Python使用5行代码批量做小姐姐的素描图 Python使用5行代码批量做小姐姐

1. 流程分析
2. 具体实现
3. 百度图片爬虫+生成素描图

我给大家带来的是 50行代码，生成一张素描图。让自己也是一个素描“大师”。那废话不多说，我们直接先来看看效果吧。

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上图的右边就是我们的效果，那具体有哪些步骤呢？

1. 流程分析

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对于上面的流程来说是非常简单的，接下来我们来看看具体的实现。

2. 具体实现
安装所需要的库：

pip install opencv-python

导入所需要的库：

import cv2

编写主体代码也是非常的简单的，代码如下：

import cv2SRC = 'https://www.it610.com/article/images/image_1.jpg'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', image_blend)

那上面的代码其实并不难，那接下来为了让小伙伴们能更好的理解，我编写了如下代码：

"""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 protectingI love animals. They taste delicious."""import cv2# 原图路径SRC = 'https://www.it610.com/article/images/image_1.jpg'# 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', image_blend)

那上面的代码，我们是在原有的基础上添加了，一些实时展示的代码，来方便同学们理解。
其实有同学会问，我用软件不就可以直接生成素描图吗？
那程序的好处是什么？
程序的好处就是如果你的图片量多的话，这个时候使用程序批量生成也是非常方便高效的。
这样我们的就完成，把小姐姐的图片变成了素描，skr~。

3. 百度图片爬虫+生成素描图
不过，这还不是我们的海量图片，为了达到海量这个词呢，我写了一个百度图片爬虫，不过本文不是教如何写爬虫代码的，这里我就直接放出爬虫代码，符和软件工程规范：

# Crawler.Spider.pyimport reimport osimport timeimport collectionsfrom collections import namedtupleimport requestsfrom concurrent import futuresfrom tqdm import tqdmfrom enum import EnumBASE_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_worksself.HTTPStatus = Enum('Status', ['ok', 'not_found', 'error'])self.result = namedtuple('Result', 'status data')self.session = requests.session()self.img_type = images_typeself.img_num = Noneself.headers = HEADERSself.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.responseif res.status_code == 404:status = self.HTTPStatus.not_foundmsg = 'not_found'else:raiseelse:self.save_img(self.img_type, image)status = self.HTTPStatus.okmsg = '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 Noneelif res.status_code == 403:print('*****访问失败，服务器拒绝访问*****')yield Noneelse:print('>>> 网络连接失败 <<<')yield None def download_many(self, img_url_set, verbose=False):if img_url_set:counter = collections.Counter()with futures.ThreadPoolExecutor(self.max_works) as executor:to_do_map = {}for img in img_url_set:future = executor.submit(self.download_one, img, verbose)to_do_map[future] = imgdone_iter = futures.as_completed(to_do_map)if not verbose:done_iter = tqdm(done_iter, total=len(img_url_set))for future in done_iter:try:res = future.result()except requests.exceptions.HTTPError as e:error_msg = 'HTTP error {res.status_code} - {res.reason}'error_msg = error_msg.format(res=e.response)except requests.exceptions.ConnectionError:error_msg = 'ConnectionError error'else:error_msg = ''status = res.statusif error_msg:status = self.HTTPStatus.errorcounter[status] += 1if verbose and error_msg:img = to_do_map[future]print('***Error for {} : {}'.format(img, error_msg))return counterelse:pass def save_img(self, img_type, image):with open('{}/{}.jpg'.format(img_type, self.index), 'wb') as f:f.write(image)self.index += 1 def what_want2download(self):# self.img_type = input('请输入你想下载的图片类型，什么都可以哦~ >>> ')try:os.mkdir(self.img_type)except FileExistsError:passimg_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) * 30self.img_num = range(30, img_num + 1, 30)breakelse: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passtime.sleep(.5)return total_counterif __name__ == '__main__': max_works = 20 bd_spider = BaiDuSpider(max_works) print(bd_spider.main())

# Sketch_the_generated_code.pyimport cv2def 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', image_blend)

# image_list.image_list_path.pyimport osfrom natsort import natsortedIMAGES_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 .jpgif os.path.splitext(file)[1] == '.jpg':# 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.pyimport timefrom Sketch_the_generated_code import drawingfrom Crawler.Spider import BaiDuSpiderfrom image_list.image_list_path import image_listimport osMAX_WORDS = 20if __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 = https://www.it610.com/article/path, id = index)

所以最终的目录结构如下所示：

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

至此，全部代码已经完成。
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