You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
170 lines
9.1 KiB
Python
170 lines
9.1 KiB
Python
import matplotlib.pyplot as plt
|
|
import matplotlib.patches as mpatches
|
|
import numpy as np
|
|
import os.path
|
|
import cv2
|
|
from scipy.ndimage import gaussian_filter1d
|
|
|
|
from .utils import crop_image_inside_box
|
|
from .utils.rotate import rotyate_image_different
|
|
from .utils.resize import resize_image
|
|
|
|
class EynollahPlotter():
|
|
"""
|
|
Class collecting all the plotting and image writing methods
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
*,
|
|
dir_of_all,
|
|
dir_of_deskewed,
|
|
dir_of_layout,
|
|
dir_of_cropped_images,
|
|
image_filename,
|
|
image_filename_stem,
|
|
image_org=None,
|
|
scale_x=1,
|
|
scale_y=1,
|
|
):
|
|
self.dir_of_all = dir_of_all
|
|
self.dir_of_layout = dir_of_layout
|
|
self.dir_of_cropped_images = dir_of_cropped_images
|
|
self.dir_of_deskewed = dir_of_deskewed
|
|
self.image_filename = image_filename
|
|
self.image_filename_stem = image_filename_stem
|
|
# XXX TODO hacky these cannot be set at init time
|
|
self.image_org = image_org
|
|
self.scale_x = scale_x
|
|
self.scale_y = scale_y
|
|
|
|
def save_plot_of_layout_main(self, text_regions_p, image_page):
|
|
if self.dir_of_layout is not None:
|
|
values = np.unique(text_regions_p[:, :])
|
|
# pixels=['Background' , 'Main text' , 'Heading' , 'Marginalia' ,'Drop capitals' , 'Images' , 'Seperators' , 'Tables', 'Graphics']
|
|
pixels=['Background' , 'Main text' , 'Image' , 'Separator','Marginalia']
|
|
values_indexes = [0, 1, 2, 3, 4]
|
|
plt.figure(figsize=(40, 40))
|
|
plt.rcParams["font.size"] = "40"
|
|
im = plt.imshow(text_regions_p[:, :])
|
|
colors = [im.cmap(im.norm(value)) for value in values]
|
|
patches = [mpatches.Patch(color=colors[np.where(values == i)[0][0]], label="{l}".format(l=pixels[int(np.where(values_indexes == i)[0][0])])) for i in values]
|
|
plt.legend(handles=patches, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, fontsize=40)
|
|
plt.savefig(os.path.join(self.dir_of_layout, self.image_filename_stem + "_layout_main.png"))
|
|
|
|
|
|
def save_plot_of_layout_main_all(self, text_regions_p, image_page):
|
|
if self.dir_of_all is not None:
|
|
values = np.unique(text_regions_p[:, :])
|
|
# pixels=['Background' , 'Main text' , 'Heading' , 'Marginalia' ,'Drop capitals' , 'Images' , 'Seperators' , 'Tables', 'Graphics']
|
|
pixels=['Background' , 'Main text' , 'Image' , 'Separator','Marginalia']
|
|
values_indexes = [0, 1, 2, 3, 4]
|
|
plt.figure(figsize=(80, 40))
|
|
plt.rcParams["font.size"] = "40"
|
|
plt.subplot(1, 2, 1)
|
|
plt.imshow(image_page)
|
|
plt.subplot(1, 2, 2)
|
|
im = plt.imshow(text_regions_p[:, :])
|
|
colors = [im.cmap(im.norm(value)) for value in values]
|
|
patches = [mpatches.Patch(color=colors[np.where(values == i)[0][0]], label="{l}".format(l=pixels[int(np.where(values_indexes == i)[0][0])])) for i in values]
|
|
plt.legend(handles=patches, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, fontsize=60)
|
|
plt.savefig(os.path.join(self.dir_of_all, self.image_filename_stem + "_layout_main_and_page.png"))
|
|
|
|
def save_plot_of_layout(self, text_regions_p, image_page):
|
|
if self.dir_of_layout is not None:
|
|
values = np.unique(text_regions_p[:, :])
|
|
# pixels=['Background' , 'Main text' , 'Heading' , 'Marginalia' ,'Drop capitals' , 'Images' , 'Seperators' , 'Tables', 'Graphics']
|
|
pixels = ["Background", "Main text", "Header", "Marginalia", "Drop capital", "Image", "Separator"]
|
|
values_indexes = [0, 1, 2, 8, 4, 5, 6]
|
|
plt.figure(figsize=(40, 40))
|
|
plt.rcParams["font.size"] = "40"
|
|
im = plt.imshow(text_regions_p[:, :])
|
|
colors = [im.cmap(im.norm(value)) for value in values]
|
|
patches = [mpatches.Patch(color=colors[np.where(values == i)[0][0]], label="{l}".format(l=pixels[int(np.where(values_indexes == i)[0][0])])) for i in values]
|
|
plt.legend(handles=patches, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, fontsize=40)
|
|
plt.savefig(os.path.join(self.dir_of_layout, self.image_filename_stem + "_layout.png"))
|
|
|
|
def save_plot_of_layout_all(self, text_regions_p, image_page):
|
|
if self.dir_of_all is not None:
|
|
values = np.unique(text_regions_p[:, :])
|
|
