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基于飞桨框架的SRGAN图像超分辨率系统源码+文档说明及全部资料
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基于百度飞桨的2022软件杯A组遥感图像智能解译平台项目源码+文档说明及全部资料
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飞桨图像分类套件PaddleClas设计源码：该项目基于Python开发，包含414个文件，主要使用Python、Shell、C++和C语言。PaddleClas是飞桨为工业界和学术界所准备的一个图像分类任务的工具集，旨在帮助用户训练出更好的视觉模型，并支持应用落地。目录结构├── .clang_format.hook
├── .github
├── ISSUE_TEMPLATE
├── ---clas-issue-.md
├── workflows
├── python-publish.yml
├── .gitignore
├── .mirrors-yapf
├── .pre-commit-hooks.yaml
├── .version
├── hooks.yaml
├── pre_commit_dummy_package.egg-info
├── PKG-INFO
├── SOURCES.txt
├── dependency_links.txt
├── requires.txt
├── top_level.txt
├── setup.py
├── .pre-commit-config.yaml
├── .travis
├── precommit.sh
├── LICENSE
├── MANIFEST.in
├── README_ch.md
├── README_en.md
├── __init__.py
├── benchmark
├── prepare_data.sh
├── run_all.sh
├── run_benchmark.sh
├── dataset
├── .gitkeep
├── deploy
├── __init__.py
├── configs
├── PULC
├── car_exists
├── inference_car_exists.yaml
├── language_classification
├── inference_language_classification.yaml
├── person_attribute
├── inference_person_attribute.yaml
├── person_exists
├── inference_person_exists.yaml
├── safety_helmet
├── inference_safety_helmet.yaml
├── text_image_orientation
├── inference_text_image_orientation.yaml
├── textline_orientation
├── inference_textline_orientation.yaml
├── traffic_sign
├── inference_traffic_sign.yaml
├── vehicle_attribute
├── inference_vehicle_attribute.yaml
├── inference_attr.yaml
├── inference_cartoon.yaml
├── inference_cls.yaml
├── inference_cls_based_action.yaml
├── inference_cls_ch4.yaml
├── inference_cls_multilabel.yaml
├── inference_det.yaml
├── inference_drink.yaml
├── inference_general.yaml
├── inference_general_binary.yaml
├── inference_logo.yaml
├── inference_product.yaml
├── inference_rec.yaml
├── inference_vehicle.yaml
├── cpp
├── CMakeLists.txt
├── docs
├── imgs
├── ILSVRC2012_val_00000666.JPEG
├── cpp_infer_result.png
├── vs2019_step1.png
├── vs2019_step2.png
├── vs2019_step3.png
├── vs2019_step4.png
├── vs2019_step5.png
├── vs2019_step6.png
├── windows_vs2019_build.md
├── external-cmake
├── auto-log.cmake
├── yaml-cpp.cmake
├── include
├── cls.h
├── cls_config.h
├── preprocess_op.h
├── utility.h
├── readme_en.md
├── src
├── cls.cpp
├── cls_config.cpp
├── main.cpp
├── preprocess_op.cpp
├── utility.cpp
├── tools
├── build.sh
├── cpp_shitu
├── CMakeLists.txt
├── external-cmake
├── auto-log.cmake
├── yaml-cpp.cmake
├── include
├── feature_extracter.h
├── nms.h
├── object_detector.h
├── preprocess_op.h
├── preprocess_op_det.h
├── vector_search.h
├── yaml_config.h
├── readme_en.md
├── src
├── feature_extracter.cpp
├── main.cpp
├── object_detector.cpp
├── preprocess_op.cpp
├── preprocess_op_det.cpp
├── vector_search.cpp
├── yaml_config.cpp
├── tools
├── build.sh
├── transform_id_map.py
├── hubserving
├── ILSVRC2012_val_00006666.JPEG
├── clas
├── __init__.py
├── config.json
├── module.py
├── params.py
├── readme_en.md
├── test_hubserving.py
├── images
├── 0517_2715693311.jpg
├── ImageNet
├── ILSVRC2012_val_00000010.jpeg
├── ILSVRC2012_val_00010010.jpeg
├── ILSVRC2012_val_00020010.jpeg
├── ILSVRC2012_val_00030010.jpeg
├── PULC
├── car_exists
├── objects365_00001507.jpeg
├── objects365_00001521.jpeg
├── language_classification
├── word_17.png
├── word_20.png
├── word_35404.png
├── person_attribute
├── 090004.jpg
├── 090007.jpg
├── person_exists
├── objects365_01780782.jpg
├── objects365_02035329.jpg
├── safety_helmet
├── safety_helmet_test_1.png
├── safety_helmet_test_2.png
├── text_image_orientation
├── img_rot0_demo.jpg
├── img_rot180_demo.jpg
├── textline_orientation
├── textline_orientation_test_0_0.png
├── textline_orientation_test_0_1.png
├── textline_orientation_test_1_0.png
├── textline_orientation_test_1_1.png
├── traffic_sign
├── 100999_83928.jpg
├── 99603_17806.jpg
├── vehicle_attribute
├── 0002_c002_00030670_0.jpg
├── 0014_c012_00040750_0.jpg
├── Pedestrain_Attr.jpg
├── anmuxi.jpg
├── coco_000000570688.jpg
├── wangzai.jpg
├── lite
├── Makefile
├── benchmark
├── benchmark.sh
├── config.txt
├── image_classfication.cpp
├── imgs
├── lite_demo_result.png
├── tabby_cat.jpg
├── prepare.sh
├── readme_en.md
├── lite_shitu
├── Makefile
├── generate_json_config.py
├── images
├── demo.jpeg
├── include
├── config_parser.h
├── feature_extractor.h
├── object_detector.h
├── picodet_postprocess.h
├── preprocess_op.h
├── utils.h
├── vector_search.h
├── src
├── config_parser.cc
├── feature_extractor.cc
├── main.cc
├── object_detector.cc
├── picodet_postprocess.cc
├── preprocess_op.cc
├── utils.cc
├── vector_search.cc
├── transform_id_map.py
├── paddle2onnx
├── readme_en.md
├── paddleserving
├── __init__.py
├── build_server.sh
├── classification_web_service.py
├── config.yml
├── cpu_utilization.py
├── daisy.jpg
├── imagenet.label
├── imgs
├── results.png
├── results_shitu.png
├── start_server.png
├── start_server_shitu.png
├── pipeline_http_client.py
├── pipeline_rpc_client.py
├── preprocess
├── general_clas_op.cpp
├── general_clas_op.h
├── preprocess_op.cpp
├── preprocess_op.h
├── readme_en.md
├── recognition
├── __init__.py
├── config.yml
├── daoxiangcunjinzhubing_6.jpg
├── label_list.txt
├── pipeline_http_client.py
├── pipeline_rpc_client.py
├── preprocess
├── general_PPLCNetV2_base_pretrained_v1.0_client
├── serving_client_conf.prototxt
├── general_PPLCNetV2_base_pretrained_v1.0_serving
├── serving_server_conf.prototxt
├── picodet_PPLCNet_x2_5_mainbody_lite_v1.0_client
├── serving_client_conf.prototxt
├── picodet_PPLCNet_x2_5_mainbody_lite_v1.0_serving
├── serving_server_conf.prototxt
├── readme_en.md
├── recognition_web_service.py
├── run_cpp_serving.sh
├── test_cpp_serving_client.py
├── run_cpp_serving.sh
├── test_cpp_serving_client.py
├── python
├── __init__.py
├── build_gallery.py
├── det_preprocess.py
├── postprocess.py
├── predict_cls.py
├── predict_det.py
├── predict_rec.py
├── predict_system.py
├── preprocess.py
├── shell
├── predict.sh
├── shitu_android_demo
├── app
├── app.iml
├── build.gradle
├── proguard-rules.pro
├── src
├── androidTest
├── java
├── com
├── baidu
├── paddle
├── lite
├── demo
├── pp_shitu
├── ExampleInstrumentedTest.java
├── main
├── AndroidManifest.xml
├── assets
├── images
├── demo.jpg
├── index
├── models
├── cpp
├── CMakeLists.txt
├── FeatureExtractor.cc
├── FeatureExtractor.h
├── Native.cc
├── Native.h
├── ObjectDetector.cc
├── ObjectDetector.h
├── Pipeline.cc
├── Pipeline.h
├── Utils.cc
├── Utils.h
├── VectorSearch.cc
├── VectorSearch.h
├── java
├── com
├── baidu
├── paddle
├── lite
├── demo
├── common
├── AppCompatPreferenceActivity.java
├── Utils.java
├── pp_shitu
├── MainActivity.java
├── Native.java
├── SettingsActivity.java
├── jniLibs
├── arm64-v8a
├── res
├── drawable-v24
├── ic_launcher_foreground.xml
├── drawable-xxhdpi-v4
├── btn_switch_default.png
├── btn_switch_pressed.png
├── drawable
├── app_icon_crop.png
├── btn_settings.xml
├── btn_settings_default.xml
├── btn_settings_pressed.xml
├── btn_shutter.xml
├── btn_shutter_default.xml
├── btn_shutter_pressed.xml
├── btn_switch.xml
├── ic_launcher_background.xml
├── reset.png
├── shezhi.png
├── shuoming.png
├── white.png
├── layout-land
├── activity_main_old.xml
├── layout
├── activity_main.xml
├── menu
├── menu_action_options.xml
├── mipmap-anydpi-v26
├── ic_launcher_back.xml
├── ic_launcher_round_back.xml
├── mipmap-hdpi
├── ic_launcher.png
├── ic_launcher_round.png
├── mipmap-mdpi
├── ic_launcher.png
├── ic_launcher_round.png
├── mipmap-xhdpi
├── baocunxiugai_100.png
├── bendishangchuan_100.png
├── bendishibie_100.png
├── ic_launcher.png
├── ic_launcher_round.png
├── leibiechaxun_100.png
├── paizhaoshangchuan_100.png
├── paizhaoshibie_100.png
├── mipmap-xxhdpi
├── app_icon_crop.png
├── ic_launcher.png
├── ic_launcher_round.png
├── mipmap-xxxhdpi
├── ic_launcher.png
├── ic_launcher_round.png
├── values
├── arrays.xml
├── colors.xml
├── dimens.xml
├── strings.xml
├── styles.xml
├── xml
├── settings.xml
├── test
├── java
├── com
├── baidu
├── paddle
├── lite
├── demo
├── pp_shitu
├── ExampleUnitTest.java
├── build.gradle
├── docs
├── images
├── step1.png
├── step2.1.png
├── step2.2.png
├── step3.png
├── gradle.properties
├── gradle
├── wrapper
├── gradle-wrapper.jar
├── gradle-wrapper.properties
├── gradlew
├── gradlew.bat
├── local.properties
├── settings.gradle
├── shitu_index_manager
├── client.py
