IBM_AI/vi_server/image_detect.py

#!/usr/bin/env python
# -*- coding=utf-8 -*-
import os
import numpy as np
import base64
import cv2
import json
import logging
import logging.config
import importlib
import time
import sys
import traceback
from os import path
import uuid

reload(sys)
sys.setdefaultencoding('utf8')

cdir =os.path.dirname(__file__)
# logging.basicConfig(filename=os.path.join(cdir, 'AIServer.log'), 
#     filemode='a',format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', 
#     level=logging.DEBUG)

if sys.platform.find('linux') >= 0:
    logging.basicConfig( format='%(asctime)s [%(levelname)s] - %(message)s', level=logging.INFO)
else:
    with open(os.path.join(cdir, 'log.config'), 'rt') as f:
        lcnf = json.load(f)
    logging.config.dictConfig(lcnf)

vi_lib_dir = os.getenv('VI_LIB')
vi_opton_dir = os.getenv('VI_OPTON')
opton_pred_dir = os.path.join(vi_opton_dir, 'opton_pred_v2')
sys.path.append(vi_lib_dir)
sys.path.append(vi_opton_dir)
sys.path.append(opton_pred_dir)

logging.debug('vi_lib_dir: ' + vi_lib_dir)
logging.debug('vi_opton_dir: ' + vi_opton_dir)
logging.debug('opton_pred_dir: ' + opton_pred_dir)
logging.debug('sys.path: ' + str(sys.path))

idir = os.path.join(cdir, 'web', 'images')
if not os.path.exists(idir):
    os.makedirs(idir)

hdir = 'http://127.0.0.1:7999/images/'

from opton_core.const import *
from opton_core.font_util import get_font_scale_and_thick
from opton_core.read_image_scale import read_scale
import opton_core.translate_zzsb as translate_zzsb
import opton_core.translate_bzpj as translate_bzpj
from opton_pred_v2.config import get_task_models
from opton_pred_v2.pred import pred_zzsb_image
from opton_pred_v2.pred import pred_bzpj_image


class NumpyEncoder(json.JSONEncoder):
    """ Special json encoder for numpy types """
    def default(self, obj):
        if isinstance(obj, (np.int_, np.intc, np.intp, np.int8,
            np.int16, np.int32, np.int64, np.uint8,
            np.uint16, np.uint32, np.uint64)):
            return int(obj)
        elif isinstance(obj, (np.float_, np.float16, np.float32,
            np.float64)):
            return float(obj)
        elif isinstance(obj,(np.ndarray,)): 
            return obj.tolist()
        return json.JSONEncoder.default(self, obj)

def get_image_scale(img_base64):
    im_str = base64.b64decode(img_base64)
    im_inp = np.fromstring(im_str, dtype=np.uint8)
    im_inp = cv2.imdecode(im_inp, 1)
    zoom_key, um_per_pix, _ = read_scale(im_inp)
    try:
        return parseResult(True, {"zoom_key":zoom_key,"um_per_pix":round(um_per_pix,4)})
    except Exception as e:
        logging.error(traceback.format_exc())
        return parseResult(False, {"msg":"Failed to get the scale, please check the image"})

def parseResult(success, raw_msg):
    smsg = ""

    try:
        json_msg = {"success":success, "content": raw_msg}
        logging.debug(json_msg)
        smsg = json.dumps(json_msg, ensure_ascii=False, cls=NumpyEncoder)
    except Exception as e:
        logging.error(e)
        json_msg = {"success":False, "content": "Invalid for the result."}
        smsg = json.dumps(json_msg, ensure_ascii=False)
    return smsg.decode("utf-8")

def check_json_format(raw_msg):
    try:
        logging.debug(raw_msg.encode("utf-8"))
        json_msg = json.loads(raw_msg.encode("utf-8"))
        return True, json_msg
    except ValueError:
        try:
            json_msg = json.loads(raw_msg)
            return True, json_msg
        except ValueError:
            return False, {}

class ImageDetect:
    def __init__(self):
        logging.debug('ImageDetect class is initialised.')
        self.sfunc = ''
        self.scatagory = -1
        self.sstatus = -1
        self.smaginifiation = -1
        self.sitems = -1
        self.task = None

    def init(self, args):
        logging.debug('init function is called:'+args)

        args_ok, jargs = check_json_format(args)
        if (args_ok == False):
            logging.error("Invalid input parameter:"+args)
            return parseResult(False, {"msg":"Invalid input parameter"})

