├── README.md
├── README_EN.md
├── __pycache__
├── en_t2t_model.cpython-39.pyc
├── qa_on_context.cpython-39.pyc
├── qa_on_image.cpython-39.pyc
├── qa_on_pic.cpython-39.pyc
└── zh_mt5_model.cpython-39.pyc
├── app.py
├── doc
├── PaddleOCR_log.png
├── banner.png
├── datasets
│ ├── ArT.jpg
│ ├── CASIA_0.jpg
│ ├── CDLA_demo
│ │ ├── val_0633.jpg
│ │ └── val_0941.jpg
│ ├── LSVT_1.jpg
│ ├── LSVT_2.jpg
│ ├── VoTT.jpg
│ ├── captcha_demo.png
│ ├── ccpd_demo.png
│ ├── ch_doc1.jpg
│ ├── ch_doc3.jpg
│ ├── ch_street_rec_1.png
│ ├── ch_street_rec_2.png
│ ├── cmb_demo.jpg
│ ├── crohme_demo
│ │ ├── hme_00.jpg
│ │ ├── hme_01.jpg
│ │ └── hme_02.jpg
│ ├── doc.jpg
│ ├── funsd_demo
│ │ ├── gt_train_00040534.jpg
│ │ └── gt_train_00070353.jpg
│ ├── ic15_location_download.png
│ ├── icdar_rec.png
│ ├── labelimg.jpg
│ ├── labelme.jpg
│ ├── nist_demo.png
│ ├── publaynet_demo
│ │ ├── gt_PMC3724501_00006.jpg
│ │ └── gt_PMC5086060_00002.jpg
│ ├── rctw.jpg
│ ├── roLabelImg.png
│ ├── table_PubTabNet_demo
│ │ ├── PMC524509_007_00.png
│ │ └── PMC535543_007_01.png
│ ├── table_tal_demo
│ │ ├── 1.jpg
│ │ └── 2.jpg
│ ├── tablebank_demo
│ │ ├── 004.png
│ │ └── 005.png
│ ├── wildreceipt_demo
│ │ ├── 1bbe854b8817dedb8585e0732089fd1f752d2cec.jpeg
│ │ └── 2769.jpeg
│ └── xfund_demo
│ │ ├── gt_zh_train_0.jpg
│ │ └── gt_zh_train_1.jpg
├── demo
│ ├── build.png
│ ├── error.png
│ └── proxy.png
├── deployment.png
├── deployment_en.png
├── doc_ch
│ ├── FAQ.md
│ ├── PP-OCRv3_det_train.md
│ ├── PP-OCRv3_introduction.md
│ ├── add_new_algorithm.md
│ ├── algorithm_det_ct.md
│ ├── algorithm_det_db.md
│ ├── algorithm_det_drrg.md
│ ├── algorithm_det_east.md
│ ├── algorithm_det_fcenet.md
│ ├── algorithm_det_psenet.md
│ ├── algorithm_det_sast.md
│ ├── algorithm_e2e_pgnet.md
│ ├── algorithm_inference.md
│ ├── algorithm_kie_layoutxlm.md
│ ├── algorithm_kie_sdmgr.md
│ ├── algorithm_kie_vi_layoutxlm.md
│ ├── algorithm_overview.md
│ ├── algorithm_rec_abinet.md
│ ├── algorithm_rec_can.md
│ ├── algorithm_rec_crnn.md
│ ├── algorithm_rec_nrtr.md
│ ├── algorithm_rec_rare.md
│ ├── algorithm_rec_rfl.md
│ ├── algorithm_rec_robustscanner.md
│ ├── algorithm_rec_rosetta.md
│ ├── algorithm_rec_sar.md
│ ├── algorithm_rec_seed.md
│ ├── algorithm_rec_spin.md
│ ├── algorithm_rec_srn.md
│ ├── algorithm_rec_starnet.md
│ ├── algorithm_rec_svtr.md
│ ├── algorithm_rec_visionlan.md
│ ├── algorithm_rec_vitstr.md
│ ├── algorithm_sr_gestalt.md
│ ├── algorithm_sr_telescope.md
│ ├── algorithm_table_master.md
│ ├── angle_class.md
│ ├── application.md
│ ├── benchmark.md
│ ├── clone.md
│ ├── code_and_doc.md
│ ├── config.md
│ ├── customize.md
│ ├── data_annotation.md
│ ├── data_synthesis.md
│ ├── dataset
│ │ ├── datasets.md
│ │ ├── handwritten_datasets.md
│ │ ├── kie_datasets.md
│ │ ├── layout_datasets.md
│ │ ├── ocr_datasets.md
│ │ ├── table_datasets.md
│ │ └── vertical_and_multilingual_datasets.md
│ ├── detection.md
│ ├── distributed_training.md
│ ├── enhanced_ctc_loss.md
│ ├── environment.md
│ ├── equation_a_ctc.png
│ ├── equation_c_ctc.png
│ ├── equation_ctcloss.png
│ ├── equation_focal_ctc.png
│ ├── finetune.md
│ ├── focal_loss_formula.png
│ ├── focal_loss_image.png
│ ├── framework.png
│ ├── inference_args.md
│ ├── inference_ppocr.md
│ ├── installation.md
│ ├── kie.md
│ ├── knowledge_distillation.md
│ ├── models.md
│ ├── models_list.md
│ ├── multi_languages.md
│ ├── ocr_book.md
│ ├── ppocr_introduction.md
│ ├── quickstart.md
│ ├── rec_algo_compare.png
│ ├── recognition.md
│ ├── reference.md
│ ├── table_recognition.md
│ ├── thirdparty.md
│ ├── training.md
│ ├── tree.md
│ ├── update.md
│ ├── visualization.md
│ └── whl.md
├── doc_en
│ ├── FAQ_en.md
│ ├── PP-OCRv3_det_train_en.md
│ ├── PP-OCRv3_introduction_en.md
│ ├── add_new_algorithm_en.md
│ ├── algorithm_det_ct_en.md
│ ├── algorithm_det_db_en.md
│ ├── algorithm_det_drrg_en.md
│ ├── algorithm_det_east_en.md
│ ├── algorithm_det_fcenet_en.md
│ ├── algorithm_det_psenet_en.md
│ ├── algorithm_det_sast_en.md
│ ├── algorithm_e2e_pgnet_en.md
│ ├── algorithm_kie_layoutxlm_en.md
│ ├── algorithm_kie_sdmgr_en.md
│ ├── algorithm_kie_vi_layoutxlm_en.md
│ ├── algorithm_overview_en.md
│ ├── algorithm_rec_abinet_en.md
│ ├── algorithm_rec_aster_en.md
│ ├── algorithm_rec_can_en.md
│ ├── algorithm_rec_crnn_en.md
│ ├── algorithm_rec_nrtr_en.md
│ ├── algorithm_rec_rare_en.md
│ ├── algorithm_rec_rfl_en.md
│ ├── algorithm_rec_robustscanner_en.md
│ ├── algorithm_rec_rosetta_en.md
│ ├── algorithm_rec_sar_en.md
│ ├── algorithm_rec_seed_en.md
│ ├── algorithm_rec_spin_en.md
│ ├── algorithm_rec_srn_en.md
│ ├── algorithm_rec_starnet.md
│ ├── algorithm_rec_svtr_en.md
│ ├── algorithm_rec_visionlan_en.md
│ ├── algorithm_rec_vitstr_en.md
│ ├── algorithm_sdmgr_en.md
│ ├── algorithm_sr_gestalt_en.md
│ ├── algorithm_sr_telescope_en.md
│ ├── algorithm_table_master_en.md
│ ├── angle_class_en.md
│ ├── benchmark_en.md
│ ├── clone_en.md
│ ├── code_and_doc.md
│ ├── community_contribution_en.md
│ ├── config_en.md
│ ├── customize_en.md
│ ├── data_annotation_en.md
│ ├── data_synthesis_en.md
│ ├── dataset
│ │ ├── datasets_en.md
│ │ ├── handwritten_datasets_en.md
│ │ ├── kie_datasets_en.md
│ │ ├── layout_datasets_en.md
│ │ ├── ocr_datasets_en.md
│ │ ├── table_datasets_en.md
│ │ └── vertical_and_multilingual_datasets_en.md
│ ├── detection_en.md
│ ├── distributed_training_en.md
│ ├── enhanced_ctc_loss_en.md
│ ├── environment_en.md
│ ├── inference_args_en.md
│ ├── inference_en.md
│ ├── inference_ppocr_en.md
│ ├── installation_en.md
│ ├── kie_en.md
│ ├── knowledge_distillation_en.md
│ ├── logging_en.md
│ ├── models_en.md
│ ├── models_list_en.md
│ ├── multi_languages_en.md
│ ├── ocr_book_en.md
│ ├── ppocr_introduction_en.md
│ ├── quickstart_en.md
│ ├── recognition_en.md
│ ├── reference_en.md
│ ├── table_recognition_en.md
│ ├── training_en.md
│ ├── tree_en.md
│ ├── tricks_en.md
│ ├── update_en.md
│ ├── visualization_en.md
│ └── whl_en.md
├── doc_i18n
│ ├── README_Ру́сский_язы́к.md
│ ├── README_हिन्द.md
│ ├── README_日本語.md
│ └── README_한국어.md
├── fonts
│ ├── arabic.ttf
│ ├── chinese_cht.ttf
│ ├── cyrillic.ttf
│ ├── french.ttf
│ ├── german.ttf
│ ├── hindi.ttf
│ ├── japan.ttc
│ ├── kannada.ttf
│ ├── korean.ttf
│ ├── latin.ttf
│ ├── marathi.ttf
│ ├── nepali.ttf
│ ├── persian.ttf
│ ├── simfang.ttf
│ ├── spanish.ttf
│ ├── tamil.ttf
│ ├── telugu.ttf
│ ├── urdu.ttf
│ └── uyghur.ttf
├── imgs
│ ├── 00006737.jpg
│ ├── 00009282.jpg
│ ├── 00015504.jpg
│ ├── 00018069.jpg
│ ├── 00056221.jpg
│ ├── 00057937.jpg
│ ├── 00059985.jpg
│ ├── 00077949.jpg
│ ├── 00111002.jpg
│ ├── 00207393.jpg
│ ├── 1.jpg
│ ├── 11.jpg
│ ├── 12.jpg
│ ├── french_0.jpg
│ ├── ger_1.jpg
│ ├── ger_2.jpg
│ ├── japan_1.jpg
│ ├── japan_2.jpg
│ ├── korean_1.jpg
│ └── model_prod_flow_ch.png
├── imgs_en
│ ├── 254.jpg
│ ├── img623.jpg
│ ├── img_10.jpg
│ ├── img_11.jpg
│ ├── img_12.jpg
│ ├── img_195.jpg
│ ├── model_prod_flow_en.png
│ ├── wandb_metrics.png
│ └── wandb_models.png
├── imgs_results
│ ├── PP-OCRv2
│ │ ├── PP-OCRv2-pic001.jpg
│ │ ├── PP-OCRv2-pic002.jpg
│ │ └── PP-OCRv2-pic003.jpg
│ ├── PP-OCRv3
│ │ ├── ch
│ │ │ ├── PP-OCRv3-pic001.jpg
│ │ │ ├── PP-OCRv3-pic002.jpg
│ │ │ └── PP-OCRv3-pic003.jpg
│ │ ├── en
│ │ │ ├── en_1.png
│ │ │ ├── en_2.png
│ │ │ ├── en_3.png
│ │ │ └── en_4.png
│ │ └── multi_lang
│ │ │ ├── japan_2.jpg
│ │ │ └── korean_1.jpg
│ ├── angle_class_example.jpg
│ ├── ch_ppocr_mobile_v2.0
│ │ ├── 00006737.jpg
│ │ ├── 00009282.jpg
│ │ ├── 00015504.jpg
│ │ ├── 00059985.jpg
│ │ ├── 00111002.jpg
│ │ ├── img_12.jpg
│ │ ├── rotate_00052204.jpg
│ │ └── test_add_91.jpg
│ ├── det_res_00018069.jpg
│ ├── det_res_img623_ct.jpg
│ ├── det_res_img623_fce.jpg
│ ├── det_res_img623_sast.jpg
│ ├── det_res_img_10_db.jpg
│ ├── det_res_img_10_east.jpg
│ ├── det_res_img_10_fce.jpg
│ ├── det_res_img_10_pse.jpg
│ ├── det_res_img_10_pse_poly.jpg
│ ├── det_res_img_10_sast.jpg