├── index_manager.py
├── mod
├── __init__.py
├── classify_ui_context.py
├── image_list_manager.py
├── image_list_ui_context.py
├── imageeditclassifydialog.py
├── index_http_client.py
├── mainwindow.py
├── ui_addclassifydialog.py
├── ui_imageeditclassifydialog.py
├── ui_mainwindow.py
├── ui_newlibrarydialog.py
├── ui_renameclassifydialog.py
├── ui_waitdialog.py
├── utils.py
├── resource
├── add_classify.png
├── add_image.png
├── app_icon.png
├── app_menu.png
├── remove_classify.png
├── remove_image.png
├── save_image_Library.png
├── search_classify.png
├── server.py
├── ui
├── AddClassifyDialog.ui
├── ImageEditClassifyDialog.ui
├── MainWindow.ui
├── NewlibraryDialog.ui
├── RenameClassifyDialog.ui
├── WaitDialog.ui
├── slim
├── README_en.md
├── quant_post_static.py
├── utils
├── __init__.py
├── config.py
├── draw_bbox.py
├── encode_decode.py
├── get_image_list.py
├── imagenet1k_label_list.txt
├── logger.py
├── predictor.py
├── simfang.ttf
├── vector_search
├── Makefile
├── README_en.md
├── __init__.py
├── index.dll
├── index.so
├── interface.cc
├── interface.py
├── src
├── config.h
├── data.h
├── graph.h
├── test.py
├── docs
├── Makefile
├── en
├── Makefile
├── PPShiTu
├── PPShiTuV2_introduction.md
├── PULC
├── PULC_car_exists_en.md
├── PULC_language_classification_en.md
├── PULC_model_list_en.md
├── PULC_person_attribute_en.md
├── PULC_person_exists_en.md
├── PULC_quickstart_en.md
├── PULC_safety_helmet_en.md
├── PULC_text_image_orientation_en.md
├── PULC_textline_orientation_en.md
├── PULC_traffic_sign_en.md
├── PULC_train_en.md
├── PULC_vehicle_attribute_en.md
├── advanced_tutorials
├── DataAugmentation_en.md
├── code_overview_en.md
├── distillation
├── distillation_en.md
├── index.rst
├── how_to_contribute_en.md
├── index.rst
├── knowledge_distillation_en.md
├── model_prune_quantization_en.md
├── multilabel
├── index.rst
├── multilabel_en.md
├── algorithm_introduction
├── DataAugmentation_en.md
├── ISE_ReID_en.md
├── ImageNet_models_en.md
├── image_classification_en.md
├── index.rst
├── knowledge_distillation_en.md
├── metric_learning_en.md
├── model_prune_quantization_en.md
├── reid.md
├── change_log.md
├── conf.py
├── data_preparation
├── classification_dataset_en.md
├── index.rst
├── recognition_dataset_en.md
├── doc_en.rst
├── faq_series
├── faq_2020_s1_en.md
├── faq_2021_s1_en.md
├── faq_2021_s2_en.md
├── faq_2022_s1_en.md
├── faq_selected_30_en.md
├── index.rst
├── image_recognition_pipeline
├── feature_extraction_en.md
├── index.rst
├── mainbody_detection_en.md
├── vector_search_en.md
├── index.rst
├── inference_deployment
├── classification_serving_deploy_en.md
├── cpp_deploy_en.md
├── export_model_en.md
├── index.rst
├── paddle_hub_serving_deploy_en.md
├── paddle_lite_deploy_en.md
├── python_deploy_en.md
├── recognition_serving_deploy_en.md
├── whl_deploy_en.md
├── installation
├── index.rst
├── install_paddle_en.md
├── install_paddleclas_en.md
├── introduction
├── function_intro_en.md
├── index.rst
├── more_demo
├── cartoon.md
├── index.rst
├── logo.md
├── more_demo.md
├── product.md
├── vehicle.md
├── make.bat
├── models
├── CSWinTransformer_en.md
├── DLA_en.md
├── DPN_DenseNet_en.md
├── ESNet_en.md
├── EfficientNet_and_ResNeXt101_wsl_en.md
├── HRNet_en.md
├── HarDNet_en.md
├── Inception_en.md
├── LeViT_en.md
├── MixNet_en.md
├── MobileViT_en.md
├── Mobile_en.md
├── Others_en.md
├── PP-HGNet_en.md
├── PP-LCNetV2_en.md
├── PP-LCNet_en.md
├── PVTV2_en.md
├── ReXNet_en.md
├── RedNet_en.md
├── RepVGG_en.md
├── ResNeSt_RegNet_en.md
├── ResNet_and_vd_en.md
├── SEResNext_and_Res2Net_en.md
├── SwinTransformer_en.md
├── TNT_en.md
├── Twins_en.md
├── ViT_and_DeiT_en.md
├── index.rst
├── models_training
├── classification_en.md
├── config_description_en.md
├── index.rst
├── recognition_en.md
├── train_strategy_en.md
├── others
├── VisualDL_en.md
├── competition_support_en.md
├── feature_visiualization_en.md
├── index.rst
├── paddle_mobile_inference_en.md
├── train_on_xpu_en.md
├── train_with_DALI_en.md
├── transfer_learning_en.md
├── update_history_en.md
├── versions_en.md
├── quick_start
├── index.rst
├── quick_start_classification_new_user_en.md
├── quick_start_classification_professional_en.md
├── quick_start_multilabel_classification_en.md
├── quick_start_recognition_en.md
├── images
├── 10w_cls.png
├── ISE_pipeline.png
├── PP-HGNet
├── PP-HGNet-block.png
├── PP-HGNet.png
├── PP-LCNet
├── PP-LCNet-Acc.png
├── PP-LCNet.png
├── PP-LCNetV2
├── net.png
├── rep.png
├── shortcut.png
├── split_pw.png
├── PULC
├── docs
├── car_exists_data_demo.jpeg
├── language_classification_original_data.png
├── person_attribute_data_demo.png
├── person_exists_data_demo.png
├── safety_helmet_data_demo.jpg
├── text_image_orientation_data_demo.png
├── text_image_orientation_original_data.png
├── textline_orientation_data_demo.png
├── traffic_sign_data_demo.png
├── vehicle_attribute_data_demo.png
├── VisualDL
├── train_loss.png
├── action_rec_by_classification.gif
├── algorithm_introduction
├── fpgm.png
├── hnsw.png
├── quantization.jpg
├── quantization_formula.png
├── quantization_formula_slim.png
├── class_simple.gif
├── class_simple_en.gif
├── classification.gif
├── classification_en.gif
├── deep_hash
├── DCH.png
├── DSHSD.png
├── LCDSH.png
├── det
├── PaddleDetection_config.png
├── pssdet.png
├── distillation
├── 22k_1k_val_compare_w_sift.png
├── distillation_perform.png
├── distillation_perform_s.jpg
├── ppcls_distillation.png
├── ppcls_distillation_s.jpg
├── drink_demo.gif
├── faq
├── ACNetFusion.png
├── ACNetReParams.png
├── DeployedACNet.png
├── HRNet.png
├── HRNet_block.png
├── HorizontalKernel.png
├── MemoryOccupation.png
├── RepVGG.png
├── RepVGGReParams.png
├── ResNet_vabcd_structure.png
├── SE_structure.png
├── TrainingtimeACNet.png
├── Transformer_input.png
├── ViT.png
├── ViT_structure.png
├── momentum.jpeg
├── feature_compare.png
├── feature_extraction_framework.png
├── feature_extraction_framework_en.png
├── feature_extraction_output.png
├── feature_maps
├── feature_visualization_input.jpg
├── feature_visualization_output.jpg
├── icartoon1.png
├── icartoon2.jpeg
├── image_aug
├── gridmask-0.png
├── hide-and-seek-visual.png
├── image_aug_samples.png
├── image_aug_samples_s.jpg
├── image_aug_samples_s_en.jpg
├── main_image_aug.png
├── main_image_aug_s.jpg
├── test_autoaugment.jpeg
├── test_baseline.jpeg
├── test_cutmix.png
├── test_cutout.jpeg
├── test_gridmask.jpeg
├── test_hideandseek.jpeg
├── test_mixup.png
├── test_randaugment.jpeg
├── test_randomerassing.jpeg
├── inference_deployment
├── cpp_infer_result.png
├── lite_demo_result.png
├── vs2019_step1.png
├── vs2019_step2.png
├── vs2019_step3.png
├── vs2019_step4.png
├── vs2019_step5.png
├── vs2019_step6.png
├── whl_demo.jpg
├── joinus.png
├── logo.png
├── logo
├── logodet3k.jpg
├── main_features.png
├── main_features_s.png
├── main_features_s_en.png
├── mainpage
├── cartoon_vis_en_v1.0.gif
├── cartoon_vis_v1.0.gif
├── logo_vis_en_v1.0.gif
├── logo_vis_v1.0.gif
├── product_vis_en_v1.0.gif
├── product_vis_v1.0.gif
├── recognition_pipeline_en.png
├── vehicle_vis_en_v1.0.gif
├── ml_illustration.jpg
├── ml_pipeline.jpg
├── models
├── T4_benchmark
├── t4.fp16.bs1.EfficientNet.png
├── t4.fp16.bs4.DPN.png
├── t4.fp16.bs4.HRNet.png
├── t4.fp16.bs4.Inception.png
├── t4.fp16.bs4.ResNet.png
├── t4.fp16.bs4.SeResNeXt.png
├── t4.fp32.bs1.EfficientNet.png
├── t4.fp32.bs1.main_fps_top1.png
├── t4.fp32.bs4.DPN.flops.png
├── t4.fp32.bs4.DPN.params.png
├── t4.fp32.bs4.DPN.png
├── t4.fp32.bs4.EfficientNet.flops.png
├── t4.fp32.bs4.EfficientNet.params.png
├── t4.fp32.bs4.HRNet.flops.png
├── t4.fp32.bs4.HRNet.params.png
├── t4.fp32.bs4.HRNet.png
├── t4.fp32.bs4.Inception.flops.png
├── t4.fp32.bs4.Inception.params.png
├── t4.fp32.bs4.Inception.png
├── t4.fp32.bs4.ResNet.flops.png
├── t4.fp32.bs4.ResNet.params.png
├── t4.fp32.bs4.ResNet.png
├── t4.fp32.bs4.SeResNeXt.flops.png
├── t4.fp32.bs4.SeResNeXt.params.png
├── t4.fp32.bs4.SeResNeXt.png
├── t4.fp32.bs4.main_fps_top1.png
├── t4.fp32.bs4.mobile_trt.flops.png
├── t4.fp32.bs4.mobile_trt.params.png
├── V100_benchmark
├── v100.fp32.bs1.DPN.png
├── v100.fp32.bs1.EfficientNet.png
├── v100.fp32.bs1.HRNet.png
├── v100.fp32.bs1.Inception.png
├── v100.fp32.bs1.ResNet.png
├── v100.fp32.bs1.SeResNeXt.png
├── v100.fp32.bs1.main_fps_top1_s.png
├── v100.fp32.bs1.visiontransformer.png
├── lr_decay.jpeg
├── mobile_arm_storage.png
├── mobile_arm_top1.png
├── paddlepaddle.jpg
