错是什么？

hezhi1220 commented 1 year ago

Multi-Object Tracking enabled Vehicle Plate Recognition enabled Vehicle Attribute Recognition enabled DET model dir: run/infer_model/mot_ppyoloe_s_36e_ppvehicle/ MOT model dir: run/infer_model/mot_ppyoloe_s_36e_ppvehicle/ det_model_dir model dir: run/infer_model/ch_PP-OCRv3_det_infer/ rec_model_dir model dir: run/infer_model/ch_PP-OCRv3_rec_infer/ VEHICLE_ATTR model dir: run/infer_model/vehicle_attribute_model/ E0119 13:18:42.726099 10018 helper.h:111] 3: [optimizationProfile.cpp::setDimensions::128] Error Code 3: Internal Error (Parameter check failed at: runtime/api/optimizationProfile.cpp::setDimensions::128, condition: std::all_of(dims.d, dims.d + dims.nbDims, [](int32_t x) noexcept { return x >= 0; }) ) E0119 13:18:42.726310 10018 helper.h:111] 3: [builderConfig.cpp::addOptimizationProfile::301] Error Code 3: Internal Error (Parameter check failed at: optimizer/api/builderConfig.cpp::addOptimizationProfile::301, condition: profile->isValid() ) E0119 13:18:42.731899 10018 helper.h:111] 4: [network.cpp::validate::2684] Error Code 4: Internal Error (Network has dynamic or shape inputs, but no optimization profile has been defined.) E0119 13:18:42.732045 10018 helper.h:111] 2: [builder.cpp::buildSerializedNetwork::417] Error Code 2: Internal Error (Assertion enginePtr != nullptr failed.)

C++ Traceback (most recent call last):

0 paddle_infer::Predictor::Predictor(paddle::AnalysisConfig const&) 1 std::unique_ptr<paddle::PaddlePredictor, std::default_delete > paddle::CreatePaddlePredictor<paddle::AnalysisConfig, (paddle::PaddleEngineKind)2>(paddle::AnalysisConfig const&) 2 paddle::AnalysisPredictor::Init(std::shared_ptr const&, std::shared_ptr const&) 3 paddle::AnalysisPredictor::PrepareProgram(std::shared_ptr const&) 4 paddle::AnalysisPredictor::OptimizeInferenceProgram() 5 paddle::inference::analysis::Analyzer::RunAnalysis(paddle::inference::analysis::Argument) 6 paddle::inference::analysis::IrAnalysisPass::RunImpl(paddle::inference::analysis::Argument) 7 paddle::inference::analysis::IRPassManager::Apply(std::unique_ptr<paddle::framework::ir::Graph, std::default_delete >) 8 paddle::framework::ir::Pass::Apply(paddle::framework::ir::Graph) const 9 paddle::inference::analysis::TensorRtSubgraphPass::ApplyImpl(paddle::framework::ir::Graph) const 10 paddle::inference::analysis::TensorRtSubgraphPass::CreateTensorRTOp(paddle::framework::ir::Node, paddle::framework::ir::Graph, std::vector<std::string, std::allocator > const&, std::vector<std::string, std::allocator >) const 11 paddle::inference::tensorrt::OpConverter::ConvertBlockToTRTEngine(paddle::framework::BlockDesc, paddle::framework::Scope const&, std::vector<std::string, std::allocator > const&, std::unordered_set<std::string, std::hash, std::equal_to, std::allocator > const&, std::vector<std::string, std::allocator > const&, paddle::inference::tensorrt::TensorRTEngine*) 12 paddle::inference::tensorrt::TensorRTEngine::FreezeNetwork()

Error Message Summary:

FatalError: Segmentation fault is detected by the operating system. [TimeInfo: Aborted at 1674105522 (unix time) try "date -d @1674105522" if you are using GNU date ] [SignalInfo: SIGSEGV (@0x8) received by PID 10018 (TID 0x7f7ee9f170) from PID 8 ]

PaddlePaddle / PaddleDetection