From 82ec6d384adcc4ca543661c8bb2cec38e836e91b Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Sat, 17 Nov 2018 12:42:04 +0000
Subject: [PATCH] Fix in image rotation for 180degrees.
---
aoiOcr.py | 52 +++++++++++++++++++++++++++++++++++++++++++---------
1 files changed, 43 insertions(+), 9 deletions(-)
diff --git a/aoiOcr.py b/aoiOcr.py
index 25b2c47..ddf3b6a 100644
--- a/aoiOcr.py
+++ b/aoiOcr.py
@@ -1,12 +1,46 @@
from Ocr import Paper
+from sklearn.externals import joblib
+
+from glob import glob
+
+settings = {"sid_mask": "64xx0xxx", "answer_treshold": 0.25}
+classifier = joblib.load("filename.joblib")
+
+#p = Paper(filename="testpage300dpi_scan1.png")
+#p=Paper(filename='sizif111.tif', sid_classifier=classifier, settings={"sid_mask": "11xx0xxx", "answer_treshold": 0.25})
+#p=Paper(filename='processed_scans/20141016095134535_0006.tif', sid_classifier=classifier, settings=settings)
+#p = Paper(filename="processed_scans/20151111080408825_0001.tif",sid_classifier=classifier,settings=settings,)
+#p=Paper(filename='processed_scans/20151028145444607_0028.tif', sid_classifier=classifier, settings=settings)
+pa = [
+ "processed_scans/20141016095134535_0006.tif",
+ "processed_scans/20141016095134535_0028.tif",
+ "processed_scans/20141016095134535_0028.tif",
+ "processed_scans/20141016095134535_0037.tif",
+ "processed_scans/20141021095744144_0005.tif",
+ "processed_scans/20141021095744144_0009.tif",
+ "processed_scans/20141028095553745_0018.tif",
+ "processed_scans/20151013180545275_0011.tif"
+]
+p=Paper(filename=pa[7], sid_classifier=classifier, settings=settings)
+
+# print(p.QRData)
+# print(p.errors)
+
+# print(p.getSkewAngle())
+# print(p.locateUpMarkers())
+# print(p.locateRightMarkers())
+# print(p.answerMatrix)
+# p.get_enhanced_sid()
-#p=Paper(filename='testpage300dpi_scan1.png')
-p=Paper(filename='sizif111.tif')
-print(p.QRData)
-print(p.errors)
-
-print(p.getSkewAngle())
-print(p.locateUpMarkers())
-print(p.locateRightMarkers())
-print(p.answerMatrix)
+print(p.get_paper_ocr_data())
+exit(0)
+filelist = glob("processed_scans/*.tif")
+for f in sorted(filelist):
+ print("processing: {}".format(f))
+ print(
+ f,
+ Paper(
+ filename=f, sid_classifier=classifier, settings=settings
+ ).get_paper_ocr_data(),
+ )
--
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