        try:
            sfunc = jargs['func']
            self.sfunc = sfunc

            if sfunc == 'zzsb':
                scatagory = jargs['catagory']
                sstatus = jargs['status']
                smaginifiation = jargs['magnification']

                logging.debug('zzsb init: '+scatagory + ":" + sstatus + ":" + smaginifiation)
                self.scatagory = int(scatagory)
                self.sstatus = int(sstatus)
                self.smaginifiation = int(smaginifiation)

            elif sfunc == 'bzpj':
                scatagory = jargs['catagory']
                sitems = jargs['items']
                logging.debug('bzpj init: '+scatagory + ":" + sitems)

                self.scatagory = int(scatagory)
                self.sitems = int(sitems)

                jargs.pop('catagory')
                jargs.pop('items')
                jargs.pop('func')

            else :
                logging.error('unsupport function: '+sfunc)
                return parseResult(False, {"msg":"unsupport function"})

        except:
            logging.error(traceback.format_exc())
            return parseResult(False, {"msg":"Missing parameters"})

        self.times = 0
        return parseResult(True, {"msg":"Call init method success."})

    def get_vp(self, im_inp, args):
        h, w = im_inp.shape[:2]
        vp = {}
        vp['type'] = 'R'
        vp['x'] = 0
        vp['y'] = 0
        vp['w'] = w
        vp['h'] = h

        # vp params
        if args.has_key('viewport'):
            vp = args['viewport']

        return vp

    def overlay_im_out_on_im_inp(self, im_out, im_inp, args):
        if im_out is None:
            return

        h, w = im_inp.shape[:2]
        vp = self.get_vp(im_inp, args)
        x1 = vp['x']
        y1 = vp['y']
        x2 = vp['x'] + vp['w']
        y2 = vp['y'] + vp['h']

        color = (0,0,255)
        font = cv2.FONT_HERSHEY_SIMPLEX
        scale, thick = get_font_scale_and_thick(im_inp)

        # blur
        im_inp = cv2.blur(im_inp, (30,30))

        if vp['type'] == 'R':
            im_inp[y1:y2, x1:x2, :] = im_out

            # draw vp border
            # if vp['w'] < w or vp['h'] < h:
            #     cv2.rectangle(im_inp[y1:y2, x1:x2, :], (x1,y1), (x2,y2), color, thick)

        else:
            im_out_fg_mask = np.zeros((vp['h'], vp['w']), np.uint8)
            cx = int(vp['w']/2)
            cy = int(vp['h']/2)
            r = int(min(vp['w'], vp['h']) / 2)
            cv2.circle(im_out_fg_mask, (cx,cy), r, (255,255,255), -1)
            im_out_fg = cv2.bitwise_and(im_out, im_out, mask=im_out_fg_mask)
            
            im_vp = im_inp[y1:y2, x1:x2, :]
            im_out_bg_mask = cv2.bitwise_not(im_out_fg_mask)
            im_out_bg = cv2.bitwise_and(im_vp, im_vp, mask=im_out_bg_mask)

            im_inp[y1:y2, x1:x2, :] = cv2.add(im_out_bg, im_out_fg)

            # draw vp border
            # cv2.circle(im_inp[y1:y2, x1:x2, :], (cx,cy), r, color, thick)

        return im_inp

    def draw_text(self, im_inp, text, x, y, color, shade=False):
        scale, thick = get_font_scale_and_thick(im_inp)
        # print("scale=",scale)
        # scale=2
        if scale>3 :
            scale=3
        font = cv2.FONT_HERSHEY_SIMPLEX
        offset = thick
        if shade:
            # cv2.putText(im_inp, text, (x+offset, y+offset), font, scale, (255,255,255), thick)
            cv2.putText(im_inp, text, (x, y), font, scale, (255,255,255), thick*4)
        cv2.putText(im_inp, text, (x, y), font, scale, color, thick)

    def draw_bbox(self, im_inp, bbox, color, shade=False):
        (x1,y1,x2,y2) = bbox
        scale, thick = get_font_scale_and_thick(im_inp)
        font = cv2.FONT_HERSHEY_SIMPLEX
        offset = thick
        if shade:
            # cv2.rectangle(im_inp, (x1+offset,y1x1+offset), (x2x1+offset,y2x1+offset), (255,255,255), thick)
            cv2.rectangle(im_inp, (x1,y1), (x2,y2), (255,255,255), thick*4)
        cv2.rectangle(im_inp, (x1,y1), (x2,y2), color, thick)

    def do_pred_by_data(self, img_base64, args={}):
        logging.debug("call start to do_pred_by_data---->")

