55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from icrawler.builtin import BingImageCrawler
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from icrawler.builtin import FlickrImageCrawler
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from icrawler.builtin import BaiduImageCrawler
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from icrawler.builtin import GoogleImageCrawler
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from icrawler.builtin import GreedyImageCrawler
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google = "google"
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bing = "bing"
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baidu = "baidu"
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greedy = "greedy"
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# we are beach cats image detection that's why we put cat here
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# if you want some other images then put that name in classes list
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classes = [
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"patient bed",
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"patient bed in hong kong",
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"patient bed in china",
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"patient bed in japan",
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"patient bed in taiwan",
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]
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number = 99999
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# here root directory is find your root directory there u will find
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# new file name data in which all images are saved.
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from multiprocessing import Pool
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def crawler(s_c):
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search_engine = s_c[0]
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c = s_c[1]
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c_dir = c.replace(" ", "_")
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if search_engine == bing:
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bing_crawler = BingImageCrawler(storage={"root_dir": f"p/bus/bing_{c_dir}"})
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bing_crawler.crawl(keyword=c, filters=None, max_num=number, offset=0)
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elif search_engine == google:
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google_crawler = GoogleImageCrawler(storage={"root_dir": f"p/bus/google_{c_dir}"})
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google_crawler.crawl(keyword=c, filters=None, max_num=number, offset=0)
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elif search_engine == baidu:
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baidu_crawler = BaiduImageCrawler(storage={"root_dir": f"p/bus/baidu_{c_dir}"})
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baidu_crawler.crawl(keyword=c, filters=None, max_num=number, offset=0)
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process_list = []
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for search_engine in [google, bing, baidu, greedy]:
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for c in classes:
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process_list.append([search_engine, c])
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with Pool() as pool:
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import random
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random.shuffle(process_list)
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pool.map(crawler, process_list)
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