├── ppshitu_application_scenarios
├── 100sports.jpg
├── 104flowers.jpeg
├── AID.jpg
├── AnimalImageDataset.jpg
├── Ball.jpg
├── Bird400.jpg
├── Boat.jpg
├── Butterfly.jpg
├── DogBreeds.jpg
├── FashionProductsImage.jpg
├── Garbage12.jpg
├── Gemstones.jpg
├── Logo3K.jpg
├── MusicInstruments.jpg
├── Paris.jpg
├── Pokemon.png
├── Shoes.jpeg
├── TreeNuts.jpg
├── Vechicles.jpg
├── Veg200.jpg
├── WeatherImageRecognition.jpg
├── WildEdiblePlants.jpg
├── systerm_result.jpg
├── ppshitu_lite_demo.png
├── product
├── aliproduct.png
├── inshop.png
├── qq_group.png
├── quick_start
├── Examples-Flower-102.png
├── all_acc.png
├── android_demo
├── PPShiTu_qrcode.png
├── android_nongfu_spring.JPG
├── baocunxiugai_100.png
├── bendishangchuan_100.png
├── bendishibie_100.png
├── leibiechaxun_100.png
├── paizhaoshangchuan_100.png
├── paizhaoshibie_100.png
├── reset_100.png
├── community
├── 001_fork.png
├── 002_clone.png
├── 003_precommit_pass.png
├── 004_create_pr.png
├── code_framework.png
├── train_framework.png
├── flowers102
├── image_06739.jpg
├── image_06767.jpg
├── image_06773.jpg
├── r50_vd_acc.png
├── r50_vd_pretrained_acc.png
├── shitu_c++_result.png
├── recognition.gif
├── recognition
├── crop_example.png
├── drink_data_demo
├── output
├── 100.jpeg
├── mosilian.jpeg
├── nongfu_spring.jpeg
├── youjia.jpeg
├── test_images
├── 100.jpeg
├── mosilian.jpeg
├── nongfu_spring.jpeg
├── youjia.jpeg
├── logo_demo
├── gallery
├── logo_gallery_demo.png
├── query
├── logo_auxx-1.jpg
├── logo_cola.jpg
├── product_demo
├── gallery
├── anmuxi
├── 001.jpg
├── 002.jpg
├── 003.jpg
├── 004.jpg
├── 005.jpg
├── 006.jpg
├── query
├── anmuxi.jpg
├── daoxiangcunjinzhubing_6.jpg
├── result
├── anmuxi.jpg
├── anmuxi_en.jpg
├── daoxiangcunjinzhubing_6.jpg
├── daoxiangcunjinzhubing_6_en.jpg
├── wangzai.jpg
├── wangzai_det_result.jpg
├── rec_pipeline.png
├── vehicle
├── CompCars.png
├── cars.JPG
├── recognition_en.gif
├── reid
├── reid_overview.jpg
├── strong-baseline.jpg
├── shitu_index_manager
├── all_menu.png
├── creat_images.png
├── image_operation.png
├── main_page.png
├── menu.png
├── shituv2.gif
├── structure.jpg
├── wx_group.png
├── make.bat
├── requirements.txt
├── source
├── index.rst
├── zh_CN
├── FAQ
├── faq_2020_s1.md
├── faq_2021_s1.md
├── faq_2021_s2.md
├── faq_2022_s1.md
├── faq_selected_30.md
├── algorithm_introduction
├── ISE_ReID.md
├── ReID.md
├── data_augmentation.md
├── deep_hashing.md
├── image_classification.md
├── knowledge_distillation.md
├── metric_learning.md
├── prune_quantization.md
├── transfer_learning.md
├── community
├── competition_support.md
├── courses.md
├── how_to_contribute.md
├── deployment
├── PP-ShiTu
├── application_scenarios.md
├── cpp.md
├── gallery_manager.md
├── paddle_lite.md
├── paddle_serving.md
├── python.md
├── shitu_deploy.md
├── vector_search.md
├── whl.md
├── export_model.md
├── image_classification
├── cpp
├── linux.md
├── windows.md
├── paddle2onnx.md
├── paddle_hub.md
├── paddle_lite.md
├── paddle_serving.md
├── python.md
├── whl.md
├── installation.md
├── models
├── ImageNet1k
├── CSPNet.md
├── CSWinTransformer.md
├── ConvNeXt.md
├── DLA.md
├── DPN.md
├── DeiT.md
├── DenseNet.md
├── ESNet.md
├── EfficientNet.md
├── GhostNet.md
├── HRNet.md
├── HarDNet.md
├── Inception.md
├── LeViT.md
├── MixNet.md
├── MobileNetV1.md
├── MobileNetV2.md
├── MobileNetV3.md
├── MobileViT.md
├── Others.md
├── PP-HGNet.md
├── PP-LCNet.md
├── PP-LCNetV2.md
├── PVTV2.md
├── PeleeNet.md
├── ReXNet.md
├── RedNet.md
├── RegNet.md
├── RepVGG.md
├── Res2Net.md
├── ResNeSt.md
├── ResNeXt.md
├── ResNeXt101_wsl.md
├── ResNet.md
├── SENet.md
├── ShuffleNetV2.md
├── SwinTransformer.md
├── TNT.md
├── Twins.md
├── VAN.md
├── VGG.md
├── ViT.md
├── model_list.md
├── paddle_lite_benchmark.md
├── PP-ShiTu
├── PULC
├── PULC_car_exists.md
├── PULC_language_classification.md
├── PULC_person_attribute.md
├── PULC_person_exists.md
├── PULC_safety_helmet.md
├── PULC_text_image_orientation.md
├── PULC_textline_orientation.md
├── PULC_traffic_sign.md
├── PULC_vehicle_attribute.md
├── model_list.md
├── quick_start
├── PULC.md
├── overview.md
├── quick_start_classification_new_user.md
├── quick_start_classification_professional.md
├── quick_start_multilabel_classification.md
├── quick_start_recognition.md
├── samples
├── Electromobile_In_Elevator_Detection
├── imgs
├── result.png
├── Fresh_Food_Recogniiton
├── imgs
├── yingeo.png
├── Goods_Recognition
├── imgs
├── result.jpg
├── Personnel_Access
├── imgs
├── someone.gif
├── action_rec_by_classification.md
├── training
├── PP-ShiTu
├── deep_hashing.md
├── feature_extraction.md
├── mainbody_detection.md
├── PULC.md
├── advanced
├── feature_visiualization.md
├── knowledge_distillation.md
├── prune_quantization.md
├── ssld.md
├── theseus_layer.md
├── train_on_xpu.md
├── config_description
├── VisualDL.md
├── basic.md
├── data_augmentation.md
├── train_with_DALI.md
├── metric_learning
├── dataset.md
├── training.md
├── single_label_classification
├── dataset.md
├── distributed_training.md
├── training.md
├── training_strategy.md
├── version_history.md
├── hubconf.py
├── paddleclas.py
├── ppcls
├── __init__.py
├── arch
├── __init__.py
├── backbone
├── __init__.py
├── base
├── __init__.py
├── theseus_layer.py
├── legendary_models
├── __init__.py
├── esnet.py
├── hrnet.py
├── inception_v3.py
├── mobilenet_v1.py
├── mobilenet_v3.py
├── pp_hgnet.py
├── pp_lcnet.py
├── pp_lcnet_v2.py
├── resnet.py
├── swin_transformer.py
├── vgg.py
├── model_zoo
├── __init__.py
├── adaface_ir_net.py
├── alexnet.py
├── cae.py
├── convnext.py
├── cspnet.py
├── cswin_transformer.py
├── darknet.py
├── densenet.py
├── distilled_vision_transformer.py
├── dla.py
├── dpn.py
├── efficientnet.py
├── ghostnet.py
├── googlenet.py
├── gvt.py
├── hardnet.py
├── inception_v4.py
├── levit.py
├── mixnet.py
├── mobilenet_v2.py
├── mobilevit.py
├── peleenet.py
├── pvt_v2.py
├── rednet.py
├── regnet.py
├── repvgg.py
├── res2net.py
├── res2net_vd.py
├── resnest.py
├── resnet_vc.py
├── resnext.py
├── resnext101_wsl.py
├── resnext_vd.py
├── rexnet.py
├── se_resnet_vd.py
├── se_resnext.py
├── se_resnext_vd.py
├── shufflenet_v2.py
├── squeezenet.py
├── tnt.py
├── van.py
├── vision_transformer.py
├── xception.py
├── xception_deeplab.py
├── variant_models
├── __init__.py
├── pp_lcnet_variant.py
├── pp_lcnetv2_variant.py
├── resnet_variant.py
├── vgg_variant.py
├── distill
├── afd_attention.py
├── gears
├── __init__.py
├── adamargin.py
├── arcmargin.py
├── bnneck.py
├── circlemargin.py
├── cosmargin.py
├── fc.py
├── identity_head.py
├── vehicle_neck.py
├── slim
├── __init__.py
├── prune.py
├── quant.py
├── utils.py
├── configs
├── Attr
├── StrongBaselineAttr.yaml
├── CAE
├── cae_base_patch16_224_finetune.yaml
├── cae_large_patch16_224_finetune.yaml
├── Cartoonface
├── ResNet50_icartoon.yaml
├── DeepHash
├── DCH.yaml
├── DSHSD.yaml
├── LCDSH.yaml
├── GeneralRecognition
├── Gallery2FC_PPLCNet_x2_5.yaml
├── GeneralRecognition_PPLCNet_x2_5.yaml
├── GeneralRecognition_PPLCNet_x2_5_binary.yaml
├── GeneralRecognition_PPLCNet_x2_5_dml.yaml
├── GeneralRecognition_PPLCNet_x2_5_udml.yaml
├── GeneralRecognitionV2
├── GeneralRecognitionV2_PPLCNetV2_base.yaml
├── ImageNet
├── AlexNet
├── AlexNet.yaml
├── CSPNet
├── CSPDarkNet53.yaml
├── CSWinTransformer
├── CSWinTransformer_base_224.yaml
├── CSWinTransformer_base_384.yaml
├── CSWinTransformer_large_224.yaml
├── CSWinTransformer_large_384.yaml
├── CSWinTransformer_small_224.yaml
├── CSWinTransformer_tiny_224.yaml
├── ConvNeXt
├── ConvNeXt_tiny.yaml
├── DLA
├── DLA102.yaml
├── DLA102x.yaml
├── DLA102x2.yaml
├── DLA169.yaml
├── DLA34.yaml
├── DLA46_c.yaml
├── DLA46x_c.yaml
├── DLA60.yaml
├── DLA60x.yaml
├── DLA60x_c.yaml
├── DPN
├── DPN107.yaml
├── DPN131.yaml
├── DPN68.yaml
├── DPN92.yaml
├── DPN98.yaml
├── DarkNet
├── DarkNet53.yaml
├── DataAugment
├── ResNet50_AutoAugment.yaml
├── ResNet50_Baseline.yaml
├── ResNet50_Cutmix.yaml
├── ResNet50_Cutout.yaml
├── ResNet50_GridMask.yaml
├── ResNet50_HideAndSeek.yaml
├── ResNet50_Mixup.yaml
├── ResNet50_RandAugment.yaml
├── ResNet50_RandomErasing.yaml
├── DeiT
├── DeiT_base_distilled_patch16_224.yaml
├── DeiT_base_distilled_patch16_384.yaml
├── DeiT_base_patch16_224.yaml
├── DeiT_base_patch16_384.yaml
├── DeiT_small_distilled_patch16_224.yaml
├── DeiT_small_patch16_224.yaml
├── DeiT_tiny_distilled_patch16_224.yaml
├── DeiT_tiny_patch16_224.yaml
├── DenseNet
├── DenseNet121.yaml
