20231214爬虫学习更新

Spider/Chapter07_动态渲染页面爬取/PyppeteerPractice.py

@@ -0,0 +1,104 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 19:15
+@Usage : 
+@Desc :
+'''
+
+import logging
+from os.path import exists
+from os import makedirs
+import json
+import asyncio
+from pyppeteer import launch
+from pyppeteer.errors import TimeoutError
+
+logging.basicConfig(level=logging.INFO,
+                    format='%(asctime)s - %(levelname)s: %(message)s')
+
+INDEX_URL = 'https://spa2.scrape.center/page/{page}'
+TIMEOUT = 10
+TOTAL_PAGE = 10
+RESULTS_DIR = 'results'
+WINDOW_WIDTH, WINDOW_HEIGHT = 1366, 768
+
+exists(RESULTS_DIR) or makedirs(RESULTS_DIR)
+
+browser, tab = None, None
+HEADLESS = True
+
+
+async def init():
+    global browser, tab
+    browser = await launch(headless=HEADLESS,
+                           args=['--disable-infobars', f'--window-size={WINDOW_WIDTH},{WINDOW_HEIGHT}'])
+    tab = await browser.newPage()
+    await tab.setViewport({'width': WINDOW_WIDTH, 'height': WINDOW_HEIGHT})
+
+
+async def scrape_page(url, selector):
+    logging.info('scraping %s', url)
+    try:
+        await tab.goto(url)
+        await tab.waitForSelector(selector, options={
+            'timeout': TIMEOUT * 1000
+        })
+    except TimeoutError:
+        logging.error('error occurred while scraping %s', url, exc_info=True)
+
+
+async def scrape_index(page):
+    url = INDEX_URL.format(page=page)
+    await scrape_page(url, '.item .name')
+
+
+async def parse_index():
+    return await tab.querySelectorAllEval('.item .name', 'nodes => nodes.map(node => node.href)')
+
+
+async def scrape_detail(url):
+    await scrape_page(url, 'h2')
+
+
+async def parse_detail():
+    url = tab.url
+    name = await tab.querySelectorEval('h2', 'node => node.innerText')
+    categories = await tab.querySelectorAllEval('.categories button span', 'nodes => nodes.map(node => node.innerText)')
+    cover = await tab.querySelectorEval('.cover', 'node => node.src')
+    score = await tab.querySelectorEval('.score', 'node => node.innerText')
+    drama = await tab.querySelectorEval('.drama p', 'node => node.innerText')
+    return {
+        'url': url,
+        'name': name,
+        'categories': categories,
+        'cover': cover,
+        'score': score,
+        'drama': drama
+    }
+
+
+async def save_data(data):
+    name = data.get('name')
+    data_path = f'{RESULTS_DIR}/{name}.json'
+    json.dump(data, open(data_path, 'w', encoding='utf-8'), ensure_ascii=False, indent=2)
+
+
+async def main():
+    await init()
+    try:
+        for page in range(1, TOTAL_PAGE + 1):
+            await scrape_index(page)
+            detail_urls = await parse_index()
+            for detail_url in detail_urls:
+                await scrape_detail(detail_url)
+                detail_data = await parse_detail()
+                logging.info('data %s', detail_data)
+                await save_data(detail_data)
+    finally:
+        await browser.close()
+
+
+if __name__ == '__main__':
+    asyncio.get_event_loop().run_until_complete(main())

Spider/Chapter07_动态渲染页面爬取/SeleniumPractice.py

@@ -0,0 +1,111 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 15:58
+@Usage : 使用Selenium实战爬取 https://spa2.scrape.center/
+@Desc : 该网站爬取详情页时存在一个token,这个token的实现逻辑可能不确定，并且随事件发生变化，
+因此需要使用Selenium模拟浏览器操作跳过这段逻辑
+'''
+from selenium import webdriver
+from selenium.common.exceptions import TimeoutException
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support.wait import WebDriverWait
+from os import makedirs
+from os.path import exists
+import logging
+from urllib.parse import urljoin
+import json
+
+logging.basicConfig(level=logging.INFO,
+                    format='%(asctime)s - %(levelname)s: %(message)s')
+
+INDEX_URL = 'https://spa2.scrape.center/page/{page}'
+Timeout = 10
+Total_page = 10
+RESULTS_DIR = 'result'
+
+exists(RESULTS_DIR) or makedirs(RESULTS_DIR)
+
+# 防止有一些网站设置反屏蔽手段
+options = webdriver.ChromeOptions()
+options.add_experimental_option('excludeSwitches', ['enable-automation'])
+options.add_experimental_option('useAutomationExtension', False)
+
+# 显示设置超时时间
+browser = webdriver.Chrome(options=options)
+wait = WebDriverWait(browser, Timeout)
+
+
+# 爬取网页
+def scrape_page(url, condition, locator):
+    logging.info('scraping %s', url)
+    try:
+        browser.get(url)
+        # 设置等待
+        wait.until(condition(locator))
+    except TimeoutException:
+        logging.error('error occurred while scraping %s', url, exc_info=True)
+
+
+def scrape_index(page):
+    url = INDEX_URL.format(page=page)
+    # 设置等待条件为当所有的index下面的子item都出来之后
+    scrape_page(url, EC.visibility_of_all_elements_located, locator=(By.CSS_SELECTOR, '#index .item'))
+
+
+def parse_index():
+    titles = browser.find_elements(By.CSS_SELECTOR, '#index .item .name')
+    for title in titles:
+        href = title.get_attribute("href")
+        yield urljoin(INDEX_URL, href)
+
+
+def scrape_detail(url):
+    return scrape_page(url, EC.visibility_of_element_located, (By.TAG_NAME, 'h2'))
+
+
+def parse_detail():
+    url = browser.current_url
+    name = browser.find_element(By.TAG_NAME, 'h2').text
+    category = [element.text for element in browser.find_elements(By.CSS_SELECTOR, '.categories button span')]
+    cover = browser.find_element(By.CLASS_NAME, 'cover').get_attribute("src")
+    score = browser.find_element(By.CLASS_NAME, 'score').text
+    drama = browser.find_element(By.CSS_SELECTOR, '.drama p').text
+    return {
+        "url": url,
+        "name": name,
+        "category": category,
+        "cover": cover,
+        "score": score,
+        "drama": drama
+    }
+
+
+def save_data(data):
+    name = data.get('name')
+    data_path = f'{RESULTS_DIR}/{name}.json'
+    json.dump(data, open(data_path, 'w', encoding='utf-8'), ensure_ascii=False, indent=2)
+
+def main():
+    try:
+
+        for page in range(1, Total_page + 1):
+            scrape_index(page)
+            # 页面加载完毕之后，获取对应的url
+            detail_urls=list(parse_index())
+            # logging.info('detail data %s', list(detail_urls))
+            # 遍历所有的detail_urls,获取详情页信息
+            for detail_url in detail_urls:
+                scrape_detail(detail_url)
+                detail_info = parse_detail()
+                logging.info('detail info %s', detail_info)
+                save_data(detail_info)
+
+    finally:
+        browser.close()
+
+
+if __name__ == '__main__':
+    main()

Spider/Chapter07_动态渲染页面爬取/css位置偏移反爬样式分析/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 19:32
+@Usage : 
+@Desc :
+'''

Spider/Chapter07_动态渲染页面爬取/css位置偏移反爬样式分析/main1.py

@@ -0,0 +1,59 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 19:32
+@Usage : 
+@Desc :
+'''
+
+from selenium import webdriver
+from pyquery import PyQuery as pq
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.webdriver.support.wait import WebDriverWait
+import re
+
+
+# 解析名字，排序获得正确的顺序
+def parse_name(name_html):
+    chars = name_html('.char')
+    items = []
+    for char in chars.items():
+        items.append({
+            'text': char.text().strip(),
+            'left': int(re.search('(\d+)px', char.attr('style')).group(1))
+        })
+    items = sorted(items, key=lambda x: x['left'], reverse=False)
+    return ''.join([item.get('text') for item in items])
+
+
+# 判断如果是完整的就不进行下述操作
+def parse_name_whole(name_html):
+    has_whole = name_html('.whole')
+    if has_whole:
+        return name_html.text()
+    else:
+        chars = name_html('.char')
+        items = []
+        for char in chars.items():
+            items.append({
+                'text': char.text().strip(),
+                'left': int(re.search('(\d+)px', char.attr('style')).group(1))
+            })
+        items = sorted(items, key=lambda x: x['left'], reverse=False)
+        return ''.join([item.get('text') for item in items])
+
+
+browser = webdriver.Chrome()
+browser.get('https://antispider3.scrape.center/')
+WebDriverWait(browser, 10) \
+    .until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, '.item')))
+html = browser.page_source
+doc = pq(html)
+names = doc('.item .name')
+
+for name_html in names.items():
+    name = parse_name_whole(name_html)
+    print(name)
+browser.close()

