def recognize(pic, dir_train_pics): pic = Image.open(pic) #print 'preprocessor.preprocess' pic_preprocessed = preprocessor.preprocess(pic) block_array = [] #print 'spliter.split' spliter.split(pic_preprocessed, block_array) captcha = "" if len(block_array) >= THRESHOLD_BLOCK_NUMBER: #print 'recognize_block_array' captcha = recognize_block_array(block_array, dir_train_pics) return captcha
def recognize(pic, dir_train_pics): pic = Image.open(pic) print 'preprocessor.preprocess' pic_preprocessed = preprocessor.preprocess(pic) block_array = [] print 'spliter.split' spliter.split(pic_preprocessed, block_array) captcha = "" if len(block_array) == 4: print 'recognize_block_array' captcha = recognize_block_array(block_array, dir_train_pics) return captcha
def upload_file():
if request.method == 'POST':
f = request.files['file']
f.save("../audio" + secure_filename(f.filename))
fileName = spliter.split(f.filename[:-4])
global STEMS
STEMS = request.form.get('stems')
return redirect(url_for('down', title=fileName))
def getLink(link=None):
if request.method == 'POST':
temp = 'succ'
yt = YouTube(request.form['link'])
yt.streams.filter(only_audio=True).first().download()
fileName = spliter.split(yt.title)
global Thumb
Thumb = yt.thumbnail_url
else:
temp = None
return redirect(url_for('down', title=fileName))
def getLink(link=None):
if request.method == 'POST':
temp = 'succ'
yt = YouTube(request.form['link'])
yt.streams.filter(only_audio=True).first().download("../audio")
global THUMB
THUMB = yt.thumbnail_url
global STEMS
STEMS = request.form.get('stems')
fileName = spliter.split(yt.title, STEMS)
else:
temp = None
return redirect(url_for('down', title=fileName))
def tokenize(pouet, print_function=False):
return mark_indentation(inner_group(space_group(_tokenize(group(split(pouet)), print_function))))
pic_step3 = 3
for pic_ptr in xrange(deal_number):
pic_ptr_str = str('%04d' % pic_ptr)
image_path = dir_path_base + pic_ptr_str + '.jpg'
pic = Image.open(image_path)
pic_preprocessed = preprocessor.preprocess(pic)
output_path = dir_path_step + str(pic_step1) + '/' + pic_ptr_str + '_' + str(pic_step1) + '.jpg'
print output_path
pic_preprocessed.save(output_path)
block_array = []
spliter.split(pic_preprocessed, block_array)
for i in xrange(len(block_array)):
output_path = dir_path_step + str(pic_step2) + '/' + pic_ptr_str + '_' + str(pic_step2) + '_' + str(i) + '.jpg'
print output_path
block_array[i].save(output_path)
for pic_ptr in xrange(deal_number):
pic_ptr_str = str('%04d' % pic_ptr)
image_path = dir_path_base + pic_ptr_str + '.jpg'
captcha = recognizer.recognize(image_path, dir_path_train)
if captcha != "":
pic = Image.open(image_path)
output_path = dir_path_step + str(pic_step3) + '/' + pic_ptr_str + '_' + str(pic_step3) + '_' + captcha + '.jpg'
pic.save(output_path)
def upload_file():
if request.method == 'POST':
f = request.files['file']
f.save(secure_filename(f.filename))
fileName = spliter.split(f.filename)
return redirect(url_for('down', title=fileName))