From 5d557801d61beb4970ffc4c62ba81cd0cd76db68 Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Tue, 11 Jun 2019 17:46:17 +0000
Subject: [PATCH] Angle of page rotation can be determined with c wrapper function.

---
 aoiOcr.py |   52 +++++++++++++++++++++++++++++++++++-----------------
 1 files changed, 35 insertions(+), 17 deletions(-)

diff --git a/aoiOcr.py b/aoiOcr.py
index 74c7b15..b096d91 100644
--- a/aoiOcr.py
+++ b/aoiOcr.py
@@ -1,16 +1,20 @@
-from Ocr import Paper
+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)
 
 from glob import glob
 
-settings = {"sid_mask": "64xx0xxx", "answer_treshold": 0.25}
-classifier = joblib.load("filename.joblib")
+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_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="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",
@@ -19,27 +23,41 @@
     "processed_scans/20141021095744144_0005.tif",
     "processed_scans/20141021095744144_0009.tif",
     "processed_scans/20141028095553745_0018.tif",
+    "processed_scans/20151013180545275_0011.tif",
+    "processed_scans/20160408140801098_0004.tif",
+    "processed_scans/20160510075445995_0026.tif",
 ]
-#p=Paper(filename=pa[6], sid_classifier=classifier, settings=settings)
+# p=Paper(filename=pa[9], sid_classifier=classifier, settings=settings)
+#p = Paper(filename="test3011/sizif000.tif", sid_classifier=classifier, settings=settings)
+p = Paper(filename="sizif000-plus1deg.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()
 
 
 print(p.get_paper_ocr_data())
+
 exit(0)
-filelist = glob("processed_scans/*.tif")
+filelist = glob("test3011/*.tif")
+wrong_sid = 0
+total = 0
 for f in sorted(filelist):
     print("processing: {}".format(f))
-    print(
-        f,
-        Paper(
-            filename=f, sid_classifier=classifier, settings=settings
-        ).get_paper_ocr_data(),
-    )
+    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))

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