Spider/Chapter07_动态渲染页面爬取/playwrightLearning/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 13:27
+@Usage : 
+@Desc :
+'''

Spider/Chapter07_动态渲染页面爬取/playwrightLearning/demo1基本使用.py

@@ -0,0 +1,40 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 13:34
+@Usage : playwright基本使用
+@Desc :
+@参考：https://github.dev/Python3WebSpider/PlaywrightTest
+'''
+
+# playwright既支持Pyppetter的异步模式，又支持selenium的同步模式
+import asyncio
+# 同步模式
+from playwright.sync_api import sync_playwright
+
+with sync_playwright() as p:
+    for browser_type in [p.chromium, p.firefox, p.webkit]:
+        browser = browser_type.launch(headless=False)
+        page = browser.new_page()
+        page.goto('https://www.baidu.com')
+        page.screenshot(path=f'screenshot-{browser_type.name}.png')
+        print(page.title())
+        browser.close()
+
+
+# 异步模式
+from playwright.async_api import async_playwright
+
+
+async def main():
+    async with async_playwright() as p:
+        for browser_type in [p.chromium, p.firefox, p.webkit]:
+            browser = await browser_type.launch(headless=False)
+            page = await browser.new_page()
+            await page.goto('https://www.baidu.com')
+            await page.screenshot(path=f'screenshot-{browser_type.name}.png')
+            print(await page.title())
+            await browser.close()
+
+asyncio.run(main())

Spider/Chapter07_动态渲染页面爬取/playwrightLearning/demo2代码生成.py

@@ -0,0 +1,34 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 14:00
+@Usage : 
+@Desc :playWright有一个强大的功能，是可以录制我们在浏览器中的操作并自动生成代码
+'''
+
+from playwright.sync_api import Playwright, sync_playwright, expect
+
+
+def run(playwright: Playwright) -> None:
+    browser = playwright.firefox.launch(headless=False)
+    # 这里使用context而不是browser，可以让每个context都是一个独立的上下文环境，资源隔离
+    context = browser.new_context()
+    page = context.new_page()
+    page.goto("https://www.baidu.com/")
+    page.locator("#kw").click()
+    page.locator("#kw").fill("python")
+    page.get_by_role("button", name="百度一下").click()
+    page.get_by_role("button", name="百度一下").click()
+    page.locator("#kw").click()
+    page.locator("#kw").fill("nba")
+    page.get_by_role("button", name="百度一下").click()
+    page.close()
+
+    # ---------------------
+    context.close()
+    browser.close()
+
+
+with sync_playwright() as playwright:
+    run(playwright)

Spider/Chapter07_动态渲染页面爬取/playwrightLearning/demo3移动端浏览器.py

@@ -0,0 +1,44 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 14:40
+@Usage : 
+@Desc :playwright还支持移动端浏览器
+'''
+
+import time
+from playwright.sync_api import sync_playwright
+
+# 模拟打开iPhone 12 Pro Max的safari浏览器
+with sync_playwright() as p:
+    iphone_12_pro_max = p.devices['iPhone 12 Pro Max']
+    browser = p.webkit.launch(headless=False)
+    context = browser.new_context(
+        **iphone_12_pro_max,
+        locale='zh-CN',
+    )
+    page = context.new_page()
+    page.goto('https://www.whatismybrowser.com/')
+    # 等待页面的某个状态完成，这里传入的state是networkidle，表示网络空闲状态
+    page.wait_for_load_state(state='networkidle')
+    page.screenshot(path='browser-info.png')
+    time.sleep(10)
+    browser.close()
+
+
+with sync_playwright() as p:
+    iphone_12_pro_max = p.devices['iPhone 12 Pro Max']
+    browser = p.webkit.launch(headless=False)
+    context = browser.new_context(
+        **iphone_12_pro_max,
+        locale='zh-CN',
+        geolocation={'longitude': 116.39014, 'latitude': 39.913904},
+        permissions=['geolocation']
+    )
+    page = context.new_page()
+    page.goto('https://amap.com')
+    page.wait_for_load_state(state='networkidle')
+    page.screenshot(path='location-iphone.png')
+    time.sleep(10)
+    browser.close()

Spider/Chapter07_动态渲染页面爬取/playwrightLearning/demo4常用操作.py

@@ -0,0 +1,100 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 15:12
+@Usage : 
+@Desc : playwright常用操作
+'''
+
+from playwright.sync_api import sync_playwright
+
+
+# 事件监听
+def on_response(response):
+    print(f'Statue {response.status}: {response.url}')
+
+
+# 截获ajax命令
+def on_response1(response):
+    if '/api/movie/' in response.url and response.status == 200:
+        print(response.json())
+
+
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    page = browser.new_page()
+    # 监听response时间，每次网络请求得到响应的时候会触发这个事件
+    # page.on('response', on_response)
+    page.on('response', on_response1)
+    page.goto('https://spa6.scrape.center/')
+    page.wait_for_load_state('networkidle')
+    browser.close()
+
+获取页面源代码
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    page = browser.new_page()
+    page.goto('https://spa6.scrape.center/')
+    page.wait_for_load_state('networkidle')
+    html = page.content()
+    print(html)
+    browser.close()
+
+# 获取节点内容
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    page = browser.new_page()
+    page.goto('https://spa6.scrape.center/')
+    page.wait_for_load_state('networkidle')
+    # 代表查找class为name的a节点，第二个参数传href表示获取超链接的内容
+    href = page.get_attribute('a.name', 'href')
+    print(href)
+    browser.close()
+
+# 获取多个节点
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    page = browser.new_page()
+    page.goto('https://spa6.scrape.center/')
+    page.wait_for_load_state('networkidle')
+    elements = page.query_selector_all('a.name')
+    for element in elements:
+        print(element.get_attribute('href'))
+        print(element.text_content())
+    browser.close()
+
+# 网络拦截
+import re
+
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    page = browser.new_page()
+
+
+    def canel_request(route, request):
+        route.abort()
+
+
+    page.route(re.compile(r"(\.png)|(\.jpg)"), canel_request)
+    page.goto("https://spa6.scrape.center/")
+    page.wait_for_load_state("networkidle")
+    page.screenshot(path='no_picture.png')
+    browser.close()
+
+# 拦截之后填充自己的
+import time
+
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    page = browser.new_page()
+
+
+    def modify_response(route, request):
+        route.fulfill(path="./custom_response.html")
+
+
+    page.route('/', modify_response)
+    page.goto("https://spa6.scrape.center/")
+    time.sleep(10)
+    browser.close()

Spider/Chapter07_动态渲染页面爬取/playwrightLearning/script.py

@@ -0,0 +1,24 @@
+from playwright.sync_api import Playwright, sync_playwright, expect
+
+
+def run(playwright: Playwright) -> None:
+    browser = playwright.firefox.launch(headless=False)
+    context = browser.new_context()
+    page = context.new_page()
+    page.goto("https://www.baidu.com/")
+    page.locator("#kw").click()
+    page.locator("#kw").fill("python")
+    page.get_by_role("button", name="百度一下").click()
+    page.get_by_role("button", name="百度一下").click()
+    page.locator("#kw").click()
+    page.locator("#kw").fill("nba")
+    page.get_by_role("button", name="百度一下").click()
+    page.close()
+
+    # ---------------------
+    context.close()
+    browser.close()
+
+
+with sync_playwright() as playwright:
+    run(playwright)

Spider/Chapter07_动态渲染页面爬取/seleniumLearning/demo3.py

@@ -20,3 +20,4 @@ input.clear()  # 清空文字
 input.send_keys('iPad')
 button = browser.find_element(By.CLASS_NAME, 'btn-search')
 button.click()  # 点击搜索
+

