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基于Python预测引擎推理

首先介绍如何将PaddleOCR训练的模型转换成pytorch模型，然后将依次介绍文本检测、文本角度分类器、文本识别以及三者串联在CPU、GPU上的预测方法。

一、PaddleOCR训练模型转PyTorch模型

转换模型使用PaddleOCR的训练模型。

模型路径详见PaddleOCR对应模型或者百度网盘链接：https://pan.baidu.com/s/1getAprT2l_JqwhjwML0g9g 提取码：lmv7

中英文通用OCR

python3 ./converter/ch_ppocr_mobile_v2.0_det_converter.py --src_model_path paddle_ch_ppocr_mobile_v2.0_det_train_dir

python3 ./converter/ch_ppocr_server_v2.0_det_converter.py --src_model_path paddle_ch_ppocr_server_v2.0_det_train_dir

python3 ./converter/ch_ppocr_mobile_v2.0_rec_converter.py --src_model_path paddle_ch_ppocr_mobile_v2.0_rec_train_dir

python3 ./converter/ch_ppocr_server_v2.0_rec_converter.py --src_model_path paddle_ch_ppocr_server_v2.0_rec_train_dir

python3 ./converter/ch_ppocr_mobile_v2.0_cls_converter.py --src_model_path paddle_ch_ppocr_mobile_v2.0_cls_train_dir

#ppocr v2
python3 ./converter/ch_ppocr_v2_det_converter.py --src_model_path ./paddle_ch_PP-OCRv2_det_distill_train_dir

python ./converter/ch_ppocr_v2_rec_converter.py --src_model_path ./paddle_ch_PP-OCRv2_rec_train_dir

#ppocr v3
# det v3
# ch_PP-OCRv3_rec_train, en_PP-OCRv3_det_distill_train, Multilingual_PP-OCRv3_det_distill_train
python ./converter/ch_ppocr_v3_det_converter.py --src_model_path paddle_ch_PP-OCRv3_det_train_dir

python ./converter/ch_ppocr_v3_rec_converter.py --src_model_path paddle_ch_PP-OCRv3_rec_train_dir

#ppocr v4

# det v4
# ch_PP-OCRv4_det
python ./converter/ch_ppocr_v4_det_converter.py --yaml_path ./configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml --src_model_path ch_PP-OCRv4_det_train_dir
# ch_PP-OCRv4_server_det
python ./converter/ch_ppocr_v4_det_server_converter.py --yaml_path ./configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_teacher.yml --src_model_path ./models_v2.7/ppocrv4/ch_PP-OCRv4_det_server_train_dir

# rec v4
# ch_PP-OCRv4_rec
python ./converter/ch_ppocr_v4_rec_converter.py --yaml_path ./configs/rec/PP-OCRv4/ch_PP-OCRv4_rec.yml --src_model_path ch_PP-OCRv4_rec_train_dir
# ch_PP-OCRv4_server_rec
python ./converter/ch_ppocr_v4_rec_server_converter.py --yaml_path ./configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_hgnet.yml --src_model_path ch_PP-OCRv4_rec_server_train_dir

多语言识别模型

python3 ./converter/multilingual_mobile_v2.0_rec_converter.py --src_model_path paddle_multilingual_mobile_v2.0_rec_train_dir

# v3
# en_PP-OCRv3_rec, multilingual_PP-OCRv3_rec
python ./converter/multilingual_ppocr_v3_rec_converter.py --src_model_path paddle_multilingual_PP-OCRv3_rec_train_dir

# v4
# en_PP-OCRv4_rec
python ./converter/ch_ppocr_v4_rec_converter.py --yaml_path ./configs/rec/PP-OCRv4/en_PP-OCRv4_rec.yml --src_model_path en_PP-OCRv4_rec_train_dir

端到端模型

# en_server_pgnetA
python ./converter/e2e_converter.py --yaml_path ./configs/e2e/e2e_r50_vd_pg.yml --src_model_path your_ppocr_e2e_models_en_server_pgnetA_train_dir

超分辨率模型

# sr_telescope
python ./converter/sr_converter.py --yaml_path ./configs/sr/sr_telescope.yml --src_model_path your_ppocr_sr_telescope_train_dir