├── DenseNet161.yaml
├── DenseNet169.yaml
├── DenseNet201.yaml
├── DenseNet264.yaml
├── Distillation
├── PPLCNet_x2_5_dml.yaml
├── PPLCNet_x2_5_ssld.yaml
├── PPLCNet_x2_5_udml.yaml
├── mv3_large_x1_0_distill_mv3_small_x1_0.yaml
├── res2net200_vd_distill_pphgnet_base.yaml
├── resnet34_distill_resnet18_afd.yaml
├── resnet34_distill_resnet18_dist.yaml
├── resnet34_distill_resnet18_dkd.yaml
├── resnet34_distill_resnet18_mgd.yaml
├── ESNet
├── ESNet_x0_25.yaml
├── ESNet_x0_5.yaml
├── ESNet_x0_75.yaml
├── ESNet_x1_0.yaml
├── EfficientNet
├── EfficientNetB0.yaml
├── EfficientNetB1.yaml
├── EfficientNetB2.yaml
├── EfficientNetB3.yaml
├── EfficientNetB4.yaml
├── EfficientNetB5.yaml
├── EfficientNetB6.yaml
├── EfficientNetB7.yaml
├── GhostNet
├── GhostNet_x0_5.yaml
├── GhostNet_x1_0.yaml
├── GhostNet_x1_3.yaml
├── HRNet
├── HRNet_W18_C.yaml
├── HRNet_W30_C.yaml
├── HRNet_W32_C.yaml
├── HRNet_W40_C.yaml
├── HRNet_W44_C.yaml
├── HRNet_W48_C.yaml
├── HRNet_W64_C.yaml
├── HarDNet
├── HarDNet39_ds.yaml
├── HarDNet68.yaml
├── HarDNet68_ds.yaml
├── HarDNet85.yaml
├── Inception
├── GoogLeNet.yaml
├── InceptionV3.yaml
├── InceptionV4.yaml
├── LeViT
├── LeViT_128.yaml
├── LeViT_128S.yaml
├── LeViT_192.yaml
├── LeViT_256.yaml
├── LeViT_384.yaml
├── MixNet
├── MixNet_L.yaml
├── MixNet_M.yaml
├── MixNet_S.yaml
├── MobileNetV1
├── MobileNetV1.yaml
├── MobileNetV1_x0_25.yaml
├── MobileNetV1_x0_5.yaml
├── MobileNetV1_x0_75.yaml
├── MobileNetV2
├── MobileNetV2.yaml
├── MobileNetV2_x0_25.yaml
├── MobileNetV2_x0_5.yaml
├── MobileNetV2_x0_75.yaml
├── MobileNetV2_x1_5.yaml
├── MobileNetV2_x2_0.yaml
├── MobileNetV3
├── MobileNetV3_large_x0_35.yaml
├── MobileNetV3_large_x0_5.yaml
├── MobileNetV3_large_x0_75.yaml
├── MobileNetV3_large_x1_0.yaml
├── MobileNetV3_large_x1_25.yaml
├── MobileNetV3_small_x0_35.yaml
├── MobileNetV3_small_x0_5.yaml
├── MobileNetV3_small_x0_75.yaml
├── MobileNetV3_small_x1_0.yaml
├── MobileNetV3_small_x1_25.yaml
├── MobileViT
├── MobileViT_S.yaml
├── MobileViT_XS.yaml
├── MobileViT_XXS.yaml
├── PPHGNet
├── PPHGNet_base.yaml
├── PPHGNet_small.yaml
├── PPHGNet_tiny.yaml
├── PPLCNet
├── PPLCNet_x0_25.yaml
├── PPLCNet_x0_35.yaml
├── PPLCNet_x0_5.yaml
├── PPLCNet_x0_75.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_5.yaml
├── PPLCNet_x2_0.yaml
├── PPLCNet_x2_5.yaml
├── PPLCNetV2
├── PPLCNetV2_base.yaml
├── PVTV2
├── PVT_V2_B0.yaml
├── PVT_V2_B1.yaml
├── PVT_V2_B2.yaml
├── PVT_V2_B2_Linear.yaml
├── PVT_V2_B3.yaml
├── PVT_V2_B4.yaml
├── PVT_V2_B5.yaml
├── PeleeNet
├── PeleeNet.yaml
├── ReXNet
├── ReXNet_1_0.yaml
├── ReXNet_1_3.yaml
├── ReXNet_1_5.yaml
├── ReXNet_2_0.yaml
├── ReXNet_3_0.yaml
├── RedNet
├── RedNet101.yaml
├── RedNet152.yaml
├── RedNet26.yaml
├── RedNet38.yaml
├── RedNet50.yaml
├── RepVGG
├── RepVGG_A0.yaml
├── RepVGG_A1.yaml
├── RepVGG_A2.yaml
├── RepVGG_B0.yaml
├── RepVGG_B1.yaml
├── RepVGG_B1g2.yaml
├── RepVGG_B1g4.yaml
├── RepVGG_B2.yaml
├── RepVGG_B2g4.yaml
├── RepVGG_B3g4.yaml
├── Res2Net
├── Res2Net101_vd_26w_4s.yaml
├── Res2Net200_vd_26w_4s.yaml
├── Res2Net50_14w_8s.yaml
├── Res2Net50_26w_4s.yaml
├── Res2Net50_vd_26w_4s.yaml
├── ResNeSt
├── ResNeSt101.yaml
├── ResNeSt50.yaml
├── ResNeSt50_fast_1s1x64d.yaml
├── ResNeXt
├── ResNeXt101_32x4d.yaml
├── ResNeXt101_64x4d.yaml
├── ResNeXt101_vd_32x4d.yaml
├── ResNeXt101_vd_64x4d.yaml
├── ResNeXt152_32x4d.yaml
├── ResNeXt152_64x4d.yaml
├── ResNeXt152_vd_32x4d.yaml
├── ResNeXt152_vd_64x4d.yaml
├── ResNeXt50_32x4d.yaml
├── ResNeXt50_64x4d.yaml
├── ResNeXt50_vd_32x4d.yaml
├── ResNeXt50_vd_64x4d.yaml
├── ResNeXt101_wsl
├── ResNeXt101_32x16d_wsl.yaml
├── ResNeXt101_32x32d_wsl.yaml
├── ResNeXt101_32x48d_wsl.yaml
├── ResNeXt101_32x8d_wsl.yaml
├── ResNet
├── ResNet101.yaml
├── ResNet101_vd.yaml
├── ResNet152.yaml
├── ResNet152_vd.yaml
├── ResNet18.yaml
├── ResNet18_vd.yaml
├── ResNet200_vd.yaml
├── ResNet34.yaml
├── ResNet34_vd.yaml
├── ResNet50.yaml
├── ResNet50_amp_O1.yaml
├── ResNet50_amp_O1_ultra.yaml
├── ResNet50_amp_O2_ultra.yaml
├── ResNet50_vd.yaml
├── SENet
├── SENet154_vd.yaml
├── SE_ResNeXt101_32x4d.yaml
├── SE_ResNeXt101_32x4d_amp_O2_ultra.yaml
├── SE_ResNeXt50_32x4d.yaml
├── SE_ResNeXt50_vd_32x4d.yaml
├── SE_ResNet18_vd.yaml
├── SE_ResNet34_vd.yaml
├── SE_ResNet50_vd.yaml
├── ShuffleNet
├── ShuffleNetV2_swish.yaml
├── ShuffleNetV2_x0_25.yaml
├── ShuffleNetV2_x0_33.yaml
├── ShuffleNetV2_x0_5.yaml
├── ShuffleNetV2_x1_0.yaml
├── ShuffleNetV2_x1_5.yaml
├── ShuffleNetV2_x2_0.yaml
├── SqueezeNet
├── SqueezeNet1_0.yaml
├── SqueezeNet1_1.yaml
├── SwinTransformer
├── SwinTransformer_base_patch4_window12_384.yaml
├── SwinTransformer_base_patch4_window7_224.yaml
├── SwinTransformer_large_patch4_window12_384.yaml
├── SwinTransformer_large_patch4_window7_224.yaml
├── SwinTransformer_small_patch4_window7_224.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── TNT
├── TNT_small.yaml
├── Twins
├── alt_gvt_base.yaml
├── alt_gvt_large.yaml
├── alt_gvt_small.yaml
├── pcpvt_base.yaml
├── pcpvt_large.yaml
├── pcpvt_small.yaml
├── VAN
├── VAN_B0.yaml
├── VGG
├── VGG11.yaml
├── VGG13.yaml
├── VGG16.yaml
├── VGG19.yaml
├── VisionTransformer
├── ViT_base_patch16_224.yaml
├── ViT_base_patch16_384.yaml
├── ViT_base_patch32_384.yaml
├── ViT_large_patch16_224.yaml
├── ViT_large_patch16_384.yaml
├── ViT_large_patch32_384.yaml
├── ViT_small_patch16_224.yaml
├── Xception
├── Xception41.yaml
├── Xception41_deeplab.yaml
├── Xception65.yaml
├── Xception65_deeplab.yaml
├── Xception71.yaml
├── Logo
├── ResNet50_ReID.yaml
├── PULC
├── car_exists
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── language_classification
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── person_attribute
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_Distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── Res2Net200_vd_26w_4s.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── person_exists
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── safety_helmet
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── Res2Net200_vd_26w_4s.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── text_image_orientation
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── textline_orientation
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_224x224.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── traffic_sign
├── MobileNetV3_samll_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── SwinTransformer_tiny_patch4_window7_224.yaml
├── search.yaml
├── vehicle_attribute
├── MobileNetV3_small_x0_35.yaml
├── PPLCNet_x1_0.yaml
├── PPLCNet_x1_0_distillation.yaml
├── PPLCNet_x1_0_search.yaml
├── Res2Net200_vd_26w_4s.yaml
├── ResNet50.yaml
├── search.yaml
├── Products
├── MV3_Large_1x_Aliproduct_DLBHC.yaml
├── ResNet50_vd_Aliproduct.yaml
├── ResNet50_vd_Inshop.yaml
├── ResNet50_vd_SOP.yaml
├── ResNet50_UReID_infer.yaml
├── StrategySearch
├── person.yaml
├── Vehicle
├── PPLCNet_2.5x_ReID.yaml
├── ResNet50.yaml
├── ResNet50_ReID.yaml
├── metric_learning
├── adaface_ir18.yaml
├── multi_scale
├── MobileNetV1_multi_scale.yaml
├── practical_models
├── .gitkeep
├── PPHGNet_tiny_calling_halfbody.yaml
├── quick_start
├── MobileNetV1_retrieval.yaml
├── MobileNetV3_large_x1_0.yaml
├── ResNet50_vd.yaml
├── kunlun
├── HRNet_W18_C_finetune_kunlun.yaml
├── ResNet50_vd_finetune_kunlun.yaml
├── VGG16_finetune_kunlun.yaml
├── VGG19_finetune_kunlun.yaml
├── new_user
├── ShuffleNetV2_x0_25.yaml
├── professional
├── MobileNetV1_multilabel.yaml
├── MobileNetV3_large_x1_0_CIFAR100_finetune.yaml
├── R50_vd_distill_MV3_large_x1_0_CIFAR100.yaml
├── ResNet50_vd_CIFAR100.yaml
├── ResNet50_vd_mixup_CIFAR100_finetune.yaml
├── VGG19_CIFAR10_DeepHash.yaml
├── reid
├── strong_baseline
├── baseline.yaml
├── softmax_triplet.yaml
├── softmax_triplet_with_center.yaml
├── slim
├── GeneralRecognition_PPLCNet_x2_5_quantization.yaml
├── MobileNetV3_large_x1_0_prune.yaml
├── MobileNetV3_large_x1_0_quantization.yaml
├── PPLCNet_x1_0_quantization.yaml
├── ResNet50_vd_prune.yaml
├── ResNet50_vd_quantization.yaml
├── ResNet50_vehicle_cls_prune.yaml
├── ResNet50_vehicle_cls_quantization.yaml
├── ResNet50_vehicle_reid_prune.yaml
├── ResNet50_vehicle_reid_quantization.yaml
├── data
├── __init__.py
├── dataloader
├── DistributedRandomIdentitySampler.py
├── __init__.py
├── common_dataset.py
├── dali.py
├── face_dataset.py
├── icartoon_dataset.py
├── imagenet_dataset.py
├── logo_dataset.py
├── mix_dataset.py
├── mix_sampler.py
├── multi_scale_dataset.py
