Python使用5行代码批量做小姐姐的素描图

 pip install opencv-python 

 import cv2 

 import cv2 SRC = 'images/image_1.jp<em style="color:transparent">来源[email protected]搞@^&代*@码网</em>g-600' image_rgb = cv2.imread(SRC) image_gray = cv2.cvtColor(image_rgb, cv2.COLOR_BGR2GRAY) image_blur = cv2.GaussianBlur(image_gray, ksize=(21, 21), sigmaX=0, sigmaY=0) image_blend = cv2.divide(image_gray, image_blur, scale=255) cv2.imwrite('result.jpg-600', image_blend) 

 """ project = 'Code', file_name = 'study.py', author = 'AI悦创' time = '2020/5/19 8:35', product_name = PyCharm, 公众号：AI悦创 code is far away from bugs with the god animal protecting I love animals. They taste delicious. """ import cv2 # 原图路径 SRC = 'images/image_1.jpg-600' # 读取图片 image_rgb = cv2.imread(SRC) # cv2.imshow('rgb', image_rgb) # 原图 # cv2.waitKey(0) # exit() image_gray = cv2.cvtColor(image_rgb, cv2.COLOR_BGR2GRAY) # cv2.imshow('gray', image_gray) # 灰度图 # cv2.waitKey(0) # exit() image_bulr = cv2.GaussianBlur(image_gray, ksize=(21, 21), sigmaX=0, sigmaY=0) cv2.imshow('image_blur', image_bulr) # 高斯虚化 cv2.waitKey(0) exit() # divide: 提取两张差别较大的线条和内容 image_blend = cv2.divide(image_gray, image_bulr, scale=255) # cv2.imshow('image_blend', image_blend) # 素描 cv2.waitKey(0) # cv2.imwrite('result1.jpg-600', image_blend) 

 # Crawler.Spider.py import re import os import time import collections from collections import namedtuple import requests from concurrent import futures from tqdm import tqdm from enum import Enum BASE_URL = 'https://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&ct=201326592&is=&fp=result&queryWord={keyword}&cl=2&lm=-1&ie=utf-8&oe=utf-8&adpicid=&st=-1&z=&ic=&hd=&latest=©right=&word={keyword}&s=&se=&tab=&width=&height=&face=0&istype=2&qc=&nc=1&fr=&expermode=&force=&pn={page}&rn=30&gsm=&1568638554041=' HEADERS = { 'Referer': 'http://image.baidu.com/search/index?tn=baiduimage&ipn=r&ct=201326592&cl=2&lm=-1&st=-1&fr=&sf=1&fmq=1567133149621_R&pv=&ic=0&nc=1&z=0&hd=0&latest=0©right=0&se=1&showtab=0&fb=0&width=&height=&face=0&istype=2&ie=utf-8&sid=&word=%E5%A3%81%E7%BA%B8', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36', 'X-Requested-With': 'XMLHttpRequest', } class BaiDuSpider: def __init__(self, max_works, images_type): self.max_works = max_works self.HTTPStatus = Enum('Status', ['ok', 'not_found', 'error']) self.result = namedtuple('Result', 'status data') self.session = requests.session() self.img_type = images_type self.img_num = None self.headers = HEADERS self.index = 1 def get_img(self, img_url): res = self.session.get(img_url) if res.status_code != 200: res.raise_for_status() return res.content def download_one(self, img_url, verbose): try: image = self.get_img(img_url) except requests.exceptions.HTTPError as e: res = e.response if res.status_code == 404: status = self.HTTPStatus.not_found msg = 'not_found' else: raise else: self.save_img(self.img_type, image) status = self.HTTPStatus.ok msg = 'ok' if verbose: print(img_url, msg) return self.result(status, msg) def get_img_url(self): urls = [BASE_URL.format(keyword=self.img_type, page=page) for page in self.img_num] for url in urls: res = self.session.get(url, headers=self.headers) if res.status_code == 200: img_list = re.findall(r'"thumbURL":"(.*?)"', res.text) # 返回出图片地址，配合其他函数运行 yield {img_url for img_url in img_list} elif res.status_code == 404: print('-----访问失败，找不到资源-----') yield None elif res.status_code == 403: print('*****访问失败，服务器拒绝访问*****') yield None else: print('>>> 网络连接失败 <<>> ') try: os.mkdir(self.img_type) except FileExistsError: pass img_num = input('请输入要下载的数量(1位数代表30张，列如输入1就是下载30张，2就是60张)：>>> ') while True: if img_num.isdigit(): img_num = int(img_num) * 30 self.img_num = range(30, img_num + 1, 30) break else: img_num = input('输入错误，请重新输入要下载的数量>>> ') def main(self): # 获取图片类型和下载的数量 total_counter = {} self.what_want2download() for img_url_set in self.get_img_url(): if img_url_set: counter = self.download_many(img_url_set, False) for key in counter: if key in total_counter: total_counter[key] += counter[key] else: total_counter[key] = counter[key] else: # 可以为其添加报错功能 pass time.sleep(.5) return total_counter if __name__ == '__main__': max_works = 20 bd_spider = BaiDuSpider(max_works) print(bd_spider.main())

 # Sketch_the_generated_code.py import cv2 def drawing(src, id=None): image_rgb = cv2.imread(src) image_gray = cv2.cvtColor(image_rgb, cv2.COLOR_BGR2GRAY) image_blur = cv2.GaussianBlur(image_gray, ksize=(21, 21), sigmaX=0, sigmaY=0) image_blend = cv2.divide(image_gray, image_blur, scale=255) cv2.imwrite(f'Drawing_images/result-{id}.jpg-600', image_blend) 

 # image_list.image_list_path.py import os from natsort import natsorted IMAGES_LIST = [] def image_list(path): global IMAGES_LIST for root, dirs, files in os.walk(path): # 按文件名排序 # files.sort() files = natsorted(files) # 遍历所有文件 for file in files: # 如果后缀名为 .jpg-600 if os.path.splitext(file)[1] == '.jpg-600': # 拼接成完整路径 # print(file) filePath = os.path.join(root, file) print(filePath) # 添加到数组 IMAGES_LIST.append(filePath) return IMAGES_LIST 

 # main.py import time from Sketch_the_generated_code import drawing from Crawler.Spider import BaiDuSpider from image_list.image_list_path import image_list import os MAX_WORDS = 20 if __name__ == '__main__': # now_path = os.getcwd() # img_type = 'ai' img_type = input('请输入你想下载的图片类型，什么都可以哦~ >>> ') bd_spider = BaiDuSpider(MAX_WORDS, img_type) print(bd_spider.main()) time.sleep(10) # 这里设置睡眠时间，让有足够的时间去添加，这样读取就，去掉或者太短会报错，所以 for index, path in enumerate(image_list(img_type)): drawing(src = path, id = index)

 C:. │  main.py │  Sketch_the_generated_code.py │ ├─Crawler │  │  Spider.py │  │ │  └─__pycache__ │          Spider.cpython-37.pyc │ ├─drawing │  │  result.jpg-600 │  │  result1.jpg-600 │  │  Sketch_the_generated_code.py │  │  study.py │  │ │  ├─images │  │      image_1.jpg-600 │  │ │  └─__pycache__ │          Sketch_the_generated_code.cpython-37.pyc │ ├─Drawing_images ├─image_list │  │  image_list_path.py │  │ │  └─__pycache__ │          image_list_path.cpython-37.pyc │ └─__pycache__ Sketch_the_generated_code.cpython-37.pyc