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jchs_part.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import division
import cv2
import numpy as np
import sys
import os
import xml.etree.ElementTree as etree
import re
import glob
songs = [
# {'dir': '01_Predehra', 'slug': 'CD1_01', 'title': 'Předehra'},
# {'dir': '02_Jak_ze_sna_procitam', 'slug': 'CD1_02', 'title': 'Jak ze sna procitám'},
# {'dir': '03a_Proc_ten_shon', 'slug': 'CD1_03a', 'title': 'Proč ten shon'},
# {'dir': '03b_Divna_mystifikace', 'slug': 'CD1_03b', 'title': 'Divná mystifikace'},
# {'dir': '04_Vse_je_tak_jak_ma_byt', 'slug': 'CD1_04', 'title': 'Vše je tak, jak má být'},
# {'dir': '05_Zemrit_by_mel', 'slug': 'CD1_05', 'title': 'Zemřít by měl'},
# {'dir': '06_Hosanna', 'slug': 'CD1_06', 'title': 'Hosanna'},
# {'dir': '07_Simon_Zelotes_Ubohy_Jeruzalem', 'slug': 'CD1_07', 'title': 'Šimon Zélotes - Ubohý Jeruzalém'},
# {'dir': '08_Pilatuv_sen', 'slug': 'CD1_08', 'title': 'Pilátův sen'},
# {'dir': '09_V_chramu', 'slug': 'CD1_09', 'title': 'V chrámu'},
# {'dir': '10_Vse_je_tak_jak_ma_byt_II_Co_na_tom_je_tak_zleho', 'slug': 'CD1_10', 'title': 'Vše je tak, jak má být II - Co na tom je tak zlého'},
# {'dir': '11_Zavrzen_na_veky_vekuv_Penize_zkropene_krvi', 'slug': 'CD1_11', 'title': 'Zavržen na věky věkův - Peníze zkropené krví'},
# {'dir': '01_posledni_vecere', 'slug': 'CD2_01', 'title': 'Poslední večeře'},
# {'dir': '02_v_zahrade_getsemanske', 'slug': 'CD2_02', 'title': 'V zahradě getsemanské'},
# {'dir': '03_zajeti', 'slug': 'CD2_03', 'title': 'Zajetí'},
# {'dir': '04_petrovo_zapreni', 'slug': 'CD2_04', 'title': 'Petrovo zapření'},
# {'dir': '05_kristus_pred_pilatem', 'slug': 'CD2_05', 'title': 'Kristus před Pilátem'},
# {'dir': '06_song_krale_heroda', 'slug': 'CD2_06', 'title': 'Song krále Heroda'},
# {'dir': '07_vse_psat_od_prvnich_radku', 'slug': 'CD2_07', 'title': 'Vše psát od prvních řádků'},
{'dir': '08_jidasova_smrt', 'slug': 'CD2_08', 'title': 'Jidášova smrt'},
# {'dir': '09_pilatuv_soud', 'slug': 'CD2_09', 'title': 'Pilátův soud'},
# {'dir': '10_superstar', 'slug': 'CD2_10', 'title': 'Superstar'}
]
instruments = [
# {'slug': 'Tbn', 'regex': re.compile('.*(T|\'I\')(rombone|[bh][nu])')},
# {'slug': 'Flt', 'regex': re.compile('(Flute|F[l1LI\]\[\}\{])'), 'check_count': 2},
# {'slug': 'ClrBsnTnr', 'regex': re.compile('.*(Clarinet|C[l1LI\]\[\}\{]|Bassoon|Bsn|8311|Tenor|Sx)')},
# {'slug': 'Tpt', 'regex': re.compile('.*(Trumpet|Tp[tlL]|[B8].* m.)')},
{'slug': 'KbdStr', 'regex': re.compile('.*(Voice|Choir|Keyboard|K[bh]d)'), 'top': -200, 'bottom_end': -100,
'exclude': {'regex': re.compile('(.*(Guitar|G[tlL1]r|\.th|Dr)|^Bass$)'), 'top': -80, 'bottom': +80}}
# {'slug': 'BsnTnr', 'regex': re.compile('.*(Bassoon|Bsn|8311|Tenor|Sx)')},
]
score_x_shift = -30
min_score_x = 100
label_x_offset = -150
first_label_extra_x_offset = -100
label_first_width = 270
label_other_width = 170
# page_height_limit = 2590
score_width = 4250
top_y_offset = -120
bottom_y_offset = +100
white_color = (255, 255, 255)
page_fill_threshold = 200
tex_header = '''
\\documentclass[]{article}
\\usepackage[a4paper,landscape,top=2cm,bottom=1cm,left=0.5cm,right=0.8cm]{geometry}
\\usepackage[utf8]{inputenc}
\\usepackage{graphicx}
