from Ocr import Paper
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from sklearn.externals import joblib
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from glob import glob
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settings = {"sid_mask": "61xx0xxx", "answer_treshold": 0.25}
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classifier = joblib.load("filename.joblib")
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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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#p=Paper(filename='processed_scans/20151111080408825_0001.tif', sid_classifier=classifier, settings=settings)
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p=Paper(filename='processed_scans/20151028145444607_0028.tif', sid_classifier=classifier, settings=settings)
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# print(p.QRData)
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# print(p.errors)
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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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print(p.get_paper_ocr_data())
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exit(0)
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filelist = glob("processed_scans/*.tif")
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for f in filelist:
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print(f,Paper(filename=f, sid_classifier=classifier, settings=settings).get_paper_ocr_data())
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