# pixels=['Background' , 'Main text' , 'Heading' , 'Marginalia' ,'Drop capitals' , 'Images' , 'Seperators' , 'Tables', 'Graphics']
|
|
pixels = ["Background", "Main text", "Header", "Marginalia", "Drop capital", "Image", "Separator"]
|
|
values_indexes = [0, 1, 2, 8, 4, 5, 6]
|
|
plt.figure(figsize=(80, 40))
|
|
plt.rcParams["font.size"] = "40"
|
|
plt.subplot(1, 2, 1)
|
|
plt.imshow(image_page)
|
|
plt.subplot(1, 2, 2)
|
|
im = plt.imshow(text_regions_p[:, :])
|
|
colors = [im.cmap(im.norm(value)) for value in values]
|
|
patches = [mpatches.Patch(color=colors[np.where(values == i)[0][0]], label="{l}".format(l=pixels[int(np.where(values_indexes == i)[0][0])])) for i in values]
|
|
plt.legend(handles=patches, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, fontsize=60)
|
|
plt.savefig(os.path.join(self.dir_of_all, self.image_filename_stem + "_layout_and_page.png"))
|
|
|
|
def save_plot_of_textlines(self, textline_mask_tot_ea, image_page):
|
|
if self.dir_of_all is not None:
|
|
values = np.unique(textline_mask_tot_ea[:, :])
|
|
pixels = ["Background", "Textlines"]
|
|
values_indexes = [0, 1]
|
|
plt.figure(figsize=(80, 40))
|
|
plt.rcParams["font.size"] = "40"
|
|
plt.subplot(1, 2, 1)
|
|
plt.imshow(image_page)
|
|
plt.subplot(1, 2, 2)
|
|
im = plt.imshow(textline_mask_tot_ea[:, :])
|
|
colors = [im.cmap(im.norm(value)) for value in values]
|
|
patches = [mpatches.Patch(color=colors[np.where(values == i)[0][0]], label="{l}".format(l=pixels[int(np.where(values_indexes == i)[0][0])])) for i in values]
|
|
plt.legend(handles=patches, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, fontsize=60)
|
|
plt.savefig(os.path.join(self.dir_of_all, self.image_filename_stem + "_textline_and_page.png"))
|
|
|
|
def save_deskewed_image(self, slope_deskew):
|
|
if self.dir_of_all is not None:
|
|
cv2.imwrite(os.path.join(self.dir_of_all, self.image_filename_stem + "_org.png"), self.image_org)
|
|
if self.dir_of_deskewed is not None:
|
|
img_rotated = rotyate_image_different(self.image_org, slope_deskew)
|
|
cv2.imwrite(os.path.join(self.dir_of_deskewed, self.image_filename_stem + "_deskewed.png"), img_rotated)
|
|
|
|
def save_page_image(self, image_page):
|
|
if self.dir_of_all is not None:
|
|
cv2.imwrite(os.path.join(self.dir_of_all, self.image_filename_stem + "_page.png"), image_page)
|
|
|
|
def save_plot_of_textline_density(self, img_patch_org):
|
|
if self.dir_of_all is not None:
|
|
plt.figure(figsize=(80,40))
|
|
plt.rcParams['font.size']='50'
|
|
plt.subplot(1,2,1)
|
|
plt.imshow(img_patch_org)
|
|
plt.subplot(1,2,2)
|
|
plt.plot(gaussian_filter1d(img_patch_org.sum(axis=1), 3),np.array(range(len(gaussian_filter1d(img_patch_org.sum(axis=1), 3)))),linewidth=8)
|
|
plt.xlabel('Density of textline prediction in direction of X axis',fontsize=60)
|
|
plt.ylabel('Height',fontsize=60)
|
|
plt.yticks([0,len(gaussian_filter1d(img_patch_org.sum(axis=1), 3))])
|
|
plt.gca().invert_yaxis()
|
|
plt.savefig(os.path.join(self.dir_of_all, self.image_filename_stem+'_density_of_textline.png'))
|
|
|
|
def save_plot_of_rotation_angle(self, angels, var_res):
|
|
if self.dir_of_all is not None:
|
|
plt.figure(figsize=(60,30))
|
|
plt.rcParams['font.size']='50'
|
|
plt.plot(angels,np.array(var_res),'-o',markersize=25,linewidth=4)
|
|
plt.xlabel('angle',fontsize=50)
|
|
plt.ylabel('variance of sum of rotated textline in direction of x axis',fontsize=50)
|
|
plt.plot(angels[np.argmax(var_res)],var_res[np.argmax(np.array(var_res))] ,'*',markersize=50,label='Angle of deskewing=' +str("{:.2f}".format(angels[np.argmax(var_res)]))+r'$\degree$')
|
|
plt.legend(loc='best')
|
|
plt.savefig(os.path.join(self.dir_of_all, self.image_filename_stem+'_rotation_angle.png'))
|
|
|
|
def write_images_into_directory(self, img_contoures, image_page):
|
|
if self.dir_of_cropped_images is not None:
|
|
index = 0
|
|
for cont_ind in img_contoures:
|
|
x, y, w, h = cv2.boundingRect(cont_ind)
|
|
box = [x, y, w, h]
|
|
croped_page, page_coord = crop_image_inside_box(box, image_page)
|
|
|
|
croped_page = resize_image(croped_page, int(croped_page.shape[0] / self.scale_y), int(croped_page.shape[1] / self.scale_x))
|
|
|
|
path = os.path.join(self.dir_of_cropped_images, self.image_filename_stem + "_" + str(index) + ".jpg")
|
|
cv2.imwrite(path, croped_page)
|
|
index += 1
|
|
|