│ ├── e2e_res_img293_pgnet.png
│ ├── e2e_res_img295_pgnet.png
│ ├── e2e_res_img623_pgnet.jpg
│ ├── e2e_res_img_10_pgnet.jpg
│ ├── french_0.jpg
│ ├── img_10_east_starnet.jpg
│ ├── korean.jpg
│ ├── multi_lang
│ │ ├── arabic_0.jpg
│ │ ├── en_1.jpg
│ │ ├── en_2.jpg
│ │ ├── en_3.jpg
│ │ ├── french_0.jpg
│ │ ├── img_01.jpg
│ │ ├── img_02.jpg
│ │ ├── img_12.jpg
│ │ ├── japan_2.jpg
│ │ └── korean_0.jpg
│ ├── sr_word_52.png
│ ├── system_res_00018069.jpg
│ ├── system_res_00018069_v3.jpg
│ └── whl
│ │ ├── 11_det.jpg
│ │ ├── 11_det_rec.jpg
│ │ ├── 12_det.jpg
│ │ └── 12_det_rec.jpg
├── imgs_words
│ ├── arabic
│ │ ├── ar_1.jpg
│ │ └── ar_2.jpg
│ ├── belarusian
│ │ ├── be_1.jpg
│ │ └── be_2.jpg
│ ├── bulgarian
│ │ ├── bg_1.jpg
│ │ └── bg_2.jpg
│ ├── ch
│ │ ├── word_1.jpg
│ │ ├── word_2.jpg
│ │ ├── word_3.jpg
│ │ ├── word_4.jpg
│ │ └── word_5.jpg
│ ├── chinese_traditional
│ │ ├── chinese_cht_1.png
│ │ └── chinese_cht_2.png
│ ├── en
│ │ ├── word_1.png
│ │ ├── word_2.png
│ │ ├── word_3.png
│ │ ├── word_4.png
│ │ └── word_5.png
│ ├── french
│ │ ├── 1.jpg
│ │ └── 2.jpg
│ ├── german
│ │ └── 1.jpg
│ ├── hindi
│ │ ├── hi_1.jpg
│ │ └── hi_2.jpg
│ ├── italian
│ │ ├── it_1.jpg
│ │ └── it_2.jpg
│ ├── japan
│ │ └── 1.jpg
│ ├── kannada
│ │ ├── ka_1.jpg
│ │ └── ka_2.jpg
│ ├── korean
│ │ ├── 1.jpg
│ │ └── 2.jpg
│ ├── marathi
│ │ ├── mr_1.jpg
│ │ └── mr_2.jpg
│ ├── nepali
│ │ ├── ne_1.jpg
│ │ └── ne_2.jpg
│ ├── occitan
│ │ ├── oc_1.jpg
│ │ └── oc_2.jpg
│ ├── persian
│ │ ├── fa_1.jpg
│ │ └── fa_2.jpg
│ ├── portuguese
│ │ ├── pu_1.jpg
│ │ └── pu_2.jpg
│ ├── russia
│ │ ├── ru_1.jpg
│ │ └── ru_2.jpg
│ ├── serbian_cyrillic
│ │ ├── rsc_1.jpg
│ │ └── rsc_2.jpg
│ ├── serbian_latin
│ │ ├── rs_1.jpg
│ │ └── rs_2.jpg
│ ├── spanish
│ │ ├── xi_1.jpg
│ │ └── xi_2.jpg
│ ├── tamil
│ │ ├── ta_1.jpg
│ │ └── ta_2.jpg
│ ├── telugu
│ │ ├── te_1.jpg
│ │ └── te_2.jpg
│ ├── ukranian
│ │ ├── uk_1.jpg
│ │ └── uk_2.jpg
│ ├── urdu
│ │ ├── ur_1.jpg
│ │ └── ur_2.jpg
│ └── uyghur
│ │ ├── ug_1.jpg
│ │ └── ug_2.jpg
├── imgs_words_en
│ ├── word_10.png
│ ├── word_116.png
│ ├── word_19.png
│ ├── word_201.png
│ ├── word_308.png
│ ├── word_336.png
│ ├── word_401.png
│ ├── word_461.png
│ ├── word_52.png
│ └── word_545.png
├── install
│ ├── linux
│ │ ├── anaconda_download.png
│ │ └── conda_create.png
│ ├── mac
│ │ ├── anaconda_start.png
│ │ ├── conda_activate.png
│ │ └── conda_create.png
│ └── windows
│ │ ├── Anaconda_download.png
│ │ ├── anaconda_install_env.png
│ │ ├── anaconda_install_folder.png
│ │ ├── anaconda_prompt.png
│ │ ├── conda_list_env.png
│ │ └── conda_new_env.png
├── joinus.PNG
├── pgnet_framework.png
├── ppocr_framework.png
├── ppocr_v3
│ ├── GTC.png
│ ├── GTC_en.png
│ ├── LCNet_SVTR.png
│ ├── LCNet_SVTR_en.png
│ ├── LKPAN.png
│ ├── RSEFPN.png
│ ├── SSL.png
│ ├── UDML.png
│ ├── UIM.png
│ ├── ppocrv3_det_cml.png
│ ├── recconaug.png
│ ├── svtr_g2.png
│ ├── svtr_g4.png
│ ├── svtr_tiny.png
│ ├── teacher_dml.png
│ └── v3_rec_pipeline.png
├── ppocrv2_framework.jpg
├── ppocrv3_framework.png
├── pr.png
├── precommit_pass.png
└── tricks
│ └── long_text_examples.jpg
├── donut
├── __pycache__
│ ├── lightning_module.cpython-39.pyc
│ └── train.cpython-39.pyc
├── lightning_module.py
├── setup.py
└── train.py
├── en_t2t_model.py
├── imgs
├── .txt
├── en_context.jpg
├── en_context.png
├── en_img.jpg
├── en_img.png
├── en_nlp_input.png
├── en_nlp_output.png
├── en_output.png
├── zh_context.jpg
├── zh_context.png
├── zh_context_1.jpg
├── zh_context_1.png
├── zh_img.jpg
├── zh_img.png
├── zh_nlp_input.png
├── zh_nlp_output.png
└── zh_output.png
├── model
└── .txt
├── notebook.ipynb
├── packages.txt
├── ppocr
├── __init__.py
├── __pycache__
│ ├── __init__.cpython-37.pyc
│ └── __init__.cpython-39.pyc
├── data
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-37.pyc
│ │ ├── __init__.cpython-39.pyc
│ │ ├── lmdb_dataset.cpython-37.pyc
│ │ ├── lmdb_dataset.cpython-39.pyc
│ │ ├── pgnet_dataset.cpython-37.pyc
│ │ ├── pgnet_dataset.cpython-39.pyc
│ │ ├── pubtab_dataset.cpython-37.pyc
│ │ ├── pubtab_dataset.cpython-39.pyc
│ │ ├── simple_dataset.cpython-37.pyc
│ │ └── simple_dataset.cpython-39.pyc
│ ├── collate_fn.py
│ ├── imaug
│ │ ├── ColorJitter.py
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── ColorJitter.cpython-37.pyc
│ │ │ ├── ColorJitter.cpython-39.pyc
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── __init__.cpython-39.pyc
│ │ │ ├── abinet_aug.cpython-37.pyc
│ │ │ ├── abinet_aug.cpython-39.pyc
│ │ │ ├── copy_paste.cpython-37.pyc
│ │ │ ├── copy_paste.cpython-39.pyc
│ │ │ ├── ct_process.cpython-37.pyc
│ │ │ ├── ct_process.cpython-39.pyc
│ │ │ ├── drrg_targets.cpython-37.pyc
│ │ │ ├── drrg_targets.cpython-39.pyc
│ │ │ ├── east_process.cpython-37.pyc
│ │ │ ├── east_process.cpython-39.pyc
│ │ │ ├── fce_aug.cpython-37.pyc
│ │ │ ├── fce_aug.cpython-39.pyc
│ │ │ ├── fce_targets.cpython-37.pyc
│ │ │ ├── fce_targets.cpython-39.pyc
│ │ │ ├── iaa_augment.cpython-37.pyc
│ │ │ ├── iaa_augment.cpython-39.pyc
│ │ │ ├── label_ops.cpython-37.pyc
│ │ │ ├── label_ops.cpython-39.pyc
│ │ │ ├── make_border_map.cpython-37.pyc
│ │ │ ├── make_border_map.cpython-39.pyc
│ │ │ ├── make_pse_gt.cpython-37.pyc
│ │ │ ├── make_pse_gt.cpython-39.pyc
│ │ │ ├── make_shrink_map.cpython-37.pyc
│ │ │ ├── make_shrink_map.cpython-39.pyc
│ │ │ ├── operators.cpython-37.pyc
│ │ │ ├── operators.cpython-39.pyc
│ │ │ ├── pg_process.cpython-37.pyc
│ │ │ ├── pg_process.cpython-39.pyc
│ │ │ ├── randaugment.cpython-37.pyc
│ │ │ ├── randaugment.cpython-39.pyc
│ │ │ ├── random_crop_data.cpython-37.pyc
│ │ │ ├── random_crop_data.cpython-39.pyc
│ │ │ ├── rec_img_aug.cpython-37.pyc
│ │ │ ├── rec_img_aug.cpython-39.pyc
│ │ │ ├── sast_process.cpython-37.pyc
│ │ │ ├── sast_process.cpython-39.pyc
│ │ │ ├── ssl_img_aug.cpython-37.pyc
│ │ │ ├── ssl_img_aug.cpython-39.pyc
│ │ │ ├── table_ops.cpython-37.pyc
│ │ │ └── table_ops.cpython-39.pyc
│ │ ├── abinet_aug.py
│ │ ├── copy_paste.py
│ │ ├── ct_process.py
│ │ ├── drrg_targets.py
│ │ ├── east_process.py
│ │ ├── fce_aug.py
│ │ ├── fce_targets.py
│ │ ├── iaa_augment.py
│ │ ├── label_ops.py
│ │ ├── make_border_map.py
│ │ ├── make_pse_gt.py
│ │ ├── make_shrink_map.py
│ │ ├── operators.py
│ │ ├── pg_process.py
│ │ ├── randaugment.py
│ │ ├── random_crop_data.py
│ │ ├── rec_img_aug.py
│ │ ├── sast_process.py
│ │ ├── ssl_img_aug.py
│ │ ├── table_ops.py
│ │ ├── text_image_aug
│ │ │ ├── __init__.py
│ │ │ ├── __pycache__
│ │ │ │ ├── __init__.cpython-37.pyc
│ │ │ │ ├── __init__.cpython-39.pyc
│ │ │ │ ├── augment.cpython-37.pyc
│ │ │ │ ├── augment.cpython-39.pyc
│ │ │ │ ├── warp_mls.cpython-37.pyc
│ │ │ │ └── warp_mls.cpython-39.pyc
│ │ │ ├── augment.py
│ │ │ └── warp_mls.py
│ │ └── vqa
│ │ │ ├── __init__.py
│ │ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── __init__.cpython-39.pyc
│ │ │ ├── augment.cpython-37.pyc
│ │ │ └── augment.cpython-39.pyc
│ │ │ ├── augment.py
│ │ │ └── token
│ │ │ ├── __init__.py
│ │ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── __init__.cpython-39.pyc
│ │ │ ├── vqa_re_convert.cpython-37.pyc
│ │ │ ├── vqa_re_convert.cpython-39.pyc
│ │ │ ├── vqa_token_chunk.cpython-37.pyc
│ │ │ ├── vqa_token_chunk.cpython-39.pyc
│ │ │ ├── vqa_token_pad.cpython-37.pyc
│ │ │ ├── vqa_token_pad.cpython-39.pyc
│ │ │ ├── vqa_token_relation.cpython-37.pyc
│ │ │ └── vqa_token_relation.cpython-39.pyc
│ │ │ ├── vqa_re_convert.py
│ │ │ ├── vqa_token_chunk.py
│ │ │ ├── vqa_token_pad.py
│ │ │ └── vqa_token_relation.py
│ ├── lmdb_dataset.py
│ ├── pgnet_dataset.py
│ ├── pubtab_dataset.py
│ └── simple_dataset.py
├── ext_op
│ ├── __init__.py
│ └── roi_align_rotated
│ │ ├── roi_align_rotated.cc
│ │ ├── roi_align_rotated.cu
│ │ └── roi_align_rotated.py
├── losses
│ ├── __init__.py
│ ├── ace_loss.py
│ ├── basic_loss.py
│ ├── center_loss.py
│ ├── cls_loss.py
│ ├── combined_loss.py
│ ├── det_basic_loss.py