        im_str = base64.b64decode(img_base64)
        im_inp = np.fromstring(im_str, dtype=np.uint8)
        im_inp = cv2.imdecode(im_inp, 1)
        h, w = im_inp.shape[:2]
        vp = self.get_vp(im_inp, args)

        title = ''
        details = {}
        im_out = None
        zoom_key = ''
        um_per_pix = -1
        image_http = ''
        image_path = ''
        task_name = None
        cls_name = None

        font = cv2.FONT_HERSHEY_SIMPLEX
        scale, thick = get_font_scale_and_thick(im_inp)

        is_success = True

        try:

            if self.sfunc == 'zzsb':
                logging.debug("pred_zzsb_image ---->")
                title, details, im_out, (self.task, task_name, cls_name, zoom_key, um_per_pix) = pred_zzsb_image(im_inp, args)

                # translate names
                title = translate_zzsb.translate_title(title)
                details = translate_zzsb.translate_details(details)
                logging.debug("pred_zzsb_image title: " + title)

                # overlay im_out on im_inp
                im_inp = self.overlay_im_out_on_im_inp(im_out, im_inp, args)

                if args.has_key('draw_color_zz') and len(args['draw_color_zz']) > 0:
                    # draw percent text
                    offset = scale * 40
                    x = 20
                    y = 20
                    # details: {'class_name': (percent, sample_bbox, dets, color), ...}
                    for k, v in details.items():
                        color = v[3]
                        if color is None:
                            # indicate the class_name is not in draw_color_zz list
                            continue
                        y = y + offset
                        if v[0] == 1.0:
                            text = '{}: 100%'.format(k)
                        else:
                            text = '{}: {:.2%}'.format(k, v[0])
                        self.draw_text(im_inp, text, x, y, color, True)

                else:
                    # draw sample bboxes on im_inp
                    color = (0,0,255)
                    for key, value in details.items():
                        # draw sample bbox
                        (x1,y1,x2,y2) = value[1]
                        bg=value[3]
                        if  bg ==None:
                            margin = 20
                            x1 = max(vp['x']+x1-margin, 0)
                            y1 = max(vp['y']+y1-margin, 0)
                            x2 = min(vp['x']+x2+margin, w)
                            y2 = min(vp['y']+y2+margin, h)
                            self.draw_bbox(im_inp, (x1,y1,x2,y2), color, True)

                            # draw bbox text
                            margin = 10
                            x = x1
                            y = y1 - margin
                            if y < margin:
                                y = y2 + margin*3
                            self.draw_text(im_inp, key, x, y, color, True)
                        else:
                           
                            self.draw_text(im_inp, key,vp['x']+30,vp['y']+100, color, True)

            elif self.sfunc == 'bzpj':
                logging.debug("pred_bzpj_image ---->")
                title, details, im_out, (self.task, task_name, cls_name, zoom_key, um_per_pix) = pred_bzpj_image(im_inp.copy(), self.scatagory, self.sitems, args)
                
                title = str(title)
                logging.debug("pred_bzpj_image title: " + title)

                # overlay im_out on im_inp
                im_inp = self.overlay_im_out_on_im_inp(im_out, im_inp, args)

                # details: {'results': [(text, color),], ...}
                if details is not None and details.has_key('results'):
                    offset = scale * 40
                   
                    x = 20
                    y = 40*scale
                    for (text, color) in details['results']:    
                        size=cv2.getTextSize(text,cv2.FONT_HERSHEY_COMPLEX,3,2)
                        print("size=",size)
                        self.draw_text(im_inp, text, x, y, color, True)
                        x +=size[0][0]+20

            title_base64 = base64.b64encode(title)
            image_name = str(time.strftime('%Y%m%d_%H%M%S_' , time.localtime())) + str(uuid.uuid1())[:8] + ".jpg"
            image_path = os.path.join(idir, image_name).decode("utf-8")
            cv2.imencode(image_path, im_inp)[1].tofile(image_path)
            image_http = (hdir+image_name).decode("utf-8")

        except:
            logging.error(traceback.format_exc())
            is_success = False

        detect = {
            "title": title, 
            "details": details, 
            "detect_type": self.sfunc,
            "viewport": vp,
            "additional": {
                "zoom_key":zoom_key, 
                "um_per_pix":um_per_pix, 
                "task_name":task_name, 
                "cls_name":cls_name, 
                "pred_image":image_http, 
                "image_path":image_path
            }
        }

        jresult = parseResult(is_success, detect)
        logging.debug(jresult)

