文件列表:

mya.traineddata (25291614, 2020-04-16)
textline_segment (0, 2020-04-16)
textline_segment\__pycache__ (0, 2020-04-16)
textline_segment\__pycache__\img_utils.cpython-37.pyc (2533, 2020-04-16)
textline_segment\__pycache__\line_segment.cpython-37.pyc (3606, 2020-04-16)
textline_segment\__pycache__\ocr.cpython-37.pyc (758, 2020-04-16)
textline_segment\img_utils.py (2574, 2020-04-16)
textline_segment\line_segment.py (4638, 2020-04-16)
textline_segment\main.py (3119, 2020-04-16)
textline_segment\ocr.py (769, 2020-04-16)
textline_segment\sample (0, 2020-04-16)
textline_segment\sample\buddhavan_0014.png (112615, 2020-04-16)
textline_segment\sample\grammar_nsy.tif (406566, 2020-04-16)
textline_segment\sample\tawzin-010.tif (3987810, 2020-04-16)
textline_segment\sample\thusi_abidan.jpg (387411, 2020-04-16)

# Tesseract Myanmar Myanmar script tesseract OCR out of the box traineddata - ( ) ( ) - training - training text zawgyi encoded error rate ocr google vision ocr error rate scan version text version tesseract ocr myanmar script trainneddata layer replacing fine tune error rate accuracy tesseract OCR text-line finding ( ) tesseract text line segmentation fail opencv + python text line segment script ( line spacing ) ( warp ) opencv-python pytesseract package noise eval data set evaluate noise error rate | | font | char error rate | word error rate | |----|-------------------------|------------|-----------| | 1 | Myanmar_PaOh | 0.42941127 | 4.3377578 | | 2 | Myanmar_Ethnic_Sans | 0.46718541 | 4.4345238 | | 3 | Myanmar_Yein | 0.6053413 | 5.8825121 | | 4 | Myanmar_Sans_Pro | 0.63756975 | 5.4966313 | | 5 | Myanmar_UI | 0.63978621 | 5.8351371 | | 6 | Pyidaungsu | 0.68607731 | 5.***56023 | | 7 | MUA_Office | 0.70245574 | 6.7455202 | | 8 | Myanmar_Tagu | 0.70260465 | 7.8238946 | | 9 | Myanmar_Sabae | 0.72382359 | 4.8816138 | | 10 | Noto_Sans_Myanmar | 0.73380574 | 5.7155067 | | 11 | Myanmar_MUA | 0.74944535 | 6.5346529 | | 12 | Pyidaungsu_Bold | 0.76580684 | 7.2995682 | | 13 | Myanmar_Pangram | 0.81070258 | 6.2678314 | | 14 | Myanmar_Grand | 0.81442107 | 6.0077483 | | 15 | Myanmar_Squarehand | 0.82573218 | 7.8014958 | | 16 | Myanmar_Sagar | 0.83168089 | 6.2852262 | | 17 | Padauk_Bold | 0.87910899 | 8.6717926 | | 18 | Padauk | 0.88295635 | 7.7363192 | | 19 | Noto_Sans_Myanmar_UI | 0.90406301 | 6.977467 | | 20 | Myanmar_Sanpya | 0.90629666 | 6.755***71 | | 21 | KhunPaOh | 0.93467255 | 10.175707 | | 22 | Hopong | 0.***37311 | 7.7665043 | | 23 | ThanLwin | 0.***857813 | 7.5042972 | | 24 | Myanmar_Text | 0.99***8591 | 5.7332251 | | 25 | Ours-Unicode | 1.053145 | 7.3451244 | | 26 | Myanmar_Pauklay | 1.0548857 | 7.8954101 | | 27 | Myanmar_Ekaya | 1.0671492 | 7.4526902 | | 28 | Cherry_Unicode | 1.0777003 | 7.1956848 | | 29 | Hsi_Hseng | 1.1190725 | 10.013299 | | 30 | Myanmar_Square | 1.1897668 | 9.5039683 | | 31 | Myanmar_Gantgaw | 1.2558542 | 7.70543*** | | 32 | Myanmar_Chatu | 1.3166145 | 10.894742 | | 33 | Myanmar_Phiksel_Smooth | 1.3338799 | 12.17939 | | 34 | Myanmar_Taungthu | 1.3414034 | 10.334584 | | 35 | Myanmar_Katkuu | 1.4077546 | 10.765435 | | 36 | Myanmar_BoKaow | 1.4745422 | 10.716612 | | 37 | Myanmar_Waitzar | 1.4890937 | 12.193301 | | 38 | Myanmar_Phetsot | 1.5279923 | 12.255201 | | 39 | Myanmar_four | 1.7663877 | 12.963214 | | 40 | Myanmar_Nayone | 1.9427612 | 13.551888 | | 41 | Noto_Sans_Myanmar_Bold | 1.9637489 | 13.091575 | | 42 | tawzin-018 | 2.0036169 | 5.4761 | | 43 | alankar | 2.1429148 | 20.204365 | | 44 | Yunghkio | 2.157214 | 9.1917768 | | 45 | Myanmar_Chatu_Light | 2.1715123 | 13.758966 | | 46 | Noto_Serif_Myanmar | 2.2559152 | 13.5206*** | | 47 | monotype_eval_1 | 2.4217351 | 16.954887 | | 48 | Myanmar_Sketch | 2.5663688 | 12.084607 | | 49 | monotype_eval_2 | 2.57996 | 19.210526 | | 50 | Myanmar_Square_Light | 2.76287 | 16.257971 | | 51 | Myanmar_Njaun | 2.7668908 | 13.5***779 | | 52 | Myanmar_Tagaung | 2.9754883 | 19.844419 | | 53 | Yangon | 3.4***2327 | 45.052338 | | 54 | buddhavan | 3.8319597 | 27.555556 | | 55 | YoeYar-One | 3.8710353 | 27.79239 | | 56 | Myanmar_Text_Bold | 4.0489174 | 10.442834 | | 57 | Myanmar_Taunggyi | 4.1705694 | 28.81169 | | 58 | Myanmar_Khway | 4.6355567 | 24.030112 | | 69 | salin_eval | 4.***1***42 | 26.211735 | | 60 | maeu_eval | 5.920616 | 26.83***27 | | 61 | Myanmar_Handwriting | 18.287787 | 46.761013 |

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