Fix in image rotation for 180degrees.

Samo Penic

2018-11-17 82ec6d384adcc4ca543661c8bb2cec38e836e91b

Fix in image rotation for 180degrees.

 Ocr.py

@@ -62,17 +62,20 @@
        xpos = d[0].rect.left
        ypos = d[0].rect.top
        # check if image is rotated wrongly
        if xpos > self.imgHeight / 2.0 and ypost > self.imgWidth / 2.0:
        if xpos > self.imgHeight / 2.0 and ypos > self.imgWidth / 2.0:
            self.rotateAngle(180)

    def rotateAngle(self, angle=0):
        #rot_mat = cv2.getRotationMatrix2D(
        #    (self.imgHeight / 2, self.imgWidth / 2), angle, 1.0
        #)
        rot_mat = cv2.getRotationMatrix2D(
            (self.imgHeight / 2, self.imgWidth / 2), angle, 1.0
            (self.imgWidth/2, self.imgHeight/2), angle, 1.0
        )
        result = cv2.warpAffine(
            self.img,
            rot_mat,
            (self.imgHeight, self.imgWidth),
            (self.imgWidth, self.imgHeight),
            flags=cv2.INTER_CUBIC,
            borderMode=cv2.BORDER_CONSTANT,
            borderValue=(255, 255, 255),

 aoiOcr.py

@@ -7,7 +7,7 @@
classifier = joblib.load("filename.joblib")

#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='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)
@@ -19,8 +19,9 @@
    "processed_scans/20141021095744144_0005.tif",
    "processed_scans/20141021095744144_0009.tif",
    "processed_scans/20141028095553745_0018.tif",
    "processed_scans/20151013180545275_0011.tif"
]
#p=Paper(filename=pa[6], sid_classifier=classifier, settings=settings)
p=Paper(filename=pa[7], sid_classifier=classifier, settings=settings)

# print(p.QRData)
# print(p.errors)