这篇文章主要介绍“怎么使用Python代码批量做素描图”的相关知识，小编通过实际案例向大家展示操作过程，操作方法简单快捷，实用性强，希望这篇“怎么使用Python代码批量做素描图”文章能帮助大家解决问题。
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。
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 cv2
SRC = "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 protecting
I love animals. They taste delicious.
"""
import cv2
# 原图路径
SRC = "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~。
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.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 <<<")
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] = img
done_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.status
if error_msg:
status = self.HTTPStatus.error
counter[status] += 1
if verbose and error_msg:
img = to_do_map[future]
print("***Error for {} : {}".format(img, error_msg))
return counter
else:
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:
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", 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 if 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.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)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
关于“怎么使用Python代码批量做素描图”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识，可以关注亿速云行业资讯频道，小编每天都会为大家更新不同的知识点。
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