其他检测模型

# det_mv3_db
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_mv3_db.yml --src_model_path your_ppocr_det_mv3_db_v2.0_train_dir

# det_mv3_east
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_mv3_east.yml --src_model_path your_ppocr_det_mv3_east_v2.0_train_dir

# det_r50_vd_db
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_r50_vd_db.yml --src_model_path your_ppocr_det_r50_vd_db_v2.0_train_dir

# det_r50_vd_east
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_r50_vd_east.yml --src_model_path your_ppocr_det_r50_vd_east_v2.0_train_dir

# det_r50_vd_sast_icdar15
 python3 ./converter/det_converter.py --yaml_path ./configs/det/det_r50_vd_sast_icdar15.yml --src_model_path your_ppocr_det_r50_vd_sast_icdar15_v2.0_train_dir
 
# det_r50_vd_sast_totaltext
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_r50_vd_sast_totaltext.yml --src_model_path your_ppocr_det_r50_vd_sast_totaltext_v2.0_train_dir

# det_mv3_pse
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_mv3_pse.yml --src_model_path your_ppocr_det_mv3_pse_v2.0_train_dir

# det_r50_vd_pse
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_r50_vd_pse.yml --src_model_path your_ppocr_det_r50_vd_pse_v2.0_train_dir

# det_fcenet
python3 ./converter/det_fcenet_converter.py --src your_det_r50_dcn_fce_ctw/det_r50_dcn_fce_ctw_v2.0_train_dir

# db++
python3 ./converter/det_converter.py --yaml_path ./configs/det/det_r50_db++_icdar15.yml --src_model_path your_ppocr_det_r50_db++_icdar15_or_td_tr_train_dir

其他识别模型

# rec_mv3_none_none_ctc
python3 ./converter/rec_converter.py --yaml_path ./configs/rec/rec_mv3_none_none_ctc.yml --src_model_path your_ppocr_rec_mv3_none_none_ctc_v2.0_train_dir

# rec_r34_vd_none_none_ctc
python3 ./converter/rec_converter.py --yaml_path ./configs/rec/rec_r34_vd_none_none_ctc.yml --src_model_path your_ppocr_rec_r34_vd_none_none_ctc_v2.0_train_dir

# rec_mv3_none_bilstm_ctc
python3 ./converter/rec_converter.py --yaml_path ./configs/rec/rec_mv3_none_bilstm_ctc.yml --src_model_path your_ppocr_rec_mv3_none_bilstm_ctc_v2.0_train_dir

# rec_r34_vd_none_bilstm_ctc
python3 ./converter/rec_converter.py --yaml_path ./configs/rec/rec_r34_vd_none_bilstm_ctc.yml --src_model_path your_ppocr_rec_r34_vd_none_bilstm_ctc_v2.0_train_dir

# rec_mv3_tps_bilstm_ctc
python ./converter/rec_converter.py --yaml_path ./configs/rec/rec_mv3_tps_bilstm_ctc.yml --src_model_path your_ppocr_rec_mv3_tps_bilstm_ctc_v2.0_train_dir

# rec_r34_vd_tps_bilstm_ctc
python ./converter/rec_converter.py --yaml_path ./configs/rec/rec_r34_vd_tps_bilstm_ctc.yml --src_model_path your_ppocr_rec_r34_vd_tps_bilstm_ctc_v2.0_train_dir

# rec_mv3_tps_bilstm_att
python ./converter/rec_converter.py --yaml_path ./configs/rec/rec_mv3_tps_bilstm_att.yml --src_model_path your_ppocr_rec_mv3_tps_bilstm_att_v2.0_train_dir

# rec_r34_vd_tps_bilstm_att
python ./converter/rec_converter.py --yaml_path ./configs/rec/rec_r34_vd_tps_bilstm_att.yml --src_model_path your_ppocr_rec_r34_vd_tps_bilstm_att_v2.0_train_dir

# rec_r50_vd_srn
python ./converter/srn_converter.py --yaml_path ./configs/rec/rec_r50_fpn_srn.yml --src_model_path your_ppocr_rec_r50_vd_srn_train_dir

