From 5460bf601a854c842342a740df0f6d36ad785bbc Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Wed, 21 Nov 2018 21:12:48 +0000
Subject: [PATCH] Some extra editing
---
aoiOcr.py | 47 +++++++++++++++++++++++++----------------------
1 files changed, 25 insertions(+), 22 deletions(-)
diff --git a/aoiOcr.py b/aoiOcr.py
index eff067f..2986f9a 100644
--- a/aoiOcr.py
+++ b/aoiOcr.py
@@ -1,19 +1,20 @@
from aoi_ocr.Ocr import Paper
from sklearn.externals import joblib
import pkg_resources
-path = '/filename.joblib' # always use slash
-filepath = pkg_resources.resource_filename('aoi_ocr', path)
+
+path = "/filename.joblib" # always use slash
+filepath = pkg_resources.resource_filename("aoi_ocr", path)
from glob import glob
settings = {"sid_mask": "11x0xxxx", "answer_threshold": 0.25}
classifier = joblib.load(filepath)
-#p = Paper(filename="testpage300dpi_scan1.png")
-#p=Paper(filename='sizif111.tif', sid_classifier=classifier, settings={"sid_mask": "11xx0xxx", "answer_threshold": 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)
+# p = Paper(filename="testpage300dpi_scan1.png")
+# p=Paper(filename='sizif111.tif', sid_classifier=classifier, settings={"sid_mask": "11xx0xxx", "answer_threshold": 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",
@@ -24,16 +25,16 @@
"processed_scans/20141028095553745_0018.tif",
"processed_scans/20151013180545275_0011.tif",
"processed_scans/20160408140801098_0004.tif",
- "processed_scans/20160510075445995_0026.tif"
+ "processed_scans/20160510075445995_0026.tif",
]
-#p=Paper(filename=pa[9], sid_classifier=classifier, settings=settings)
-p=Paper(filename='test3.tif', sid_classifier=classifier, settings=settings)
+# p=Paper(filename=pa[9], sid_classifier=classifier, settings=settings)
+p = Paper(filename="test3.tif", sid_classifier=classifier, settings=settings)
# print(p.QRData)
# print(p.errors)
# print(p.getSkewAngle())
-# print(p.locateUpMarkers())
+# print(p.locateUpMarkers())%%
# print(p.locateRightMarkers())
# print(p.answerMatrix)
# p.get_enhanced_sid()
@@ -43,17 +44,19 @@
exit(0)
filelist = glob("processed_scans/*.tif")
-wrong_sid=0;
-total=0
+wrong_sid = 0
+total = 0
for f in sorted(filelist):
print("processing: {}".format(f))
- p=Paper(filename=f, sid_classifier=classifier, settings=settings).get_paper_ocr_data()
- print(f,p)
- if(p['page_no']==0):
- total+=1
- if(len(p['errors'])!=0):
- wrong_sid+=1
- if total%10 == 0:
- print("Total:{}, wrong SID: {}".format(total,wrong_sid))
+ p = Paper(
+ filename=f, sid_classifier=classifier, settings=settings
+ ).get_paper_ocr_data()
+ print(f, p)
+ if p["page_no"] == 0:
+ total += 1
+ if len(p["errors"]) != 0:
+ wrong_sid += 1
+ if total % 10 == 0:
+ print("Total:{}, wrong SID: {}".format(total, wrong_sid))
-print("Total:{}, wrong SID: {}".format(total,wrong_sid))
+print("Total:{}, wrong SID: {}".format(total, wrong_sid))
--
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