Spider/Chapter07_动态渲染页面爬取/字体反爬案例分析与爬取实战/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 20:07
+@Usage : 
+@Desc :
+'''

Spider/Chapter07_动态渲染页面爬取/字体反爬案例分析与爬取实战/main1.py

@@ -0,0 +1,28 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 20:07
+@Usage : 
+@Desc :字体反扒测试
+'''
+
+from selenium import webdriver
+from pyquery import PyQuery as pq
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.webdriver.support.wait import WebDriverWait
+
+browser = webdriver.Chrome()
+browser.get('https://antispider4.scrape.center/')
+WebDriverWait(browser, 10) \
+    .until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, '.item')))
+html = browser.page_source
+doc = pq(html)
+items = doc('.item')
+for item in items.items():
+    name = item('.name').text()
+    categories = [o.text() for o in item('.categories button').items()]
+    score = item('.score').text()
+    print(f'name: {name} categories: {categories} score: {score}')
+browser.close()

Spider/Chapter07_动态渲染页面爬取/字体反爬案例分析与爬取实战/main2.py

@@ -0,0 +1,20 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 20:20
+@Usage : 
+@Desc :尝试解析对应的css源文件，来获取对应的我们想要的
+'''
+
+import re
+import requests
+url = 'https://antispider4.scrape.center/css/app.654ba59e.css'
+
+
+response = requests.get(url)
+pattern = re.compile('.icon-(.*?):before\{content:"(.*?)"\}')
+results = re.findall(pattern, response.text)
+icon_map = {item[0]: item[1] for item in results}
+print(icon_map['789'])
+print(icon_map['437'])

Spider/Chapter07_动态渲染页面爬取/字体反爬案例分析与爬取实战/main3.py

@@ -0,0 +1,49 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/7 20:22
+@Usage : 
+@Desc :
+'''
+
+from selenium import webdriver
+from pyquery import PyQuery as pq
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.webdriver.support.wait import WebDriverWait
+import re
+import requests
+url = 'https://antispider4.scrape.center/css/app.654ba59e.css'
+
+
+response = requests.get(url)
+pattern = re.compile('.icon-(.*?):before\{content:"(.*?)"\}')
+results = re.findall(pattern, response.text)
+icon_map = {item[0]: item[1] for item in results}
+
+
+def parse_score(item):
+    elements = item('.icon')
+    icon_values = []
+    for element in elements.items():
+        class_name = (element.attr('class'))
+        icon_key = re.search('icon-(\d+)', class_name).group(1)
+        icon_value = icon_map.get(icon_key)
+        icon_values.append(icon_value)
+    return ''.join(icon_values)
+
+
+browser = webdriver.Chrome()
+browser.get('https://antispider4.scrape.center/')
+WebDriverWait(browser, 10) \
+    .until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, '.item')))
+html = browser.page_source
+doc = pq(html)
+items = doc('.item')
+for item in items.items():
+    name = item('.name').text()
+    categories = [o.text() for o in item('.categories button').items()]
+    score = parse_score(item)
+    print(f'name: {name} categories: {categories} score: {score}')
+browser.close()

Spider/Chapter08_验证码的识别/OCR技术识别图形验证码/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 17:17
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/OCR技术识别图形验证码/demo1识别测试.py

@@ -0,0 +1,16 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 19:31
+@Usage : 
+@Desc :
+'''
+
+import tesserocr
+from PIL import Image
+
+
+image = Image.open('image.png')
+result = tesserocr.image_to_text(image)
+print(result) # 打印：19 b 2

Spider/Chapter08_验证码的识别/OCR技术识别图形验证码/demo2处理验证码.py

@@ -0,0 +1,26 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 19:35
+@Usage : 
+@Desc :
+'''
+import tesserocr
+from PIL import Image
+import numpy as np
+
+image = Image.open('image.png')
+
+print(np.array(image).shape)
+print(image.mode)
+
+image = image.convert('L')
+threshold = 100
+array = np.array(image)
+
+array = np.where(array > threshold, 255, 0)
+image = Image.fromarray(array.astype('uint8'))
+
+# image.show()
+print(tesserocr.image_to_text(image))

Spider/Chapter08_验证码的识别/OCR技术识别图形验证码/demo3爬取实战.py

@@ -0,0 +1,65 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 19:53
+@Usage : 
+@Desc :  尝试使用selenium和ocr技术去爬取 https://captcha7.scrape.center/
+@参考:https://github.com/Python3WebSpider/CrackImageCaptcha/blob/master/main.py
+'''
+
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support.wait import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.common.exceptions import TimeoutException
+from io import BytesIO
+from PIL import Image
+import numpy as np
+import tesserocr
+import re
+from retrying import retry
+import time
+
+browser = webdriver.Chrome()
+
+
+# 预处理，提高图片识别率
+def preProcess(image):
+    image = image.convert('L')
+    array = np.array(image)
+    array = np.where(array > 50, 255, 0)
+    return Image.fromarray(array.astype('uint8'))
+
+
+@retry(stop_max_attempt_number=10, retry_on_result=lambda x: x is False)
+def login():
+    browser.get('https://captcha7.scrape.center/')
+    # send_keys输入
+    browser.find_element(By.CSS_SELECTOR, ".username input[type='text']").send_keys('admin')
+    browser.find_element(By.CSS_SELECTOR, ".password input[type='password']").send_keys('admin')
+    captcha = browser.find_element(By.CSS_SELECTOR, "#captcha")
+    image = Image.open(BytesIO(captcha.screenshot_as_png))
+    print("处理前：",tesserocr.image_to_text(image))
+    # 预处理提高识别率
+    # image = preProcess(image)
+    # captcha = tesserocr.image_to_text(image)
+    # 模式匹配，消除空格等
+    captcha=tesserocr.image_to_text(image)
+    print("处理后:",captcha)
+    captcha = re.sub(' ', '', captcha)
+    print("模式匹配后",captcha)
+    browser.find_element(By.CSS_SELECTOR, ".captcha input[type='text']").send_keys(captcha)
+    # 点击登录
+    browser.find_element(By.CSS_SELECTOR, '.login').click()
+    try:
+        WebDriverWait(browser, 10).until(EC.presence_of_element_located((By.XPATH, '//h2[contains(.,"登录成功")]')))
+        time.sleep(5)
+        browser.close()
+        return True
+    except TimeoutException:
+        return False
+
+
+if __name__ == '__main__':
+    login()

Spider/Chapter08_验证码的识别/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 17:17
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/opencv识别滑动验证码缺口/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 20:49
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/opencv识别滑动验证码缺口/demo1缺口识别.py

