def route(): #在注册前需要访问route.php，以防直接访问注册页面地址失效
print("——————————访问主界面——————————")
res = requests.get(url=init_link,headers=header,proxies={"https": "{}://127.0.0.1:{}".format(init.proxy_rules,init.tor_sockets_port),"http":"{}://127.0.0.1:{}".format(init.proxy_rules,init.tor_sockets_port)})
temp = 0
while res.status_code!=200:
print("[-] 加载注册页面失败，正在重新加载***")
temp +=1
if temp == 5:
print("[-] 网络也许有问题，请重新进行配置")
break
res = requests.get(url=final_link,headers=header,proxies={"https": "{}://127.0.0.1:{}".format(init.proxy_rules,init.tor_sockets_port),"http":"{}://127.0.0.1:{}".format(init.proxy_rules,init.tor_sockets_port)})
soup = BeautifulSoup(res.content,'html.parser')
img = soup.findAll('img',attrs={'title':'只能刷新页面换验证码, 为安全因素去除了js代码, 无法点此刷新'})
for i in img:
pass
#print(i.get('src'))
picture_link = i.get('src') #验证码地址
picture_local_link = save_picture(picture_link)
text1 = ocr.main(picture_local_link)=='' ? '':ocr.main(picture_local_link)
text2 = Identify(picture_local_link)=='' '':Identify(picture_local_link)
route_header = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'Accept-Encoding': 'gzip, deflate',
'Accept-Language': 'zh-CN,zh;q=0.9,zh-TW;q=0.8,en;q=0.7',
'Cache-Control': 'max-age=0',
'Connection': 'keep-alive',
'Content-Length': '65',
'Content-Type': 'application/x-www-form-urlencoded',
'Cookie': 'PHPSESSID=v6uplodl8gp57qst14idjjvo6f; random=1042',
'Host': 'deepmix2z2ayzi46.onion',
'Origin': 'http://deepmix2z2ayzi46.onion',
'Referer': 'http://deepmix2z2ayzi46.onion/index.php',
'Upgrade-Insecure-Requests': '1',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36'}
print(text1,text2)
def upload_file():
start_time = time.time()
if 'image' not in request.files:
finish_time = time.time() - start_time
json_content = {
'message': "image is empty",
'time_elapsed': str(round(finish_time, 3))
}
else:
imagefile = request.files['image'].read()
npimg = np.frombuffer(imagefile, np.uint8)
image = cv2.imdecode(npimg, cv2.IMREAD_COLOR)
# Note: Uncomment for YOLO feature
# image = yolo_detect.main(image)
nik, nama, tempat_lahir, tgl_lahir = ocr.main(image)
finish_time = time.time() - start_time
json_content = {
'nik': str(nik),
'nama': str(nama),
'tempat_lahir': str(tempat_lahir),
'tgl_lahir': str(tgl_lahir),
'time_elapsed': str(round(finish_time, 3))
}
python2json = json.dumps(json_content)
return app.response_class(python2json, content_type='application/json')
def main():
if request.method == 'POST':
file = request.files['file']
if file:
path = os.path.join(tempfile.gettempdir(), file.filename)
file.save(path)
return Response(ocr.main(path), mimetype='text/plain')
return '''
import getframe import ocr video = '2' # getframe.main(video) ocr.main(video)
def main():
method = sys.argv[1]
input = sys.argv[2]
id = sys.argv[3]
home = os.path.expanduser('~')+'\\.IF5181\\'
dir = home+id+'\\'
if not os.path.isdir(dir):
if os.path.isdir(home):
shutil.rmtree(home, ignore_errors=True)
if not os.path.isdir(home):
os.mkdir(home)
os.mkdir(dir)
os.chdir('py')
if method == 'histogram':
img = gambar.read(input)
hist = gambar.get_histogram(img)
json_save({
'r': list(gambar.get_histogram(img[:, :, 0])),
'g': list(gambar.get_histogram(img[:, :, 1])),
'b': list(gambar.get_histogram(img[:, :, 2])),