│ ├── det_ct_loss.py
│ ├── det_db_loss.py
│ ├── det_drrg_loss.py
│ ├── det_east_loss.py
│ ├── det_fce_loss.py
│ ├── det_pse_loss.py
│ ├── det_sast_loss.py
│ ├── distillation_loss.py
│ ├── e2e_pg_loss.py
│ ├── kie_sdmgr_loss.py
│ ├── rec_aster_loss.py
│ ├── rec_att_loss.py
│ ├── rec_can_loss.py
│ ├── rec_ce_loss.py
│ ├── rec_ctc_loss.py
│ ├── rec_enhanced_ctc_loss.py
│ ├── rec_multi_loss.py
│ ├── rec_pren_loss.py
│ ├── rec_rfl_loss.py
│ ├── rec_sar_loss.py
│ ├── rec_spin_att_loss.py
│ ├── rec_srn_loss.py
│ ├── rec_vl_loss.py
│ ├── stroke_focus_loss.py
│ ├── table_att_loss.py
│ ├── table_master_loss.py
│ ├── text_focus_loss.py
│ └── vqa_token_layoutlm_loss.py
├── metrics
│ ├── __init__.py
│ ├── cls_metric.py
│ ├── ct_metric.py
│ ├── det_metric.py
│ ├── distillation_metric.py
│ ├── e2e_metric.py
│ ├── eval_det_iou.py
│ ├── kie_metric.py
│ ├── rec_metric.py
│ ├── sr_metric.py
│ ├── table_metric.py
│ ├── vqa_token_re_metric.py
│ └── vqa_token_ser_metric.py
├── modeling
│ ├── architectures
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── __init__.cpython-39.pyc
│ │ │ ├── base_model.cpython-37.pyc
│ │ │ ├── base_model.cpython-39.pyc
│ │ │ ├── distillation_model.cpython-37.pyc
│ │ │ └── distillation_model.cpython-39.pyc
│ │ ├── base_model.py
│ │ └── distillation_model.py
│ ├── backbones
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ └── __init__.cpython-39.pyc
│ │ ├── det_mobilenet_v3.py
│ │ ├── det_pp_lcnet.py
│ │ ├── det_resnet.py
│ │ ├── det_resnet_vd.py
│ │ ├── det_resnet_vd_sast.py
│ │ ├── e2e_resnet_vd_pg.py
│ │ ├── kie_unet_sdmgr.py
│ │ ├── rec_densenet.py
│ │ ├── rec_efficientb3_pren.py
│ │ ├── rec_micronet.py
│ │ ├── rec_mobilenet_v3.py
│ │ ├── rec_mv1_enhance.py
│ │ ├── rec_nrtr_mtb.py
│ │ ├── rec_resnet_31.py
│ │ ├── rec_resnet_32.py
│ │ ├── rec_resnet_45.py
│ │ ├── rec_resnet_aster.py
│ │ ├── rec_resnet_fpn.py
│ │ ├── rec_resnet_rfl.py
│ │ ├── rec_resnet_vd.py
│ │ ├── rec_svtrnet.py
│ │ ├── rec_vitstr.py
│ │ ├── table_master_resnet.py
│ │ └── vqa_layoutlm.py
│ ├── heads
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ └── __init__.cpython-39.pyc
│ │ ├── cls_head.py
│ │ ├── det_ct_head.py
│ │ ├── det_db_head.py
│ │ ├── det_drrg_head.py
│ │ ├── det_east_head.py
│ │ ├── det_fce_head.py
│ │ ├── det_pse_head.py
│ │ ├── det_sast_head.py
│ │ ├── e2e_pg_head.py
│ │ ├── gcn.py
│ │ ├── kie_sdmgr_head.py
│ │ ├── local_graph.py
│ │ ├── proposal_local_graph.py
│ │ ├── rec_abinet_head.py
│ │ ├── rec_aster_head.py
│ │ ├── rec_att_head.py
│ │ ├── rec_can_head.py
│ │ ├── rec_ctc_head.py
│ │ ├── rec_multi_head.py
│ │ ├── rec_nrtr_head.py
│ │ ├── rec_pren_head.py
│ │ ├── rec_rfl_head.py
│ │ ├── rec_robustscanner_head.py
│ │ ├── rec_sar_head.py
│ │ ├── rec_spin_att_head.py
│ │ ├── rec_srn_head.py
│ │ ├── rec_visionlan_head.py
│ │ ├── self_attention.py
│ │ ├── sr_rensnet_transformer.py
│ │ ├── table_att_head.py
│ │ └── table_master_head.py
│ ├── necks
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ └── __init__.cpython-39.pyc
│ │ ├── csp_pan.py
│ │ ├── ct_fpn.py
│ │ ├── db_fpn.py
│ │ ├── east_fpn.py
│ │ ├── fce_fpn.py
│ │ ├── fpn.py
│ │ ├── fpn_unet.py
│ │ ├── pg_fpn.py
│ │ ├── pren_fpn.py
│ │ ├── rf_adaptor.py
│ │ ├── rnn.py
│ │ ├── sast_fpn.py
│ │ └── table_fpn.py
│ └── transforms
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ ├── __init__.cpython-37.pyc
│ │ └── __init__.cpython-39.pyc
│ │ ├── gaspin_transformer.py
│ │ ├── stn.py
│ │ ├── tbsrn.py
│ │ ├── tps.py
│ │ ├── tps_spatial_transformer.py
│ │ └── tsrn.py
├── optimizer
│ ├── __init__.py
│ ├── learning_rate.py
│ ├── lr_scheduler.py
│ ├── optimizer.py
│ └── regularizer.py
├── postprocess
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-37.pyc
│ │ ├── __init__.cpython-39.pyc
│ │ ├── cls_postprocess.cpython-37.pyc
│ │ ├── cls_postprocess.cpython-39.pyc
│ │ ├── ct_postprocess.cpython-37.pyc
│ │ ├── ct_postprocess.cpython-39.pyc
│ │ ├── db_postprocess.cpython-37.pyc
│ │ ├── db_postprocess.cpython-39.pyc
│ │ ├── drrg_postprocess.cpython-37.pyc
│ │ ├── drrg_postprocess.cpython-39.pyc
│ │ ├── east_postprocess.cpython-37.pyc
│ │ ├── east_postprocess.cpython-39.pyc
│ │ ├── fce_postprocess.cpython-37.pyc
│ │ ├── fce_postprocess.cpython-39.pyc
│ │ ├── locality_aware_nms.cpython-37.pyc
│ │ ├── locality_aware_nms.cpython-39.pyc
│ │ ├── pg_postprocess.cpython-37.pyc
│ │ ├── pg_postprocess.cpython-39.pyc
│ │ ├── picodet_postprocess.cpython-37.pyc
│ │ ├── picodet_postprocess.cpython-39.pyc
│ │ ├── rec_postprocess.cpython-37.pyc
│ │ ├── rec_postprocess.cpython-39.pyc
│ │ ├── sast_postprocess.cpython-37.pyc
│ │ ├── sast_postprocess.cpython-39.pyc
│ │ ├── table_postprocess.cpython-37.pyc
│ │ ├── table_postprocess.cpython-39.pyc
│ │ ├── vqa_token_re_layoutlm_postprocess.cpython-37.pyc
│ │ ├── vqa_token_re_layoutlm_postprocess.cpython-39.pyc
│ │ ├── vqa_token_ser_layoutlm_postprocess.cpython-37.pyc
│ │ └── vqa_token_ser_layoutlm_postprocess.cpython-39.pyc
│ ├── cls_postprocess.py
│ ├── ct_postprocess.py
│ ├── db_postprocess.py
│ ├── drrg_postprocess.py
│ ├── east_postprocess.py
│ ├── fce_postprocess.py
│ ├── locality_aware_nms.py
│ ├── pg_postprocess.py
│ ├── picodet_postprocess.py
│ ├── pse_postprocess
│ │ ├── __init__.py
│ │ ├── pse
│ │ │ ├── README.md
│ │ │ ├── __init__.py
│ │ │ ├── pse.pyx
│ │ │ └── setup.py
│ │ └── pse_postprocess.py
│ ├── rec_postprocess.py
│ ├── sast_postprocess.py
│ ├── table_postprocess.py
│ ├── vqa_token_re_layoutlm_postprocess.py
│ └── vqa_token_ser_layoutlm_postprocess.py
└── utils
│ ├── EN_symbol_dict.txt
│ ├── __init__.py
│ ├── __pycache__
│ ├── __init__.cpython-37.pyc
│ ├── __init__.cpython-39.pyc
│ ├── logging.cpython-37.pyc
│ ├── logging.cpython-39.pyc
│ ├── network.cpython-37.pyc
│ ├── network.cpython-39.pyc
│ ├── poly_nms.cpython-37.pyc
│ ├── poly_nms.cpython-39.pyc
│ ├── profiler.cpython-37.pyc
│ ├── profiler.cpython-39.pyc
│ ├── save_load.cpython-37.pyc
│ ├── save_load.cpython-39.pyc
│ ├── stats.cpython-37.pyc
│ ├── stats.cpython-39.pyc
│ ├── utility.cpython-37.pyc
│ ├── utility.cpython-39.pyc
│ ├── visual.cpython-37.pyc
│ └── visual.cpython-39.pyc
│ ├── dict
│ ├── ar_dict.txt
│ ├── arabic_dict.txt
│ ├── be_dict.txt
│ ├── bg_dict.txt
│ ├── chinese_cht_dict.txt
│ ├── confuse.pkl
│ ├── cyrillic_dict.txt
│ ├── devanagari_dict.txt
│ ├── en_dict.txt
│ ├── fa_dict.txt
│ ├── french_dict.txt
│ ├── german_dict.txt
│ ├── hi_dict.txt
│ ├── it_dict.txt
│ ├── japan_dict.txt
│ ├── ka_dict.txt
│ ├── kie_dict
│ │ └── xfund_class_list.txt
│ ├── korean_dict.txt
│ ├── latex_symbol_dict.txt
│ ├── latin_dict.txt
│ ├── layout_dict
│ │ ├── layout_cdla_dict.txt
│ │ ├── layout_publaynet_dict.txt
│ │ └── layout_table_dict.txt
│ ├── mr_dict.txt
│ ├── ne_dict.txt
│ ├── oc_dict.txt
│ ├── pu_dict.txt
│ ├── rs_dict.txt
│ ├── rsc_dict.txt
│ ├── ru_dict.txt
│ ├── spin_dict.txt
│ ├── ta_dict.txt
│ ├── table_dict.txt
│ ├── table_master_structure_dict.txt
│ ├── table_structure_dict.txt
│ ├── table_structure_dict_ch.txt
│ ├── te_dict.txt
│ ├── ug_dict.txt
│ ├── uk_dict.txt
│ ├── ur_dict.txt
│ └── xi_dict.txt
│ ├── dict90.txt
│ ├── e2e_metric
│ ├── Deteval.py
│ └── polygon_fast.py
│ ├── e2e_utils
│ ├── __pycache__
│ │ ├── extract_textpoint_fast.cpython-37.pyc
│ │ ├── extract_textpoint_fast.cpython-39.pyc
│ │ ├── extract_textpoint_slow.cpython-37.pyc
│ │ ├── extract_textpoint_slow.cpython-39.pyc
│ │ ├── pgnet_pp_utils.cpython-37.pyc
│ │ └── pgnet_pp_utils.cpython-39.pyc
│ ├── extract_batchsize.py
│ ├── extract_textpoint_fast.py
│ ├── extract_textpoint_slow.py
│ ├── pgnet_pp_utils.py
│ └── visual.py
│ ├── en_dict.txt
│ ├── gen_label.py
│ ├── ic15_dict.txt
│ ├── iou.py
│ ├── loggers
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-37.pyc
│ │ ├── __init__.cpython-39.pyc
│ │ ├── base_logger.cpython-37.pyc
│ │ ├── base_logger.cpython-39.pyc