├── multi_scale_sampler.py
├── multilabel_dataset.py
├── person_dataset.py
├── pk_sampler.py
├── vehicle_dataset.py
├── postprocess
├── __init__.py
├── attr_rec.py
├── threshoutput.py
├── topk.py
├── preprocess
├── __init__.py
├── batch_ops
├── __init__.py
├── batch_operators.py
├── ops
├── __init__.py
├── autoaugment.py
├── cutout.py
├── fmix.py
├── functional.py
├── grid.py
├── hide_and_seek.py
├── operators.py
├── randaugment.py
├── random_erasing.py
├── timm_autoaugment.py
├── utils
├── __init__.py
├── get_image_list.py
├── engine
├── __init__.py
├── engine.py
├── evaluation
├── __init__.py
├── adaface.py
├── classification.py
├── retrieval.py
├── train
├── __init__.py
├── train.py
├── utils.py
├── loss
├── __init__.py
├── afdloss.py
├── celoss.py
├── centerloss.py
├── comfunc.py
├── deephashloss.py
├── dist_loss.py
├── distanceloss.py
├── distillationloss.py
├── dkdloss.py
├── dmlloss.py
├── emlloss.py
├── googlenetloss.py
├── kldivloss.py
├── mgd_loss.py
├── msmloss.py
├── multilabelloss.py
├── npairsloss.py
├── pairwisecosface.py
├── rkdloss.py
├── softtargetceloss.py
├── supconloss.py
├── trihardloss.py
├── triplet.py
├── tripletangularmarginloss.py
├── metric
├── __init__.py
├── avg_metrics.py
├── metrics.py
├── optimizer
├── __init__.py
├── learning_rate.py
├── optimizer.py
├── static
├── program.py
├── run_dali.sh
├── save_load.py
├── train.py
├── utils
├── PULC_label_list
├── language_classification_label_list.txt
├── text_image_orientation_label_list.txt
├── textline_orientation_label_list.txt
├── traffic_sign_label_list.txt
├── __init__.py
├── check.py
├── config.py
├── download.py
├── ema.py
├── feature_maps_visualization
├── fm_vis.py
├── resnet.py
├── utils.py
├── gallery2fc.py
├── imagenet1k_label_list.txt
├── initializer.py
├── logger.py
├── metrics.py
├── misc.py
├── model_zoo.py
├── pretrained.list
├── profiler.py
├── save_load.py
├── pyproject.toml
├── readme.txt
├── requirements.txt
├── setup.py
├── test_tipc
├── benchmark_train.sh
├── common_func.sh
├── compare_results.py
├── configs
├── AlexNet
├── AlexNet_train_amp_infer_python.txt
├── AlexNet_train_infer_python.txt
├── CSPNet
├── CSPDarkNet53_train_amp_infer_python.txt
├── CSPDarkNet53_train_infer_python.txt
├── CSWinTransformer
├── CSWinTransformer_base_224_train_infer_python.txt
├── CSWinTransformer_base_384_train_infer_python.txt
├── CSWinTransformer_large_224_train_infer_python.txt
├── CSWinTransformer_large_384_train_infer_python.txt
├── CSWinTransformer_small_224_train_infer_python.txt
├── CSWinTransformer_tiny_224_train_infer_python.txt
├── ConvNeXt
├── ConvNeXt_tiny_train_infer_python.txt
├── DLA
├── DLA102_train_amp_infer_python.txt
├── DLA102_train_infer_python.txt
├── DLA102x2_train_amp_infer_python.txt
├── DLA102x2_train_infer_python.txt
├── DLA102x_train_amp_infer_python.txt
├── DLA102x_train_infer_python.txt
├── DLA169_train_amp_infer_python.txt
├── DLA169_train_infer_python.txt
├── DLA34_train_amp_infer_python.txt
├── DLA34_train_infer_python.txt
├── DLA46_c_train_amp_infer_python.txt
├── DLA46_c_train_infer_python.txt
├── DLA46x_c_train_amp_infer_python.txt
├── DLA46x_c_train_infer_python.txt
├── DLA60_train_amp_infer_python.txt
├── DLA60_train_infer_python.txt
├── DLA60x_c_train_amp_infer_python.txt
├── DLA60x_c_train_infer_python.txt
├── DLA60x_train_amp_infer_python.txt
├── DLA60x_train_infer_python.txt
├── DPN
├── DPN107_train_amp_infer_python.txt
├── DPN107_train_infer_python.txt
├── DPN131_train_amp_infer_python.txt
├── DPN131_train_infer_python.txt
├── DPN68_train_amp_infer_python.txt
├── DPN68_train_infer_python.txt
├── DPN92_train_amp_infer_python.txt
├── DPN92_train_infer_python.txt
├── DPN98_train_amp_infer_python.txt
├── DPN98_train_infer_python.txt
├── DarkNet
├── DarkNet53_train_amp_infer_python.txt
├── DarkNet53_train_infer_python.txt
├── DeiT
├── DeiT_base_patch16_224_train_amp_infer_python.txt
├── DeiT_base_patch16_224_train_infer_python.txt
├── DeiT_base_patch16_384_train_amp_infer_python.txt
├── DeiT_base_patch16_384_train_infer_python.txt
├── DeiT_small_patch16_224_train_amp_infer_python.txt
├── DeiT_small_patch16_224_train_infer_python.txt
├── DeiT_tiny_patch16_224_train_amp_infer_python.txt
├── DeiT_tiny_patch16_224_train_infer_python.txt
├── DenseNet
├── DenseNet121_train_amp_infer_python.txt
├── DenseNet121_train_infer_python.txt
├── DenseNet161_train_amp_infer_python.txt
├── DenseNet161_train_infer_python.txt
├── DenseNet169_train_amp_infer_python.txt
├── DenseNet169_train_infer_python.txt
├── DenseNet201_train_amp_infer_python.txt
├── DenseNet201_train_infer_python.txt
├── DenseNet264_train_amp_infer_python.txt
├── DenseNet264_train_infer_python.txt
├── Distillation
├── resnet34_distill_resnet18_dkd_train_amp_infer_python.txt
├── resnet34_distill_resnet18_dkd_train_infer_python.txt
├── ESNet
├── ESNet_x0_25_train_amp_infer_python.txt
├── ESNet_x0_25_train_infer_python.txt
├── ESNet_x0_5_train_amp_infer_python.txt
├── ESNet_x0_5_train_infer_python.txt
├── ESNet_x0_75_train_amp_infer_python.txt
├── ESNet_x0_75_train_infer_python.txt
├── ESNet_x1_0_train_amp_infer_python.txt
├── ESNet_x1_0_train_infer_python.txt
├── EfficientNet
├── EfficientNetB0_train_amp_infer_python.txt
├── EfficientNetB0_train_infer_python.txt
├── EfficientNetB1_train_amp_infer_python.txt
├── EfficientNetB1_train_infer_python.txt
├── EfficientNetB2_train_amp_infer_python.txt
├── EfficientNetB2_train_infer_python.txt
├── EfficientNetB3_train_amp_infer_python.txt
├── EfficientNetB3_train_infer_python.txt
├── EfficientNetB4_train_amp_infer_python.txt
├── EfficientNetB4_train_infer_python.txt
├── EfficientNetB5_train_amp_infer_python.txt
├── EfficientNetB5_train_infer_python.txt
├── EfficientNetB6_train_amp_infer_python.txt
├── EfficientNetB6_train_infer_python.txt
├── EfficientNetB7_train_amp_infer_python.txt
├── EfficientNetB7_train_infer_python.txt
├── GeneralRecognition
├── GeneralRecognition_PPLCNet_x2_5_train_custom_sampler.txt
├── GeneralRecognition_PPLCNet_x2_5_train_infer_python.txt
├── GeneralRecognition_PPLCNet_x2_5_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── GeneralRecognition_PPLCNet_x2_5_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── GeneralRecognition_PPLCNet_x2_5_train_multicard_eval.txt
├── GeneralRecognition_PPLCNet_x2_5_train_no_eval.txt
├── GeneralRecognition_PPLCNet_x2_5_train_pact_infer_python.txt
├── GeneralRecognition_PPLCNet_x2_5_train_ptq_infer_python.txt
├── GeneralRecognitionV2
├── GeneralRecognitionV2_PPLCNetV2_base_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── GeneralRecognitionV2_PPLCNetV2_base_train_infer_python.txt
├── GeneralRecognitionV2_PPLCNetV2_base_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── GeneralRecognitionV2_PPLCNetV2_base_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── GeneralRecognitionV2_PPLCNetV2_base_train_pact_infer_python.txt
├── GeneralRecognitionV2_PPLCNetV2_base_train_ptq_infer_python.txt
├── GhostNet
├── GhostNet_x0_5_train_amp_infer_python.txt
├── GhostNet_x0_5_train_infer_python.txt
├── GhostNet_x1_0_train_amp_infer_python.txt
├── GhostNet_x1_0_train_infer_python.txt
├── GhostNet_x1_3_train_amp_infer_python.txt
├── GhostNet_x1_3_train_infer_python.txt
├── HRNet
├── HRNet_W18_C_train_amp_infer_python.txt
├── HRNet_W18_C_train_infer_python.txt
├── HRNet_W30_C_train_amp_infer_python.txt
├── HRNet_W30_C_train_infer_python.txt
├── HRNet_W32_C_train_amp_infer_python.txt
├── HRNet_W32_C_train_infer_python.txt
├── HRNet_W40_C_train_amp_infer_python.txt
├── HRNet_W40_C_train_infer_python.txt
├── HRNet_W44_C_train_amp_infer_python.txt
├── HRNet_W44_C_train_infer_python.txt
├── HRNet_W48_C_train_amp_infer_python.txt
├── HRNet_W48_C_train_infer_python.txt
├── HRNet_W64_C_train_amp_infer_python.txt
├── HRNet_W64_C_train_infer_python.txt
├── HarDNet
├── HarDNet39_ds_train_amp_infer_python.txt
├── HarDNet39_ds_train_infer_python.txt
├── HarDNet68_ds_train_amp_infer_python.txt
├── HarDNet68_ds_train_infer_python.txt
├── HarDNet68_train_amp_infer_python.txt
├── HarDNet68_train_infer_python.txt
├── HarDNet85_train_amp_infer_python.txt
├── HarDNet85_train_infer_python.txt
├── Inception
├── GoogLeNet_train_amp_infer_python.txt
├── GoogLeNet_train_infer_python.txt
├── InceptionV3_train_amp_infer_python.txt
├── InceptionV3_train_infer_python.txt
├── InceptionV4_train_amp_infer_python.txt
├── InceptionV4_train_infer_python.txt
├── LeViT
├── LeViT_128S_train_amp_infer_python.txt