# NRTR
python ./rec_nrtr_mtb_converter.py --yaml_path ../configs/rec/rec_mtb_nrtr.yml --dict_path ../pytorchocr/utils/EN_symbol_dict.txt --src_model_path your_ppocr_rec_mtb_nrtr_train_dir

# SAR
python ./converter/rec_sar_converter.py --yaml_path ./configs/rec/rec_r31_sar.yml --dict_path ./pytorchocr/utils/dict90.txt --src_model_path your_rec_r31_sar_train_dir

# SVTR
python ./converter/rec_svtr_converter.py --yaml_path ./configs/rec/rec_svtr/rec_svtr_tiny_6local_6global_stn_en.yml --src_model_path your_rec_svtr_tiny_none_ctc_en_train_dir

# ViTSTR
python ./converter/rec_vitstr_converter.py --yaml_path ./configs/rec/rec_vitstr_none_ce.yml --src_model_path your_rec_vitstr_none_ce_train_dir

# CAN
python3 ./converter/rec_can_converter.py --yaml_path ./configs/rec/rec_d28_can.yml --src_model_path your_rec_d28_can_train_dir

二、PyTorch推理

PyTorch模型下载链接：https://pan.baidu.com/s/1r1DELT8BlgxeOP2RqREJEg 提取码：6clx

或者自行转换模型。

文本检测模型推理

python3 ./tools/infer/predict_det.py --image_dir ./doc/imgs --model_path your_det_pth_path.pth

# v3
python ./tools/infer/predict_det.py --det_model_path your_ch_ptocr_v3_det_infer_path.pth --image_dir ./doc/imgs/1.jpg

# ppocrv4_det
python ./tools/infer/predict_det.py --image_dir ./doc/imgs/00009282.jpg --det_model_path your_ch_ptocr_v4_det_infer_path.pth --det_yaml_path ./configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml

# ppocrv4_det server
python3 ./tools/infer/predict_det.py --image_dir ./doc/imgs/00009282.jpg --det_model_path your_ch_ptocr_v4_det_server_infer_path.pth --det_yaml_path ./configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_teacher.yml

多语言检测模型

# v3
# en_ptocr_v3_det_infer.pth, multilingual_ptocr_v3_det_infer.pth
python ./tools/infer/predict_det.py --det_algorithm DB --det_yaml_path ./configs/det/det_ppocr_v3.yml --det_model_path your_multilingual_ptocr_v3_det_infer_path.pth --image_dir ./doc/imgs/1.jpg

# v4
# en_PP-OCRv4_rec
python ./tools/infer/predict_rec.py --image_dir ./doc/imgs_words/en/word_1.png --rec_model_path your_en_ptocr_v4_rec_infer_path.pth --rec_yaml_path ./configs/rec/PP-OCRv4/en_PP-OCRv4_rec.yml --rec_image_shape='3,48,320' --rec_char_dict_path ./pytorchocr/utils/en_dict.txt

文本识别模型推理

中英文模型

python3 ./tools/infer/predict_rec.py --image_dir ./doc/imgs_words --model_path your_rec_pth_path.pth

# v3
python ./tools/infer/predict_rec.py --rec_model_path your_ch_ptocr_v3_rec_infer_path.pth --rec_image_shape 3,48,320 --image_dir ./doc/imgs_words/en/word_1.png

# ppocrv4_rec
python ./tools/infer/predict_rec.py --image_dir ./doc/imgs_words/ch/word_1.jpg --rec_model_path your_ch_ptocr_v4_rec_infer_path.pth --rec_yaml_path ./configs/rec/PP-OCRv4/ch_PP-OCRv4_rec.yml --rec_image_shape='3,48,320'

# ppocrv4_rec server
python ./tools/infer/predict_rec.py --image_dir ./doc/imgs_words/ch/word_1.jpg --rec_model_path your_ch_ptocr_v4_rec_server_infer_path.pth --rec_yaml_path ./configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_hgnet.yml --rec_image_shape='3,48,320'

Predicts of ./doc/imgs_words/ch/word_4.jpg:('实力活力', 0.98458153)

