EasyOCR
80개 이상의 지원 언어와 Latin, Chinese, Arabic, Devanagari, Cyrillic 등 모든 주요 문자 스크립트를 지원하는 즉시 사용 가능한 OCR입니다.
파일 탐색기
최종 버전 다운로드 (.zip)- ab_char.txt
- abq_char.txt
- ady_char.txt
- af_char.txt
- am_char.txt
- amh_text.txt
- ang_char.txt
- ar_char.txt
- as_char.txt
- ava_char.txt
- az_char.txt
- be_char.txt
- bg_char.txt
- bh_char.txt
- bho_char.txt
- bn_char.txt
- braille_char.txt
- bs_char.txt
- ch_pin_char.txt
- ch_sim_char.txt
- ch_tra_char.txt
- che_char.txt
- cs_char.txt
- cy_char.txt
- da_char.txt
- dar_char.txt
- de_char.txt
- en_char.txt
- es_char.txt
- et_char.txt
- fa_char.txt
- fr_char.txt
- ga_char.txt
- ge_char.txt
- gom_char.txt
- gre_char.txt
- he_char.txt
- hi_char.txt
- hr_char.txt
- hu_char.txt
- id_char.txt
- inh_char.txt
- is_char.txt
- it_char.txt
- ja_char.txt
- kas_char.txt
- kbd_char.txt
- kn.txt
- kn_char.txt
- ko_char.txt
- ku_char.txt
- la_char.txt
- lbe_char.txt
- lez_char.txt
- lt_char.txt
- lv_char.txt
- mah_char.txt
- mai_char.txt
- mi_char.txt
- ml_char.txt
- mn_char.txt
- mr_char.txt
- ms_char.txt
- mt_char.txt
- my_char.txt
- ne_char.txt
- new_char.txt
- nl_char.txt
- no_char.txt
- oc_char.txt
- or_char.txt
- os_char.txt
- pb_char.txt
- pi_char.txt
- pl_char.txt
- ps_char.txt
- pt_char.txt
- ro_char.txt
- rs_cyrillic_char.txt
- rs_latin_char.txt
- ru_char.txt
- sck_char.txt
- sh_char.txt
- si_char.txt
- sk_char.txt
- sl_char.txt
- sq_char.txt
- sv_char.txt
- sw_char.txt
- ta_char.txt
- tab_char.txt
- te.txt
- te_char.txt
- th_char.txt
- ti_char.txt
- tjk_char.txt
- tl_char.txt
- tr_char.txt
- udm_char.txt
- ug_char.txt
- uk_char.txt
- ur_char.txt
- uz_char.txt
- vi_char.txt
- __init__.py
- deform_conv.py
- deform_pool.py
- __init__.py
- deform_conv.py
- deform_pool.py
- deform_conv_cpu.cpp
- deform_conv_cpu_kernel.cpp
- deform_conv_cpu_kernel.h
- deform_conv_cuda.cpp
- deform_conv_cuda_kernel.cu
- deform_pool_cpu.cpp
- deform_pool_cpu_kernel.cpp
- deform_pool_cpu_kernel.h
- deform_pool_cuda.cpp
- deform_pool_cuda_kernel.cu
- __init__.py
- setup.py
- __init__.py
- mobilenetv3.py
- resnet.py
- DBNet_inference.yaml
- __init__.py
- balance_cross_entropy_loss.py
- dice_loss.py
- feature_attention.py
- l1_loss.py
- pss_loss.py
- seg_detector.py
- seg_detector_asf.py
- seg_detector_loss.py
- simple_detection.py
- constructor.py
- detector.py
- model.py
- DBNet.py
- README.md
- ab.txt
- ady.txt
- af.txt
- am.txt
- ar.txt
- az.txt
- be.txt
- bg.txt
- bn.txt
- braille.txt
- bs.txt
- ch-pin-syl.txt
- ch_pin.txt
- cs.txt
- cy.txt
- da.txt
- de.txt
- en.txt
- es.txt
- et.txt
- fa.txt
- fr.txt
- ga.txt
- ge.txt
- gre.txt
- he.txt
- hi.txt
- hr.txt
- hu.txt
- id.txt
- is.txt
- it.txt
- ja.txt
- kas.txt
- kn.txt
- ko.txt
- ku.txt
- la.txt
- lt.txt
- lv.txt
- mi.txt
- ml.txt
- mn.txt
- mr.txt
- ms.txt
- mt.txt
- my.txt
- ne.txt
- nl.txt
- no.txt
- oc.txt
- or.txt
- os.txt
- pb.txt
- pi.txt
- pl.txt
- ps.txt
- pt.txt
- ro.txt
- rs_cyrillic.txt
- rs_latin.txt
- ru.txt
- sh.txt
- si.txt
- sk.txt
- sl.txt
- sq.txt
- sv.txt
- sw.txt
- ta.txt
- te.txt
- th.txt
- ti.txt
- ti2.txt
- tjk.txt
- tl.txt
- tr.txt
- udm.txt
- ug.txt
- uk.txt
- ur.txt
- uz.txt
- vi.txt
- __init__.py
- model.py
- modules.py
- vgg_model.py
- compile_dbnet_dcn.py
- __init__.py
- cli.py
- config.py
- craft.py
- craft_utils.py
- detection.py
- detection_db.py
- easyocr.py
- export.py
- imgproc.py
- recognition.py
- utils.py
- chinese.jpg
- easyocr_framework.jpeg
- english.png
- example.png
- example2.png
- example3.png
- french.jpg
- japanese.jpg
- korean.png
- thai.jpg
- width_ths.png
- .gitignore
- generate-ja.rb
- folder.txt
- en_filtered_config.yaml
- __init__.py
- custom_data_train.yaml
- load_config.py
- syn_train.yaml
- make_charbox.py
- watershed.py
- boxEnlarge.py
- dataset.py
- gaussian.py
- imgaug.py
- imgproc.py
- folder.txt
- folder.txt
- mseloss.py
- eval_det_iou.py
- craft.py
- vgg16_bn.py
- run_cde.sh
- craft_utils.py
- inference_boxes.py
- util.py
- .gitignore
- eval.py
- README.md
- requirements.txt
- train.py
- train_distributed.py
- trainSynth.py
- feature_extraction.py
- prediction.py
- sequence_modeling.py
- transformation.py
- folder.txt
- dataset.py
- model.py
- README.md
- test.py
- train.py
- trainer.ipynb
- utils.py
- EasyOcrUnitTestPackage.pickle
- demo.ipynb
- demo.py
- make_test_solution.py
- README.md
- run_unit_test.py
- unit_test.py
- .gitignore
- custom_model.md
- Dockerfile
- LICENSE
- MANIFEST.in
- README.md
- releasenotes.md
- requirements.txt
- setup.cfg
- setup.py
🚀 설치 가이드
1. 코드 내려받기
git clone https://github.com/JaidedAI/EasyOCR
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd EasyOCR
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Docker
쉬움 추천사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.
docker build -t easyocr .
Dockerfile을 기반으로 실행 가능한 이미지를 빌드합니다.
docker run -p 8080:80 easyocr
빌드된 이미지를 실제 컨테이너로 실행합니다.
터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.
// repository documentation
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