Tring to make better predictions.

Samo Penic

2018-11-28 7621b38ff23a963724adcafe8946acce48e48abe

Tring to make better predictions.

 .idea/sonarIssues.xml

@@ -18,12 +18,32 @@
            <set />
          </value>
        </entry>
        <entry key="$USER_HOME$/.local/share/virtualenvs/aoi-4cpS9I5x/lib/python3.6/site-packages/aoi_ocr/Ocr.py">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$USER_HOME$/PycharmProjects/berki-parse/aoi_gen/BerkiParse.py">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$USER_HOME$/PycharmProjects/berki-parse/aoi_gen/Generators.py">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$USER_HOME$/PycharmProjects/berki-parse/aoi_gen/Problem.py">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$USER_HOME$/PycharmProjects/berki-parse/aoi_gen/Variable.py">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$USER_HOME$/PycharmProjects/berki-parse/aoi_gen/tests/formatter_test.py">
          <value>
            <set />
          </value>
@@ -88,7 +108,22 @@
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/exam/templates/exam/index.html">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/exam/templates/exam/postprocess.html">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/exam/templates/exam/statistics.html">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/exam/urls.py">
          <value>
            <set />
          </value>
@@ -153,6 +188,11 @@
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/studentpages/forms.py">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/studentpages/static/studentpages/ux/basic-widgets-sl.js">
          <value>
            <set />
@@ -163,6 +203,16 @@
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/studentpages/templates/studentpages/complete_data.html">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/studentpages/templates/studentpages/complete_thanks.html">
          <value>
            <set />
          </value>
        </entry>
        <entry key="$PROJECT_DIR$/../../django/sizif-web/aoi/studentpages/templates/studentpages/index.html">
          <value>
            <set />

 aoiOcr.py

@@ -28,7 +28,7 @@
    "processed_scans/20160510075445995_0026.tif",
]
# p=Paper(filename=pa[9], sid_classifier=classifier, settings=settings)
p = Paper(filename="sizif000.tif", sid_classifier=classifier, settings=settings)
p = Paper(filename="sizif-test.tif", sid_classifier=classifier, settings=settings)

# print(p.QRData)
# print(p.errors)

 aoi_ocr/sid_process.py

@@ -75,7 +75,7 @@
        # Get bounding box
        x, y, w, h = cv2.boundingRect(ctr)
        # Getting ROI
        if w < h / 2:
        if w < h / 3:
            sid_no = sid_no + "1"
            continue
        roi = image[y : y + h, x : x + w]
@@ -191,7 +191,7 @@
    cv2.imwrite("/tmp/enSID0.png", image)

    # Remove noise
    image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(3, 3), iterations=3)
    image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(3, 3), iterations=4)

    # Closing. Connect non connected parts
    image = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel(5, 1), iterations=4)
@@ -199,7 +199,7 @@
    # Again noise removal after closing
    #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)
    image = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel(3, 3), iterations=2)

    # Skeletonization
    #image = img_as_ubyte(morphology.skeletonize(image > 128))