多语言识别模型

如果您需要预测的是其他语言模型，在使用inference模型预测时，需要通过--rec_char_dict_path指定使用的字典路径, 同时为了得到正确的可视化结果， 需要通过 --vis_font_path 指定可视化的字体路径，doc/fonts/ 路径下有默认提供的小语种字体

# python3 ./tools/infer/predict_rec.py --image_dir ./doc/imgs_words/spanish/es_1.jpg --rec_model_dir ../rec_models/multi_language/spanish/es_mobile_v2.0_rec_infer/ --rec_char_type your_multilingual_char_type --rec_char_dict_path ./ppocr/utils/dict/your_multilingual_dict.txt

python3 ./tools/infer/predict_rec.py --rec_model_path your_japan_mobile_v2.0_rec_infer_path.pth --rec_char_type japan --rec_char_dict_path ./pytorchocr/utils/dict/japan_dict.txt --image_dir ./doc/imgs_words/japan/1.jpg

# rec_char_type
# support_character_type = [ 
#             # release/2.0
#             'ch', 'en', 'EN_symbol', 'french', 'german', 'japan', 'korean',
#             'it', 'es', 'pt', 'ru', 'ar', 'ta', 'ug', 'fa', 'ur', 'rs_latin',
#             'oc', 'rs_cyrillic', 'bg', 'uk', 'be', 'te', 'kn', 'ch_tra', 'hi',
#             'mr', 'ne', 'EN'
#             # release/2.1
#             'xi', 'pu', 'rs', 'rsc', 'ka', 'chinese_cht', 'latin', 'arabic',
#             'cyrillic', 'devanagari'
#         ]

# v3
python ./tools/infer/predict_rec.py --rec_model_path your_en_ptocr_v3_rec_infer_path.pth --rec_image_shape 3,48,320 --rec_yaml_path ./configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml --rec_char_dict_path ./pytorchocr/utils/en_dict.txt  --image_dir ./doc/imgs_words/en/word_1.png 

python ./tools/infer/predict_rec.py --rec_model_path your_japan_ptocr_v3_rec_infer_path.pth --rec_image_shape 3,48,320 --rec_yaml_path ./configs/rec/PP-OCRv3/multi_language/japan_PP-OCRv3_rec.yml --rec_char_dict_path ./pytorchocr/utils/dict/japan_dict.txt  --image_dir ./doc/imgs_words/japan/1.jpg

参考：paddleocr.py

Predicts of ./doc/imgs_words/korean/1.jpg:('바탕으로', 0.9948904)

文本方向分类模型推理

python3 ./tools/infer/predict_cls.py --image_dir ./doc/imgs_words --model_path your_cls_pth_path.pth

Predicts of ./doc/imgs_words/ch/word_4.jpg:['0', 0.9999982]

文本检测、方向分类和文字识别串联推理

中英文模型推理

# 使用方向分类器
python3 ./tools/infer/predict_system.py --image_dir ./doc/imgs --det_model_path your_det_pth_path.pth --rec_model_path your_rec_pth_path.pth --use_angle_cls --cls_model_path your_cls_pth_path.pth --vis_font_path ./doc/fonts/your_lang_font.ttf

# 不使用方向分类器
python3 ./tools/infer/predict_system.py --image_dir ./doc/imgs --det_model_path your_det_pth_path.pth --rec_model_path your_rec_pth_path.pth

# v3
# other rec-models: use --rec_char_dict_path and --rec_yaml_path
python ./tools/infer/predict_system.py --image_dir ./doc/imgs/1.jpg --det_model_path your_ch_ptocr_v3_det_infer_path.pth --rec_image_shape 3,48,320 --rec_model_path your_ch_ptocr_v3_rec_infer_path.pth

# v4
# other det-models: use --det_yaml_path
# other rec-models: use --rec_char_dict_path, --rec_yaml_path and --rec_yaml_path
python ./tools/infer/predict_system.py --image_dir ./doc/imgs/1.jpg --det_model_path your_ch_ptocr_v4_det_infer_path.pth --det_yaml_path ./configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_student.yml --rec_image_shape 3,48,320 --rec_model_path your_ch_ptocr_v4_rec_infer_path.pth --rec_yaml_path ./configs/rec/PP-OCRv4/ch_PP-OCRv4_rec.yml