│ │ ├── loggers.cpython-37.pyc
│ │ ├── loggers.cpython-39.pyc
│ │ ├── vdl_logger.cpython-37.pyc
│ │ ├── vdl_logger.cpython-39.pyc
│ │ ├── wandb_logger.cpython-37.pyc
│ │ └── wandb_logger.cpython-39.pyc
│ ├── base_logger.py
│ ├── loggers.py
│ ├── vdl_logger.py
│ └── wandb_logger.py
│ ├── logging.py
│ ├── network.py
│ ├── poly_nms.py
│ ├── ppocr_keys_v1.txt
│ ├── profiler.py
│ ├── save_load.py
│ ├── stats.py
│ ├── utility.py
│ └── visual.py
├── ppstructure
├── .DS_Store
├── .ipynb_checkpoints
│ ├── README_ch-checkpoint.md
│ ├── Untitled-checkpoint.ipynb
│ ├── Untitled1-checkpoint.ipynb
│ ├── Untitled2-checkpoint.ipynb
│ ├── Untitled3-checkpoint.ipynb
│ ├── Untitled4-checkpoint.ipynb
│ ├── Untitled5-checkpoint.ipynb
│ ├── Untitled6-checkpoint.ipynb
│ └── Untitled7-checkpoint.ipynb
├── README.md
├── README_ch.md
├── __init__.py
├── __pycache__
│ ├── __init__.cpython-37.pyc
│ ├── __init__.cpython-39.pyc
│ ├── en_t2t_model.cpython-39.pyc
│ ├── mt5_qa_on_context.cpython-39.pyc
│ ├── predict_system.cpython-37.pyc
│ ├── predict_system.cpython-38.pyc
│ ├── predict_system.cpython-39.pyc
│ ├── qa_on_context.cpython-39.pyc
│ ├── qa_on_image.cpython-39.pyc
│ ├── qa_on_pic.cpython-39.pyc
│ ├── utility.cpython-37.pyc
│ ├── utility.cpython-39.pyc
│ └── zh_mt5_model.cpython-39.pyc
├── docs
│ ├── PP-StructureV2_introduction.md
│ ├── imgs
│ │ ├── sdmgr_result.png
│ │ ├── slanet_result.jpg
│ │ ├── table_ch_result1.jpg
│ │ ├── table_ch_result2.jpg
│ │ └── table_ch_result3.jpg
│ ├── inference.md
│ ├── inference_en.md
│ ├── kie
│ │ ├── input
│ │ │ ├── zh_val_0.jpg
│ │ │ ├── zh_val_21.jpg
│ │ │ ├── zh_val_40.jpg
│ │ │ └── zh_val_42.jpg
│ │ ├── result_re
│ │ │ ├── zh_val_21_re.jpg
│ │ │ ├── zh_val_40_re.jpg
│ │ │ └── zh_val_42_re.jpg
│ │ ├── result_re_with_gt_ocr
│ │ │ └── zh_val_42_re.jpg
│ │ ├── result_ser
│ │ │ ├── zh_val_0_ser.jpg
│ │ │ └── zh_val_42_ser.jpg
│ │ └── result_ser_with_gt_ocr
│ │ │ └── zh_val_42_ser.jpg
│ ├── layout
│ │ ├── layout.png
│ │ └── layout_res.jpg
│ ├── models_list.md
│ ├── models_list_en.md
│ ├── quickstart.md
│ ├── quickstart_en.md
│ ├── recovery
│ │ ├── UnrealText.pdf
│ │ ├── recovery.jpg
│ │ └── recovery_ch.jpg
│ └── table
│ │ ├── 1.png
│ │ ├── layout.jpg
│ │ ├── paper-image.jpg
│ │ ├── pipeline.jpg
│ │ ├── pipeline_en.jpg
│ │ ├── ppstructure.GIF
│ │ ├── result_all.jpg
│ │ ├── result_text.jpg
│ │ ├── table.jpg
│ │ ├── tableocr_pipeline.jpg
│ │ └── tableocr_pipeline_en.jpg
├── inference
│ └── .txt
├── kie
│ ├── README.md
│ ├── README_ch.md
│ ├── __pycache__
│ │ ├── predict_kie_token_ser.cpython-37.pyc
│ │ ├── predict_kie_token_ser.cpython-39.pyc
│ │ ├── predict_kie_token_ser_re.cpython-37.pyc
│ │ └── predict_kie_token_ser_re.cpython-39.pyc
│ ├── how_to_do_kie.md
│ ├── how_to_do_kie_en.md
│ ├── predict_kie_token_ser.py
│ ├── predict_kie_token_ser_re.py
│ ├── requirements.txt
│ └── tools
│ │ ├── eval_with_label_end2end.py
│ │ ├── trans_funsd_label.py
│ │ └── trans_xfun_data.py
├── layout
│ ├── README.md
│ ├── README_ch.md
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-37.pyc
│ │ ├── __init__.cpython-39.pyc
│ │ ├── predict_layout.cpython-37.pyc
│ │ └── predict_layout.cpython-39.pyc
│ └── predict_layout.py
├── pdf2word
│ ├── README.md
│ ├── icons
│ │ ├── chinese.png
│ │ ├── english.png
│ │ ├── folder-open.png
│ │ └── folder-plus.png
│ └── pdf2word.py
├── predict_system.py
├── recovery
│ ├── README.md
│ ├── README_ch.md
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-39.pyc
│ │ └── table_process.cpython-39.pyc
│ ├── recovery_to_doc.py
│ ├── requirements.txt
│ └── table_process.py
├── table
│ ├── README.md
│ ├── README_ch.md
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-37.pyc
│ │ ├── __init__.cpython-39.pyc
│ │ ├── matcher.cpython-37.pyc
│ │ ├── matcher.cpython-39.pyc
│ │ ├── predict_structure.cpython-37.pyc
│ │ ├── predict_structure.cpython-39.pyc
│ │ ├── predict_table.cpython-37.pyc
│ │ ├── predict_table.cpython-39.pyc
│ │ ├── table_master_match.cpython-37.pyc
│ │ └── table_master_match.cpython-39.pyc
│ ├── convert_label2html.py
│ ├── eval_table.py
│ ├── matcher.py
│ ├── predict_structure.py
│ ├── predict_table.py
│ ├── table_master_match.py
│ ├── table_metric
│ │ ├── __init__.py
│ │ ├── parallel.py
│ │ └── table_metric.py
│ └── tablepyxl
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ ├── __init__.cpython-39.pyc
│ │ ├── style.cpython-39.pyc
│ │ └── tablepyxl.cpython-39.pyc
│ │ ├── style.py
│ │ └── tablepyxl.py
└── utility.py
├── qa_on_context.py
├── qa_on_image.py
├── qa_on_pic.py
├── requirements.txt
├── tools
├── __init__.py
├── __pycache__
│ ├── __init__.cpython-37.pyc
│ ├── __init__.cpython-39.pyc
│ ├── infer_kie_token_ser.cpython-37.pyc
│ ├── infer_kie_token_ser.cpython-39.pyc
│ ├── infer_kie_token_ser_re.cpython-37.pyc
│ ├── infer_kie_token_ser_re.cpython-39.pyc
│ ├── program.cpython-37.pyc
│ └── program.cpython-39.pyc
├── end2end
│ ├── convert_ppocr_label.py
│ ├── draw_html.py
│ ├── eval_end2end.py
│ └── readme.md
├── eval.py
├── export_center.py
├── export_model.py
├── infer
│ ├── __pycache__
│ │ ├── predict_cls.cpython-37.pyc
│ │ ├── predict_cls.cpython-39.pyc
│ │ ├── predict_det.cpython-37.pyc
│ │ ├── predict_det.cpython-39.pyc
│ │ ├── predict_rec.cpython-37.pyc
│ │ ├── predict_rec.cpython-39.pyc
│ │ ├── predict_system.cpython-37.pyc
│ │ ├── predict_system.cpython-39.pyc
│ │ ├── utility.cpython-37.pyc
│ │ └── utility.cpython-39.pyc
│ ├── predict_cls.py
│ ├── predict_det.py
│ ├── predict_e2e.py
│ ├── predict_rec.py
│ ├── predict_sr.py
│ ├── predict_system.py
│ └── utility.py
├── infer_cls.py
├── infer_det.py
├── infer_e2e.py
├── infer_kie.py
├── infer_kie_token_ser.py
├── infer_kie_token_ser_re.py
├── infer_rec.py
├── infer_sr.py
├── infer_table.py
├── program.py
├── test_hubserving.py
└── train.py
└── zh_mt5_model.py
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/app.py:
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1 | from qa_on_pic import *
2 |
3 | import gradio as gr
4 |
5 | def demo_func(input_img):
6 | img_path = "used.png"
7 | Image.fromarray(input_img).save(img_path)
8 | qa_df = generate_qa(img_path, ppstructure_bin_path, table_engine)
9 | return {"output": qa_df.values.tolist()}
10 |
11 | example_sample = []
12 | for img_p in os.listdir("imgs/"):
13 | if img_p.endswith(".jpg"):
14 | img_p = os.path.join("imgs/" ,img_p)
15 | assert os.path.exists(img_p)
16 | example_sample.append(img_p)
17 |
18 |
19 | demo = gr.Interface(
20 | fn=demo_func,
21 | inputs="image",
22 | outputs="json",
23 | title=f"DocVQA dataset generate 🍩 demonstration",
24 | examples=example_sample if example_sample else None,
25 | cache_examples = False
26 | )
27 |
28 | demo.launch(server_name=None, server_port=None)
29 |
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1 | # 项目克隆
2 |
3 | ## 1. 克隆PaddleOCR repo代码
4 |
5 | ```
6 | 【推荐】git clone https://github.com/PaddlePaddle/PaddleOCR
7 | ```
8 |
9 | 如果因为网络问题无法pull成功,也可选择使用码云上的托管:
10 |
11 | ```
12 | git clone https://gitee.com/paddlepaddle/PaddleOCR
13 | ```
14 |
15 | 注:码云托管代码可能无法实时同步本github项目更新,存在3~5天延时,请优先使用推荐方式。
16 |
17 | ## 2. 安装第三方库
18 |
19 | ```
20 | cd PaddleOCR
21 | pip3 install -r requirements.txt
22 | ```
23 |
24 |
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/doc/doc_ch/data_annotation.md:
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1 | ## 数据标注工具
2 | 这里整理了常用的数据标注工具,持续更新中,欢迎各位小伙伴贡献工具~
3 |
4 |
5 | ### 1. labelImg
6 | - 工具描述:矩形标注
7 | - 工具地址:https://github.com/tzutalin/labelImg
8 | - 示意图:
9 | 
10 |
11 | ### 2. roLabelImg
12 | - 工具描述:基于labelImg重写的标注工具,支持旋转矩形标注
13 | - 工具地址:https://github.com/cgvict/roLabelImg
14 | - 示意图:
15 | 
16 |
17 | ### 3. labelme
18 | - 工具描述:支持四点、多边形、圆形等多种标注
19 | - 工具地址:https://github.com/wkentaro/labelme
20 | - 示意图:
21 | 
22 |
23 | ### 4. Vott
24 | - 工具描述:支持矩形,多边形等图片标注.支持视频标注.方便使用的快捷键以及比较好看的界面.同时支持导出多种标签格式.