@@ -0,0 +1,85 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/11 20:59
+@Usage : 
+@Desc :
+@参考：https://github.com/Python3WebSpider/CrackSlideCaptcha/blob/cv/main.py
+'''
+
+import cv2
+
+GAUSSIAN_BLUR_KERNEL_SIZE = (5, 5)
+GAUSSIAN_BLUR_SIGMA_X = 0
+CANNY_THRESHOLD1 = 200
+CANNY_THRESHOLD2 = 450
+
+
+# 得到高斯滤波之后的图
+def get_gaussian_blur_image(image):
+    return cv2.GaussianBlur(image, GAUSSIAN_BLUR_KERNEL_SIZE, GAUSSIAN_BLUR_SIGMA_X)
+
+
+# 得到边缘检测之后的图
+def get_canny_image(image):
+    return cv2.Canny(image, CANNY_THRESHOLD1, CANNY_THRESHOLD2)
+
+
+# 得到轮廓信息，会保留比较明显的边缘信息
+def get_contours(image):
+    contours, _ = cv2.findContours(image, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
+    return contours
+
+
+# 得到轮廓的上下限:
+# 外接矩形的高度和宽度是通过实际测量得出来的，高约0.25，宽约0.15
+# 缺口有一个最大偏移量和最小偏移量，最小偏移量是验证码宽度的0.2倍，最大是0.85倍
+
+#面积阈值
+def get_contour_area_threshold(image_width, image_height):
+    contour_area_min = (image_width * 0.15) * (image_height * 0.25) * 0.8
+    contour_area_max = (image_width * 0.15) * (image_height * 0.25) * 1.2
+    return contour_area_min, contour_area_max
+
+# 周长阈值
+def get_arc_length_threshold(image_width, image_height):
+    arc_length_min = ((image_width * 0.15) + (image_height * 0.25)) * 2 * 0.8
+    arc_length_max = ((image_width * 0.15) + (image_height * 0.25)) * 2 * 1.2
+    return arc_length_min, arc_length_max
+
+# offset阈值
+def get_offset_threshold(image_width):
+    offset_min = 0.2 * image_width
+    offset_max = 0.85 * image_width
+    return offset_min, offset_max
+
+
+def main():
+    # 长,宽,channel
+    image_raw = cv2.imread('captcha.png')
+    image_height, image_width, _ = image_raw.shape
+    image_gaussian_blur = get_gaussian_blur_image(image_raw)
+    # 长，宽   黑白的没有channel
+    image_canny = get_canny_image(image_gaussian_blur)
+    contours = get_contours(image_canny)
+    cv2.imwrite('image_canny.png', image_canny)
+    cv2.imwrite('image_gaussian_blur.png', image_gaussian_blur)
+    contour_area_min, contour_area_max = get_contour_area_threshold(image_width, image_height)
+    arc_length_min, arc_length_max = get_arc_length_threshold(image_width, image_height)
+    offset_min, offset_max = get_offset_threshold(image_width)
+    offset = None
+    for contour in contours:
+        # 计算外接矩形的x,y起始点位置;w,h宽和高
+        x, y, w, h = cv2.boundingRect(contour)
+        if contour_area_min < cv2.contourArea(contour) < contour_area_max and \
+                arc_length_min < cv2.arcLength(contour, True) < arc_length_max and \
+                offset_min < x < offset_max:
+            cv2.rectangle(image_raw, (x, y), (x + w, y + h), (0, 0, 255), 2)
+            offset = x
+    cv2.imwrite('image_label.png', image_raw)
+    print('offset', offset)
+
+
+if __name__ == '__main__':
+    main()

Spider/Chapter08_验证码的识别/使用打码平台识别验证码/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 16:49
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/使用打码平台识别验证码/chaojiying.py

@@ -0,0 +1,53 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 16:49
+@Usage : 
+@Desc :  基于超级鹰官网SDK改写的
+'''
+import requests
+from hashlib import md5
+
+
+class Chaojiying(object):
+
+    def __init__(self, username, password, soft_id):
+        self.username = username
+        self.password = md5(password.encode('utf-8')).hexdigest()
+        self.soft_id = soft_id
+        self.base_params = {
+            'user': self.username,
+            'pass2': self.password,
+            'softid': self.soft_id,  # 软件ID,需要到超级鹰后台的"软件ID"中获取
+        }
+        self.headers = {
+            'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
+        }
+
+    # 上传验证码并获取识别结果
+    def post_pic(self, im, codetype):
+        """
+        im: 图片字节
+        codetype: 题目类型 参考 http://www.chaojiying.com/price.html
+        """
+        params = {
+            'codetype': codetype,
+        }
+        params.update(self.base_params)
+        files = {'userfile': ('ccc.jpg', im)}
+        r = requests.post('http://upload.chaojiying.net/Upload/Processing.php', data=params, files=files,
+                          headers=self.headers)
+        return r.json()
+
+    # 用于上报识别错误，识别错误时不扣题分
+    def report_error(self, im_id):
+        """
+        im_id:报错题目的图片ID
+        """
+        params = {
+            'id': im_id,
+        }
+        params.update(self.base_params)
+        r = requests.post('http://upload.chaojiying.net/Upload/ReportError.php', data=params, headers=self.headers)
+        return r.json()

Spider/Chapter08_验证码的识别/使用打码平台识别验证码/demo1_图形验证码.py

@@ -0,0 +1,19 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 16:55
+@Usage : 
+@Desc :
+'''
+
+from chaojiying import Chaojiying
+
+USERNAME = 'Germey'
+PASSWORD = ''
+SOFT_ID = '915502'
+CAPTCHA_KIND = '1006'
+FILE_NAME = 'captcha1.png'
+client = Chaojiying(USERNAME, PASSWORD, SOFT_ID)
+result = client.post_pic(open(FILE_NAME, 'rb').read(), CAPTCHA_KIND)
+print(result)

Spider/Chapter08_验证码的识别/使用打码平台识别验证码/demo2_点选验证码.py

@@ -0,0 +1,26 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 16:57
+@Usage : 
+@Desc :
+'''
+
+from chaojiying import Chaojiying
+
+# USERNAME = 'Germey'
+# PASSWORD = ''
+# SOFT_ID = '915502'
+# CAPTCHA_KIND = '9004'
+# FILE_NAME = 'captcha2.png'
+# client = Chaojiying(USERNAME, PASSWORD, SOFT_ID)
+# result = client.post_pic(open(FILE_NAME, 'rb').read(), CAPTCHA_KIND)
+# print(result)
+
+import cv2
+
+image = cv2.imread('captcha2.png')
+image = cv2.circle(image, (108, 133), radius=10, color=(0, 0, 255), thickness=-1)
+image = cv2.circle(image, (227, 143), radius=10, color=(0, 0, 255), thickness=-1)
+cv2.imwrite('captcha2_label.png', image)

Spider/Chapter08_验证码的识别/收集验证码自动化处理/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 19:42
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/收集验证码自动化处理/demo1_Flask接受手机端短信.py

@@ -0,0 +1,23 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 19:43
+@Usage : 
+@Desc :
+'''
+
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+
+@app.route('/sms', methods=['POST'])
+def receive():
+    sms_content = request.form.get('content')
+    print(sms_content)
+    return jsonify(status='success')
+
+
+if __name__ == '__main__':
+    app.run(debug=True)

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 12:49
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/dataset.py

@@ -0,0 +1,58 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 12:53
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import os
+from torch.utils.data import DataLoader, Dataset
+import torchvision.transforms as transforms
+from PIL import Image
+import encoding as ohe
+import setting
+
+
+class mydataset(Dataset):
+
+    def __init__(self, folder, transform=None):
+        self.train_image_file_paths = [os.path.join(folder, image_file) for image_file in os.listdir(folder)]
+        self.transform = transform
+
+    def __len__(self):
+        return len(self.train_image_file_paths)
+
+    def __getitem__(self, idx):
+        image_root = self.train_image_file_paths[idx]
+        image_name = image_root.split(os.path.sep)[-1]
+        image = Image.open(image_root)
+        if self.transform is not None:
+            image = self.transform(image)
+        label = ohe.encode(image_name.split('_')[0])
+        return image, label
+
+
+transform = transforms.Compose([
+    # transforms.ColorJitter(),
+    transforms.Grayscale(),
+    transforms.ToTensor(),
+    # transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
+])
+
+
+def get_train_data_loader():
+    dataset = mydataset(setting.TRAIN_DATASET_PATH, transform=transform)
+    return DataLoader(dataset, batch_size=64, shuffle=True)
+
+
+def get_eval_data_loader():
+    dataset = mydataset(setting.EVAL_DATASET_PATH, transform=transform)
+    return DataLoader(dataset, batch_size=1, shuffle=True)
+
+
+def get_predict_data_loader():
+    dataset = mydataset(setting.PREDICT_DATASET_PATH, transform=transform)
+    return DataLoader(dataset, batch_size=1, shuffle=True)

