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| | | from Ocr import Paper |
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| | | from sklearn.externals import joblib |
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| | | #p=Paper(filename='testpage300dpi_scan1.png') |
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| | | p=Paper(filename='sizif111.tif') |
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| | | print(p.QRData) |
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| | | print(p.errors) |
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| | | settings = {"sid_mask": "11xx0xxx", "answer_treshold": 0.25} |
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| | | classifier = joblib.load("filename.joblib") |
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| | | |
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| | | print(p.getSkewAngle()) |
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| | | print(p.locateUpMarkers()) |
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| | | print(p.locateRightMarkers()) |
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| | | print(p.answerMatrix) |
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| | | #p = Paper(filename="testpage300dpi_scan1.png") |
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| | | #p=Paper(filename='sizif111.tif', sid_classifier=classifier, settings=settings) |
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| | | p=Paper(filename='processed_scans/20141016095134535_0006.tif', sid_classifier=classifier, settings=settings) |
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| | | |
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| | | # print(p.QRData) |
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| | | # print(p.errors) |
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| | | |
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| | | # print(p.getSkewAngle()) |
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| | | # print(p.locateUpMarkers()) |
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| | | # print(p.locateRightMarkers()) |
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| | | # print(p.answerMatrix) |
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| | | # p.get_enhanced_sid() |
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| | | |
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| | | |
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| | | print(p.get_paper_ocr_data()) |
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