        logging.debug("call end of do_pred_by_data<----")
        return jresult

    '''
    NOT USED by now
    '''
    def do_pred_by_file(self, param):
        logging.debug("call start to do_pred_by_file---->")
        logging.debug(param.encode("utf-8"))

        im_inp = self.task.load_image_file(param.encode("utf-8"))
        title, details = self.task.pred_img_data(im_inp)
        zoom_key, um_per_pix = self.task.read_image_scale(im_inp)

        title = translate_zzsb.translate_title(title)
        details = translate_zzsb.translate_details(details)

        detect = {"title":title, "details":details, "additional":{"zoom_key":zoom_key, "um_per_pix":um_per_pix}}
        jresult = parseResult(True, detect)
        logging.debug(jresult)

        logging.debug("call end of do_pred_by_file<----")
        return jresult

if __name__ == '__main__':

    jpg_name = sys.argv[1]

    cur_dir = os.getcwd()
    test_dir = os.path.join(cur_dir, 'test')
    jpg_file = os.path.join(test_dir, jpg_name + '.jpg')
    img = cv2.imread(jpg_file)

    x=0
    y=0
    h, w = img.shape[:2]

    r = 800
    cx = int(w/2) - r
    cy = int(h/2) - r
    cw = r * 2
    ch = r * 2


    img = cv2.imencode('.jpg', img)[1]
    img = base64.b64encode(img)
    
    ai = ImageDetect()
    params = {}


    # =================================================================
    # Used for demonstrating all supported custom parameters
    # =================================================================

    if jpg_name == 'z1_1':
        # ZZSB-a-alpha_f
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {
            # 'zoom_key': 500,
            # 'um_per_pix': 0.049,
            'draw_color_zz':['alphaf'],
            # 'input': [
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'alphaf', 'action':'add'},
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'', 'action':'delete'}
            # ]
        }

    if jpg_name == 'z1_2':
        # ZZSB-a-alpha_f
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {
            # 'zoom_key': 500,
            # 'um_per_pix': 0.049,
            'draw_color_zz':['alphaf'],
            # 'input': [
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'alphaf', 'action':'add'},
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'', 'action':'delete'}
            # ]
        }

    if jpg_name == 'z2':
        # ZZSB-a-f
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'draw_color_zz':['a', 'f']}

    if jpg_name == 'z3':
        # ZZSB-b-p-f
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'draw_color_zz':['f', 'p']}

    if jpg_name == 'z4':
        # ZZSB-f-p
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'draw_color_zz':['p']}

    if jpg_name == 'z5':
        # ZZSB-g_p-ps_c
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == 'z6':
        # ZZSB-m-cem-retain_a
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')

    if jpg_name == 'z7':
        # ZZSB-m
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')

    if jpg_name == 'z8':
        # ZZSB-p-f
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'draw_color_zz':['p']}

    if jpg_name == 'z9':
        # ZZSB-p
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'draw_color_zz':['p']}

    if jpg_name == 'z10':
        # ZZSB-tempm-cem-retain_a
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')

    if jpg_name == 'z11':
        # ZZSB-temps
        ai.init('{"func": "zzsb", "catagory": "-1", "status": "-1", "magnification": "-1"}')
        params = {'draw_color_zz':['deltaf']}

    # ------------------------------------------------------------------------------

    if jpg_name == '14_1':
        # ZT_H-G_XZ
        ai.init('{"func":"bzpj", "catagory":"14", "items":"1"}')
        params = {
            # 'input': [
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'A', 'action':'add'}
            # ]
        }

    if jpg_name == '14_2':
        # ZT_H-G_CD
        ai.init('{"func":"bzpj", "catagory":"14", "items":"2"}')
        params = {
            'zoom_key': 100,
            'um_per_pix': 0.407,
            'input': [
                {'shape_type': 'line', 'shape_data': [[50, 228], [478, 600]], 'action': 'add', 'value': ''},
                {'shape_type': 'line', 'shape_data': [(280, 1062), (746, 704)], 'action': 'add', 'value': ''},
                {'shape_type': 'line', 'shape_data': [(2144, 906), (1784, 1112)], 'action': 'add', 'value': ''}
            ]
        }

    if jpg_name == '14_3':
        # ZT_H-P_SL
        ai.init('{"func":"bzpj", "catagory":"14", "items":"3"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '14_5':
        # ZT_H-LGJ_SL
        ai.init('{"func":"bzpj", "catagory":"14", "items":"5"}')
        params = {'viewport': {'type':'C', 'x':496, 'y':224, 'w':1759, 'h':1759}}

    if jpg_name == '14_6':
        # ZT_H-GJT_SL_OD
        ai.init('{"func":"bzpj", "catagory":"14", "items":"6"}')
        params = {'viewport': {'type':'C', 'x':377, 'y':105, 'w':1997, 'h':1997}}

    if jpg_name == '14_10':
        # ZT_H-GJT_SL_CLS
        ai.init('{"func":"bzpj", "catagory":"14", "items":"10"}')
        params = {'viewport': {'type':'C', 'x':377, 'y':105, 'w':1997, 'h':1997}}