执行命令后，识别结果图像如下：

端到端模型推理

# en_server_pgnetA
python tools/infer/predict_e2e.py --e2e_model_path ./en_server_pgnetA_infer.pth --image_dir ./doc/imgs_en/img623.jpg --e2e_algorithm PGNet --e2e_pgnet_polygon True --e2e_char_dict_path ./pytorchocr/utils/ic15_dict.txt --e2e_yaml_path ./configs/e2e/e2e_r50_vd_pg.yml

超分辨率模型推理

# sr_telescope
python ./tools/infer/predict_sr.py --sr_yaml_path ./configs/sr/sr_telescope.yml --sr_model_path your_sr_telescope_infer_path.pth --image_dir
./doc/imgs_words_en/word_52.png

其他模型推理

如果想尝试使用其他检测算法或者识别算法，请参考上述文本检测模型推理和文本识别模型推理，更新相应配置和模型。

# detection
# det_mv3_db
python3 ./tools/infer/predict_det.py --det_model_path your_det_mv3_db_v2.0_infer_path.pth --image_dir ./doc/imgs_en/img_195.jpg  --det_algorithm DB --det_yaml_path ./configs/det/det_mv3_db.yml

# det_mv3_east
python3 ./tools/infer/predict_det.py --det_model_path your_det_mv3_east_v2.0_infer_path.pth --image_dir ./doc/imgs_en/img_195.jpg  --det_algorithm EAST --det_yaml_path ./configs/det/det_mv3_east.yml

# det_r50_vd_db
python3 ./tools/infer/predict_det.py --det_model_path your_det_r50_vd_db_v2.0_infer_path.pth --image_dir ./doc/imgs_en/img_195.jpg  --det_algorithm DB --det_yaml_path ./configs/det/det_r50_vd_db.yml

# det_r50_vd_east
python3 ./tools/infer/predict_det.py --det_model_path your_det_r50_vd_east_v2.0_infer_path.pth --image_dir ./doc/imgs_en/img_195.jpg  --det_algorithm EAST --det_yaml_path ./configs/det/det_r50_vd_east.yml

# det_r50_vd_sast_icdar15
python ./tools/infer/predict_det.py --det_model_path your_det_r50_vd_sast_icdar15_v2.0_infer_path.pth --image_dir ./doc/imgs/00006737.jpg  --det_algorithm SAST --det_yaml_path ./configs/det/det_r50_vd_sast_icdar15.yml

# det_r50_vd_sast_totaltext
python3 ./tools/infer/predict_det.py --det_model_path your_det_r50_vd_sast_totaltext_v2.0_infer_path.pth --image_dir ./doc/imgs/00006737.jpg  --det_algorithm SAST --det_yaml_path ./configs/det/det_r50_vd_sast_totaltext.yml

# det_mv3_pse
python3 ./tools/infer/predict_det.py --det_model_path your_det_mv3_pse_v2.0_infer_path.pth --image_dir ./doc/imgs_en/img_195.jpg  --det_algorithm PSE --det_yaml_path ./configs/det/det_mv3_pse.yml

# det_r50_vd_pse
python3 ./tools/infer/predict_det.py --det_model_path your_det_r50_vd_pse_v2.0_infer_path.pth --image_dir ./doc/imgs_en/img_195.jpg  --det_algorithm PSE --det_yaml_path ./configs/det/det_r50_vd_pse.yml

# ppocr_v3_det
python ./tools/infer/predict_det.py --det_algorithm DB --det_model_path your_xx_ptocr_v3_det_infer_path.pth --image_dir ./doc/imgs/1.jpg

# det_fcenet
python3.7 ./tools/infer/predict_det.py --det_algorithm FCE --det_model_path your_det_r50_dcn_fce_ctw_v2.0_infer_path.pth --det_fce_box_type poly --det_yaml_path ./configs/det/det_r50_vd_dcn_fce_ctw.yml --image_dir ./doc/imgs_en/img_10.jpg

