From e2fa6a35a6548a5acfd000af56ea333df8149b27 Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Fri, 16 Nov 2018 21:29:56 +0000
Subject: [PATCH] More debugging cases

---
 aoiOcr.py |   12 ++++++++++--
 1 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/aoiOcr.py b/aoiOcr.py
index 02eef68..0d59684 100644
--- a/aoiOcr.py
+++ b/aoiOcr.py
@@ -1,13 +1,16 @@
 from Ocr import Paper
 from sklearn.externals import joblib
 
+from glob import glob
 
-settings = {"sid_mask": "11xx0xxx", "answer_treshold": 0.25}
+settings = {"sid_mask": "61xx0xxx", "answer_treshold": 0.25}
 classifier = joblib.load("filename.joblib")
 
 #p = Paper(filename="testpage300dpi_scan1.png")
 #p=Paper(filename='sizif111.tif', sid_classifier=classifier, settings=settings)
-p=Paper(filename='processed_scans/20141016095134535_0006.tif', sid_classifier=classifier, settings=settings)
+#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)
 
 # print(p.QRData)
 # print(p.errors)
@@ -20,3 +23,8 @@
 
 
 print(p.get_paper_ocr_data())
+exit(0)
+filelist = glob("processed_scans/*.tif")
+for f in filelist:
+    print(f,Paper(filename=f, sid_classifier=classifier, settings=settings).get_paper_ocr_data())
+

--
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