зеркало из https://github.com/mozilla/iris.git
59 строки
2.1 KiB
JSON
59 строки
2.1 KiB
JSON
{
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"homepage": "https://github.com/UB-Mannheim/tesseract/wiki",
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"license": "Apache-2.0",
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"version": "4.1.0-elag2019",
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"description": "Open Source OCR Engine",
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"architecture": {
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"64bit": {
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"url": "https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w64-setup-v4.1.0-elag2019.exe#/dl.7z",
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"hash": "75b8a8b8d458a01d675f9493a67b22225cc6f71b13c20e8337a155aa0b403510"
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},
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"32bit": {
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"url": "https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w32-setup-v4.1.0-elag2019.exe#/dl.7z",
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"hash": "082cd4b852f512cff544721df109721188667f84c383782d6828e6cba844db4b"
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}
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},
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"bin": [
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"ambiguous_words.exe",
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"classifier_tester.exe",
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"cntraining.exe",
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"combine_lang_model.exe",
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"combine_tessdata.exe",
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"dawg2wordlist.exe",
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"lstmeval.exe",
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"lstmtraining.exe",
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"merge_unicharsets.exe",
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"mftraining.exe",
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"set_unicharset_properties.exe",
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"shapeclustering.exe",
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"tesseract.exe",
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"text2image.exe",
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"unicharset_extractor.exe",
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"wordlist2dawg.exe"
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],
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"env_set": {
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"TESSDATA_PREFIX": "$persist_dir\\tessdata"
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},
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"persist": "tessdata",
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"notes": [
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"Recognition data files can be installed via \"scoop install tesseract-languages\"",
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"or downloaded manually from https://github.com/tesseract-ocr/tessdata_fast"
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],
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"suggest": {
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"tesseract-languages": "tesseract-languages"
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},
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"checkver": {
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"url": "https://digi.bib.uni-mannheim.de/tesseract/?C=M;O=D",
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"regex": "tesseract-ocr-w32-setup-v([\\w.-]+)\\.exe"
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},
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"autoupdate": {
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"architecture": {
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"64bit": {
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"url": "https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w64-setup-v$version.exe#/dl.7z"
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},
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"32bit": {
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"url": "https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w32-setup-v$version.exe#/dl.7z"
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}
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}
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}
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} |