目錄
- 1. 流程分析
- 2. 具體實(shí)現(xiàn)
- 3. 百度圖片爬蟲(chóng)+生成素描圖
我給大家?guī)?lái)的是 50行代碼,生成一張素描圖。讓自己也是一個(gè)素描“大師”。那廢話不多說(shuō),我們直接先來(lái)看看效果吧。
上圖的右邊就是我們的效果,那具體有哪些步驟呢?
1. 流程分析
對(duì)于上面的流程來(lái)說(shuō)是非常簡(jiǎn)單的,接下來(lái)我們來(lái)看看具體的實(shí)現(xiàn)。
2. 具體實(shí)現(xiàn)
安裝所需要的庫(kù):
pip install opencv-python
導(dǎo)入所需要的庫(kù):
編寫(xiě)主體代碼也是非常的簡(jiǎn)單的,代碼如下:
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)
那上面的代碼其實(shí)并不難,那接下來(lái)為了讓小伙伴們能更好的理解,我編寫(xiě)了如下代碼:
"""
project = 'Code', file_name = 'study.py', author = 'AI悅創(chuàng)'
time = '2020/5/19 8:35', product_name = PyCharm, 公眾號(hào):AI悅創(chuàng)
code is far away from bugs with the god animal protecting
I love animals. They taste delicious.
"""
import cv2
# 原圖路徑
SRC = 'images/image_1.jpg'
# 讀取圖片
image_rgb = cv2.imread(SRC)
# cv2.imshow('rgb', image_rgb) # 原圖
# cv2.waitKey(0)
# exit()
image_gray = cv2.cvtColor(image_rgb, cv2.COLOR_BGR2GRAY)
# cv2.imshow('gray', image_gray) # 灰度圖
# cv2.waitKey(0)
# exit()
image_bulr = cv2.GaussianBlur(image_gray, ksize=(21, 21), sigmaX=0, sigmaY=0)
cv2.imshow('image_blur', image_bulr) # 高斯虛化
cv2.waitKey(0)
exit()
# divide: 提取兩張差別較大的線條和內(nèi)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)
那上面的代碼,我們是在原有的基礎(chǔ)上添加了,一些實(shí)時(shí)展示的代碼,來(lái)方便同學(xué)們理解。
其實(shí)有同學(xué)會(huì)問(wèn),我用軟件不就可以直接生成素描圖嗎?
那程序的好處是什么?
程序的好處就是如果你的圖片量多的話,這個(gè)時(shí)候使用程序批量生成也是非常方便高效的。
這樣我們的就完成,把小姐姐的圖片變成了素描,skr~。
3. 百度圖片爬蟲(chóng)+生成素描圖
不過(guò),這還不是我們的海量圖片,為了達(dá)到海量這個(gè)詞呢,我寫(xiě)了一個(gè)百度圖片爬蟲(chóng),不過(guò)本文不是教如何寫(xiě)爬蟲(chóng)代碼的,這里我就直接放出爬蟲(chóng)代碼,符和軟件工程規(guī)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_comipn=rjct=201326592is=fp=resultqueryWord={keyword}cl=2lm=-1ie=utf-8oe=utf-8adpicid=st=-1z=ic=hd=latest=©right=word={keyword}s=se=tab=width=height=face=0istype=2qc=nc=1fr=expermode=force=pn={page}rn=30gsm=1568638554041='
HEADERS = {
'Referer': 'http://image.baidu.com/search/index?tn=baiduimageipn=rct=201326592cl=2lm=-1st=-1fr=sf=1fmq=1567133149621_Rpv=ic=0nc=1z=0hd=0latest=0©right=0se=1showtab=0fb=0width=height=face=0istype=2ie=utf-8sid=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)
# 返回出圖片地址,配合其他函數(shù)運(yùn)行
yield {img_url for img_url in img_list}
elif res.status_code == 404:
print('-----訪問(wèn)失敗,找不到資源-----')
yield None
elif res.status_code == 403:
print('*****訪問(wèn)失敗,服務(wù)器拒絕訪問(wèn)*****')
yield None
else:
print('>>> 網(wǎng)絡(luò)連接失敗 ')
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('請(qǐng)輸入你想下載的圖片類型,什么都可以哦~ >>> ')
try:
os.mkdir(self.img_type)
except FileExistsError:
pass
img_num = input('請(qǐng)輸入要下載的數(shù)量(1位數(shù)代表30張,列如輸入1就是下載30張,2就是60張):>>> ')
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('輸入錯(cuò)誤,請(qǐng)重新輸入要下載的數(shù)量>>> ')
def main(self):
# 獲取圖片類型和下載的數(shù)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:
# 可以為其添加報(bào)錯(cuò)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)
# 遍歷所有文件
for file in files:
# 如果后綴名為 .jpg
if os.path.splitext(file)[1] == '.jpg':
# 拼接成完整路徑
# print(file)
filePath = os.path.join(root, file)
print(filePath)
# 添加到數(shù)組
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('請(qǐng)輸入你想下載的圖片類型,什么都可以哦~ >>> ')
bd_spider = BaiDuSpider(MAX_WORDS, img_type)
print(bd_spider.main())
time.sleep(10) # 這里設(shè)置睡眠時(shí)間,讓有足夠的時(shí)間去添加,這樣讀取就,去掉或者太短會(huì)報(bào)錯(cuò),所以
for index, path in enumerate(image_list(img_type)):
drawing(src = path, id = index)
所以最終的目錄結(jié)構(gòu)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,全部代碼已經(jīng)完成。
到此這篇關(guān)于Python使用5行代碼批量做小姐姐的素描圖的文章就介紹到這了,更多相關(guān)Python 批量做素描圖內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
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