def main():
rgb_image_filename = sys.argv[1]
left_template_filename = sys.argv[2]
right_template_filename = sys.argv[3]
image_path = sys.argv[4]
# page = "520"
# rgb_image_filename = "/Users/ahmedre/Desktop/warsh/page%s.jpg" % page
# left_template_filename = "/Users/ahmedre/Desktop/left.jpg"
# right_template_filename = "/Users/ahmedre/Desktop/right.jpg"
# image_path = 'no_markers/page%s.png' % page
img_rgb = cv2.imread(rgb_image_filename)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(left_template_filename, 0)
left = find_ayat(img_gray, template, 0.75)
template = cv2.imread(right_template_filename, 0)
right = find_ayat(img_gray, template, 0.75)
image = Image.open(image_path).convert('RGBA')
output_directory = "no_markers"
if len(sys.argv) > 5:
output_directory = sys.argv[5]
os.makedirs(output_directory, exist_ok=True)
# for debugging, can just hardcode image_path above and coordinates here
# instead of doing the actual ayah detection.
# ayat = [(203.5, 443.5)]
if len(left) > 0 or len(right) > 0:
print("processing %s" % image_path)
remove_markers(
image, left, right,
os.path.join(output_directory, os.path.basename(image_path)))
def main():
rgb_image_filename = sys.argv[1]
template_filename = sys.argv[2]
bw_template_path = sys.argv[3]
image_path = sys.argv[4]
# rgb_image_filename = "/Users/ahmedre/Desktop/warsh/page264.jpg"
# template_filename = "images/templates/warsh/1440_template.png"
# bw_template_path = "bw_warsh_template.jpg"
# image_path = 'images/warsh/page264.png'
img_rgb = cv2.imread(rgb_image_filename)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(template_filename, 0)
ayat = find_ayat(img_gray, template)
if len(ayat) == 0:
print("no matches for %s" % rgb_image_filename)
return
bw_template = Image.open(bw_template_path).convert('RGBA')
template_marker_lengths = marker_lengths(bw_template)
image = Image.open(image_path).convert('RGBA')
output_directory = "no_markers"
if len(sys.argv) > 5:
output_directory = sys.argv[5]
os.makedirs(output_directory, exist_ok=True)
# for debugging, can just hardcode image_path above and coordinates here
# instead of doing the actual ayah detection.
# ayat = [(203.5, 443.5), (894.5, 971.5), (1009.0, 1235.0), (172.0, 1224.5), (497.0, 1500.5), (41.0, 1896.5)]
remove_markers(
template_marker_lengths, image, ayat,
os.path.join(output_directory, os.path.basename(image_path)))
def count_ayat(image_dir, filename, template_file):
img_rgb = cv2.imread(path)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(template_file, 0)
ayat = find_ayat(img_gray, template)
print "found: %d in %s" % (len(ayat), filename)
draw(img_rgb, template, ayat, "out/" + filename)
return ayat
def count_ayat(image_dir, filename, template_file):
img_rgb = cv2.imread(image_dir + filename)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(template_file, 0)
ayat = find_ayat(img_gray, template)
print('found: %d in %s' % (len(ayat), filename))
draw(img_rgb, template, ayat, 'out/' + filename)
return ayat
# find lines
image = Image.open(image_dir + filename).convert('RGBA')
# note: these values will change depending on image type and size
# warsh: 100/35/0, shamerly: 110/87/0, 175/75/1 for qaloon
value = 87
if i == 467:
value = 50
lines = find_lines(image, 110, value, 0)
print('found: %d lines on page %d' % (len(lines), i))
img_rgb = cv2.imread(image_dir + filename)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(sys.argv[2], 0)
ayat = find_ayat(img_gray, template)
print('found: %d ayat on page %d' % (len(ayat), i))
tpl_width, tpl_height = template.shape[::-1]
line = 0
current_line = 0
x_pos_in_line = -1
num_lines = len(lines)
first = True
end_of_sura = False
for ayah_item in ayat:
if (end_of_ayah or not first) and sura_ayat[sura - 1] == ayah:
sura = sura + 1
ayah = 1
# find lines
image = Image.open(image_dir + filename).convert('RGBA')
# note: these values will change depending on image type and size
# warsh: 100/35/0, shamerly: 110/87/0, 175/75/1 for qaloon
value = 87
if i == 467:
value = 50
lines = find_lines(image, 110, value, 0)
print 'found: %d lines on page %d' % (len(lines), i)
img_rgb = cv2.imread(image_dir + filename)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(sys.argv[2], 0)
ayat = find_ayat(img_gray, template)
print 'found: %d ayat on page %d' % (len(ayat), i)
tpl_width, tpl_height = template.shape[::-1]
current_line = 0
x_pos_in_line = -1
num_lines = len(lines)
first = True
for ayah_item in ayat:
if ((end_of_ayah or not first) and hafs_ayat[sura - 1] == ayah):
sura = sura + 1
ayah = 1
lines_to_skip = default_lines_to_skip
if sura == 9:
