Generate a photo gallery of your favorite stars.

getBaiduImageInBigPic.py

import re
import os
import requests
import tqdm
import time

headers = {
    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
    "Cookie": "BDqhfp=%E5%88%98%E4%BA%A6%E8%8F%B2%26%26NaN-1undefined%26%268976%26%2612; BIDUPSID=35317AAD04D05FDEDB9BACFC678F5849; PSTM=1657272836; BAIDUID=35317AAD04D05FDEDB9BACFC678F5849:SL=0:NR=50:FG=1; H_WISE_SIDS=110085_189755_194530_204912_209568_210322_211435_211986_212295_213039_214798_215730_216212_216843_216942_218549_219248_219404_219473_219581_219623_219943_219946_220017_220071_220610_220663_220864_221120_221410_221479_221502_222298_222397_222522_222625_223064_223211_223374_223683_224055_224436_224457_224633_224877_225636_225859_226014_226026_226088_226102_226294_226547_226578_226598_226627_226722_226755_226936_226946_227062_227063_227066_227155_227187_227241_227264_227378_227489_227515_227580_227591_227613_227657_227732_227746_227864_227896_227920_227932_227971_228132_228139_228575_228644_228843_228933_229023_229027_229125_229155_229166_229268_8000063_8000120_8000141_8000150_8000157_8000163_8000178_8000180_8000183_8000186_8000188; H_WISE_SIDS_BFESS=110085_189755_194530_204912_209568_210322_211435_211986_212295_213039_214798_215730_216212_216843_216942_218549_219248_219404_219473_219581_219623_219943_219946_220017_220071_220610_220663_220864_221120_221410_221479_221502_222298_222397_222522_222625_223064_223211_223374_223683_224055_224436_224457_224633_224877_225636_225859_226014_226026_226088_226102_226294_226547_226578_226598_226627_226722_226755_226936_226946_227062_227063_227066_227155_227187_227241_227264_227378_227489_227515_227580_227591_227613_227657_227732_227746_227864_227896_227920_227932_227971_228132_228139_228575_228644_228843_228933_229023_229027_229125_229155_229166_229268_8000063_8000120_8000141_8000150_8000157_8000163_8000178_8000180_8000183_8000186_8000188; MCITY=-257%3A; newlogin=1; BDUSS_BFESS=9BNkxDNlhtYXJJTmZldzZBVkpMUG9wbXNHaVJvNGlBTVcwSWFucTdmb0lOVXRrSUFBQUFBJCQAAAAAAAAAAAEAAABMbsdyAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAioI2QIqCNkVU; H_PS_PSSID=38185_36545_38470_38441_38397_38468_38289_38380_37934_26350_38420_38283_37881; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; BAIDUID_BFESS=35317AAD04D05FDEDB9BACFC678F5849:SL=0:NR=50:FG=1; BDRCVFR[dG2JNJb_ajR]=mk3SLVN4HKm; BDRCVFR[-pGxjrCMryR]=mk3SLVN4HKm; BDRCVFR[X_XKQks0S63]=mk3SLVN4HKm; userFrom=null; ab_sr=1.0.1_MzAwOWZiMjhlYzIzMjhkNjg2YTlhM2NhYjgwMmQxZTYzODRhODdkYTJmOGQwMjQ0ZWE0ZThjMjg3OTZlNjkxNjE0ODUzMDMyZDMzOWJmNjBmZTc4MzEwNmVlOGUwNjM2MTJlOWVmOWYyMTYyMmRlZWViMGQxNGYzZGFlYTMxMzhkM2RlZTg3ODlkOTgzZTUxNTUzOTNjNzM2Njc4OTQxNw==; firstShowTip=1"
}


def getImg(url,idx,path):
    img=requests.get(url,headers=headers)
    file=open(path+str(idx)+'.jpg','wb')
    file.write(img.content)
    file.close()

def remove_escape_sequences(string):
    return string.encode('utf-8').decode('unicode_escape')

search=input("请输入搜索内容：")
if search == "":
    search = "刘亦菲"
number=int(input("请输入需求数量："))
if number == 0:
    number=1000

path='images/'+search+'/'
if not os.path.exists(path):
    os.makedirs(path)

bar=tqdm.tqdm(total=number)
page=0
while(True):
    if number==0:
        break
    url = 'https://image.baidu.com/search/acjson'
    params={
            "tn": "resultjson_com",
            "logid": "11555092689241190059",
            "ipn": "rj",
            "ct": "201326592",
            "is": "",
            "fp": "result",
            "queryWord": search,
            "cl": "2",
            "lm": "-1",
            "ie": "utf-8",
            "oe": "utf-8",
            "adpicid": "",
            "st": "-1",
            "z": "",
            "ic": "0",
            "hd": "",
            "latest": "",
            "copyright": "",
            "word": search,
            "s": "",
            "se": "",
            "tab": "",
            "width": "",
            "height": "",
            "face": "0",
            "istype": "2",
            "qc": "",
            "nc": "1",
            "fr": "",
            "expermode": "",
            "force": "",
            "pn": str(30*page),
            "rn": number,
            "gsm": "1e",
            "1617626956685": ""
        }
    try:
      # print(requests.get(url, headers=headers,params=params).json())
      result = requests.get(url, headers=headers,params=params).json()
      url_list=[]
      for data in result['data'][:-1]:
          url_list.append(data['thumbURL'])
      for i in range(len(url_list)):
          getImg(url_list[i],60*page+i,path)
          bar.update(1)
          number-=1
          if number==0:
              break
      page+=1
    except:
      print('finally:')
      page+=1
    time.sleep(10)
    continue

    
print("\n get finish!")

from PIL import Image
import os

# 设置图像大小和行列数
image_size = 256  # 每个小图片的大小
rows, cols = 30, 30  # 行列数

# 创建一个空白的大图
big_image = Image.new('RGB', (cols * image_size, rows * image_size))

# 遍历目录下的所有文件
pic_dir = path
for i, filename in enumerate(sorted(os.listdir(pic_dir))):
    # 读取每个小图像素数据
    small_image = Image.open(os.path.join(pic_dir, filename))

    # 计算小图像的缩放比例，使其能够适应大图中的单元格
    width, height = small_image.size
    # scale = min(image_size/width, image_size/height)
    scale = max(image_size/width, image_size/height)
    new_width = int(width*scale)
    new_height = int(height*scale)

    # 调整小图像的大小，保持其比例不变
    small_image = small_image.resize((new_width, new_height), Image.ANTIALIAS)

    # 计算小图像在大图中的位置
    row = i // cols
    col = i % cols
    x = col * image_size + (image_size - new_width) // 2
    y = row * image_size + (image_size - new_height) // 2

    # 将小图粘贴到大图上
    big_image.paste(small_image, (x, y))

# 保存大图
big_image.save('big_image_pic_' + search + '.jpg')
print("\n save finish!")