Marmelator/cv-analysis-service
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deleted not needed function

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llocarnini 2022-02-25 08:59:19 +01:00
parent 5b46367175
commit dcab29becb
1 changed files with 0 additions and 50 deletions
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vidocp/table_parsing.py
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@ -5,7 +5,6 @@ from operator import attrgetter
import cv2
import numpy as np
from pdf2image import pdf2image
from scipy import ndimage
from vidocp.utils.display import show_mpl
from vidocp.utils.draw import draw_rectangles
@ -25,53 +24,6 @@ def add_external_contours(image, img):
return image
# def rotate_line_components(img_bin_h, img_bin_v):
# def get_avg_angle(img_bin):
# edges = cv2.Canny(img_bin, 50, 150, apertureSize=3)
# lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)
# angles_deg = []
#
# for line in lines:
# line = line[0]
# rho, theta = line
# angles_deg.append(180 / np.pi * theta)
#
# avg_ang_deg = sum(angles_deg) / len(angles_deg)
# return avg_ang_deg
#
# avg_ang_h = get_avg_angle(img_bin_h)
# avg_ang_v = get_avg_angle(img_bin_v)
# print(avg_ang_h,avg_ang_v)
#
# if avg_ang_h > avg_ang_v: # leftrotated scan
# rot_ang_h = 270 + avg_ang_h
# rot_ang_v = avg_ang_v
# elif avg_ang_h < avg_ang_v: # rightrotated scan
# rot_ang_h = 90 - avg_ang_h
# rot_ang_v = avg_ang_v
# print(rot_ang_h, rot_ang_v)
# img_bin_hr = ndimage.rotate(img_bin_h, rot_ang_h, reshape=False)
# img_bin_vr = ndimage.rotate(img_bin_v, rot_ang_v, reshape=False)
# #show_mpl(img_bin_hr)
#
#
# # print(average_angle_in_deg, "angle before angle correction")
# # # average_angle_in_deg = 90 - average_angle_in_deg
# # # print(average_angle_in_deg)
# # if average_angle_in_deg == 0.0 or average_angle_in_deg == 90.0:
# # print("angle is 0 or 90")
# # return img_bin
# # elif average_angle_in_deg > 0: #linksrtoation im originalbild
# # print("leftrot angle is not 0 or 90")
# # average_angle_in_deg = 360 - average_angle_in_deg
# # else:
# # print("rightrot", average_angle_in_deg)
# # print(average_angle_in_deg, "angle for Rotationsmatrix")
# # img_bin_rotated = ndimage.rotate(img_bin, average_angle_in_deg, reshape=False)
# # show_mpl(img_bin_rotated)
#
# return img_bin_hr, img_bin_vr
def isolate_vertical_and_horizontal_components(img_bin, bounding_rects):
line_min_width = 48
@ -82,8 +34,6 @@ def isolate_vertical_and_horizontal_components(img_bin, bounding_rects):
img_bin_v = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_v)
show_mpl(img_bin_h | img_bin_v)
# img_bin_h, img_bin_v = rotate_line_components(img_bin_h,img_bin_v)
kernel_h = np.ones((1, 30), np.uint8)
kernel_v = np.ones((30, 1), np.uint8)
img_bin_h = cv2.dilate(img_bin_h, kernel_h, iterations=2)