tolist() def writeTxt(data,path): with open('%s.txt'%path,'w') as f: f.write('\n'.join([''.join([w for w in l]) for l in data])) if __name__ == "__main__": parser = argparse.ArgumentParser(description="Convert any image to ascii txt/excel.") parser.add_argument(...
defconvert_image_to_editable_docx(image_file, docx_file): # 读取图片并进行OCR识别 image=Image.open(image_file) # 使用pytesseract调用image_to_string方法进行识别,传入要识别的图片,lang='chi_sim'是设置为中文识别, text=pytesseract.image_to_string(image, lang='chi_sim') # 创建Word文档并插入文本...
code_name = 'test_code_img.jpg' save_dir = './{}'.format(code_name) image.save(save_dir, 'jpeg') print("已保存图片: {}".format(save_dir)) if __name__ == '__main__': zt = 'HKSN.ttf' str1 = '我爱你' char_img(zt,str1) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10....
from openpyxl.styles import PatternFill, Color#导入PatternFill,Color库用与操作Execl单元格from PIL import Image#导入Image库用与操作图片文件 import datetime #把一个整数值转换成26进制字符串 #因为execl单元格的行坐标是26进制的, 比如"A", "Z", "AA", "AZ" def dec_to_base26(d): s = "" m ...
# generate_text() # 处理空格 # deal_space() # 处理xml deal_excel() def hex_pic(): img = Image.open('pic/origin/02.jpg') # 模式L”为灰色图像,它的每个像素用8个bit表示,0表示黑,255表示白,其他数字表示不同的灰度。 Img = img.convert('L') ...
.text is None or elem.text == 'NULL': continue node_dict[tag_name] = elem.text cur_image = node_dict.get('current-package') if cur_image is not None: cur_image = os.path.basename(cur_image) next_image = node_dict.get('next-package') if next_image is not None: next_image ...
How does this code works? Import pdftotext: With this query, it will call the pdftotext module to initiate the conversion process. # Load your PDF: This piece of code will load your PDF file in the compiler. The code on lines 4 to 9 will choose and convert the PDF file into text and...
``` # Python script for web scraping to extract data from a website import requests from bs4 import BeautifulSoup def scrape_data(url): response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # Your code here to extract relevant data from the website ``` 说明:...
1img =Image.open(self.code_path)2#将图片变成灰色3img_gray = img.convert('L')4img_gray.save('../images/code_gray.png')5#转成黑白图片6img_black_white = img_gray.point(lambdax: 0ifx > 200else255)7img_black_white.save('../images/code_black_white.png') ...
jupyter nbconvert "Diabetes Ridge Regression Training.ipynb" --to script --output train 将笔记本转换为 train.py 后,删除任何不需要的注释。 将位于文件末尾的 main() 调用替换为如以下代码所示的条件调用: Python 复制 if __name__ == '__main__': main() train.py 文件应类似于以下代码: Pytho...