    # ------------------------------------------------------------------------------

    if jpg_name == '15_1':
        # ZT_QM-G_QH
        ai.init('{"func":"bzpj", "catagory":"15", "items":"1"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '15_2':
        # ZT_QM-G_DX
        ai.init('{"func":"bzpj", "catagory":"15", "items":"2"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '15_3':
        # ZT_QM-P_SL
        ai.init('{"func":"bzpj", "catagory":"15", "items":"3"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '15_4':
        # ZT_QM-F_SL
        ai.init('{"func":"bzpj", "catagory":"15", "items":"4"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '15_5':
        # ZT_QM-LGJ_SL
        ai.init('{"func":"bzpj", "catagory":"15", "items":"5"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    # ------------------------------------------------------------------------------

    if jpg_name == '16_1':
        # ZCG_GTG-QH
        ai.init('{"func":"bzpj", "catagory":"16", "items":"1"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '16_2':
        # ZCG_GTG-WZ_T
        ai.init('{"func":"bzpj", "catagory":"16", "items":"2"}')
        params = {'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}}

    if jpg_name == '16_4':
        # ZCG_GTG-DZ
        ai.init('{"func":"bzpj", "catagory":"16", "items":"4"}')
        params = {
            'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch},
            'ZCG_GTG-DZ': {'direction':'v'}
        }

    # ------------------------------------------------------------------------------

    if jpg_name == '17_1':
        # YGXG-DZ_A
        ai.init('{"func":"bzpj", "catagory":"17", "items":"1"}')
        params = {'YGXG-DZ': {'direction':'h'}}

    if jpg_name == '17_4':
        # YGXG-DZ_D
        ai.init('{"func":"bzpj", "catagory":"17", "items":"4"}')
        params = {'YGXG-DZ': {'direction':'h'}}

    if jpg_name == '17_5':
        # YGXG-DZ_E
        ai.init('{"func":"bzpj", "catagory":"17", "items":"5"}')
        params = {
            'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}, 
            'YGXG-DZ': {'direction':'v'}
        }

    # ------------------------------------------------------------------------------

    if jpg_name == '18_1':
        # YGB-JZW
        ai.init('{"func":"bzpj",  "catagory":"18", "items":"1"}')
        params = {
            'YGB-JZW': {'output_cls_names': ['a', 'b', 'c', 'd', 'ds'], 'direction':'h'},
            # 'input': [
            #     {'shape_type':'line', 'shape_data':[(x1,y1),(x2,y2)], 'value':'A', 'action':'add'},
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'D', 'action':'add'},
            #     {'shape_type':'rect', 'shape_data':[(x1,y1),(x2,y2)], 'value':'', 'action':'delete'}
            # ]
        }

    if jpg_name == '18_2':
        # YGB-JLD_OD
        ai.init('{"func":"bzpj",  "catagory":"18", "items":"2"}')

    if jpg_name == '18_10':
        # YGB-JLD_CLS
        ai.init('{"func":"bzpj",  "catagory":"18", "items":"10"}')

    if jpg_name == '18_3':
        # YGB-W
        ai.init('{"func":"bzpj",  "catagory":"18", "items":"3"}')
        params = {
            'YBG-W': {'w_cls':'wa'},
            'viewport': {'type':'C', 'x':cx, 'y':cy, 'w':cw, 'h':ch}
        }

    raw_msg = ai.do_pred_by_data(img, params)
    json_msg = json.loads(raw_msg.encode("utf-8"))
    detect_type = json_msg['content']['detect_type']
    title = json_msg['content']['title']
    details = json_msg['content']['details']
    
    print('')
    print('{}: {}'.format(jpg_name, json_msg['success']))

    if detect_type == 'zzsb':
        print('{}'.format(title))
    elif detect_type == 'bzpj':
        print('{}'.format(details))
    else:
        print('invalid detect_type={}'.format(detect_type))