image_path='slide_captcha.png'result=recognize_slide_captcha(image_path)print(result) 示例5:中文验证码识别 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importdddocr defrecognize_chinese_captcha(image_path):ocr=dddocr.DddOcr()result=ocr.classification(image_path,model_type='chinese')returnres...
image_path = 'letter_captcha.png' result = recognize_letter_captcha(image_path) print(result) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 示例2:数字验证码识别 import dddocr def recognize_number_captcha(image_path): ocr = dddocr.DddOcr() result = ocr.classification(image_path, model_type=...
screenshot = Image.open(BytesIO(image_data)) # 对截图进行裁剪 result = screenshot.crop((x, y, x + w, y + h)) # 显示图片 # result.show() # 保存验证码图片 result.save('VerifyCode.png') # 调用recognize方法识别验证码 code = recognize('VerifyCode.png') # 输入验证码 driver.find_ele...
image_path ='letter_captcha.png'result = recognize_letter_captcha(image_path)print(result) 示例2:数字验证码识别 importdddocrdefrecognize_number_captcha(image_path): ocr = dddocr.DddOcr() result = ocr.classification(image_path, model_type='number')returnresult image_path ='number_captcha.png'...
open(image_path) # 使用 Tesseract OCR 识别图像中的文本 captcha_text = pytesseract.image_to_string(image) return captcha_text.strip() # 示例用法 captcha_image_path = 'path_to_your_captcha_image.png' captcha_text = recognize_captcha(captcha_image_path) print(f'识别的验证码: {captcha_text}...
[self::input | self::textarea][not(((./@type = 'submit') or (./@type = 'image')) or (./@type = 'radio')) or (./@type = 'checkbox')) or (./@type = 'hidden')) or (./@type = 'file')))][(((./@id = 'Default') or (./@name = 'Default')) or (./@placehol...
screenshot = Image.open(BytesIO(image_data)) # 对截图进行裁剪 result = screenshot.crop((x, y, x + w, y + h)) # 显示图片 # result.show() # 保存验证码图片 result.save('VerifyCode.png') # 调用recognize方法识别验证码 code = recognize('VerifyCode.png') ...
Image<Bgr, Byte> image = new Image<Bgr, byte>(img); using (Image<Gray, byte> gray = image.Convert<Gray, Byte>()) { _ocr.Recognize(gray); Tesseract.Charactor[] charactors = _ocr.GetCharactors(); foreach (Tesseract.Charactor c in charactors) ...
string captchaImageUrl = captchaElement.GetAttribute("src"); 使用验证码识别库(如Tesseract OCR)对验证码图片进行识别,获取验证码文本,例如: 代码语言:txt 复制 string captchaText = RecognizeCaptchaText(captchaImageUrl); 将验证码文本输入到验证码输入框中,例如: 代码语言:txt 复制 captchaElement.SendKeys(c...
from test.util.test_pytesseract import recognize from PIL import Image import allure import unittest ''' /处理验证码 ''' # 要截图的元素 element = driver.find_element_by_xpath('//*[@id="imgVerifyCode"]') # 坐标 x, y = element.location.values() ...