├── LeViT_128S_train_infer_python.txt
├── LeViT_128_train_amp_infer_python.txt
├── LeViT_128_train_infer_python.txt
├── LeViT_192_train_amp_infer_python.txt
├── LeViT_192_train_infer_python.txt
├── LeViT_256_train_amp_infer_python.txt
├── LeViT_256_train_infer_python.txt
├── LeViT_384_train_amp_infer_python.txt
├── LeViT_384_train_infer_python.txt
├── MixNet
├── MixNet_L_train_amp_infer_python.txt
├── MixNet_L_train_infer_python.txt
├── MixNet_M_train_amp_infer_python.txt
├── MixNet_M_train_infer_python.txt
├── MixNet_S_train_amp_infer_python.txt
├── MixNet_S_train_infer_python.txt
├── MobileNetV1
├── MobileNetV1_train_amp_infer_python.txt
├── MobileNetV1_train_infer_python.txt
├── MobileNetV1_x0_25_train_amp_infer_python.txt
├── MobileNetV1_x0_25_train_infer_python.txt
├── MobileNetV1_x0_5_train_amp_infer_python.txt
├── MobileNetV1_x0_5_train_infer_python.txt
├── MobileNetV1_x0_75_train_amp_infer_python.txt
├── MobileNetV1_x0_75_train_infer_python.txt
├── MobileNetV2
├── MobileNetV2_train_amp_infer_python.txt
├── MobileNetV2_train_infer_python.txt
├── MobileNetV2_x0_25_train_amp_infer_python.txt
├── MobileNetV2_x0_25_train_infer_python.txt
├── MobileNetV2_x0_5_train_amp_infer_python.txt
├── MobileNetV2_x0_5_train_infer_python.txt
├── MobileNetV2_x0_75_train_amp_infer_python.txt
├── MobileNetV2_x0_75_train_infer_python.txt
├── MobileNetV2_x1_5_train_amp_infer_python.txt
├── MobileNetV2_x1_5_train_infer_python.txt
├── MobileNetV2_x2_0_train_amp_infer_python.txt
├── MobileNetV2_x2_0_train_infer_python.txt
├── MobileNetV3
├── MobileNetV3_large_x0_35_train_amp_infer_python.txt
├── MobileNetV3_large_x0_35_train_infer_python.txt
├── MobileNetV3_large_x0_5_train_amp_infer_python.txt
├── MobileNetV3_large_x0_5_train_infer_python.txt
├── MobileNetV3_large_x0_75_train_amp_infer_python.txt
├── MobileNetV3_large_x0_75_train_infer_python.txt
├── MobileNetV3_large_x1_0_FPGM_train_amp_infer_python.txt
├── MobileNetV3_large_x1_0_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_PACT_train_amp_infer_python.txt
├── MobileNetV3_large_x1_0_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── MobileNetV3_large_x1_0_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_lite_arm_cpu_cpp.txt
├── MobileNetV3_large_x1_0_train_amp_infer_python.txt
├── MobileNetV3_large_x1_0_train_infer_python.txt
├── MobileNetV3_large_x1_0_train_linux_gpu_fleet_amp_infer_python_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── MobileNetV3_large_x1_0_train_pact_infer_python.txt
├── MobileNetV3_large_x1_0_train_ptq_infer_python.txt
├── MobileNetV3_large_x1_25_train_amp_infer_python.txt
├── MobileNetV3_large_x1_25_train_infer_python.txt
├── MobileNetV3_small_x0_35_train_amp_infer_python.txt
├── MobileNetV3_small_x0_35_train_infer_python.txt
├── MobileNetV3_small_x0_5_train_amp_infer_python.txt
├── MobileNetV3_small_x0_5_train_infer_python.txt
├── MobileNetV3_small_x0_75_train_amp_infer_python.txt
├── MobileNetV3_small_x0_75_train_infer_python.txt
├── MobileNetV3_small_x1_0_train_amp_infer_python.txt
├── MobileNetV3_small_x1_0_train_infer_python.txt
├── MobileNetV3_small_x1_25_train_amp_infer_python.txt
├── MobileNetV3_small_x1_25_train_infer_python.txt
├── MobileViT
├── MobileViT_S_train_infer_python.txt
├── MobileViT_XS_train_infer_python.txt
├── MobileViT_XXS_train_infer_python.txt
├── PP-ShiTu
├── PPShiTu_general_rec_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPShiTu_general_rec_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPShiTu_general_rec_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPShiTu_general_rec_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPShiTu_general_rec_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPShiTu_general_rec_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPShiTu_general_rec_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPShiTu_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPShiTu_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPShiTu_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPShiTu_mainbody_det_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PP-ShiTuV2
├── PPShiTuV2_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPShiTuV2_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPShiTuV2_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPShiTuV2_mainbody_det_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPHGNet
├── PPHGNet_small_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPHGNet_small_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPHGNet_small_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPHGNet_small_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPHGNet_small_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPHGNet_small_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPHGNet_small_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPHGNet_small_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPHGNet_small_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPHGNet_small_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPHGNet_small_train_infer_python.txt
├── PPHGNet_small_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPHGNet_small_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPHGNet_small_train_pact_infer_python.txt
├── PPHGNet_small_train_ptq_infer_python.txt
├── PPHGNet_tiny_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPHGNet_tiny_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPHGNet_tiny_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPHGNet_tiny_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPHGNet_tiny_train_infer_python.txt
├── PPHGNet_tiny_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPHGNet_tiny_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPHGNet_tiny_train_pact_infer_python.txt
├── PPHGNet_tiny_train_ptq_infer_python.txt
├── PPLCNet
├── PPLCNet_x0_25_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_25_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x0_25_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_25_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x0_25_lite_arm_cpu_cpp.txt
├── PPLCNet_x0_25_train_infer_python.txt
├── PPLCNet_x0_25_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_25_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_25_train_pact_infer_python.txt
├── PPLCNet_x0_25_train_ptq_infer_python.txt
├── PPLCNet_x0_35_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_35_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x0_35_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_35_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x0_35_train_infer_python.txt
├── PPLCNet_x0_35_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_35_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_35_train_pact_infer_python.txt
├── PPLCNet_x0_35_train_ptq_infer_python.txt
├── PPLCNet_x0_5_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_5_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x0_5_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_5_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x0_5_lite_arm_cpu_cpp.txt
├── PPLCNet_x0_5_train_infer_python.txt
├── PPLCNet_x0_5_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_5_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_5_train_pact_infer_python.txt
├── PPLCNet_x0_5_train_ptq_infer_python.txt
├── PPLCNet_x0_75_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_75_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x0_75_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x0_75_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x0_75_lite_arm_cpu_cpp.txt
├── PPLCNet_x0_75_train_infer_python.txt
├── PPLCNet_x0_75_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_75_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x0_75_train_pact_infer_python.txt
├── PPLCNet_x0_75_train_ptq_infer_python.txt
├── PPLCNet_x1_0_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_0_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_0_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x1_0_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_0_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_0_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x1_0_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_0_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x1_0_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_0_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x1_0_lite_arm_cpu_cpp.txt