25 | - 工具地址:https://github.com/microsoft/VoTT
26 | - 示意图:
27 | 
28 |
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/doc/doc_ch/data_synthesis.md:
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1 | # 数据合成工具
2 | 除了开源数据,用户还可使用合成工具自行合成。这里整理了常用的数据合成工具,持续更新中,欢迎各位小伙伴贡献工具~
3 | - [text_renderer](https://github.com/Sanster/text_renderer)
4 | - [SynthText](https://github.com/ankush-me/SynthText)
5 | - [SynthText_Chinese_version](https://github.com/JarveeLee/SynthText_Chinese_version)
6 | - [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator)
7 | - [SynthText3D](https://github.com/MhLiao/SynthText3D)
8 | - [UnrealText](https://github.com/Jyouhou/UnrealText/)
9 | - [SynthTIGER](https://github.com/clovaai/synthtiger)
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1 | # 《动手学OCR》电子书
2 |
3 | 《动手学OCR》是PaddleOCR团队携手复旦大学青年研究员陈智能、中国移动研究院视觉领域资深专家黄文辉等产学研同仁,以及OCR开发者共同打造的结合OCR前沿理论与代码实践的教材。主要特色如下:
4 |
5 | - 覆盖从文本检测识别到文档分析的OCR全栈技术
6 | - 紧密结合理论实践,跨越代码实现鸿沟,并配套教学视频
7 | - Notebook交互式学习,灵活修改代码,即刻获得结果
8 |
9 |
10 | ## 本书结构
11 |
12 | 
13 |
14 | - 第一部分是本书的推荐序、序言与预备知识,包含本书的定位与使用书籍内容的过程中需要用到的知识索引、资源链接等
15 | - 第二部分是本书的4-8章,介绍与OCR核心的检测、识别能力相关的概念、应用与产业实践。在“OCR技术导论”中总括性的解释OCR的应用场景和挑战、技术基本概念以及在产业应用中的痛点问题。然后在
16 | “文本检测”与“文本识别”两章中介绍OCR的两个基本任务,并在每章中配套一个算法展开代码详解与实战练习。第6、7章是关于PP-OCR系列模型的详细介绍,PP-OCR是一套面向产业应用的OCR系统,在
17 | 基础检测和识别模型的基础之上经过一系列优化策略达到通用领域的产业级SOTA模型,同时打通多种预测部署方案,赋能企业快速落地OCR应用。
18 | - 第三部分是本书的9-12章,介绍两阶段OCR引擎之外的应用,包括数据合成、预处理算法、端到端模型,重点展开了OCR在文档场景下的版面分析、表格识别、视觉文档问答的能力,同样通过算法与代码结
19 | 合的方式使得读者能够深入理解并应用。
20 |
21 |
22 | ## 资料地址
23 | - 中文版电子书下载请扫描首页二维码入群后领取
24 | - [notebook教程](../../notebook/notebook_ch/)
25 | - [教学视频](https://aistudio.baidu.com/aistudio/education/group/info/25207)
26 |
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/doc/doc_ch/rec_algo_compare.png:
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/doc/doc_en/clone_en.md:
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1 | # Project Clone
2 |
3 | ## 1. Clone PaddleOCR
4 |
5 | ```bash
6 | # Recommend
7 | git clone https://github.com/PaddlePaddle/PaddleOCR
8 |
9 | # If you cannot pull successfully due to network problems, you can switch to the mirror hosted on Gitee:
10 |
11 | git clone https://gitee.com/paddlepaddle/PaddleOCR
12 |
13 | # Note: The mirror on Gitee may not keep in synchronization with the latest project on GitHub. There might be a delay of 3-5 days. Please try GitHub at first.
14 | ```
15 |
16 | ## 2. Install third-party libraries
17 |
18 | ```bash
19 | cd PaddleOCR
20 | pip3 install -r requirements.txt
21 | ```
22 |
23 | If you getting this error `OSError: [WinError 126] The specified module could not be found` when you install shapely on windows.
24 |
25 | Please try to download Shapely whl file from [http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely](http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely).
26 |
27 | Reference: [Solve shapely installation on windows](https://stackoverflow.com/questions/44398265/install-shapely-oserror-winerror-126-the-specified-module-could-not-be-found)
28 |
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/doc/doc_en/data_annotation_en.md:
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1 | # DATA ANNOTATION TOOLS
2 | There are the commonly used data annotation tools, which will be continuously updated. Welcome to contribute tools~
3 |
4 | ### 1. labelImg
5 | - Tool description: Rectangular label
6 | - Tool address: https://github.com/tzutalin/labelImg
7 | - Sketch diagram:
8 | 
9 |
10 | ### 2. roLabelImg
11 | - Tool description: Label tool rewritten based on labelImg, supporting rotating rectangular label
12 | - Tool address: https://github.com/cgvict/roLabelImg
13 | - Sketch diagram:
14 | 
15 |
16 | ### 3. labelme
17 | - Tool description: Support four points, polygons, circles and other labels
18 | - Tool address: https://github.com/wkentaro/labelme
19 | - Sketch diagram:
20 | 
21 |
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/doc/doc_en/data_synthesis_en.md:
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1 | # DATA SYNTHESIS TOOLS
2 |
3 | In addition to open source data, users can also use synthesis tools to synthesize data.
4 | There are the commonly used data synthesis tools, which will be continuously updated. Welcome to contribute tools~
5 |
6 | * [Text_renderer](https://github.com/Sanster/text_renderer)
7 | * [SynthText](https://github.com/ankush-me/SynthText)
8 | * [SynthText_Chinese_version](https://github.com/JarveeLee/SynthText_Chinese_version)
9 | * [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator)
10 | * [SynthText3D](https://github.com/MhLiao/SynthText3D)
11 | * [UnrealText](https://github.com/Jyouhou/UnrealText/)
12 | * [SynthTIGER](https://github.com/clovaai/synthtiger)
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1 | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
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1 | # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 | from paddle.vision.transforms import ColorJitter as pp_ColorJitter
15 |
16 | __all__ = ['ColorJitter']
17 |
18 | class ColorJitter(object):
19 | def __init__(self, brightness=0, contrast=0, saturation=0, hue=0,**kwargs):
20 | self.aug = pp_ColorJitter(brightness, contrast, saturation, hue)
21 |
22 | def __call__(self, data):
23 | image = data['image']
24 | image = self.aug(image)
25 | data['image'] = image
26 | return data
27 |
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1 | # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | from .augment import tia_perspective, tia_distort, tia_stretch
16 |
17 | __all__ = ['tia_distort', 'tia_stretch', 'tia_perspective']
18 |
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1 | # copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | from .token import VQATokenPad, VQASerTokenChunk, VQAReTokenChunk, VQAReTokenRelation, TensorizeEntitiesRelations
16 |
17 | __all__ = [
18 | 'VQATokenPad', 'VQASerTokenChunk', 'VQAReTokenChunk', 'VQAReTokenRelation',
19 | 'TensorizeEntitiesRelations'
20 | ]
21 |
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1 | # copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | from .vqa_token_chunk import VQASerTokenChunk, VQAReTokenChunk
16 | from .vqa_token_pad import VQATokenPad
17 | from .vqa_token_relation import VQAReTokenRelation
18 | from .vqa_re_convert import TensorizeEntitiesRelations
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/ppocr/ext_op/__init__.py:
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1 | from .roi_align_rotated.roi_align_rotated import RoIAlignRotated
2 |
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/ppocr/losses/cls_loss.py:
--------------------------------------------------------------------------------
1 | # copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | from __future__ import absolute_import
16 | from __future__ import division
17 | from __future__ import print_function
18 |
19 | from paddle import nn
20 |
21 |
22 | class ClsLoss(nn.Layer):
23 | def __init__(self, **kwargs):
24 | super(ClsLoss, self).__init__()
25 | self.loss_func = nn.CrossEntropyLoss(reduction='mean')
26 |
27 | def forward(self, predicts, batch):
28 | label = batch[1].astype("int64")
29 | loss = self.loss_func(input=predicts, label=label)
30 | return {'loss': loss}
31 |
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1 | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | from .pse_postprocess import PSEPostProcess
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/ppocr/postprocess/pse_postprocess/pse/README.md:
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1 | ## 编译
2 | This code is refer from:
3 | https://github.com/whai362/PSENet/blob/python3/models/post_processing/pse
4 | ```python
5 | python3 setup.py build_ext --inplace
6 | ```
7 |
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/ppocr/postprocess/pse_postprocess/pse/setup.py:
--------------------------------------------------------------------------------
1 | from distutils.core import setup, Extension
2 | from Cython.Build import cythonize
3 | import numpy
4 |
5 | setup(ext_modules=cythonize(Extension(
6 | 'pse',
7 | sources=['pse.pyx'],
8 | language='c++',
9 | include_dirs=[numpy.get_include()],
10 | library_dirs=[],
11 | libraries=[],
12 | extra_compile_args=['-O3'],
13 | extra_link_args=[]
14 | )))
15 |
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1 | 0
2 | 1
3 | 2
4 | 3
5 | 4
6 | 5
7 | 6
8 | 7
9 | 8
10 | 9
11 | a
12 | b
13 | c
14 | d
15 | e
16 | f
17 | g
18 | h
19 | i
20 | j
21 | k
22 | l
23 | m
24 | n
25 | o
26 | p
27 | q
28 | r
29 | s
30 | t
31 | u
32 | v
33 | w
34 | x
35 | y
36 | z
37 | A
38 | B
39 | C
40 | D
41 | E
42 | F
43 | G
44 | H
45 | I
46 | J
47 | K
48 | L
49 | M
50 | N
51 | O
52 | P
53 | Q
54 | R
55 | S
56 | T
57 | U
58 | V
59 | W
60 | X
61 | Y
62 | Z
63 | !
