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https://github.com/qurator-spk/eynollah.git
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#43 empty textlines caused by newer python-opencv, is resolved
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vahid
parent
d1330ffb80
commit
059905c9e4
1 changed files with 68 additions and 68 deletions
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@ -386,8 +386,9 @@ def separate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
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if point_down_narrow >= img_patch.shape[0]:
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point_down_narrow = img_patch.shape[0] - 2
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[jj] + first_nonzero])), True)
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for mj in range(len(xv))]
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distances = np.array(distances)
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@ -448,8 +449,7 @@ def separate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
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pass
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elif len(peaks) == 1:
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[0] + first_nonzero), True)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[0] + first_nonzero])), True)
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for mj in range(len(xv))]
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distances = np.array(distances)
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@ -529,8 +529,8 @@ def separate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
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point_up = peaks_neg[2] + first_nonzero#peaks[jj] + first_nonzero - int(1. / 1.8 * dis_to_next)
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except:
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point_up =peaks[jj] + first_nonzero - int(1. / 1.8 * dis_to_next)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[jj] + first_nonzero])), True)
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for mj in range(len(xv))]
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distances = np.array(distances)
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@ -611,8 +611,8 @@ def separate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
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point_up = peaks[jj] + first_nonzero - int(1. / 1.9 * dis_to_next_up)
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point_down = peaks[jj] + first_nonzero + int(1. / 1.9 * dis_to_next_down)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[jj] + first_nonzero])), True)
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for mj in range(len(xv))]
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distances = np.array(distances)
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@ -788,8 +788,8 @@ def separate_lines_vertical(img_patch, contour_text_interest, thetha):
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if point_down_narrow >= img_patch.shape[0]:
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point_down_narrow = img_patch.shape[0] - 2
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True) for mj in range(len(xv))]
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[jj] + first_nonzero])), True) for mj in range(len(xv))]
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distances = np.array(distances)
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xvinside = xv[distances >= 0]
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@ -870,8 +870,8 @@ def separate_lines_vertical(img_patch, contour_text_interest, thetha):
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if point_down >= img_patch.shape[0]:
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point_down = img_patch.shape[0] - 2
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point_up = peaks[jj] + first_nonzero - int(1.0 / 1.8 * dis_to_next)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True) for mj in range(len(xv))]
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[jj] + first_nonzero])), True) for mj in range(len(xv))]
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distances = np.array(distances)
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xvinside = xv[distances >= 0]
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@ -930,8 +930,8 @@ def separate_lines_vertical(img_patch, contour_text_interest, thetha):
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point_up = peaks[jj] + first_nonzero - int(1.0 / 1.9 * dis_to_next_up)
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point_down = peaks[jj] + first_nonzero + int(1.0 / 1.9 * dis_to_next_down)
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True) for mj in range(len(xv))]
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distances = [cv2.pointPolygonTest(contour_text_interest_copy, tuple(int(x) for x in np.array([xv[mj], peaks[jj] + first_nonzero])), True) for mj in range(len(xv))]
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distances = np.array(distances)
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xvinside = xv[distances >= 0]
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@ -1382,82 +1382,82 @@ def textline_contours_postprocessing(textline_mask, slope, contour_text_interest
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# textline_mask = cv2.erode(textline_mask, kernel, iterations=1)
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# print(textline_mask.shape[0]/float(textline_mask.shape[1]),'miz')
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try:
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(textline_mask)
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# plt.show()
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#try:
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(textline_mask)
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# plt.show()
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# if abs(slope)>1:
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# x_help=30
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# y_help=2
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# else:
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# x_help=2
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# y_help=2
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# if abs(slope)>1:
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# x_help=30
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# y_help=2
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# else:
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# x_help=2
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# y_help=2
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x_help = 30
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y_help = 2
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x_help = 30
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y_help = 2
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textline_mask_help = np.zeros((textline_mask.shape[0] + int(2 * y_help), textline_mask.shape[1] + int(2 * x_help), 3))
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textline_mask_help[y_help : y_help + textline_mask.shape[0], x_help : x_help + textline_mask.shape[1], :] = np.copy(textline_mask[:, :, :])
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textline_mask_help = np.zeros((textline_mask.shape[0] + int(2 * y_help), textline_mask.shape[1] + int(2 * x_help), 3))
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textline_mask_help[y_help : y_help + textline_mask.shape[0], x_help : x_help + textline_mask.shape[1], :] = np.copy(textline_mask[:, :, :])