\\usepackage{layout}
\\usepackage[maxfloats=50]{morefloats}
\\usepackage{fancyhdr}
\\pagestyle{fancy}
\\chead{%s}
\\renewcommand{\\headrulewidth}{0pt}
\\setlength{\\headsep}{0.5cm}
\\setlength{\\footskip}{0.5cm}
\\begin{document}
'''
tex_footer = '''
\\vfill
\\end{document}
'''
tex_image = '''
\\begin{figure}
\\centering
\\includegraphics[width=1\\linewidth,height=1.05\\textheight,keepaspectratio]{%s}
\\end{figure}
'''
def preprocess(files):
for path in files:
filename, file_extension = os.path.splitext(path)
print('file:', filename, file_extension)
img = cv2.imread(path)
height, width, channels = img.shape
img_t = np.zeros((width, height, channels), img.dtype)
cv2.transpose(img, img_t)
cv2.flip(img_t, 1, img_t)
img_gray = cv2.cvtColor(img_t, cv2.COLOR_BGR2GRAY)
min_sum = sys.maxint
opt_angle = 0
angle = -1.5
while angle < 1.6:
rot_m = cv2.getRotationMatrix2D((width / 2, height / 2), angle, 1)
img_gray_r = cv2.warpAffine(
img_gray, rot_m, (height, width),
borderMode=cv2.BORDER_CONSTANT, borderValue=white_color)
sum = img_gray_r.sum(axis=1).min()
if sum < min_sum:
min_sum = sum
opt_angle = angle
angle += 0.1
print('opt_angle:', opt_angle)
rot_m = cv2.getRotationMatrix2D((width / 2, height / 2), opt_angle, 1)
img_r = cv2.warpAffine(
img_t, rot_m, (height, width),
borderMode=cv2.BORDER_CONSTANT, borderValue=white_color)
img_gray = cv2.cvtColor(img_r, cv2.COLOR_BGR2GRAY)
# score_x = img_gray[0:width, 0:600].sum(axis=0).argmin() + score_x_shift
x_sums = img_gray.sum(axis=0)
sum_threshold = x_sums.mean() - 3 * x_sums.std()
score_x = score_x_shift + min_score_x
for x_sum in x_sums[min_score_x:]:
if x_sum < sum_threshold:
break
score_x += 1
print('score_x:', score_x)
if filename.split('/')[-1] == 'page-000':
label_width = label_first_width
else:
label_width = label_other_width
label_left_x = max(0, score_x - label_width)
cv2.imwrite('%s.png' % filename, img_r)
img_instr = cv2.copyMakeBorder(
img_r[0:width, label_left_x:score_x], 0, 0, label_left_x, 300,
borderType=cv2.BORDER_CONSTANT, value=white_color)
cv2.imwrite('%s-instr.png' % filename, img_instr)
def ocr(files):
for path in files:
filename, file_extension = os.path.splitext(path)
print('file:', filename, file_extension)
os.system('tesseract %s.png %s -l eng hocr' % (filename, filename))
def extract(files, instr):
for path in files:
filename, _ = os.path.splitext(path)
print('file:', filename)
tree = etree.parse('%s-instr.hocr' % filename)
root = tree.getroot()
ns = {'x': 'http://www.w3.org/1999/xhtml'}
left_x = 0
right_x = 0
top_y = 0
bottom_y = 0
excl_top_y = 0
excl_bottom_y = 0
label_x_sum = 0
label_x_cnt = 0
for par in root.findall("./x:body/x:div/x:div/x:p/x:span[@class='ocr_line']", ns):
text = "".join(par.itertext()).strip()
coords = par.attrib['title'].split(';')[0].split(' ')
if re.match(instr['regex'], text):
print(text, coords)
if top_y == 0:
top_y = int(coords[2])
bottom_y = int(coords[4])
label_x_sum += int(coords[3])
label_x_cnt += 1
if 'exclude' in instr and re.match(instr['exclude']['regex'], text):
print(text, coords)
if excl_top_y == 0:
excl_top_y = int(coords[2])
excl_bottom_y = int(coords[4])
if 'check_count' in instr:
if label_x_cnt != instr['check_count']:
raise Exception('Invalid staff count.')