64 | "
65 | #
66 | $
67 | %
68 | &
69 | '
70 | (
71 | )
72 | *
73 | +
74 | ,
75 | -
76 | .
77 | /
78 | :
79 | ;
80 | <
81 | =
82 | >
83 | ?
84 | @
85 | [
86 | \
87 | ]
88 | ^
89 | _
90 | `
91 | {
92 | |
93 | }
94 | ~
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/ppocr/utils/__init__.py:
--------------------------------------------------------------------------------
1 | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
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1 | a
2 | r
3 | b
4 | i
5 | c
6 | _
7 | m
8 | g
9 | /
10 | 1
11 | 0
12 | I
13 | L
14 | S
15 | V
16 | R
17 | C
18 | 2
19 | v
20 | l
21 | 6
22 | 3
23 | 9
24 | .
25 | j
26 | p
27 | ا
28 | ل
29 | م
30 | ر
31 | ج
32 | و
33 | ح
34 | ي
35 | ة
36 | 5
37 | 8
38 | 7
39 | أ
40 | ب
41 | ض
42 | 4
43 | ك
44 | س
45 | ه
46 | ث
47 | ن
48 | ط
49 | ع
50 | ت
51 | غ
52 | خ
53 | ف
54 | ئ
55 | ز
56 | إ
57 | د
58 | ص
59 | ظ
60 | ذ
61 | ش
62 | ى
63 | ق
64 | ؤ
65 | آ
66 | ء
67 | s
68 | e
69 | n
70 | w
71 | t
72 | u
73 | z
74 | d
75 | A
76 | N
77 | G
78 | h
79 | o
80 | E
81 | T
82 | H
83 | O
84 | B
85 | y
86 | F
87 | U
88 | J
89 | X
90 | W
91 | P
92 | Z
93 | M
94 | k
95 | q
96 | Y
97 | Q
98 | D
99 | f
100 | K
101 | x
102 | '
103 | %
104 | -
105 | #
106 | @
107 | !
108 | &
109 | $
110 | ,
111 | :
112 | é
113 | ?
114 | +
115 | É
116 | (
117 |
118 |
--------------------------------------------------------------------------------
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1 | b
2 | e
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 2
9 | 0
10 | I
11 | L
12 | S
13 | V
14 | R
15 | C
16 | 1
17 | v
18 | a
19 | l
20 | 6
21 | 9
22 | 4
23 | 3
24 | .
25 | j
26 | p
27 | п
28 | а
29 | з
30 | б
31 | у
32 | г
33 | н
34 | ц
35 | ь
36 | 8
37 | м
38 | л
39 | і
40 | о
41 | ў
42 | ы
43 | 7
44 | 5
45 | М
46 | х
47 | с
48 | р
49 | ф
50 | я
51 | е
52 | д
53 | ж
54 | ю
55 | ч
56 | й
57 | к
58 | Д
59 | в
60 | Б
61 | т
62 | І
63 | ш
64 | ё
65 | э
66 | К
67 | Л
68 | Н
69 | А
70 | Ж
71 | Г
72 | В
73 | П
74 | З
75 | Е
76 | О
77 | Р
78 | С
79 | У
80 | Ё
81 | Й
82 | Т
83 | Ч
84 | Э
85 | Ц
86 | Ю
87 | Ш
88 | Ф
89 | Х
90 | Я
91 | Ь
92 | Ы
93 | Ў
94 | s
95 | c
96 | n
97 | w
98 | M
99 | o
100 | t
101 | T
102 | E
103 | A
104 | B
105 | u
106 | h
107 | y
108 | k
109 | r
110 | H
111 | d
112 | Y
113 | O
114 | U
115 | F
116 | f
117 | x
118 | D
119 | G
120 | N
121 | K
122 | P
123 | z
124 | J
125 | X
126 | W
127 | Z
128 | Q
129 | %
130 | -
131 | q
132 | @
133 | '
134 | !
135 | #
136 | &
137 | ,
138 | :
139 | $
140 | (
141 | ?
142 | é
143 | +
144 | É
145 |
146 |
--------------------------------------------------------------------------------
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1 | !
2 | #
3 | $
4 | %
5 | &
6 | '
7 | (
8 | +
9 | ,
10 | -
11 | .
12 | /
13 | 0
14 | 1
15 | 2
16 | 3
17 | 4
18 | 5
19 | 6
20 | 7
21 | 8
22 | 9
23 | :
24 | ?
25 | @
26 | A
27 | B
28 | C
29 | D
30 | E
31 | F
32 | G
33 | H
34 | I
35 | J
36 | K
37 | L
38 | M
39 | N
40 | O
41 | P
42 | Q
43 | R
44 | S
45 | T
46 | U
47 | V
48 | W
49 | X
50 | Y
51 | Z
52 | _
53 | a
54 | b
55 | c
56 | d
57 | e
58 | f
59 | g
60 | h
61 | i
62 | j
63 | k
64 | l
65 | m
66 | n
67 | o
68 | p
69 | q
70 | r
71 | s
72 | t
73 | u
74 | v
75 | w
76 | x
77 | y
78 | z
79 | É
80 | é
81 | А
82 | Б
83 | В
84 | Г
85 | Д
86 | Е
87 | Ж
88 | З
89 | И
90 | Й
91 | К
92 | Л
93 | М
94 | Н
95 | О
96 | П
97 | Р
98 | С
99 | Т
100 | У
101 | Ф
102 | Х
103 | Ц
104 | Ч
105 | Ш
106 | Щ
107 | Ъ
108 | Ю
109 | Я
110 | а
111 | б
112 | в
113 | г
114 | д
115 | е
116 | ж
117 | з
118 | и
119 | й
120 | к
121 | л
122 | м
123 | н
124 | о
125 | п
126 | р
127 | с
128 | т
129 | у
130 | ф
131 | х
132 | ц
133 | ч
134 | ш
135 | щ
136 | ъ
137 | ь
138 | ю
139 | я
140 |
141 |
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1 | 0
2 | 1
3 | 2
4 | 3
5 | 4
6 | 5
7 | 6
8 | 7
9 | 8
10 | 9
11 | a
12 | b
13 | c
14 | d
15 | e
16 | f
17 | g
18 | h
19 | i
20 | j
21 | k
22 | l
23 | m
24 | n
25 | o
26 | p
27 | q
28 | r
29 | s
30 | t
31 | u
32 | v
33 | w
34 | x
35 | y
36 | z
37 | A
38 | B
39 | C
40 | D
41 | E
42 | F
43 | G
44 | H
45 | I
46 | J
47 | K
48 | L
49 | M
50 | N
51 | O
52 | P
53 | Q
54 | R
55 | S
56 | T
57 | U
58 | V
59 | W
60 | X
61 | Y
62 | Z
63 |
64 |
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1 | f
2 | a
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 1
9 | 3
10 | I
11 | L
12 | S
13 | V
14 | R
15 | C
16 | 2
17 | 0
18 | v
19 | l
20 | 6
21 | 8
22 | 5
23 | .
24 | j
25 | p
26 | و
27 | د
28 | ر
29 | ك
30 | ن
31 | ش
32 | ه
33 | ا
34 | 4
35 | 9
36 | ی
37 | ج
38 | ِ
39 | 7
40 | غ
41 | ل
42 | س
43 | ز
44 | ّ
45 | ت
46 | ک
47 | گ
48 | ي
49 | م
50 | ب
51 | ف
52 | چ
53 | خ
54 | ق
55 | ژ
56 | آ
57 | ص
58 | پ
59 | َ
60 | ع
61 | ئ
62 | ح
63 | ٔ
64 | ض
65 | ُ
66 | ذ
67 | أ
68 | ى
69 | ط
70 | ظ
71 | ث
72 | ة
73 | ً
74 | ء
75 | ؤ
76 | ْ
77 | ۀ
78 | إ
79 | ٍ
80 | ٌ
81 | ٰ
82 | ٓ
83 | ٱ
84 | s
85 | c
86 | e
87 | n
88 | w
89 | N
90 | E
91 | W
92 | Y
93 | D
94 | O
95 | H
96 | A
97 | d
98 | z
99 | r
100 | T
101 | G
102 | o
103 | t
104 | x
105 | h
106 | b
107 | B
108 | M
109 | Z
110 | u
111 | P
112 | F
113 | y
114 | q
115 | U
116 | K
117 | k
118 | J
119 | Q
120 | '
121 | X
122 | #
123 | ?
124 | %
125 | $
126 | ,
127 | :
128 | &
129 | !
130 | -
131 | (
132 | É
133 | @
134 | é
135 | +
136 |
137 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/french_dict.txt:
--------------------------------------------------------------------------------
1 | f
2 | e
3 | n
4 | c
5 | h
6 | _
7 | i
8 | m
9 | g
10 | /
11 | r
12 | v
13 | a
14 | l
15 | t
16 | w
17 | o
18 | d
19 | 6
20 | 1
21 | .
22 | p
23 | B
24 | u
25 | 2
26 | à
27 | 3
28 | R
29 | y
30 | 4
31 | U
32 | E
33 | A
34 | 5
35 | P
36 | O
37 | S
38 | T
39 | D
40 | 7
41 | Z
42 | 8
43 | I
44 | N
45 | L
46 | G
47 | M
48 | H
49 | 0
50 | J
51 | K
52 | -
53 | 9
54 | F
55 | C
56 | V
57 | é
58 | X
59 | '
60 | s
61 | Q
62 | :
63 | è
64 | x
65 | b
66 | Y
67 | Œ
68 | É
69 | z
70 | W
71 | Ç
72 | È
73 | k
74 | Ô
75 | ô
76 | €
77 | À
78 | Ê
79 | q
80 | ù
81 | °
82 | ê
83 | î
84 | *
85 | Â
86 | j
87 | "
88 | ,
89 | â
90 | %
91 | û
92 | ç
93 | ü
94 | ?
