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      |   10 +++++++++-
 sid_process.py |    4 +---
 2 files changed, 10 insertions(+), 4 deletions(-)

diff --git a/aoiOcr.py b/aoiOcr.py
index 41b45f0..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": "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())
+
diff --git a/sid_process.py b/sid_process.py
index 14beb68..4674c0e 100644
--- a/sid_process.py
+++ b/sid_process.py
@@ -1,8 +1,6 @@
 import cv2
 import numpy as np
 from skimage import morphology, img_as_ubyte
-from sklearn import svm
-from sklearn.externals import joblib
 
 
 """
@@ -90,7 +88,7 @@
         move_left = 0
     # find biggest block of pixels
 
-    image1 = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 25), iterations=3)
+    image1 = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 25), iterations=4)
     cv2.imwrite("sidblock1.png", image1)
     im2, ctrs, hier = cv2.findContours(
         image1.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE

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