label_x = int(label_x_sum / label_x_cnt)
img = cv2.imread('%s.png' % filename)
height, width, _ = img.shape
if filename.split('/')[-1] == 'page-000':
left_x += first_label_extra_x_offset
right_x += first_label_extra_x_offset
if 'top' in instr:
top_y += instr['top']
else:
top_y += top_y_offset
if 'bottom' in instr:
bottom_y += instr['bottom_y']
elif 'bottom_end' in instr:
bottom_y = height + instr['bottom_end']
print('bottom_end', bottom_y)
else:
bottom_y += bottom_y_offset
left_x += label_x + label_x_offset
right_x += left_x + score_width
left_x = max(0, left_x)
right_x = min(width, right_x)
if 'exclude' in instr:
excl_top_y += instr['exclude']['top']
excl_bottom_y += instr['exclude']['bottom']
img_top = img[top_y:excl_top_y, left_x:right_x]
img_bottom = img[excl_bottom_y:bottom_y, left_x:right_x]
img = np.concatenate((img_top, img_bottom), axis=0)
else:
img = img[top_y:bottom_y, left_x:right_x]
cv2.imwrite('%s-%s.png' % (filename, instr['slug']), img)
def run_tex(song, instr):
files = glob.glob('%s/page-*-%s.png' % (song['dir'], instr['slug']))
files.sort()
f = open('tex/%s_%s.tex' % (song['slug'], instr['slug']), 'w')
f.write(tex_header % song['title'])
for path in files:
f.write(tex_image % ('../%s' % path))
f.write(tex_footer)
f.close()
outname = '%s_%s' % (song['slug'], instr['slug'])
os.system("cd tex; pdflatex %s.tex" % outname)
os.system('mkdir -p %s' % instr['slug'])
os.system('mv tex/%s.pdf %s/' % (outname, instr['slug']))
def export(song, instr):
os.system('rm %s/page-9*-%s.png' % (song['dir'], instr['slug']))
# Run first pdflatex run
run_tex(song, instr)
# Analyse distribution of staffs on pages
f = open('tex/%s_%s.log' % (song['slug'], instr['slug']), 'r')
log = ''.join(map(str.strip, f.readlines()))
pages = re.findall('\[\d+[^\]]*\]', log)
staff_heights = []
for page in pages:
staffs = re.findall('<../([^>]+.png)[^>]*>', page)
heights = []
staff_heights.append(heights)
for staff in staffs:
img = cv2.imread(staff)
heights.append(img.shape[0])
print(staff_heights)
missing_staff_cnt = 0
missing_staff_height = 0
if len(staff_heights) > 1:
mean_page_height = int(sum(map(sum, staff_heights[:-1])) / len(staff_heights[:-1]))
mean_page_staff_cnt = int(sum(map(len, staff_heights[:-1])) / len(staff_heights[:-1]))
last_page_height = sum(staff_heights[-1])
last_page_staff_cnt = len(staff_heights[-1])
if mean_page_height - last_page_height > page_fill_threshold:
missing_staff_cnt = max(1, mean_page_staff_cnt - last_page_staff_cnt)
missing_staff_height = int((mean_page_height - last_page_height) / missing_staff_cnt)
print(missing_staff_cnt, missing_staff_height)
img_empty = np.zeros((missing_staff_height, score_width, 3), np.uint8)
img_empty[:] = white_color
while missing_staff_cnt > 0:
cv2.imwrite('%s/page-9%02d-%s.png' % (song['dir'], missing_staff_cnt, instr['slug']), img_empty)
missing_staff_cnt -= 1
# Run second pdflatex run
run_tex(song, instr)
def unpdf():
for song in songs:
print('song:', song['dir'])
os.system('mkdir %s' % song['dir'])
os.system('pdfimages %s.pdf %s/page' % (song['dir'], song['dir']))
def list_song_files(pattern):
files = []
for song in songs:
files.extend(glob.glob(pattern % song['dir']))
files.sort()
return files
action = sys.argv[1]
if action == 'preprocess':
if len(sys.argv) == 2:
files = list_song_files('%s/page-*.p*m')
else:
files = sys.argv[2:]
preprocess(files)
elif action == 'ocr':
files = []
if len(sys.argv) == 2:
files = list_song_files('%s/page-*-instr.png')
else:
files = sys.argv[2:]
ocr(files)
elif action == 'extract':
for song in songs:
print('song:', song['dir'])
files = glob.glob('%s/page-*.p*m' % song['dir'])
files.sort()
for instr in instruments:
extract(files, instr)
elif action == 'export':
for song in songs:
print('song:', song['dir'])
for instr in instruments:
export(song, instr)
elif action == 'unpdf':
unpdf()
elif action == 'clear':
for song in songs:
for instr in instruments:
os.system('rm %s/page-*-%s.png' % (song['dir'], instr['slug']))