deepconsc

#execute server with nohup

nohup python spoof.py&>logfile.txt&

request : json format video:base64

response: json format true if video is spoof false if video is real

deepconsc

import os
import glob
import torch
import random
import numpy as np
from torch.utils.data import Dataset, DataLoader

from utils.utils import read_wav_np

deepconsc

import random as r
import math
cfg = get_cfg()

cfg.merge_from_file("./detectron2_repo/configs/COCO-Detection/retinanet_R_50_FPN_3x.yaml")

# detector threshold

cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5  
cfg.MODEL.WEIGHTS = 'output/model_final.pth'

deepconsc

# basic libraries
import matplotlib.pyplot as plt
import numpy as np
import cv2
from google.colab.patches import cv2_imshow

# detectron2 utilities
import detectron2
from detectron2.utils.logger import setup_logger
setup_logger()

deepconsc

## Taken from: https://github.com/wkentaro/labelme
## LabelMe official repository

import argparse
import collections
import datetime
import glob
import json
import os
import os.path as osp