def crop_line2png(img_tages_dict, data_root, save_root):
"""to train the CRNN, we need line annotation,
1. crop line and save to png image,
2. write the png filename and its label to txt file(label.txt)
3. create the map.txt according the label.txt"""
file_list = os.listdir(data_root)
# import random
random.shuffle(file_list)
# file_list = ['1480325136111_2gga323vslbuvays.png']
print 'processing images number :%d' % len(file_list)
s = set()
counter = 0
with open(os.path.join(save_root, 'label.txt'), 'w') as label_file:
for i,img_name in enumerate(file_list):
# if counter > 100: break
if img_name not in img_tages_dict: continue
im = cv2.imread(os.path.join(data_root, img_name))
if im is None: continue
if np.min(im.shape[:2]) < 400 : continue
line_parse = LineParser(img_tages_dict[img_name], im.shape)
lines, lines_label = line_parse.gen_line()
if Config.DEBUG:
char_boxes, char_labels = line_parse.get_all_boxes(line_parse.tags, decode_utf8=Config.decode_utf8)
line_parse.display_boxes(im, char_boxes, char_labels)
line_parse.display_boxes(im, lines, lines_label)
if not os.path.exists(os.path.join(save_root, 'images')):
os.makedirs(os.path.join(save_root, 'images'))
for j,line in enumerate(lines):
new_image_name = '{0}_{1}.{2}'.format(img_name.rsplit('.', 1)[0], j, img_name.rsplit('.', 1)[1])
s = s | set(lines_label[j])
label_file.write('%s %s\n' %(new_image_name, lines_label[j].encode('utf-8')))
line_image = im[int(line[1]): int(line[3]), int(line[0]): int(line[2])]
cv2.imwrite(os.path.join(save_root, 'images', new_image_name), line_image)
#just for debug
for k in xrange(5):
height = int(line[3]) - int(line[1])
shift_x = random.uniform(0, 0.4)
shift_y = random.uniform(0, 0.4)
line_image2 = im[max(0, int(line[1] - shift_y*height)):
min(int(line[3] + (0.4-shift_y)*height), im.shape[0]),
max(0, int(line[0] - shift_x*height)):
min(int(line[2] + (0.4-shift_x)*height), im.shape[1])]
new_image_name = '{0}_{1}_{2}.{3}'.format(img_name.rsplit('.', 1)[0], j, k, img_name.rsplit('.', 1)[1])
cv2.imwrite(os.path.join(save_root, 'images', new_image_name), line_image2)
counter += 1
if i % 1000 == 0: print 'proceeded %d' % i
print 'gen line images : %d' %counter
with open(os.path.join(save_root, 'map.txt'), 'w') as map_file:
for (ind, label) in enumerate(s):
map_file.write('%d %s\n' % (ind, label.encode('utf-8')))
def save_line_annos(img_tages_dict, data_root, save_root):
"""to re-check the effect of original single char annos to lines,
1. get lines
2. write to csv file
format:
[[
1477568421447_wzrceuthja20s1gm.jpeg,1:3:567:36:#;6:46:49:77:#;4:82:567:112:#;4:126:384:155:#;3:165:280:193:#;298:171:323:194:#;343:168:370:193:#;394:166:571:195:#;6:208:481:238:#
IMAGE_NAME,line1_X0:line1_y0:line1_x1:line1_y1;line1_label:line2_X0:line2_y0:line2_x1:line2_y1:line2_label;
there are no seprate symbol in label, such as [, : ;], onlye Chinese char, English char, number, *
]]
"""
file_list = os.listdir(data_root)
# import random
# random.shuffle(file_list)
# file_list = ['1480325230423_zqjcdg86z23vhpyk.jpeg']
print 'processing images number :%d' % len(file_list)
s = set()
counter = 0
counter_image = 0
with open(os.path.join(save_root, 'line_annos.txt'), 'w') as line_file:
for i,img_name in enumerate(file_list):
if img_name not in img_tages_dict: continue
im = cv2.imread(os.path.join(data_root, img_name))
if im is None: continue
# if np.min(im.shape[:2]) < 400 : continue
line_parse = LineParser(img_tages_dict[img_name], im.shape)
lines, lines_label = line_parse.gen_line()
if Config.DEBUG:
char_boxes, char_labels = line_parse.get_all_boxes(line_parse.tags, decode_utf8=Config.decode_utf8)
line_parse.display_boxes(im, char_boxes, char_labels)
line_parse.display_boxes(im, lines, lines_label)
if len(lines) > 0:
line_file.write('%s,'%img_name)
for j,line in enumerate(lines):
if j == len(lines) - 1:
line_file.write('%d:%d:%d:%d:%s;\n'%(int(line[0]),int(line[1]),int(line[2]),int(line[3]),
lines_label[j].encode('utf-8')))
else:
line_file.write('%d:%d:%d:%d:%s;' % (int(line[0]), int(line[1]), int(line[2]), int(line[3]),
lines_label[j].encode('utf-8')))
counter += 1
counter_image += 1
if i % 1000 == 0: print 'proceeded %d' % i
print 'image source number %d, contained image %d, gen line images : %d' \
%(len(file_list), counter_image,counter)