95 | !
96 | ;
97 | ö
98 | (
99 | )
100 | ï
101 | º
102 | ó
103 | ø
104 | å
105 | +
106 | ™
107 | á
108 | Ë
109 | <
110 | ²
111 | Á
112 | Î
113 | &
114 | @
115 | œ
116 | ε
117 | Ü
118 | ë
119 | [
120 | ]
121 | í
122 | ò
123 | Ö
124 | ä
125 | ß
126 | «
127 | »
128 | ú
129 | ñ
130 | æ
131 | µ
132 | ³
133 | Å
134 | $
135 | #
136 |
137 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/german_dict.txt:
--------------------------------------------------------------------------------
1 |
2 | !
3 | "
4 | #
5 | $
6 | %
7 | &
8 | '
9 | (
10 | )
11 | *
12 | +
13 | ,
14 | -
15 | .
16 | /
17 | 0
18 | 1
19 | 2
20 | 3
21 | 4
22 | 5
23 | 6
24 | 7
25 | 8
26 | 9
27 | :
28 | ;
29 | =
30 | >
31 | ?
32 | @
33 | A
34 | B
35 | C
36 | D
37 | E
38 | F
39 | G
40 | H
41 | I
42 | J
43 | K
44 | L
45 | M
46 | N
47 | O
48 | P
49 | Q
50 | R
51 | S
52 | T
53 | U
54 | V
55 | W
56 | X
57 | Y
58 | Z
59 | [
60 | ]
61 | _
62 | a
63 | b
64 | c
65 | d
66 | e
67 | f
68 | g
69 | h
70 | i
71 | j
72 | k
73 | l
74 | m
75 | n
76 | o
77 | p
78 | q
79 | r
80 | s
81 | t
82 | u
83 | v
84 | w
85 | x
86 | y
87 | z
88 | £
89 | §
90 |
91 | °
92 | ´
93 | µ
94 | ·
95 | º
96 | ¿
97 | Á
98 | Ä
99 | Å
100 | É
101 | Ï
102 | Ô
103 | Ö
104 | Ü
105 | ß
106 | à
107 | á
108 | â
109 | ã
110 | ä
111 | å
112 | æ
113 | ç
114 | è
115 | é
116 | ê
117 | ë
118 | í
119 | ï
120 | ñ
121 | ò
122 | ó
123 | ô
124 | ö
125 | ø
126 | ù
127 | ú
128 | û
129 | ü
130 | ō
131 | Š
132 | Ÿ
133 | ʒ
134 | β
135 | δ
136 | з
137 | Ṡ
138 | ‘
139 | €
140 | ©
141 | ª
142 | «
143 | ¬
144 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/it_dict.txt:
--------------------------------------------------------------------------------
1 | i
2 | t
3 | _
4 | m
5 | g
6 | /
7 | 5
8 | I
9 | L
10 | S
11 | V
12 | R
13 | C
14 | 2
15 | 0
16 | 1
17 | v
18 | a
19 | l
20 | 7
21 | 8
22 | 9
23 | 6
24 | .
25 | j
26 | p
27 |
28 | e
29 | r
30 | o
31 | d
32 | s
33 | n
34 | 3
35 | 4
36 | P
37 | u
38 | c
39 | A
40 | -
41 | ,
42 | "
43 | z
44 | h
45 | f
46 | b
47 | q
48 | ì
49 | '
50 | à
51 | O
52 | è
53 | G
54 | ù
55 | é
56 | ò
57 | ;
58 | F
59 | E
60 | B
61 | N
62 | H
63 | k
64 | :
65 | U
66 | T
67 | X
68 | D
69 | K
70 | ?
71 | [
72 | M
73 |
74 | x
75 | y
76 | (
77 | )
78 | W
79 | ö
80 | º
81 | w
82 | ]
83 | Q
84 | J
85 | +
86 | ü
87 | !
88 | È
89 | á
90 | %
91 | =
92 | »
93 | ñ
94 | Ö
95 | Y
96 | ä
97 | í
98 | Z
99 | «
100 | @
101 | ó
102 | ø
103 | ï
104 | ú
105 | ê
106 | ç
107 | Á
108 | É
109 | Å
110 | ß
111 | {
112 | }
113 | &
114 | `
115 | û
116 | î
117 | #
118 | $
119 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/ka_dict.txt:
--------------------------------------------------------------------------------
1 | k
2 | a
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 1
9 | 2
10 | I
11 | L
12 | S
13 | V
14 | R
15 | C
16 | 0
17 | v
18 | l
19 | 6
20 | 4
21 | 8
22 | .
23 | j
24 | p
25 | ಗ
26 | ು
27 | ಣ
28 | ಪ
29 | ಡ
30 | ಿ
31 | ಸ
32 | ಲ
33 | ಾ
34 | ದ
35 | ್
36 | 7
37 | 5
38 | 3
39 | ವ
40 | ಷ
41 | ಬ
42 | ಹ
43 | ೆ
44 | 9
45 | ಅ
46 | ಳ
47 | ನ
48 | ರ
49 | ಉ
50 | ಕ
51 | ಎ
52 | ೇ
53 | ಂ
54 | ೈ
55 | ೊ
56 | ೀ
57 | ಯ
58 | ೋ
59 | ತ
60 | ಶ
61 | ಭ
62 | ಧ
63 | ಚ
64 | ಜ
65 | ೂ
66 | ಮ
67 | ಒ
68 | ೃ
69 | ಥ
70 | ಇ
71 | ಟ
72 | ಖ
73 | ಆ
74 | ಞ
75 | ಫ
76 | -
77 | ಢ
78 | ಊ
79 | ಓ
80 | ಐ
81 | ಃ
82 | ಘ
83 | ಝ
84 | ೌ
85 | ಠ
86 | ಛ
87 | ಔ
88 | ಏ
89 | ಈ
90 | ಋ
91 | ೨
92 | ೦
93 | ೧
94 | ೮
95 | ೯
96 | ೪
97 | ,
98 | ೫
99 | ೭
100 | ೩
101 | ೬
102 | ಙ
103 | s
104 | c
105 | e
106 | n
107 | w
108 | o
109 | u
110 | t
111 | d
112 | E
113 | A
114 | T
115 | B
116 | Z
117 | N
118 | G
119 | O
120 | q
121 | z
122 | r
123 | x
124 | P
125 | K
126 | M
127 | J
128 | U
129 | D
130 | f
131 | F
132 | h
133 | b
134 | W
135 | Y
136 | y
137 | H
138 | X
139 | Q
140 | '
141 | #
142 | &
143 | !
144 | @
145 | $
146 | :
147 | %
148 | é
149 | É
150 | (
151 | ?
152 | +
153 |
154 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/kie_dict/xfund_class_list.txt:
--------------------------------------------------------------------------------
1 | OTHER
2 | QUESTION
3 | ANSWER
4 | HEADER
5 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/latex_symbol_dict.txt:
--------------------------------------------------------------------------------
1 | eos
2 | sos
3 | !
4 | '
5 | (
6 | )
7 | +
8 | ,
9 | -
10 | .
11 | /
12 | 0
13 | 1
14 | 2
15 | 3
16 | 4
17 | 5
18 | 6
19 | 7
20 | 8
21 | 9
22 | <
23 | =
24 | >
25 | A
26 | B
27 | C
28 | E
29 | F
30 | G
31 | H
32 | I
33 | L
34 | M
35 | N
36 | P
37 | R
38 | S
39 | T
40 | V
41 | X
42 | Y
43 | [
44 | \Delta
45 | \alpha
46 | \beta
47 | \cdot
48 | \cdots
49 | \cos
50 | \div
51 | \exists
52 | \forall
53 | \frac
54 | \gamma
55 | \geq
56 | \in
57 | \infty
58 | \int
59 | \lambda
60 | \ldots
61 | \leq
62 | \lim
63 | \log
64 | \mu
65 | \neq
66 | \phi
67 | \pi
68 | \pm
69 | \prime
70 | \rightarrow
71 | \sigma
72 | \sin
73 | \sqrt
74 | \sum
75 | \tan
76 | \theta
77 | \times
78 | ]
79 | a
80 | b
81 | c
82 | d
83 | e
84 | f
85 | g
86 | h
87 | i
88 | j
89 | k
90 | l
91 | m
92 | n
93 | o
94 | p
95 | q
96 | r
97 | s
98 | t
99 | u
100 | v
101 | w
102 | x
103 | y
104 | z
105 | \{
106 | |
107 | \}
108 | {
109 | }
110 | ^
111 | _
--------------------------------------------------------------------------------
/ppocr/utils/dict/layout_dict/layout_cdla_dict.txt:
--------------------------------------------------------------------------------
1 | text
2 | title
3 | figure
4 | figure_caption
5 | table
6 | table_caption
7 | header
8 | footer
9 | reference
10 | equation
--------------------------------------------------------------------------------
/ppocr/utils/dict/layout_dict/layout_publaynet_dict.txt:
--------------------------------------------------------------------------------
1 | text
2 | title
3 | list
4 | table
5 | figure
--------------------------------------------------------------------------------
/ppocr/utils/dict/layout_dict/layout_table_dict.txt:
--------------------------------------------------------------------------------
1 | table
--------------------------------------------------------------------------------
/ppocr/utils/dict/mr_dict.txt:
--------------------------------------------------------------------------------
1 |
2 | !
3 | #
4 | $
5 | %
6 | &
7 | '
8 | (
9 | +
10 | ,
11 | -
12 | .
13 | /
14 | 0
15 | 1
16 | 2
17 | 3
18 | 4
19 | 5
20 | 6
21 | 7
22 | 8
23 | 9
24 | :
25 | ?
26 | @
27 | A
28 | B
29 | C
30 | D
31 | E
32 | F
33 | G
34 | H
35 | I
36 | J
37 | K
38 | L
39 | M
40 | N
41 | O
42 | P
43 | Q
44 | R
45 | S
46 | T
47 | U
48 | V
49 | W
50 | X
51 | Y
52 | Z
53 | _
54 | a
55 | b
56 | c
57 | d
58 | e
59 | f
60 | g
61 | h
62 | i
63 | j
64 | k
65 | l
66 | m
67 | n
68 | o
69 | p
70 | q
71 | r
72 | s
73 | t
74 | u
75 | v
76 | w
77 | x
78 | y
79 | z
80 | É
81 | é
82 | ँ
83 | ं
84 | ः
85 | अ
86 | आ
87 | इ
88 | ई
89 | उ
90 | ऊ
91 | ए
92 | ऐ
93 | ऑ
94 | ओ
95 | औ
96 | क
97 | ख
98 | ग
99 | घ
100 | च
101 | छ
102 | ज
103 | झ
104 | ञ
105 | ट
106 | ठ
107 | ड
108 | ढ
109 | ण
110 | त
111 | थ
112 | द
113 | ध
114 | न
115 | प
116 | फ
117 | ब
118 | भ
119 | म
120 | य
121 | र
122 | ऱ
123 | ल
124 | ळ
125 | व
126 | श
127 | ष
128 | स
129 | ह
130 | ़
131 | ा
132 | ि
133 | ी
134 | ु
135 | ू
136 | ृ
137 | ॅ
138 | े
139 | ै
140 | ॉ
141 | ो
142 | ौ
143 | ्
144 | ०
145 | १
146 | २
147 | ३
148 | ४
149 | ५
150 | ६
151 | ७
152 | ८
153 | ९
154 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/oc_dict.txt:
--------------------------------------------------------------------------------
1 | o
2 | c
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 2
9 | 0
10 | I
11 | L
12 | S
13 | V
14 | R
15 | C
16 | 1
17 | v
18 | a
19 | l
20 | 4
21 | 3
22 | .
