Roomg

手法

アルゴリズム

コード

import cv2
import sys
import time
import numpy
import collections
from tqdm import tqdm
args = sys.argv
filename = args[1]
video = cv2.VideoCapture(filename)
if not video.isOpened():
 print("c('o'c)")
 print("plz {}".format(filename))
 sys.exit()
h = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
w = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
f = 0 #int(video.get(cv2.CAP_PROP_FRAME_COUNT))
frame = []
while True:
 ret, tmp = video.read()
 if not ret:
 break
 f += 1
 frame.append(tmp)
print("c('-'c)")
print("-" * 50)
print("Height:{}\nWidht:{}\nFrame:{}".format(h, w, f))
print("-" * 50)
omg = int(input("omg:"))
print("-" * 50)
omgc = 0
image = [[0] * w for i in range(h)]
bar = tqdm(total = h * w)
bar.set_description('Progress')
start = time.time()
#"""
for i in range(h):
 for j in range(w):
 colors = []
 most = []
 n = -1
 for k in range(f):
 colors.append(str(frame[k][i][j].tolist()))
 for k in (collections.Counter(colors).most_common()[0][0]).replace("[", "").replace("]", "").split(', '):
 most.append(int(k))
 while True:
 least = []
 for k in (collections.Counter(colors).most_common()[n][0]).replace("[", "").replace("]", "").split(', '):
 least.append(int(k))
 n -= 1
 if most == least:
 least = []
 for k in (collections.Counter(colors).most_common()[-1][0]).replace("[", "").replace("]", "").split(', '):
 least.append(int(k))
 break
 if abs(sum(most) - sum(least)) > omg:
 omgc += 1
 break
 image[i][j] = numpy.array(least)
 bar.update(1)
 #print("{}/{}:{:.2f}s".format(i + 1, h, time.time() - start))
#"""
bar.close()
print("omgc:{}".format(omgc))
print("Time:{:.2f}".format(time.time() - start))
print("-" * 50)
cv2.imwrite('{}_room_{}.png'.format(filename.replace(".mp4", ""), omg), numpy.array(image))
print("b(^0^b)")

理想的な動画

実際の動画

対抗手法

フレーム単位のノイズ

ピクセル単位のノイズ

コード

import cv2
import sys
import copy
import random
filename = sys.argv[1]
frame = int(input("frame:"))
fps = float(input("fps:"))
image = cv2.imread(filename)
h = len(image)
w = len(image[0])
randlist = []
for i in range(h):
 for j in range(w):
 randlist.append((i,j))
random.shuffle(randlist)
video = cv2.VideoWriter("itonv_{}_{}.mp4".format(filename.replace(".png",""), fps), cv2.VideoWriter_fourcc('m','p','4', 'v'), fps, (w, h))
print("o('x'o)")
##############################
probability = 100000
##############################
count = 0
frame_c = 0
pixels = h * w #len(randlist)
image1 = copy.deepcopy(image)
while True:
 if count >= pixels - 1:
 random.shuffle(randlist)
 count = 0
 if not random.randrange(probability):
 if frame_c >= frame:
 break
 video.write(image1)
 frame_c += 1
 print(frame_c)
 image1 = copy.deepcopy(image)
 ##############################
 no_noises_frames = 5
 ##############################
 if frame_c + no_noises_frames>= frame:
 no_noises_frames = frame - frame_c
 for i in range(no_noises_frames):
 video.write(image)
 frame_c += 1
 print(frame_c)
 else:
 for i in range(3):
 image1[randlist[count][0]][randlist[count][1]][i] = random.randrange(255)
 count += 1
video.release()
print("OK")

ツール群

$ python3 roomg.py sample_01.mp4
c('-'c)
--------------------------------------------------
Height:1080
Widht:1920
Frame:608
--------------------------------------------------
omg:40
--------------------------------------------------
Progress: 100%|██████████████████████████████████████████████████████| 2073600/2073600 [26:30<00:00, 1303.99it/s]
omgc:2073600
Time:1590.20
--------------------------------------------------
b(^0^b)

$ python3 vtois.py sample_01.mp4
o('3'o)
f:608
OK

$ python3 istov.py
Directory Name:sample_01_images
h:1080
w:1920
fps:60.6
o('4'o)
OK

$ python3 randpxs.py
h:1080
w:1920
seed:31415
o('p'o)
OK

$ python3 itonv.py zoom_vbg.png
frame:5
fps:0.5
o('x'o)
1
2
3
4
5
OK

$ python3 xy_check.py sample_01.mp4
h:200
w:100
o('^'o)
f:608
OK

発表履歴

AVTOKYO2020 (2020年10月31日)

情報通信システムセキュリティ研究会 (2021年03月01日)