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dst = rotate_image(textline_mask_help, slope)
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dst = dst[:, :, 0]
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dst[dst != 0] = 1
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dst = rotate_image(textline_mask_help, slope)
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dst = dst[:, :, 0]
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dst[dst != 0] = 1
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(dst)
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# plt.show()
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(dst)
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# plt.show()
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contour_text_copy = contour_text_interest.copy()
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contour_text_copy = contour_text_interest.copy()
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contour_text_copy[:, 0, 0] = contour_text_copy[:, 0, 0] - box_ind[0]
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contour_text_copy[:, 0, 1] = contour_text_copy[:, 0, 1] - box_ind[1]
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contour_text_copy[:, 0, 0] = contour_text_copy[:, 0, 0] - box_ind[0]
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contour_text_copy[:, 0, 1] = contour_text_copy[:, 0, 1] - box_ind[1]
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img_contour = np.zeros((box_ind[3], box_ind[2], 3))
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img_contour = cv2.fillPoly(img_contour, pts=[contour_text_copy], color=(255, 255, 255))
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img_contour = np.zeros((box_ind[3], box_ind[2], 3))
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img_contour = cv2.fillPoly(img_contour, pts=[contour_text_copy], color=(255, 255, 255))
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(img_contour)
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# plt.show()
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(img_contour)
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# plt.show()
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img_contour_help = np.zeros((img_contour.shape[0] + int(2 * y_help), img_contour.shape[1] + int(2 * x_help), 3))
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img_contour_help = np.zeros((img_contour.shape[0] + int(2 * y_help), img_contour.shape[1] + int(2 * x_help), 3))
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img_contour_help[y_help : y_help + img_contour.shape[0], x_help : x_help + img_contour.shape[1], :] = np.copy(img_contour[:, :, :])
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img_contour_help[y_help : y_help + img_contour.shape[0], x_help : x_help + img_contour.shape[1], :] = np.copy(img_contour[:, :, :])
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img_contour_rot = rotate_image(img_contour_help, slope)
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img_contour_rot = rotate_image(img_contour_help, slope)
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# plt.imshow(img_contour_rot_help)
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# plt.show()
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# plt.imshow(img_contour_rot_help)
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# plt.show()
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# plt.imshow(dst_help)
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# plt.show()
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# plt.imshow(dst_help)
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# plt.show()
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(img_contour_rot_help)
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# plt.show()
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# if np.abs(slope)>.5 and textline_mask.shape[0]/float(textline_mask.shape[1])>3:
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# plt.imshow(img_contour_rot_help)
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# plt.show()
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# plt.imshow(dst_help)
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# plt.show()
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# plt.imshow(dst_help)
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# plt.show()
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img_contour_rot = img_contour_rot.astype(np.uint8)
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# dst_help = dst_help.astype(np.uint8)
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imgrayrot = cv2.cvtColor(img_contour_rot, cv2.COLOR_BGR2GRAY)
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_, threshrot = cv2.threshold(imgrayrot, 0, 255, 0)
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contours_text_rot, _ = cv2.findContours(threshrot.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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img_contour_rot = img_contour_rot.astype(np.uint8)
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# dst_help = dst_help.astype(np.uint8)
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imgrayrot = cv2.cvtColor(img_contour_rot, cv2.COLOR_BGR2GRAY)
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_, threshrot = cv2.threshold(imgrayrot, 0, 255, 0)
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contours_text_rot, _ = cv2.findContours(threshrot.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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len_con_text_rot = [len(contours_text_rot[ib]) for ib in range(len(contours_text_rot))]
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ind_big_con = np.argmax(len_con_text_rot)
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len_con_text_rot = [len(contours_text_rot[ib]) for ib in range(len(contours_text_rot))]
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ind_big_con = np.argmax(len_con_text_rot)
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# print('juzaa')
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if abs(slope) > 45:
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# print(add_boxes_coor_into_textlines,'avval')
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_, contours_rotated_clean = separate_lines_vertical_cont(textline_mask, contours_text_rot[ind_big_con], box_ind, slope, add_boxes_coor_into_textlines=add_boxes_coor_into_textlines)
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else:
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_, contours_rotated_clean = separate_lines(dst, contours_text_rot[ind_big_con], slope, x_help, y_help)
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# print('juzaa')
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if abs(slope) > 45:
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# print(add_boxes_coor_into_textlines,'avval')
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_, contours_rotated_clean = separate_lines_vertical_cont(textline_mask, contours_text_rot[ind_big_con], box_ind, slope, add_boxes_coor_into_textlines=add_boxes_coor_into_textlines)
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else:
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_, contours_rotated_clean = separate_lines(dst, contours_text_rot[ind_big_con], slope, x_help, y_help)
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except:
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#except:
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contours_rotated_clean = []
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#contours_rotated_clean = []
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return contours_rotated_clean
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