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	typo: s,rotyate,rotate,g
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					 2 changed files with 3 additions and 3 deletions
				
			
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					@ -6,7 +6,7 @@ import cv2
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from scipy.ndimage import gaussian_filter1d
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					from scipy.ndimage import gaussian_filter1d
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from .utils import crop_image_inside_box
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					from .utils import crop_image_inside_box
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from .utils.rotate import rotyate_image_different
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					from .utils.rotate import rotate_image_different
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from .utils.resize import resize_image
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					from .utils.resize import resize_image
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class EynollahPlotter():
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					class EynollahPlotter():
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					@ -121,7 +121,7 @@ class EynollahPlotter():
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        if self.dir_of_all is not None:
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					        if self.dir_of_all is not None:
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            cv2.imwrite(os.path.join(self.dir_of_all, self.image_filename_stem + "_org.png"), self.image_org)
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					            cv2.imwrite(os.path.join(self.dir_of_all, self.image_filename_stem + "_org.png"), self.image_org)
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        if self.dir_of_deskewed is not None:
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					        if self.dir_of_deskewed is not None:
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            img_rotated = rotyate_image_different(self.image_org, slope_deskew)
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					            img_rotated = rotate_image_different(self.image_org, slope_deskew)
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            cv2.imwrite(os.path.join(self.dir_of_deskewed, self.image_filename_stem + "_deskewed.png"), img_rotated)
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					            cv2.imwrite(os.path.join(self.dir_of_deskewed, self.image_filename_stem + "_deskewed.png"), img_rotated)
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    def save_page_image(self, image_page):
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					    def save_page_image(self, image_page):
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					@ -44,7 +44,7 @@ def rotate_image(img_patch, slope):
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    M = cv2.getRotationMatrix2D(center, slope, 1.0)
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					    M = cv2.getRotationMatrix2D(center, slope, 1.0)
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    return cv2.warpAffine(img_patch, M, (w, h), flags=cv2.INTER_CUBIC, borderMode=cv2.BORDER_REPLICATE)
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					    return cv2.warpAffine(img_patch, M, (w, h), flags=cv2.INTER_CUBIC, borderMode=cv2.BORDER_REPLICATE)
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def rotyate_image_different( img, slope):
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					def rotate_image_different( img, slope):
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    # img = cv2.imread('images/input.jpg')
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					    # img = cv2.imread('images/input.jpg')
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    num_rows, num_cols = img.shape[:2]
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					    num_rows, num_cols = img.shape[:2]
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