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/encoding.py

@@ -0,0 +1,65 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 12:54
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import numpy as np
+import setting
+
+
+def encode(text):
+    vector = np.zeros(setting.ALL_CHAR_SET_LEN * setting.MAX_CAPTCHA, dtype=float)
+
+    def char2pos(c):
+        if c == '_':
+            k = 62
+            return k
+        # ord()用来返回单个字符的ascii值(0-255)获取unicode值
+        # chr()用来返回一个【0-255】数值对应的ascii符号
+        # 48,65,97分别是0,A,a的ascii值
+        # 等价于ord(c)-ord(0)
+        k = ord(c) - 48
+        if k > 9:
+            # >9说明不是字母，+10是因为0-9位数字
+            k = ord(c) - 65 + 10
+            if k > 35:
+                # +26是因为大写字母有26位
+                k = ord(c) - 97 + 26 + 10
+                if k > 61:
+                    raise ValueError('error')
+        return k
+
+    for i, c in enumerate(text):
+        idx = i * setting.ALL_CHAR_SET_LEN + char2pos(c)
+        vector[idx] = 1.0
+    return vector
+
+
+def decode(vec):
+    char_pos = vec.nonzero()[0]
+    text = []
+    for i, c in enumerate(char_pos):
+        char_at_pos = i  # c/63
+        char_idx = c % setting.ALL_CHAR_SET_LEN
+        if char_idx < 10:
+            char_code = char_idx + ord('0')
+        elif char_idx < 36:
+            char_code = char_idx - 10 + ord('A')
+        elif char_idx < 62:
+            char_code = char_idx - 36 + ord('a')
+        elif char_idx == 62:
+            char_code = ord('_')
+        else:
+            raise ValueError('error')
+        text.append(chr(char_code))
+    return "".join(text)
+
+
+if __name__ == '__main__':
+    e = encode("BK7H")
+    print(decode(e))

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/evaluate.py

@@ -0,0 +1,57 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 13:41
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import numpy as np
+import torch
+from torch.autograd import Variable
+import setting
+import dataset
+from model import CNN
+import encoding
+
+
+def main(model_path):
+    cnn = CNN()
+    cnn.eval()
+    cnn.load_state_dict(torch.load(model_path))
+    print("load cnn net.")
+
+    eval_dataloader = dataset.get_eval_data_loader()
+
+    correct = 0
+    total = 0
+    for i, (images, labels) in enumerate(eval_dataloader):
+        image = images
+        vimage = Variable(image)
+        predict_label = cnn(vimage)
+
+        c0 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, 0:setting.ALL_CHAR_SET_LEN].data.numpy())]
+        c1 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, setting.ALL_CHAR_SET_LEN:2 * setting.ALL_CHAR_SET_LEN].data.numpy())]
+        c2 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, 2 * setting.ALL_CHAR_SET_LEN:3 * setting.ALL_CHAR_SET_LEN].data.numpy())]
+        c3 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, 3 * setting.ALL_CHAR_SET_LEN:4 * setting.ALL_CHAR_SET_LEN].data.numpy())]
+        predict_label = '%s%s%s%s' % (c0, c1, c2, c3)
+        true_label = encoding.decode(labels.numpy()[0])
+        total += labels.size(0)
+        if (predict_label == true_label):
+            correct += 1
+        if (total % 200 == 0):
+            print('Test Accuracy of the model on the %d eval images: %f %%' %
+                  (total, 100 * correct / total))
+    print('Test Accuracy of the model on the %d eval images: %f %%' %
+          (total, 100 * correct / total))
+    return correct / total
+
+
+if __name__ == '__main__':
+    main()

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/generate.py

@@ -0,0 +1,45 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 13:30
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+from captcha.image import ImageCaptcha  # pip install captcha
+from PIL import Image
+import random
+import time
+import setting
+import os
+
+
+def generate_captcha_text():
+    captcha_text = []
+    for i in range(setting.MAX_CAPTCHA):
+        c = random.choice(setting.ALL_CHAR_SET)
+        captcha_text.append(c)
+    return ''.join(captcha_text)
+
+
+def generate_captcha_text_and_image():
+    image = ImageCaptcha()
+    captcha_text = generate_captcha_text()
+    captcha_image = Image.open(image.generate(captcha_text))
+    return captcha_text, captcha_image
+
+
+if __name__ == '__main__':
+    # 生成3000张验证集
+    count = 3000
+    path = setting.PREDICT_DATASET_PATH
+    if not os.path.exists(path):
+        os.makedirs(path)
+    for i in range(count):
+        now = str(int(time.time()))
+        text, image = generate_captcha_text_and_image()
+        filename = text + '_' + now + '.png'
+        image.save(path + os.path.sep + filename)
+        print('saved %d : %s' % (i + 1, filename))

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/model.py

@@ -0,0 +1,55 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 13:36
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import torch.nn as nn
+import setting
+
+
+# CNN Model (2 conv layer)
+class CNN(nn.Module):
+    def __init__(self):
+        super(CNN, self).__init__()
+        self.layer1 = nn.Sequential(
+            nn.Conv2d(1, 32, kernel_size=3, padding=1),
+            nn.BatchNorm2d(32),
+            nn.Dropout(0.5),  # drop 50% of the neuron
+            nn.ReLU(),
+            nn.MaxPool2d(2))
+        self.layer2 = nn.Sequential(
+            nn.Conv2d(32, 64, kernel_size=3, padding=1),
+            nn.BatchNorm2d(64),
+            nn.Dropout(0.5),  # drop 50% of the neuron
+            nn.ReLU(),
+            nn.MaxPool2d(2))
+        self.layer3 = nn.Sequential(
+            nn.Conv2d(64, 64, kernel_size=3, padding=1),
+            nn.BatchNorm2d(64),
+            nn.Dropout(0.5),  # drop 50% of the neuron
+            nn.ReLU(),
+            nn.MaxPool2d(2))
+        self.fc = nn.Sequential(
+            # 除以8是因为MaxPool2d了3次
+            nn.Linear((setting.IMAGE_WIDTH // 8) * (setting.IMAGE_HEIGHT // 8) * 64, 1024),
+            nn.Dropout(0.5),  # drop 50% of the neuron
+            nn.ReLU())
+        self.rfc = nn.Sequential(
+            # setting.MAX_CAPTCHA * setting.ALL_CHAR_SET_LEN是字典集的长度
+            nn.Linear(1024, setting.MAX_CAPTCHA * setting.ALL_CHAR_SET_LEN),
+        )
+
+    def forward(self, x):
+        out = self.layer1(x)
+        out = self.layer2(out)
+        out = self.layer3(out)
+        # flatten展平
+        out = out.view(out.size(0), -1)
+        out = self.fc(out)
+        out = self.rfc(out)
+        return out

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/predict.py

@@ -0,0 +1,53 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 15:03
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import numpy as np
+import torch
+from torch.autograd import Variable
+# from visdom import Visdom # pip install Visdom
+import setting
+import dataset
+from model import CNN
+import encoding as encode
+
+
+def main():
+    cnn = CNN()
+    cnn.eval()
+    cnn.load_state_dict(torch.load('./output/best_model.pkl', map_location=torch.device('cpu')))
+    print("load cnn net.")
+
+    predict_dataloader = dataset.get_predict_data_loader()
+
+    # vis = Visdom()
+    correct = 0
+    for i, (images, labels) in enumerate(predict_dataloader):
+        image = images
+        vimage = Variable(image)
+        predict_label = cnn(vimage)
+        actual_label = encode.decode(labels[0].numpy())
+
+        c0 = setting.ALL_CHAR_SET[np.argmax(predict_label[0, 0:setting.ALL_CHAR_SET_LEN].data.numpy())]
+        c1 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, setting.ALL_CHAR_SET_LEN:2 * setting.ALL_CHAR_SET_LEN].data.numpy())]
+        c2 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, 2 * setting.ALL_CHAR_SET_LEN:3 * setting.ALL_CHAR_SET_LEN].data.numpy())]
+        c3 = setting.ALL_CHAR_SET[np.argmax(
+            predict_label[0, 3 * setting.ALL_CHAR_SET_LEN:4 * setting.ALL_CHAR_SET_LEN].data.numpy())]
+        correct += 1 if "".join([c0, c1, c2, c3]) == actual_label else 0
+        c = '%s%s%s%s' % (c0, c1, c2, c3)
+        print(f"predict:{c},actual:{actual_label}")
+        # vis.images(image, opts=dict(caption=c))
+    print(f"total:{len(predict_dataloader)},correct:{correct}")
+    # 经过测试，最终正确率约74%，total:3000,correct:2233
+
+
+if __name__ == '__main__':
+    main()

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/setting.py

@@ -0,0 +1,29 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 12:54
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import os
+
+# 验证码中的字符
+# string.digits + string.ascii_uppercase
+NUMBER = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
+ALPHABET = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U',
+            'V', 'W', 'X', 'Y', 'Z']
+
+ALL_CHAR_SET = NUMBER + ALPHABET
+ALL_CHAR_SET_LEN = len(ALL_CHAR_SET)
+MAX_CAPTCHA = 4
+
+# 图像大小
+IMAGE_HEIGHT = 60
+IMAGE_WIDTH = 160
+
+TRAIN_DATASET_PATH = 'dataset' + os.path.sep + 'train'
+EVAL_DATASET_PATH = 'dataset' + os.path.sep + 'eval'
+PREDICT_DATASET_PATH = 'dataset' + os.path.sep + 'predict'