23 | j
24 | p
25 | r
26 | e
27 | è
28 | t
29 | 9
30 | 7
31 | 5
32 | 8
33 | n
34 | '
35 | b
36 | s
37 | 6
38 | q
39 | u
40 | á
41 | d
42 | ò
43 | à
44 | h
45 | z
46 | f
47 | ï
48 | í
49 | A
50 | ç
51 | x
52 | ó
53 | é
54 | P
55 | O
56 | Ò
57 | ü
58 | k
59 | À
60 | F
61 | -
62 | ú
63 |
64 | æ
65 | Á
66 | D
67 | E
68 | w
69 | K
70 | T
71 | N
72 | y
73 | U
74 | Z
75 | G
76 | B
77 | J
78 | H
79 | M
80 | W
81 | Y
82 | X
83 | Q
84 | %
85 | $
86 | ,
87 | @
88 | &
89 | !
90 | :
91 | (
92 | #
93 | ?
94 | +
95 | É
96 |
97 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/pu_dict.txt:
--------------------------------------------------------------------------------
1 | p
2 | u
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 8
9 | I
10 | L
11 | S
12 | V
13 | R
14 | C
15 | 2
16 | 0
17 | 1
18 | v
19 | a
20 | l
21 | 6
22 | 7
23 | 4
24 | 5
25 | .
26 | j
27 |
28 | q
29 | e
30 | s
31 | t
32 | ã
33 | o
34 | x
35 | 9
36 | c
37 | n
38 | r
39 | z
40 | ç
41 | õ
42 | 3
43 | A
44 | U
45 | d
46 | º
47 | ô
48 |
49 | ,
50 | E
51 | ;
52 | ó
53 | á
54 | b
55 | D
56 | ?
57 | ú
58 | ê
59 | -
60 | h
61 | P
62 | f
63 | à
64 | N
65 | í
66 | O
67 | M
68 | G
69 | É
70 | é
71 | â
72 | F
73 | :
74 | T
75 | Á
76 | "
77 | Q
78 | )
79 | W
80 | J
81 | B
82 | H
83 | (
84 | ö
85 | %
86 | Ö
87 | «
88 | w
89 | K
90 | y
91 | !
92 | k
93 | ]
94 | '
95 | Z
96 | +
97 | Ç
98 | Õ
99 | Y
100 | À
101 | X
102 | µ
103 | »
104 | ª
105 | Í
106 | ü
107 | ä
108 | ´
109 | è
110 | ñ
111 | ß
112 | ï
113 | Ú
114 | ë
115 | Ô
116 | Ï
117 | Ó
118 | [
119 | Ì
120 | <
121 | Â
122 | ò
123 | §
124 | ³
125 | ø
126 | å
127 | #
128 | $
129 | &
130 | @
131 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/rs_dict.txt:
--------------------------------------------------------------------------------
1 | r
2 | s
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 1
9 | I
10 | L
11 | S
12 | V
13 | R
14 | C
15 | 2
16 | 0
17 | v
18 | a
19 | l
20 | 7
21 | 5
22 | 8
23 | 6
24 | .
25 | j
26 | p
27 |
28 | t
29 | d
30 | 9
31 | 3
32 | e
33 | š
34 | 4
35 | k
36 | u
37 | ć
38 | c
39 | n
40 | đ
41 | o
42 | z
43 | č
44 | b
45 | ž
46 | f
47 | Z
48 | T
49 | h
50 | M
51 | F
52 | O
53 | Š
54 | B
55 | H
56 | A
57 | E
58 | Đ
59 | Ž
60 | D
61 | P
62 | G
63 | Č
64 | K
65 | U
66 | N
67 | J
68 | Ć
69 | w
70 | y
71 | W
72 | x
73 | Y
74 | X
75 | q
76 | Q
77 | #
78 | &
79 | $
80 | ,
81 | -
82 | %
83 | '
84 | @
85 | !
86 | :
87 | ?
88 | (
89 | É
90 | é
91 | +
92 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/rsc_dict.txt:
--------------------------------------------------------------------------------
1 | r
2 | s
3 | c
4 | _
5 | i
6 | m
7 | g
8 | /
9 | 5
10 | I
11 | L
12 | S
13 | V
14 | R
15 | C
16 | 2
17 | 0
18 | 1
19 | v
20 | a
21 | l
22 | 9
23 | 7
24 | 8
25 | .
26 | j
27 | p
28 | м
29 | а
30 | с
31 | и
32 | р
33 | ћ
34 | е
35 | ш
36 | 3
37 | 4
38 | о
39 | г
40 | н
41 | з
42 | в
43 | л
44 | 6
45 | т
46 | ж
47 | у
48 | к
49 | п
50 | њ
51 | д
52 | ч
53 | С
54 | ј
55 | ф
56 | ц
57 | љ
58 | х
59 | О
60 | И
61 | А
62 | б
63 | Ш
64 | К
65 | ђ
66 | џ
67 | М
68 | В
69 | З
70 | Д
71 | Р
72 | У
73 | Н
74 | Т
75 | Б
76 | ?
77 | П
78 | Х
79 | Ј
80 | Ц
81 | Г
82 | Љ
83 | Л
84 | Ф
85 | e
86 | n
87 | w
88 | E
89 | F
90 | A
91 | N
92 | f
93 | o
94 | b
95 | M
96 | G
97 | t
98 | y
99 | W
100 | k
101 | P
102 | u
103 | H
104 | B
105 | T
106 | z
107 | h
108 | O
109 | Y
110 | d
111 | U
112 | K
113 | D
114 | x
115 | X
116 | J
117 | Z
118 | Q
119 | q
120 | '
121 | -
122 | @
123 | é
124 | #
125 | !
126 | ,
127 | %
128 | $
129 | :
130 | &
131 | +
132 | (
133 | É
134 |
135 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/ru_dict.txt:
--------------------------------------------------------------------------------
1 | к
2 | в
3 | а
4 | з
5 | и
6 | у
7 | р
8 | о
9 | н
10 | я
11 | х
12 | п
13 | л
14 | ы
15 | г
16 | е
17 | т
18 | м
19 | д
20 | ж
21 | ш
22 | ь
23 | с
24 | ё
25 | б
26 | й
27 | ч
28 | ю
29 | ц
30 | щ
31 | М
32 | э
33 | ф
34 | А
35 | ъ
36 | С
37 | Ф
38 | Ю
39 | В
40 | К
41 | Т
42 | Н
43 | О
44 | Э
45 | У
46 | И
47 | Г
48 | Л
49 | Р
50 | Д
51 | Б
52 | Ш
53 | П
54 | З
55 | Х
56 | Е
57 | Ж
58 | Я
59 | Ц
60 | Ч
61 | Й
62 | Щ
63 | 0
64 | 1
65 | 2
66 | 3
67 | 4
68 | 5
69 | 6
70 | 7
71 | 8
72 | 9
73 | a
74 | b
75 | c
76 | d
77 | e
78 | f
79 | g
80 | h
81 | i
82 | j
83 | k
84 | l
85 | m
86 | n
87 | o
88 | p
89 | q
90 | r
91 | s
92 | t
93 | u
94 | v
95 | w
96 | x
97 | y
98 | z
99 | A
100 | B
101 | C
102 | D
103 | E
104 | F
105 | G
106 | H
107 | I
108 | J
109 | K
110 | L
111 | M
112 | N
113 | O
114 | P
115 | Q
116 | R
117 | S
118 | T
119 | U
120 | V
121 | W
122 | X
123 | Y
124 | Z
125 |
126 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/spin_dict.txt:
--------------------------------------------------------------------------------
1 | 0
2 | 1
3 | 2
4 | 3
5 | 4
6 | 5
7 | 6
8 | 7
9 | 8
10 | 9
11 | a
12 | b
13 | c
14 | d
15 | e
16 | f
17 | g
18 | h
19 | i
20 | j
21 | k
22 | l
23 | m
24 | n
25 | o
26 | p
27 | q
28 | r
29 | s
30 | t
31 | u
32 | v
33 | w
34 | x
35 | y
36 | z
37 | :
38 | (
39 | '
40 | -
41 | ,
42 | %
43 | >
44 | .
45 | [
46 | ?
47 | )
48 | "
49 | =
50 | _
51 | *
52 | ]
53 | ;
54 | &
55 | +
56 | $
57 | @
58 | /
59 | |
60 | !
61 | <
62 | #
63 | `
64 | {
65 | ~
66 | \
67 | }
68 | ^
--------------------------------------------------------------------------------
/ppocr/utils/dict/ta_dict.txt:
--------------------------------------------------------------------------------
1 | t
2 | a
3 | _
4 | i
5 | m
6 | g
7 | /
8 | 3
9 | I
10 | L
11 | S
12 | V
13 | R
14 | C
15 | 2
16 | 0
17 | 1
18 | v
19 | l
20 | 9
21 | 7
22 | 8
23 | .
24 | j
25 | p
26 | ப
27 | ூ
28 | த
29 | ம
30 | ி
31 | வ
32 | ர
33 | ்
34 | ந
35 | ோ
36 | ன
37 | 6
38 | ஆ
39 | ற
40 | ல
41 | 5
42 | ள
43 | ா
44 | ொ
45 | ழ
46 | ு
47 | 4
48 | ெ
49 | ண
50 | க
51 | ட
52 | ை
53 | ே
54 | ச
55 | ய
56 | ஒ
57 | இ
58 | அ
59 | ங
60 | உ
61 | ீ
62 | ஞ
63 | எ
64 | ஓ
65 | ஃ
66 | ஜ
67 | ஷ
68 | ஸ
69 | ஏ
70 | ஊ
71 | ஹ
72 | ஈ
73 | ஐ
74 | ௌ
75 | ஔ
76 | s
77 | c
78 | e
79 | n
80 | w
81 | F
82 | T
83 | O
84 | P
85 | K
86 | A
87 | N
88 | G
89 | Y
90 | E
91 | M
92 | H
93 | U
94 | B
95 | o
96 | b
97 | D
98 | d
99 | r
100 | W
101 | u
102 | y
103 | f
104 | X
105 | k
106 | q
107 | h
108 | J
109 | z
110 | Z
111 | Q
112 | x
113 | -
114 | '
115 | $
116 | ,
117 | %
118 | @
119 | é
120 | !
121 | #
122 | +
123 | É
124 | &
125 | :
126 | (
127 | ?
128 |
129 |
--------------------------------------------------------------------------------
/ppocr/utils/dict/table_master_structure_dict.txt:
--------------------------------------------------------------------------------
1 |
2 |
3 |
5 |
6 |
4 |