From d5c694ac711ca3b434bf16bd920b90d1a7e758c4 Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Sat, 17 Nov 2018 09:57:31 +0000
Subject: [PATCH] Improving the robustness of all three algorithms.
---
aoiOcr.py | 33 ++++++++++++++++++++++++---------
1 files changed, 24 insertions(+), 9 deletions(-)
diff --git a/aoiOcr.py b/aoiOcr.py
index 0d59684..bb74503 100644
--- a/aoiOcr.py
+++ b/aoiOcr.py
@@ -3,14 +3,24 @@
from glob import glob
-settings = {"sid_mask": "61xx0xxx", "answer_treshold": 0.25}
+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=settings)
+# 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)
+#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",
+]
+p=Paper(filename=pa[6], sid_classifier=classifier, settings=settings)
# print(p.QRData)
# print(p.errors)
@@ -23,8 +33,13 @@
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())
+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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