├── PPLCNet_x1_0_train_infer_python.txt
├── PPLCNet_x1_0_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x1_0_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x1_0_train_pact_infer_python.txt
├── PPLCNet_x1_0_train_ptq_infer_python.txt
├── PPLCNet_x1_5_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_5_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x1_5_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x1_5_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x1_5_lite_arm_cpu_cpp.txt
├── PPLCNet_x1_5_train_infer_python.txt
├── PPLCNet_x1_5_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x1_5_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x1_5_train_pact_infer_python.txt
├── PPLCNet_x1_5_train_ptq_infer_python.txt
├── PPLCNet_x2_0_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x2_0_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x2_0_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x2_0_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x2_0_lite_arm_cpu_cpp.txt
├── PPLCNet_x2_0_train_infer_python.txt
├── PPLCNet_x2_0_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x2_0_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x2_0_train_pact_infer_python.txt
├── PPLCNet_x2_0_train_ptq_infer_python.txt
├── PPLCNet_x2_5_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNet_x2_5_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNet_x2_5_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNet_x2_5_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNet_x2_5_lite_arm_cpu_cpp.txt
├── PPLCNet_x2_5_train_amp_infer_python.txt
├── PPLCNet_x2_5_train_infer_python.txt
├── PPLCNet_x2_5_train_linux_gpu_fleet_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x2_5_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x2_5_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNet_x2_5_train_pact_infer_python.txt
├── PPLCNet_x2_5_train_ptq_infer_python.txt
├── PPLCNetV2
├── PPLCNetV2_base_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNetV2_base_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNetV2_base_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNetV2_base_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNetV2_base_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNetV2_base_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNetV2_base_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── PPLCNetV2_base_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── PPLCNetV2_base_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── PPLCNetV2_base_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── PPLCNetV2_base_train_infer_python.txt
├── PPLCNetV2_base_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── PPLCNetV2_base_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── PPLCNetV2_base_train_pact_infer_python.txt
├── PPLCNetV2_base_train_ptq_infer_python.txt
├── PVTV2
├── PVT_V2_B0_train_infer_python.txt
├── PVT_V2_B1_train_infer_python.txt
├── PVT_V2_B2_Linear_train_infer_python.txt
├── PVT_V2_B2_train_infer_python.txt
├── PVT_V2_B3_train_infer_python.txt
├── PVT_V2_B4_train_infer_python.txt
├── PVT_V2_B5_train_infer_python.txt
├── PeleeNet
├── PeleeNet_train_infer_python.txt
├── ReXNet
├── ReXNet_1_0_train_amp_infer_python.txt
├── ReXNet_1_0_train_infer_python.txt
├── ReXNet_1_3_train_amp_infer_python.txt
├── ReXNet_1_3_train_infer_python.txt
├── ReXNet_1_5_train_amp_infer_python.txt
├── ReXNet_1_5_train_infer_python.txt
├── ReXNet_2_0_train_amp_infer_python.txt
├── ReXNet_2_0_train_infer_python.txt
├── ReXNet_3_0_train_amp_infer_python.txt
├── ReXNet_3_0_train_infer_python.txt
├── RedNet
├── RedNet101_train_amp_infer_python.txt
├── RedNet101_train_infer_python.txt
├── RedNet152_train_amp_infer_python.txt
├── RedNet152_train_infer_python.txt
├── RedNet26_train_amp_infer_python.txt
├── RedNet26_train_infer_python.txt
├── RedNet38_train_amp_infer_python.txt
├── RedNet38_train_infer_python.txt
├── RedNet50_train_amp_infer_python.txt
├── RedNet50_train_infer_python.txt
├── Res2Net
├── Res2Net101_vd_26w_4s_train_amp_infer_python.txt
├── Res2Net101_vd_26w_4s_train_infer_python.txt
├── Res2Net200_vd_26w_4s_train_amp_infer_python.txt
├── Res2Net200_vd_26w_4s_train_infer_python.txt
├── Res2Net50_14w_8s_train_amp_infer_python.txt
├── Res2Net50_14w_8s_train_infer_python.txt
├── Res2Net50_26w_4s_train_amp_infer_python.txt
├── Res2Net50_26w_4s_train_infer_python.txt
├── Res2Net50_vd_26w_4s_train_amp_infer_python.txt
├── Res2Net50_vd_26w_4s_train_infer_python.txt
├── ResNeSt
├── ResNeSt50_fast_1s1x64d_train_amp_infer_python.txt
├── ResNeSt50_fast_1s1x64d_train_infer_python.txt
├── ResNeSt50_train_amp_infer_python.txt
├── ResNeSt50_train_infer_python.txt
├── ResNeXt
├── ResNeXt101_32x4d_train_amp_infer_python.txt
├── ResNeXt101_32x4d_train_infer_python.txt
├── ResNeXt101_64x4d_train_amp_infer_python.txt
├── ResNeXt101_64x4d_train_infer_python.txt
├── ResNeXt101_vd_32x4d_train_amp_infer_python.txt
├── ResNeXt101_vd_32x4d_train_infer_python.txt
├── ResNeXt101_vd_64x4d_train_amp_infer_python.txt
├── ResNeXt101_vd_64x4d_train_infer_python.txt
├── ResNeXt152_32x4d_train_amp_infer_python.txt
├── ResNeXt152_32x4d_train_infer_python.txt
├── ResNeXt152_64x4d_train_amp_infer_python.txt
├── ResNeXt152_64x4d_train_infer_python.txt
├── ResNeXt152_vd_32x4d_train_amp_infer_python.txt
├── ResNeXt152_vd_32x4d_train_infer_python.txt
├── ResNeXt152_vd_64x4d_train_amp_infer_python.txt
├── ResNeXt152_vd_64x4d_train_infer_python.txt
├── ResNeXt50_32x4d_train_amp_infer_python.txt
├── ResNeXt50_32x4d_train_infer_python.txt
├── ResNeXt50_64x4d_train_amp_infer_python.txt
├── ResNeXt50_64x4d_train_infer_python.txt
├── ResNeXt50_vd_32x4d_train_amp_infer_python.txt
├── ResNeXt50_vd_32x4d_train_infer_python.txt
├── ResNeXt50_vd_64x4d_train_amp_infer_python.txt
├── ResNeXt50_vd_64x4d_train_infer_python.txt
├── ResNet
├── ResNet101_train_amp_infer_python.txt
├── ResNet101_train_infer_python.txt
├── ResNet101_vd_train_amp_infer_python.txt
├── ResNet101_vd_train_infer_python.txt
├── ResNet152_train_amp_infer_python.txt
├── ResNet152_train_infer_python.txt
├── ResNet152_vd_train_amp_infer_python.txt
├── ResNet152_vd_train_infer_python.txt
├── ResNet18_train_amp_infer_python.txt
├── ResNet18_train_infer_python.txt
├── ResNet18_vd_train_amp_infer_python.txt
├── ResNet18_vd_train_infer_python.txt
├── ResNet200_vd_train_amp_infer_python.txt
├── ResNet200_vd_train_infer_python.txt
├── ResNet34_train_amp_infer_python.txt
├── ResNet34_train_infer_python.txt
├── ResNet34_vd_train_amp_infer_python.txt
├── ResNet34_vd_train_infer_python.txt
├── ResNet50_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── ResNet50_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── ResNet50_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── ResNet50_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── ResNet50_lite_arm_cpu_cpp.txt
├── ResNet50_train_ampfp16_infer_python.txt
├── ResNet50_train_infer_python.txt
├── ResNet50_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── ResNet50_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── ResNet50_train_pact_infer_python.txt
├── ResNet50_train_ptq_infer_python.txt
├── ResNet50_vd_FPGM_train_amp_infer_python.txt
├── ResNet50_vd_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── ResNet50_vd_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── ResNet50_vd_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── ResNet50_vd_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── ResNet50_vd_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── ResNet50_vd_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── ResNet50_vd_PACT_train_amp_infer_python.txt
├── ResNet50_vd_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── ResNet50_vd_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── ResNet50_vd_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── ResNet50_vd_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── ResNet50_vd_lite_arm_cpu_cpp.txt
├── ResNet50_vd_train_amp_infer_python.txt
├── ResNet50_vd_train_infer_python.txt
├── ResNet50_vd_train_linux_gpu_fleet_amp_infer_python_linux_gpu_cpu.txt
├── ResNet50_vd_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── ResNet50_vd_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── ResNet50_vd_train_linux_gpu_use_dali.txt