}, dir+'histogram.json')
elif method == 'equalize':
img = gambar.read(input)
gray = gambar.to_gray(img)
hist_gray = gambar.get_histogram(gray)
result, hist_result = gambar.equalize(gray, hist_gray)
gambar.save(gray, dir+'gray.jpg')
json_save(list(hist_gray), dir+'histogram_gray.json')
gambar.save(result, dir+'equalized.jpg')
json_save(list(hist_result), dir+'histogram_equalized.json')
elif method == 'otsu':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
bw = gambar.to_bw(gray)
gambar.save(bw, dir+'binary.jpg')
elif method == 'derajat0':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
average = konvolusi.derajat0(gray, 'average')
gambar.save(average, dir+'derajat0-average.jpg')
homogen = konvolusi.derajat0(gray, 'homogen')
gambar.save(homogen, dir+'derajat0-homogen.jpg')
difference = konvolusi.derajat0(gray, 'difference')
gambar.save(difference, dir+'derajat0-difference.jpg')
elif method == 'derajat1':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
sobel = konvolusi.derajat1(gray, 'sobel')
gambar.save(sobel, dir+'derajat1-sobel.jpg')
prewitt = konvolusi.derajat1(gray, 'prewitt')
gambar.save(prewitt, dir+'derajat1-prewitt.jpg')
elif method == 'derajat2':
img = gambar.read(input)
gray = gambar.to_gray(img)
gambar.save(gray, dir+'gray.jpg')
kirsch = konvolusi.derajat2(gray, 'kirsch')
gambar.save(kirsch, dir+'derajat2-kirsch.jpg')
prewitt = konvolusi.derajat2(gray, 'prewitt')
gambar.save(prewitt, dir+'derajat2-prewitt.jpg')
elif method == 'gauss':
img = gambar.read(input)
gambar.save(konvolusi.gaussian(img), dir+'gauss.jpg')
elif method == 'chaincode':
img = gambar.read(input)
gray = gambar.to_gray(img)
bw = gambar.to_bw(gray)
gambar.save(bw, dir+'binary.jpg')
kopong = gambar.koponging(bw)
gambar.save(kopong, dir+'kopong.jpg')
code = chaincode.get_chaincode(kopong)
belok = chaincode.get_kodebelok(code)
json_save(code, dir+'chaincode.json')
json_save(belok, dir+'kodebelok.json')
elif method == 'skeleton':
img = gambar.read(input)
gray = gambar.to_gray(img)
bw = gambar.to_bw(gray)
gambar.save(bw, dir+'binary.jpg')
tulang = zhangsuen.penulangan(bw)
gambar.save(tulang, dir+'tulang.jpg')
ujung, simpangan = zhangsuen.get_identity(tulang)
json_save({
'ujung': [[int(y), int(x)] for y, x in ujung],
'simpangan': [[int(y), int(x)] for y, x in simpangan],
}, dir+'tulang-identity.json')
code = zhangsuen.get_chaincode(tulang)
belok = chaincode.get_kodebelok(code)
json_save(code, dir+'tulang-chaincode.json')
json_save(belok, dir+'tulang-kodebelok.json')
elif method == 'ocr':
result = ocr.main(input)
json_save({
'result': result
}, dir+'ocr-result.json')
elif method == 'face-warna':
img = gambar.read(input)
masker = wajah.get_masker(img)
maskered = wajah.draw_masker(img, masker)
gambar.save(maskered, dir+'face-masker.jpg')
wajahs = wajah.get_wajahs(masker)
kotaked = wajah.draw_kotak(img, wajahs)
gambar.save(kotaked, dir+'face-kotak.jpg')
elif method == 'face-bentuk':
img = gambar.read(input)
wajah.limatitik(img)
wajah.titikobjek(img)
elif method == 'face-recognition':
facer.main(input)
def main(pdf_path, result_dir):
ocr.main(pdf_path, result_dir + '/raw')
df = parsing.parse_directory(result_dir + '/raw')
df.to_csv(result_dir + '/result.csv')