# db++
python3 tools/infer/predict_det.py --image_dir ./doc/imgs_en/img_10.jpg --det_model_path your_det_r50_db++_icdar15_infer_path.pth --det_algorithm="DB++"  --det_yaml_path ./configs/det/det_r50_db++_icdar15.yml
python3 tools/infer/predict_det.py --image_dir ./doc/imgs_en/img_10.jpg --det_model_path your_det_r50_db++_td_tr_infer_path.pth --det_algorithm="DB++"  --det_yaml_path ./configs/det/det_r50_db++_td_tr.yml


# recognition
# rec_mv3_none_none_ctc
python3 ./tools/infer/predict_rec.py --rec_model_path your_rec_mv3_none_none_ctc_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_10.png --rec_char_dict_path ./pytorchocr/utils/dict/en_dict.txt --rec_char_type en --rec_yaml_path ./configs/rec/rec_mv3_none_none_ctc.yml

# rec_r34_vd_none_none_ctc
 python3 ./tools/infer/predict_rec.py --rec_model_path your_rec_r34_vd_none_none_ctc_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_201.png --rec_char_dict_path ./pytorchocr/utils/dict/en_dict.txt --rec_char_type en --rec_yaml_path ./configs/rec/rec_r34_vd_none_none_ctc.yml

# rec_mv3_none_bilstm_ctc
python3 ./tools/infer/predict_rec.py --rec_model_path your_rec_mv3_none_bilstm_ctc_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_10.png --rec_char_dict_path ./pytorchocr/utils/dict/en_dict.txt --rec_char_type en --rec_yaml_path ./configs/rec/rec_mv3_none_bilstm_ctc.yml

# rec_r34_vd_none_bilstm_ctc
python3 ./tools/infer/predict_rec.py --rec_model_path your_rec_r34_vd_none_bilstm_ctc_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_10.png --rec_char_dict_path ./pytorchocr/utils/dict/en_dict.txt --rec_char_type en --rec_yaml_path ./configs/rec/rec_r34_vd_none_bilstm_ctc.yml
 
# rec_mv3_tps_bilstm_ctc
python ./tools/infer/predict_rec.py --rec_model_path your_rec_mv3_tps_bilstm_ctc_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_401.png --rec_image_shape 3,32,100 --rec_char_type en --rec_yaml_path ./configs/rec/rec_mv3_tps_bilstm_ctc.yml
 
# rec_r34_vd_tps_bilstm_ctc
python ./tools/infer/predict_rec.py --rec_model_path your_rec_r34_vd_tps_bilstm_ctc_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_401.png --rec_image_shape 3,32,100 --rec_char_type en --rec_yaml_path ./configs/rec/rec_r34_vd_tps_bilstm_ctc.yml

# rec_mv3_tps_bilstm_att
python ./tools/infer/predict_rec.py --rec_model_path your_rec_mv3_tps_bilstm_att_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_461.png --rec_image_shape 3,32,100 --rec_char_type en  --rec_algorithm RARE --rec_yaml_path ./configs/rec/rec_mv3_tps_bilstm_att.yml

# rec_r34_vd_tps_bilstm_att
python ./tools/infer/predict_rec.py --rec_model_path your_rec_r34_vd_tps_bilstm_att_v2.0_infer_path.pth --image_dir ./doc/imgs_words_en/word_461.png  --rec_image_shape 3,32,100 --rec_char_type en  --rec_algorithm RARE --rec_yaml_path ./configs/rec/rec_r34_vd_tps_bilstm_att.yml

# rec_r50_vd_srn
python ./tools/infer/predict_rec.py --rec_model_path your_rec_r50_vd_srn_infer_path.pth --image_dir ./doc/imgs_words_en/word_401.png --rec_image_shape 1,64,256 --rec_char_type en --rec_algorithm SRN --rec_yaml_path ./configs/rec/rec_r50_fpn_srn.yml

# NRTR
python ./tools/infer/predict_rec.py --rec_char_dict_path ./pytorchocr/utils/EN_symbol_dict.txt --rec_algorithm NRTR --rec_model_path your_rec_mtb_nrtr_infer_path.pth --rec_yaml_path ./configs/rec/rec_mtb_nrtr.yml --image_dir ./doc/imgs_words_en/word_10.png --rec_image_shape 1,32,100