Spider/Chapter08_验证码的识别/深度学习识别图形验证码/train.py

@@ -0,0 +1,66 @@
+# -*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 13:40
+@Usage : 
+@Desc :
+'''
+
+# -*- coding: UTF-8 -*-
+import torch
+import torch.nn as nn
+from torch.autograd import Variable
+import dataset
+from model import CNN
+from evaluate import main as evaluate
+import os
+import os.path
+
+num_epochs = 30
+batch_size = 100
+learning_rate = 0.001
+
+output = './output'
+os.path.exists(output) or os.makedirs(output)
+
+
+def main():
+    cnn = CNN()
+    cnn.train()
+
+    criterion = nn.MultiLabelSoftMarginLoss()
+    optimizer = torch.optim.Adam(cnn.parameters(), lr=learning_rate)
+    max_eval_acc = -1
+
+    train_dataloader = dataset.get_train_data_loader()
+    for epoch in range(num_epochs):
+        model_path = os.path.join(output, "model.pkl")
+        for i, (images, labels) in enumerate(train_dataloader):
+            # 在这里变成可以torch梯度autograd的变量
+            images = Variable(images)
+            labels = Variable(labels.float())
+            predict_labels = cnn(images)
+            loss = criterion(predict_labels, labels)
+            optimizer.zero_grad()
+            loss.backward()
+            optimizer.step()
+            if (i + 1) % 10 == 0:
+                print("epoch:", epoch, "step:", i, "loss:", loss.item())
+
+
+
+        print("epoch:", epoch, "step:", i, "loss:", loss.item())
+        torch.save(cnn.state_dict(), model_path)
+        print("save model")
+        eval_acc = evaluate(model_path)
+        if eval_acc > max_eval_acc:
+            # best model save as best_model.pkl
+            torch.save(cnn.state_dict(), os.path.join(output, "best_model.pkl"))
+            print("save best model")
+    torch.save(cnn.state_dict(), os.path.join(output, "model.pkl"))
+    print("save last model")
+
+
+if __name__ == '__main__':
+    main()

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/.gitignore

@@ -0,0 +1,19 @@
+#checkpoints/
+.DS_Store
+build
+.git
+*.egg-info
+dist
+output
+data/coco
+backup
+weights/*.weights
+weights/*
+__pycache__
+
+/.idea
+
+/logs
+data/captcha/images/*.xml
+
+.vscode/

