image_hash.py

# 画像ハッシュ生成

import numpy as np
import scipy.fftpack
import cv2

# phash(perceptual hash)による実装例
def phash_calc(raw_file, hash_size=32):
    image = cv2.imdecode(np.asarray(bytearray(raw_file), dtype=np.uint8), 1)
    check_image = cv2.resize(image, (hash_size, hash_size))
    check_image = cv2.cvtColor(check_image, cv2.COLOR_RGB2GRAY)
    dct = scipy.fftpack.dct(check_image)
    dctlowfreq = dct[:8, 1:9]
    avg = dctlowfreq.mean()
    diff = dctlowfreq > avg
    value_str = ""
    for value in [flatten for inner in diff for flatten in inner]:
        value_str += '1' if value else '0'
    return value_str

# dhash(different hash)による実装例
def dhash_calc(raw_file, hash_size=7):
    image = cv2.imdecode(np.asarray(bytearray(raw_file), dtype=np.uint8), 1)
    check_image = cv2.resize(image,(hash_size,hash_size+1))
    check_image = cv2.cvtColor(check_image, cv2.COLOR_RGB2GRAY)
    difference = []
    for row in range(hash_size):
        for col in range(hash_size):
            pixel_left = check_image[col, row]
            pixel_right = check_image[col + 1, row]
            difference.append(pixel_left > pixel_right)
    decimal_value = 0
    hex_string = []
    for index, value in enumerate(difference):
        if value:
            decimal_value += 2**(index % 8)
        if (index % 8) == 7:
            hex_string.append(hex(decimal_value)[2:].rjust(2, '0'))
            decimal_value = 0
    return ''.join(hex_string)

TL_capture_lbp_overlap.py

# TLに流れてる画像回収 with lbpcascade_animeface 重複検出版

import os
import time
import datetime
import urllib
import json
import tweepy as tp
from lbpcascade import face2d_detect
from image_hash import phash_calc

def get_oauth():
    """設定ファイルから各種キーを取得し、OAUTH認証を行う"""
    setting = json.load(open("./setting.json"))
    auth = tp.OAuthHandler(setting['CK'], setting['CS'])
    auth.set_access_token(setting['Admin_Key'], setting['Admin_Secret'])
    return auth

class StreamListener(tp.StreamListener):
    def __init__(self, api):
        """コンストラクタ"""
        self.api = api
        self.me = self.api.me().screen_name
        # 保存先
        self.old_date = datetime.date.today()
        self.mkdir()
    
    def on_error(self, status_code):
        """接続エラー時対策"""
        return True

    def on_timeout(self):
        """接続タイムアウト時対策"""
        return True

    def on_status(self, status):
        """UserStreamから飛んできたStatusを処理する"""
        # Tweetに画像がついているか
        is_media = False
        # 日付の確認
        now = datetime.date.today()
        if now != self.old_date:
            self.old_date = now
            self.mkdir()
        # TweetがRTかどうか
        if hasattr(status, "retweeted_status"):
            status = status.retweeted_status
        # Tweetが引用ツイートかどうか
        if hasattr(status, "quoted_status"):
            status = status.quoted_status
        # 複数枚の画像ツイートのとき
        if hasattr(status, "extended_entities"):
            if 'media' in status.extended_entities:
                status_media = status.extended_entities
                is_media = True
        # 一枚の画像ツイートのとき
        elif hasattr(status, "entities"):
            if 'media' in status.entities:
                status_media = status.entities
                is_media = True

        # 画像がついていたとき
        if is_media:
            # 自分のツイートは飛ばす(RT対策)
            if status.user.screen_name != self.me:
                for image in status_media['media']:
                    if image['type'] != 'photo':
                        break
                    # URL, ファイル名
                    media_url = image['media_url']
                    root, ext = os.path.splitext(media_url)
                    filename = str(self.fileno).zfill(5)
                    # URLによる重複確認
                    if media_url in self.file_url:
                        print("Skip : {}-{}".format(status.user.screen_name, filename))
                        continue
                    # ダウンロード
                    try:
                        temp_file = urllib.request.urlopen(media_url+":orig").read()
                    except:
                        print("Download Error")
                        continue
                    # ハッシュによる重複確認
                    is_overlap = False
                    image_hash = phash_calc(temp_file)
                    for hash_key in self.file_hash:
                        # dhashの場合は下の2を16に変更(2進数と16進数)
                        check = int(hash_key, 2) ^ int(image_hash, 2)
                        count = bin(check).count('1')
                        if count < 4:
                            is_overlap = True
                            break
                    if is_overlap:
                        print("Skip : {}-{}".format(status.user.screen_name, filename))
                        continue
                    # 顔検出へ
                    is_get, areas = face2d_detect(temp_file)
                    # 保存
                    if is_get:
                        out = open(self.base_path + filename + ext, "wb")
                        out.write(temp_file)
                        out.close()
                        self.file_url.append(media_url)
                        self.file_hash.append(image_hash)
                        print("Save : {}-{}".format(status.user.screen_name, filename))
                        self.fileno += 1
                    else:
                        print("Skip : {}-{}".format(status.user.screen_name, filename))
                    temp_file = None

    def mkdir(self):
        """保存用のフォルダーを生成し、必要な変数を初期化する"""
        self.base_path = "./" + self.old_date.isoformat() + "/"
        if os.path.exists(self.base_path) == False:
            os.mkdir(self.base_path)
        self.fileno = 0
        self.file_hash = []
        self.file_url = []

def main():
    """メイン関数"""
    auth = get_oauth()
    stream = tp.Stream(auth, StreamListener(tp.API(auth)), secure=True)
    print('Start Streaming!')
    while True:
        try:
            stream.userstream()
        except KeyboardInterrupt:
            exit()
        except:
            print('UserStream Error')
            time.sleep(60)

if __name__ == '__main__':
    main()