# SAR
python ./tools/infer/predict_rec.py --rec_char_dict_path ./pytorchocr/utils/dict90.txt --max_text_length 30 --rec_yaml_path ./configs/rec/rec_r31_sar.yml --rec_algorithm SAR --rec_image_shape 3,48,48,160 --use_space_char false --rec_model_path your_rec_r31_sar_infer_path.pth --image_dir ./doc/imgs_words/en/word_1.png 

# SVTR
# en
python ./tools/infer/predict_rec.py --rec_model_path yout_rec_svtr_tiny_none_ctc_en_infer_path.pth --rec_algorithm SVTR --rec_image_shape 3,64,256 --rec_char_dict_path ./pytorchocr/utils/ic15_dict.txt --rec_yaml_path ./configs/rec/rec_svtr/rec_svtr_tiny_6local_6global_stn_en.yml --image_dir ./doc/imgs_words_en/word_10.png
# ch
python ./tools/infer/predict_rec.py --rec_model_path yout_rec_svtr_tiny_none_ctc_ch_infer_path.pth --rec_algorithm SVTR --rec_image_shape 3,64,256 --rec_char_dict_path ./pytorchocr/utils/ppocr_keys_v1.txt --rec_yaml_path ./configs/rec/rec_svtr/rec_svtr_tiny_6local_6global_stn_ch.yml --image_dir ./doc/imgs_words/ch/word_1.jpg

# ViTSTR
python tools/infer/predict_rec.py --rec_model_path your_rec_vitstr_none_ce_infer_path.pth --rec_algorithm ViTSTR --rec_image_shape 1,224,224  --rec_char_dict_path ./pytorchocr/utils/EN_symbol_dict.txt --rec_yaml_path ./configs/rec/rec_vitstr_none_ce.yml --image_dir ./doc/imgs_words_en/word_10.png

# CAN
python3 ./tools/infer/predict_rec.py --image_dir="./doc/datasets/crohme_demo/hme_00.jpg" --rec_algorithm="CAN" --rec_batch_num=1 --rec_model_path your_rec_d28_can_infer_path.pth --rec_char_dict_path="./pytorchocr/utils/dict/latex_symbol_dict.txt" --rec_yaml_path ./configs/rec/rec_d28_can.yml

参数列表

def init_args():
    def str2bool(v):
        return v.lower() in ("true", "t", "1")

    parser = argparse.ArgumentParser()
    # params for prediction engine
    parser.add_argument("--use_gpu", type=str2bool, default=True)
    parser.add_argument("--gpu_mem", type=int, default=500)
    parser.add_argument("--warmup", type=str2bool, default=False)

    # params for text detector
    parser.add_argument("--image_dir", type=str)
    parser.add_argument("--det_algorithm", type=str, default='DB')
    parser.add_argument("--det_model_path", type=str)
    parser.add_argument("--det_limit_side_len", type=float, default=960)
    parser.add_argument("--det_limit_type", type=str, default='max')

    # DB parmas
    parser.add_argument("--det_db_thresh", type=float, default=0.3)
    parser.add_argument("--det_db_box_thresh", type=float, default=0.6)
    parser.add_argument("--det_db_unclip_ratio", type=float, default=1.5)
    parser.add_argument("--max_batch_size", type=int, default=10)
    parser.add_argument("--use_dilation", type=str2bool, default=False)
    parser.add_argument("--det_db_score_mode", type=str, default="fast")

    # EAST parmas
    parser.add_argument("--det_east_score_thresh", type=float, default=0.8)
    parser.add_argument("--det_east_cover_thresh", type=float, default=0.1)
    parser.add_argument("--det_east_nms_thresh", type=float, default=0.2)

    # SAST parmas
    parser.add_argument("--det_sast_score_thresh", type=float, default=0.5)
    parser.add_argument("--det_sast_nms_thresh", type=float, default=0.2)
    parser.add_argument("--det_sast_polygon", type=str2bool, default=False)

