From c9e02129953e3df0d7d36c06608412ae15b46145 Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Fri, 23 Nov 2018 09:52:02 +0000
Subject: [PATCH] Fixes in sid locator for downstairs scanner. (part 1)
---
aoiOcr.py | 2 +-
aoi_ocr/sid_process.py | 15 ++++++++-------
.idea/sonarIssues.xml | 15 +++++++++++++++
3 files changed, 24 insertions(+), 8 deletions(-)
diff --git a/.idea/sonarIssues.xml b/.idea/sonarIssues.xml
index 937f57f..bd3a024 100644
--- a/.idea/sonarIssues.xml
+++ b/.idea/sonarIssues.xml
@@ -33,7 +33,17 @@
<set />
</value>
</entry>
+ <entry key="$USER_HOME$/PycharmProjects/berki-parse/testcases/dvovod31.txt">
+ <value>
+ <set />
+ </value>
+ </entry>
<entry key="$USER_HOME$/PycharmProjects/berki-parse/testcases/silaCurka1.txt">
+ <value>
+ <set />
+ </value>
+ </entry>
+ <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/Dockerfile">
<value>
<set />
</value>
@@ -58,6 +68,11 @@
<set />
</value>
</entry>
+ <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/exam/forms.py">
+ <value>
+ <set />
+ </value>
+ </entry>
<entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/exam/models.py">
<value>
<set />
diff --git a/aoiOcr.py b/aoiOcr.py
index 2986f9a..8949d79 100644
--- a/aoiOcr.py
+++ b/aoiOcr.py
@@ -28,7 +28,7 @@
"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="sizif.tif", sid_classifier=classifier, settings=settings)
# print(p.QRData)
# print(p.errors)
diff --git a/aoi_ocr/sid_process.py b/aoi_ocr/sid_process.py
index dac85e4..a466e09 100644
--- a/aoi_ocr/sid_process.py
+++ b/aoi_ocr/sid_process.py
@@ -17,9 +17,9 @@
def find_biggest_blob(image, original_image, sid_mask):
if sid_mask[0] == "1":
- move_left = 35
+ move_left = 45
elif sid_mask[0] == "x":
- move_left = 40
+ move_left = 50
else:
move_left = 0
# Remove noise
@@ -27,7 +27,7 @@
original_image, cv2.MORPH_OPEN, kernel(2, 2), iterations=3
)
# find biggest block of pixels
- image1 = cv2.morphologyEx(image2, cv2.MORPH_DILATE, kernel(5, 25), iterations=4)
+ image1 = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 25), iterations=3)
image1 = img_as_ubyte(image1 > 50)
cv2.imwrite("/tmp/sidblock1.png", image1)
im2, ctrs, hier = cv2.findContours(
@@ -37,7 +37,7 @@
ctrs, key=lambda ctr: cv2.contourArea(ctr)
) # get bigges contour
x, y, w, h = cv2.boundingRect(sorted_ctrs[-1])
- image = image[y : y + h, x + 25 - move_left : x + w - 40] # +25,-25
+ image = image[y : y + h, x + 25 - move_left : x + w - 30] # +25,-25
return image
@@ -191,23 +191,24 @@
cv2.imwrite("/tmp/enSID0.png", image)
# Remove noise
- # image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(2, 2), iterations=3)
+ image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(3, 3), iterations=3)
# Closing. Connect non connected parts
image = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel(5, 1), iterations=4)
# Again noise removal after closing
- # image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(8, 8), iterations=1)
+ #image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(8, 8), iterations=1)
# don't do too much noise removal.
image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(3, 3), iterations=1)
# Skeletonization
+ #image = img_as_ubyte(morphology.skeletonize(image > 128))
image = img_as_ubyte(morphology.thin(image > 128))
cv2.imwrite("/tmp/enSID1.png", image)
# Stub removal (might not be necessary if thinning instead of skeletonize is used above
# Making lines stronger
- image = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 5), iterations=1)
+ image = cv2.morphologyEx(image, cv2.MORPH_DILATE, kernel(5, 2), iterations=1)
image = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel(10, 10))
# Thining again
--
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