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/LICENSE

@@ -0,0 +1,674 @@
+GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+  "The Program" refers to any copyrightable work licensed under this
+License.  Each licensee is addressed as "you".  "Licensees" and
+"recipients" may be individuals or organizations.
+
+  To "modify" a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy.  The resulting work is called a "modified version" of the
+earlier work or a work "based on" the earlier work.
+
+  A "covered work" means either the unmodified Program or a work based
+on the Program.
+
+  To "propagate" a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy.  Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
+
+  To "convey" a work means any kind of propagation that enables other
+parties to make or receive copies.  Mere interaction with a user through
+a computer network, with no transfer of a copy, is not conveying.
+
+  An interactive user interface displays "Appropriate Legal Notices"
+to the extent that it includes a convenient and prominently visible
+feature that (1) displays an appropriate copyright notice, and (2)
+tells the user that there is no warranty for the work (except to the
+extent that warranties are provided), that licensees may convey the
+work under this License, and how to view a copy of this License.  If
+the interface presents a list of user commands or options, such as a
+menu, a prominent item in the list meets this criterion.
+
+  1. Source Code.
+
+  The "source code" for a work means the preferred form of the work
+for making modifications to it.  "Object code" means any non-source
+form of a work.
+
+  A "Standard Interface" means an interface that either is an official
+standard defined by a recognized standards body, or, in the case of
+interfaces specified for a particular programming language, one that
+is widely used among developers working in that language.
+
+  The "System Libraries" of an executable work include anything, other
+than the work as a whole, that (a) is included in the normal form of
+packaging a Major Component, but which is not part of that Major
+Component, and (b) serves only to enable use of the work with that
+Major Component, or to implement a Standard Interface for which an
+implementation is available to the public in source code form.  A
+"Major Component", in this context, means a major essential component
+(kernel, window system, and so on) of the specific operating system
+(if any) on which the executable work runs, or a compiler used to
+produce the work, or an object code interpreter used to run it.
+
+  The "Corresponding Source" for a work in object code form means all
+the source code needed to generate, install, and (for an executable
+work) run the object code and to modify the work, including scripts to
+control those activities.  However, it does not include the work's
+System Libraries, or general-purpose tools or generally available free
+programs which are used unmodified in performing those activities but
+which are not part of the work.  For example, Corresponding Source
+includes interface definition files associated with source files for
+the work, and the source code for shared libraries and dynamically
+linked subprograms that the work is specifically designed to require,
+such as by intimate data communication or control flow between those
+subprograms and other parts of the work.
+
+  The Corresponding Source need not include anything that users
+can regenerate automatically from other parts of the Corresponding
+Source.
+
+  The Corresponding Source for a work in source code form is that
+same work.
+
+  2. Basic Permissions.
+
+  All rights granted under this License are granted for the term of
+copyright on the Program, and are irrevocable provided the stated
+conditions are met.  This License explicitly affirms your unlimited
+permission to run the unmodified Program.  The output from running a
+covered work is covered by this License only if the output, given its
+content, constitutes a covered work.  This License acknowledges your
+rights of fair use or other equivalent, as provided by copyright law.
+
+  You may make, run and propagate covered works that you do not
+convey, without conditions so long as your license otherwise remains
+in force.  You may convey covered works to others for the sole purpose
+of having them make modifications exclusively for you, or provide you
+with facilities for running those works, provided that you comply with
+the terms of this License in conveying all material for which you do
+not control copyright.  Those thus making or running the covered works
+for you must do so exclusively on your behalf, under your direction
+and control, on terms that prohibit them from making any copies of
+your copyrighted material outside their relationship with you.
+
+  Conveying under any other circumstances is permitted solely under
+the conditions stated below.  Sublicensing is not allowed; section 10
+makes it unnecessary.
+
+  3. Protecting Users' Legal Rights From Anti-Circumvention Law.
+
+  No covered work shall be deemed part of an effective technological
+measure under any applicable law fulfilling obligations under article
+11 of the WIPO copyright treaty adopted on 20 December 1996, or
+similar laws prohibiting or restricting circumvention of such
+measures.
+
+  When you convey a covered work, you waive any legal power to forbid
+circumvention of technological measures to the extent such circumvention
+is effected by exercising rights under this License with respect to
+the covered work, and you disclaim any intention to limit operation or
+modification of the work as a means of enforcing, against the work's
+users, your or third parties' legal rights to forbid circumvention of
+technological measures.
+
+  4. Conveying Verbatim Copies.
+
+  You may convey verbatim copies of the Program's source code as you
+receive it, in any medium, provided that you conspicuously and
+appropriately publish on each copy an appropriate copyright notice;
+keep intact all notices stating that this License and any
+non-permissive terms added in accord with section 7 apply to the code;
+keep intact all notices of the absence of any warranty; and give all
+recipients a copy of this License along with the Program.
+
+  You may charge any price or no price for each copy that you convey,
+and you may offer support or warranty protection for a fee.
+
+  5. Conveying Modified Source Versions.
+
+  You may convey a work based on the Program, or the modifications to
+produce it from the Program, in the form of source code under the
+terms of section 4, provided that you also meet all of these conditions:
+
+    a) The work must carry prominent notices stating that you modified
+    it, and giving a relevant date.
+
+    b) The work must carry prominent notices stating that it is
+    released under this License and any conditions added under section
+    7.  This requirement modifies the requirement in section 4 to
+    "keep intact all notices".
+
+    c) You must license the entire work, as a whole, under this
+    License to anyone who comes into possession of a copy.  This
+    License will therefore apply, along with any applicable section 7
+    additional terms, to the whole of the work, and all its parts,
+    regardless of how they are packaged.  This License gives no
+    permission to license the work in any other way, but it does not
+    invalidate such permission if you have separately received it.
+
+    d) If the work has interactive user interfaces, each must display
+    Appropriate Legal Notices; however, if the Program has interactive
+    interfaces that do not display Appropriate Legal Notices, your
+    work need not make them do so.
+
+  A compilation of a covered work with other separate and independent
+works, which are not by their nature extensions of the covered work,
+and which are not combined with it such as to form a larger program,
+in or on a volume of a storage or distribution medium, is called an
+"aggregate" if the compilation and its resulting copyright are not
+used to limit the access or legal rights of the compilation's users
+beyond what the individual works permit.  Inclusion of a covered work
+in an aggregate does not cause this License to apply to the other
+parts of the aggregate.
+
+  6. Conveying Non-Source Forms.
+
+  You may convey a covered work in object code form under the terms
+of sections 4 and 5, provided that you also convey the
+machine-readable Corresponding Source under the terms of this License,
+in one of these ways:
+
+    a) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by the
+    Corresponding Source fixed on a durable physical medium
+    customarily used for software interchange.
+
+    b) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by a
+    written offer, valid for at least three years and valid for as
+    long as you offer spare parts or customer support for that product
+    model, to give anyone who possesses the object code either (1) a
+    copy of the Corresponding Source for all the software in the
+    product that is covered by this License, on a durable physical
+    medium customarily used for software interchange, for a price no
+    more than your reasonable cost of physically performing this
+    conveying of source, or (2) access to copy the
+    Corresponding Source from a network server at no charge.
+
+    c) Convey individual copies of the object code with a copy of the
+    written offer to provide the Corresponding Source.  This
+    alternative is allowed only occasionally and noncommercially, and
+    only if you received the object code with such an offer, in accord
+    with subsection 6b.
+
+    d) Convey the object code by offering access from a designated
+    place (gratis or for a charge), and offer equivalent access to the
+    Corresponding Source in the same way through the same place at no
+    further charge.  You need not require recipients to copy the
+    Corresponding Source along with the object code.  If the place to
+    copy the object code is a network server, the Corresponding Source
+    may be on a different server (operated by you or a third party)
+    that supports equivalent copying facilities, provided you maintain
+    clear directions next to the object code saying where to find the
+    Corresponding Source.  Regardless of what server hosts the
+    Corresponding Source, you remain obligated to ensure that it is
+    available for as long as needed to satisfy these requirements.
+
+    e) Convey the object code using peer-to-peer transmission, provided
+    you inform other peers where the object code and Corresponding
+    Source of the work are being offered to the general public at no
+    charge under subsection 6d.
+
+  A separable portion of the object code, whose source code is excluded
+from the Corresponding Source as a System Library, need not be
+included in conveying the object code work.
+
+  A "User Product" is either (1) a "consumer product", which means any
+tangible personal property which is normally used for personal, family,
+or household purposes, or (2) anything designed or sold for incorporation
+into a dwelling.  In determining whether a product is a consumer product,
+doubtful cases shall be resolved in favor of coverage.  For a particular
+product received by a particular user, "normally used" refers to a
+typical or common use of that class of product, regardless of the status
+of the particular user or of the way in which the particular user
+actually uses, or expects or is expected to use, the product.  A product
+is a consumer product regardless of whether the product has substantial
+commercial, industrial or non-consumer uses, unless such uses represent
+the only significant mode of use of the product.
+
+  "Installation Information" for a User Product means any methods,
+procedures, authorization keys, or other information required to install
+and execute modified versions of a covered work in that User Product from
+a modified version of its Corresponding Source.  The information must
+suffice to ensure that the continued functioning of the modified object
+code is in no case prevented or interfered with solely because
+modification has been made.
+
+  If you convey an object code work under this section in, or with, or
+specifically for use in, a User Product, and the conveying occurs as
+part of a transaction in which the right of possession and use of the
+User Product is transferred to the recipient in perpetuity or for a
+fixed term (regardless of how the transaction is characterized), the
+Corresponding Source conveyed under this section must be accompanied
+by the Installation Information.  But this requirement does not apply
+if neither you nor any third party retains the ability to install
+modified object code on the User Product (for example, the work has
+been installed in ROM).
+
+  The requirement to provide Installation Information does not include a
+requirement to continue to provide support service, warranty, or updates
+for a work that has been modified or installed by the recipient, or for
+the User Product in which it has been modified or installed.  Access to a
+network may be denied when the modification itself materially and
+adversely affects the operation of the network or violates the rules and
+protocols for communication across the network.
+
+  Corresponding Source conveyed, and Installation Information provided,
+in accord with this section must be in a format that is publicly
+documented (and with an implementation available to the public in
+source code form), and must require no special password or key for
+unpacking, reading or copying.
+
+  7. Additional Terms.
+
+  "Additional permissions" are terms that supplement the terms of this
+License by making exceptions from one or more of its conditions.
+Additional permissions that are applicable to the entire Program shall
+be treated as though they were included in this License, to the extent
+that they are valid under applicable law.  If additional permissions
+apply only to part of the Program, that part may be used separately
+under those permissions, but the entire Program remains governed by
+this License without regard to the additional permissions.
+
+  When you convey a copy of a covered work, you may at your option
+remove any additional permissions from that copy, or from any part of
+it.  (Additional permissions may be written to require their own
+removal in certain cases when you modify the work.)  You may place
+additional permissions on material, added by you to a covered work,
+for which you have or can give appropriate copyright permission.
+
+  Notwithstanding any other provision of this License, for material you
+add to a covered work, you may (if authorized by the copyright holders of
+that material) supplement the terms of this License with terms:
+
+    a) Disclaiming warranty or limiting liability differently from the
+    terms of sections 15 and 16 of this License; or
+
+    b) Requiring preservation of specified reasonable legal notices or
+    author attributions in that material or in the Appropriate Legal
+    Notices displayed by works containing it; or
+
+    c) Prohibiting misrepresentation of the origin of that material, or
+    requiring that modified versions of such material be marked in
+    reasonable ways as different from the original version; or
+
+    d) Limiting the use for publicity purposes of names of licensors or
+    authors of the material; or
+
+    e) Declining to grant rights under trademark law for use of some
+    trade names, trademarks, or service marks; or
+
+    f) Requiring indemnification of licensors and authors of that
+    material by anyone who conveys the material (or modified versions of
+    it) with contractual assumptions of liability to the recipient, for
+    any liability that these contractual assumptions directly impose on
+    those licensors and authors.
+
+  All other non-permissive additional terms are considered "further
+restrictions" within the meaning of section 10.  If the Program as you
+received it, or any part of it, contains a notice stating that it is
+governed by this License along with a term that is a further
+restriction, you may remove that term.  If a license document contains
+a further restriction but permits relicensing or conveying under this
+License, you may add to a covered work material governed by the terms
+of that license document, provided that the further restriction does
+not survive such relicensing or conveying.
+
+  If you add terms to a covered work in accord with this section, you
+must place, in the relevant source files, a statement of the
+additional terms that apply to those files, or a notice indicating
+where to find the applicable terms.
+
+  Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+  8. Termination.
+
+  You may not propagate or modify a covered work except as expressly
+provided under this License.  Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+  However, if you cease all violation of this License, then your
+license from a particular copyright holder is reinstated (a)
+provisionally, unless and until the copyright holder explicitly and
+finally terminates your license, and (b) permanently, if the copyright
+holder fails to notify you of the violation by some reasonable means
+prior to 60 days after the cessation.
+
+  Moreover, your license from a particular copyright holder is
+reinstated permanently if the copyright holder notifies you of the
+violation by some reasonable means, this is the first time you have
+received notice of violation of this License (for any work) from that
+copyright holder, and you cure the violation prior to 30 days after
+your receipt of the notice.
+
+  Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
+this License.  If your rights have been terminated and not permanently
+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+  9. Acceptance Not Required for Having Copies.
+
+  You are not required to accept this License in order to receive or
+run a copy of the Program.  Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance.  However,
+nothing other than this License grants you permission to propagate or
+modify any covered work.  These actions infringe copyright if you do
+not accept this License.  Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+  10. Automatic Licensing of Downstream Recipients.
+
+  Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License.  You are not responsible
+for enforcing compliance by third parties with this License.
+
+  An "entity transaction" is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
+organization, or merging organizations.  If propagation of a covered
+work results from an entity transaction, each party to that
+transaction who receives a copy of the work also receives whatever
+licenses to the work the party's predecessor in interest had or could
+give under the previous paragraph, plus a right to possession of the
+Corresponding Source of the work from the predecessor in interest, if
+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
+by this License, of making, using, or selling its contributor version,
+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
+purposes of this definition, "control" includes the right to grant
+patent sublicenses in a manner consistent with the requirements of
+this License.
+
+  Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
+make, use, sell, offer for sale, import and otherwise run, modify and
+propagate the contents of its contributor version.
+
+  In the following three paragraphs, a "patent license" is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Use with the GNU Affero General Public License.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU Affero General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the special requirements of the GNU Affero General Public License,
+section 13, concerning interaction through a network will apply to the
+combination as such.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU General Public License from time to time.  Such new versions will
+be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<http://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<http://www.gnu.org/philosophy/why-not-lgpl.html>.

