preprocess/construct.py · Python3WebSpider/DeepLearningImageCaptcha2

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Python3WebSpider/DeepLearningImageCaptcha2

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DeepLearningImageCaptcha2

preprocess

construct.py

construct.py 1.37 KB

import cv2
import os
import numpy as np
from loguru import logger

CAPTCHA_WIDTH = 520
CAPTCHA_HEIGHT = 320

for root, dirs, files in os.walk('input'):
 for file in files:
 image_path = os.path.join(root, file)
 logger.debug(f'image path {image_path}')
 image = cv2.imread(image_path, cv2.IMREAD_UNCHANGED)
 image_height, image_width, image_dim = image.shape
 
 if image_dim == 3:
 b_channel, g_channel, r_channel = cv2.split(image)
 alpha_channel = np.ones(b_channel.shape, dtype=b_channel.dtype) * 255
 image = cv2.merge((b_channel, g_channel, r_channel, alpha_channel))
 
 if image_width / image_height > CAPTCHA_WIDTH / CAPTCHA_HEIGHT:
 image = cv2.resize(image, (int(CAPTCHA_HEIGHT * image_width / image_height), CAPTCHA_HEIGHT))
 image_height, image_width, _ = image.shape
 image = image[:, int(image_width / 2 - CAPTCHA_WIDTH / 2): int(image_width / 2 + CAPTCHA_WIDTH / 2)]
 else:
 image = cv2.resize(image, (CAPTCHA_WIDTH, int(CAPTCHA_WIDTH * image_height / image_width)))
 image_height, image_width, _ = image.shape
 image = image[int(image_height / 2 - CAPTCHA_HEIGHT / 2): int(image_height / 2 + CAPTCHA_HEIGHT / 2), :]
 
 cv2.imwrite(f'output/{file}', image)
 logger.debug(f'finish output/{file}')

一键复制编辑原始数据按行查看历史

Germey 提交于 2021年05月16日 01:22 +08:00 . update

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import cv2
import os
import numpy as np
from loguru import logger

CAPTCHA_WIDTH = 520
CAPTCHA_HEIGHT = 320

for root, dirs, files in os.walk('input'):
 for file in files:
 image_path = os.path.join(root, file)
 logger.debug(f'image path {image_path}')
 image = cv2.imread(image_path, cv2.IMREAD_UNCHANGED)
 image_height, image_width, image_dim = image.shape
 
 if image_dim == 3:
 b_channel, g_channel, r_channel = cv2.split(image)
 alpha_channel = np.ones(b_channel.shape, dtype=b_channel.dtype) * 255
 image = cv2.merge((b_channel, g_channel, r_channel, alpha_channel))
 
 if image_width / image_height > CAPTCHA_WIDTH / CAPTCHA_HEIGHT:
 image = cv2.resize(image, (int(CAPTCHA_HEIGHT * image_width / image_height), CAPTCHA_HEIGHT))
 image_height, image_width, _ = image.shape
 image = image[:, int(image_width / 2 - CAPTCHA_WIDTH / 2): int(image_width / 2 + CAPTCHA_WIDTH / 2)]
 else:
 image = cv2.resize(image, (CAPTCHA_WIDTH, int(CAPTCHA_WIDTH * image_height / image_width)))
 image_height, image_width, _ = image.shape
 image = image[int(image_height / 2 - CAPTCHA_HEIGHT / 2): int(image_height / 2 + CAPTCHA_HEIGHT / 2), :]
 
 cv2.imwrite(f'output/{file}', image)
 logger.debug(f'finish output/{file}')