    # PSE parmas
    parser.add_argument("--det_pse_thresh", type=float, default=0)
    parser.add_argument("--det_pse_box_thresh", type=float, default=0.85)
    parser.add_argument("--det_pse_min_area", type=float, default=16)
    parser.add_argument("--det_pse_box_type", type=str, default='box')
    parser.add_argument("--det_pse_scale", type=int, default=1)

    # FCE parmas
    parser.add_argument("--scales", type=list, default=[8, 16, 32])
    parser.add_argument("--alpha", type=float, default=1.0)
    parser.add_argument("--beta", type=float, default=1.0)
    parser.add_argument("--fourier_degree", type=int, default=5)
    parser.add_argument("--det_fce_box_type", type=str, default='poly')

    # params for text recognizer
    parser.add_argument("--rec_algorithm", type=str, default='CRNN')
    parser.add_argument("--rec_model_path", type=str)
    parser.add_argument("--rec_image_inverse", type=str2bool, default=True)
    parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320")
    parser.add_argument("--rec_char_type", type=str, default='ch')
    parser.add_argument("--rec_batch_num", type=int, default=6)
    parser.add_argument("--max_text_length", type=int, default=25)

    parser.add_argument("--use_space_char", type=str2bool, default=True)
    parser.add_argument("--drop_score", type=float, default=0.5)
    parser.add_argument("--limited_max_width", type=int, default=1280)
    parser.add_argument("--limited_min_width", type=int, default=16)

    parser.add_argument(
        "--vis_font_path", type=str,
        default=os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), 'doc/fonts/simfang.ttf'))
    parser.add_argument(
        "--rec_char_dict_path",
        type=str,
        default=os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
                             'pytorchocr/utils/ppocr_keys_v1.txt'))

    # params for text classifier
    parser.add_argument("--use_angle_cls", type=str2bool, default=False)
    parser.add_argument("--cls_model_path", type=str)
    parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192")
    parser.add_argument("--label_list", type=list, default=['0', '180'])
    parser.add_argument("--cls_batch_num", type=int, default=6)
    parser.add_argument("--cls_thresh", type=float, default=0.9)

    parser.add_argument("--enable_mkldnn", type=str2bool, default=False)
    parser.add_argument("--use_pdserving", type=str2bool, default=False)

    # params for e2e
    parser.add_argument("--e2e_algorithm", type=str, default='PGNet')
    parser.add_argument("--e2e_model_path", type=str)
    parser.add_argument("--e2e_limit_side_len", type=float, default=768)
    parser.add_argument("--e2e_limit_type", type=str, default='max')

    # PGNet parmas
    parser.add_argument("--e2e_pgnet_score_thresh", type=float, default=0.5)
    parser.add_argument(
        "--e2e_char_dict_path", type=str,
        default=os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
                             'pytorchocr/utils/ic15_dict.txt'))
    parser.add_argument("--e2e_pgnet_valid_set", type=str, default='totaltext')
    parser.add_argument("--e2e_pgnet_polygon", type=bool, default=True)
    parser.add_argument("--e2e_pgnet_mode", type=str, default='fast')

    # SR parmas
    parser.add_argument("--sr_model_path", type=str)
    parser.add_argument("--sr_image_shape", type=str, default="3, 32, 128")
    parser.add_argument("--sr_batch_num", type=int, default=1)

    # params .yaml
    parser.add_argument("--det_yaml_path", type=str, default=None)
    parser.add_argument("--rec_yaml_path", type=str, default=None)
    parser.add_argument("--cls_yaml_path", type=str, default=None)
    parser.add_argument("--e2e_yaml_path", type=str, default=None)
    parser.add_argument("--sr_yaml_path", type=str, default=None)

    # multi-process
    parser.add_argument("--use_mp", type=str2bool, default=False)
    parser.add_argument("--total_process_num", type=int, default=1)
    parser.add_argument("--process_id", type=int, default=0)

    parser.add_argument("--benchmark", type=str2bool, default=False)
    parser.add_argument("--save_log_path", type=str, default="./log_output/")

    parser.add_argument("--show_log", type=str2bool, default=True)

    return parser

参考