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/README.md

@@ -0,0 +1,124 @@
+# 滑动验证码深度学习识别
+
+本项目使用深度学习 YOLOV3 模型来识别滑动验证码缺口，基于 [https://github.com/eriklindernoren/PyTorch-YOLOv3](https://github.com/eriklindernoren/PyTorch-YOLOv3) 修改。
+
+只需要几百张缺口标注图片即可训练出精度高的识别模型，识别效果样例：
+
+![](data/captcha/result/captcha_435.png)
+## 克隆项目
+
+运行命令：
+
+```
+git clone https://github.com/Python3WebSpider/DeepLearningSlideCaptcha2.git
+```
+
+## 数据准备
+
+使用 LabelImg 工具标注自行标注一批数据，大约 200 张以上即可训练出不错的效果。
+
+LabelImg：[https://github.com/tzutalin/labelImg](https://github.com/tzutalin/labelImg)
+
+标注要求：
+
+* 圈出验证码目标滑块区域的完整完整矩形，无需标注源滑块。
+* 目标矩形命名为 target 这个类别。
+* 建议使用 LabelImg 的快捷键提高标注效率。
+
+## 环境准备
+
+建议在 GPU 环境和虚拟 Python 环境下执行如下命令：
+
+```
+pip3 install -r requirements.txt
+```
+
+## 预训练模型下载
+
+YOLOV3 的训练要加载预训练模型才能有不错的训练效果，预训练模型下载：
+
+```
+bash prepare.sh
+```
+
+下载完成之后会在 weights 文件夹下出现模型权重文件，供训练使用。
+
+## 训练
+
+本项目已经提供了标注好的数据集，在 data/captcha，可以直接使用。
+
+如果要训练自己的数据，数据格式准备见：[https://github.com/eriklindernoren/PyTorch-YOLOv3#train-on-custom-dataset](https://github.com/eriklindernoren/PyTorch-YOLOv3#train-on-custom-dataset)。
+
+当前数据训练脚本：
+
+```
+bash train.sh
+```
+
+实测 P100 训练时长约 15 秒一个 epoch，大约几分钟即可训练出较好效果。
+
+## 测试
+
+训练完毕之后会在 checkpoints 文件夹生成 pth 文件，可直接使用模型来预测生成标注结果。
+
+此时 checkpoints 文件夹会生成训练好的 pth 文件。
+
+当前数据测试脚本：
+
+```
+sh detect.sh
+```
+
+该脚本会读取 captcha 下的 test 文件夹所有图片，并将处理后的结果输出到 test 文件夹。
+
+运行结果样例：
+
+```
+Performing object detection:
+        + Batch 0, Inference Time: 0:00:00.044223
+        + Batch 1, Inference Time: 0:00:00.028566
+        + Batch 2, Inference Time: 0:00:00.029764
+        + Batch 3, Inference Time: 0:00:00.032430
+        + Batch 4, Inference Time: 0:00:00.033373
+        + Batch 5, Inference Time: 0:00:00.027861
+        + Batch 6, Inference Time: 0:00:00.031444
+        + Batch 7, Inference Time: 0:00:00.032110
+        + Batch 8, Inference Time: 0:00:00.029131
+
+Saving images:
+(0) Image: 'data/captcha/test/captcha_4497.png'
+        + Label: target, Conf: 0.99999
+(1) Image: 'data/captcha/test/captcha_4498.png'
+        + Label: target, Conf: 0.99999
+(2) Image: 'data/captcha/test/captcha_4499.png'
+        + Label: target, Conf: 0.99997
+(3) Image: 'data/captcha/test/captcha_4500.png'
+        + Label: target, Conf: 0.99999
+(4) Image: 'data/captcha/test/captcha_4501.png'
+        + Label: target, Conf: 0.99997
+(5) Image: 'data/captcha/test/captcha_4502.png'
+        + Label: target, Conf: 0.99999
+(6) Image: 'data/captcha/test/captcha_4503.png'
+        + Label: target, Conf: 0.99997
+(7) Image: 'data/captcha/test/captcha_4504.png'
+        + Label: target, Conf: 0.99998
+(8) Image: 'data/captcha/test/captcha_4505.png'
+        + Label: target, Conf: 0.99998
+```
+
+样例结果：
+
+![](data/captcha/result/captcha_288.png)
+
+![](data/captcha/result/captcha_435.png)
+
+![](data/captcha/result/captcha_354.png)
+
+## 协议
+
+本项目基于开源 [GNU 协议](https://github.com/eriklindernoren/PyTorch-YOLOv3/blob/master/LICENSE)
+，另外本项目不提供任何有关滑动轨迹相关模拟和 JavaScript 逆向分析方案。
+
+本项目仅供学习交流使用，请勿用于非法用途，本人不承担任何法律责任。
+
+如有侵权请联系个人删除，谢谢。

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/__init__.py

@@ -0,0 +1,8 @@
+#-*- encoding:utf-8 -*-
+
+'''
+@Author : dingjiawen
+@Date : 2023/12/12 15:31
+@Usage : 
+@Desc :
+'''

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/checkpoints/.gitignore

@@ -0,0 +1,2 @@
+*
+!.gitignore

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/collect.py

@@ -0,0 +1,26 @@
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.common.exceptions import WebDriverException
+import time
+import logging as logger
+
+COUNT = 1000
+
+for i in range(0, COUNT + 1):
+    try:
+        browser = webdriver.Chrome()
+        wait = WebDriverWait(browser, 10)
+        browser.get('https://captcha1.scrape.center/')
+        button = wait.until(EC.element_to_be_clickable(
+            (By.CSS_SELECTOR, '.el-button')))
+        button.click()
+        captcha = wait.until(
+            EC.presence_of_element_located((By.CSS_SELECTOR, '.geetest_slicebg.geetest_absolute')))
+        time.sleep(5)
+        captcha.screenshot(f'data/captcha/images/captcha_{i}.png')
+    except WebDriverException as e:
+        logger.error(f'webdriver error occurred {e.msg}')
+    finally:
+        browser.close()

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/config/captcha.data

@@ -0,0 +1,4 @@
+classes= 1
+train=data/captcha/train.txt
+valid=data/captcha/valid.txt
+names=data/captcha/classes.names

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/config/yolov3-captcha.cfg

@@ -0,0 +1,790 @@
+
+[net]
+# Testing
+#batch=1
+#subdivisions=1
+# Training
+batch=16
+subdivisions=1
+width=416
+height=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=1000
+max_batches = 500200
+policy=steps
+steps=400000,450000
+scales=.1,.1
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+######################
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=18
+activation=linear
+
+
+[yolo]
+mask = 6,7,8
+anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
+classes=1
+num=9
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 61
+
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=18
+activation=linear
+
+
+[yolo]
+mask = 3,4,5
+anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
+classes=1
+num=9
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 36
+
+
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=18
+activation=linear
+
+
+[yolo]
+mask = 0,1,2
+anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
+classes=1
+num=9
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+

Spider/Chapter08_验证码的识别/深度学习识别滑动验证码/data/captcha/classes.names

@@ -0,0 +1 @@
+target