├── ResNet50_vd_train_pact_infer_python.txt
├── ResNet50_vd_train_ptq_infer_python.txt
├── SENet
├── SENet154_vd_train_amp_infer_python.txt
├── SENet154_vd_train_infer_python.txt
├── SE_ResNeXt101_32x4d_train_amp_infer_python.txt
├── SE_ResNeXt101_32x4d_train_infer_python.txt
├── SE_ResNeXt50_32x4d_train_amp_infer_python.txt
├── SE_ResNeXt50_32x4d_train_infer_python.txt
├── SE_ResNeXt50_vd_32x4d_train_amp_infer_python.txt
├── SE_ResNeXt50_vd_32x4d_train_infer_python.txt
├── SE_ResNet18_vd_train_amp_infer_python.txt
├── SE_ResNet18_vd_train_infer_python.txt
├── SE_ResNet34_vd_train_amp_infer_python.txt
├── SE_ResNet34_vd_train_infer_python.txt
├── SE_ResNet50_vd_train_amp_infer_python.txt
├── SE_ResNet50_vd_train_infer_python.txt
├── ShuffleNet
├── ShuffleNetV2_swish_train_amp_infer_python.txt
├── ShuffleNetV2_swish_train_infer_python.txt
├── ShuffleNetV2_x0_25_train_amp_infer_python.txt
├── ShuffleNetV2_x0_25_train_infer_python.txt
├── ShuffleNetV2_x0_33_train_amp_infer_python.txt
├── ShuffleNetV2_x0_33_train_infer_python.txt
├── ShuffleNetV2_x0_5_train_amp_infer_python.txt
├── ShuffleNetV2_x0_5_train_infer_python.txt
├── ShuffleNetV2_x1_0_train_amp_infer_python.txt
├── ShuffleNetV2_x1_0_train_infer_python.txt
├── ShuffleNetV2_x1_5_train_amp_infer_python.txt
├── ShuffleNetV2_x1_5_train_infer_python.txt
├── ShuffleNetV2_x2_0_train_amp_infer_python.txt
├── ShuffleNetV2_x2_0_train_infer_python.txt
├── SqueezeNet
├── SqueezeNet1_0_train_amp_infer_python.txt
├── SqueezeNet1_0_train_infer_python.txt
├── SqueezeNet1_1_train_amp_infer_python.txt
├── SqueezeNet1_1_train_infer_python.txt
├── SwinTransformer
├── SwinTransformer_base_patch4_window12_384_train_amp_infer_python.txt
├── SwinTransformer_base_patch4_window12_384_train_infer_python.txt
├── SwinTransformer_base_patch4_window7_224_train_amp_infer_python.txt
├── SwinTransformer_base_patch4_window7_224_train_infer_python.txt
├── SwinTransformer_large_patch4_window12_384_train_amp_infer_python.txt
├── SwinTransformer_large_patch4_window12_384_train_infer_python.txt
├── SwinTransformer_large_patch4_window7_224_train_amp_infer_python.txt
├── SwinTransformer_large_patch4_window7_224_train_infer_python.txt
├── SwinTransformer_small_patch4_window7_224_train_amp_infer_python.txt
├── SwinTransformer_small_patch4_window7_224_train_infer_python.txt
├── SwinTransformer_tiny_patch4_window7_224_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_PACT_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_PACT_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_PACT_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_lite_arm_cpu_cpp.txt
├── SwinTransformer_tiny_patch4_window7_224_train_infer_python.txt
├── SwinTransformer_tiny_patch4_window7_224_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt
├── SwinTransformer_tiny_patch4_window7_224_train_pact_infer_python.txt
├── SwinTransformer_tiny_patch4_window7_224_train_ptq_infer_python.txt
├── TNT
├── TNT_small_train_amp_infer_python.txt
├── TNT_small_train_infer_python.txt
├── Twins
├── alt_gvt_base_train_amp_infer_python.txt
├── alt_gvt_base_train_infer_python.txt
├── alt_gvt_large_train_amp_infer_python.txt
├── alt_gvt_large_train_infer_python.txt
├── alt_gvt_small_train_amp_infer_python.txt
├── alt_gvt_small_train_infer_python.txt
├── pcpvt_base_train_amp_infer_python.txt
├── pcpvt_base_train_infer_python.txt
├── pcpvt_large_train_amp_infer_python.txt
├── pcpvt_large_train_infer_python.txt
├── pcpvt_small_train_amp_infer_python.txt
├── pcpvt_small_train_infer_python.txt
├── VAN
├── VAN_tiny_train_infer_python.txt
├── VGG
├── VGG11_train_amp_infer_python.txt
├── VGG11_train_infer_python.txt
├── VGG13_train_amp_infer_python.txt
├── VGG13_train_infer_python.txt
├── VGG16_train_amp_infer_python.txt
├── VGG16_train_infer_python.txt
├── VGG19_train_amp_infer_python.txt
├── VGG19_train_infer_python.txt
├── VisionTransformer
├── ViT_base_patch16_224_train_amp_infer_python.txt
├── ViT_base_patch16_224_train_infer_python.txt
├── ViT_base_patch16_384_train_amp_infer_python.txt
├── ViT_base_patch16_384_train_infer_python.txt
├── ViT_base_patch32_384_train_amp_infer_python.txt
├── ViT_base_patch32_384_train_infer_python.txt
├── ViT_large_patch16_224_train_amp_infer_python.txt
├── ViT_large_patch16_224_train_infer_python.txt
├── ViT_large_patch16_384_train_amp_infer_python.txt
├── ViT_large_patch16_384_train_infer_python.txt
├── ViT_large_patch32_384_train_amp_infer_python.txt
├── ViT_large_patch32_384_train_infer_python.txt
├── ViT_small_patch16_224_train_amp_infer_python.txt
├── ViT_small_patch16_224_train_infer_python.txt
├── Xception
├── Xception41_deeplab_train_amp_infer_python.txt
├── Xception41_deeplab_train_infer_python.txt
├── Xception41_train_amp_infer_python.txt
├── Xception41_train_infer_python.txt
├── Xception65_deeplab_train_amp_infer_python.txt
├── Xception65_deeplab_train_infer_python.txt
├── Xception65_train_amp_infer_python.txt
├── Xception65_train_infer_python.txt
├── Xception71_train_amp_infer_python.txt
├── Xception71_train_infer_python.txt
├── docs
├── benchmark_train.md
├── compare_cpp_right.png
├── compare_cpp_wrong.png
├── compare_right.png
├── compare_wrong.png
├── guide.png
├── install.md
├── test.png
├── test_inference_cpp.md
├── test_lite_arm_cpu_cpp.md
├── test_paddle2onnx.md
├── test_serving_infer_cpp.md
├── test_serving_infer_python.md
├── test_train_amp_inference_python.md
├── test_train_fleet_inference_python.md
├── test_train_inference_python.md
├── test_train_pact_inference_python.md
├── test_train_ptq_inference_python.md
├── eval_all_models.sh
├── generate_cpp_yaml.py
├── prepare.sh
├── prepare_lite_arm_cpu_cpp.sh
├── static
├── ResNet50
├── N1C1
├── ResNet50_bs128_amp_fp16_DP.sh
├── ResNet50_bs128_fp32_DP.sh
├── ResNet50_bs128_pure_fp16_DP.sh
├── ResNet50_bs256_amp_fp16_DP.sh
├── ResNet50_bs256_fp32_DP.sh
├── ResNet50_bs256_pure_fp16_DP.sh
├── ResNet50_bs64_amp_fp16_DP.sh
├── ResNet50_bs64_fp32_DP.sh
├── ResNet50_bs64_pure_fp16_DP.sh
├── N1C8
├── ResNet50_bs128_amp_fp16_DP.sh
├── ResNet50_bs128_fp32_DP.sh
├── ResNet50_bs128_pure_fp16_DP.sh
├── ResNet50_bs256_amp_fp16_DP.sh
├── ResNet50_bs256_fp32_DP.sh
├── ResNet50_bs256_pure_fp16_DP.sh
├── ResNet50_bs64_amp_fp16_DP.sh
├── ResNet50_bs64_fp32_DP.sh
├── ResNet50_bs64_pure_fp16_DP.sh
├── N4C32
├── ResNet50_bs128_amp_fp16_DP.sh
├── ResNet50_bs128_fp32_DP.sh
├── ResNet50_bs128_pure_fp16_DP.sh
├── ResNet50_bs256_amp_fp16_DP.sh
├── ResNet50_bs256_fp32_DP.sh
├── ResNet50_bs256_pure_fp16_DP.sh
├── ResNet50_bs64_amp_fp16_DP.sh
├── ResNet50_bs64_fp32_DP.sh
├── ResNet50_bs64_pure_fp16_DP.sh
├── benchmark_common
├── prepare.sh
├── run_benchmark.sh
├── test_inference_cpp.sh
├── test_inference_jeston.sh
├── test_lite_arm_cpu_cpp.sh
├── test_paddle2onnx.sh
├── test_ptq_inference_python.sh
├── test_serving_infer_cpp.sh
├── test_serving_infer_python.sh
├── test_train_inference_python.sh
├── test_train_inference_python_npu.sh
├── test_train_inference_python_xpu.sh
├── tests
├── config
├── DarkNet53.txt
├── GhostNet_x0_5.txt
├── GhostNet_x1_0.txt
├── GhostNet_x1_3.txt
├── HRNet_W18_C.txt
├── LeViT_128S.txt
├── MobileNetV1.txt
├── MobileNetV1_x0_25.txt
├── MobileNetV1_x0_5.txt
├── MobileNetV1_x0_75.txt
├── MobileNetV2.txt
├── MobileNetV2_x0_25.txt
├── MobileNetV2_x0_5.txt
├── MobileNetV2_x0_75.txt
├── MobileNetV2_x1_5.txt
├── MobileNetV2_x2_0.txt
├── MobileNetV3_large_x0_35.txt
├── MobileNetV3_large_x0_5.txt
├── MobileNetV3_large_x0_75.txt
├── MobileNetV3_large_x1_0.txt
├── MobileNetV3_large_x1_25.txt
├── MobileNetV3_small_x0_35.txt
├── MobileNetV3_small_x0_5.txt
├── MobileNetV3_small_x0_75.txt
├── MobileNetV3_small_x1_0.txt
├── MobileNetV3_small_x1_25.txt
├── PPLCNet_x0_25.txt
├── PPLCNet_x0_35.txt
├── PPLCNet_x0_5.txt
├── PPLCNet_x1_0.txt
├── ResNeXt101_vd_64x4d.txt
├── ResNet50_vd.txt
├── ShuffleNetV2_x0_25.txt
├── ShuffleNetV2_x0_33.txt
├── ShuffleNetV2_x0_5.txt
├── ShuffleNetV2_x1_0.txt
├── SwinTransformer_tiny_patch4_window7_224.txt
├── cpp_config.txt
├── prepare.sh
├── test.sh
├── tools
├── __init__.py
├── eval.py
├── eval.sh
├── export_model.py
├── infer.py
├── run.sh
├── search_strategy.py
├── train.py
├── train.sh
├── version.txt
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【课程设计】基于百度飞桨paddle实现语音情感识别源码+项目说明.zip
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源码说明:源码统一放在百度云盘存储下载,如下载失败可联系本人补发邮箱~~~~~
【课程设计】基于百度飞桨paddle实现语音情感识别源码+项目说明.zip
