import pytesseract from PIL import Image # 打开截图文件 image = Image.open('screenshot.png') # 使用pytesseract进行文字识别 text = pytesseract.image_to_string(image) # 打印识别结果 print(text) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. ##...
(pattern, text_from_image) if match: info = match.group(1) data[keyword].append(info) # 将关键字对应的提取信息存储到字典中 else: data[keyword].append("") # 若未找到关键字对应的内容,则添加空字符串 # 将提取的信息存储到 DataFrame 中 df = pd.DataFrame(data) # 将 DataFrame 保存到 ...
image-20240523012235189 6. 实践案例:文本分类 接下来,我们将使用scikit-learn库进行一个简单的文本分类示例:将新闻文本分为不同的类别。 代码语言:python 代码运行次数:4 运行 AI代码解释 fromsklearn.datasetsimportfetch_20newsgroupsfromsklearn.feature_extraction.textimportTfidfVectorizerfromsklearn.svmimportLinearS...
# 在图像上绘制边界框和识别的文字forregionintext_regions:x,y,w,h=region[0]cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2)cv2.putText(image,text,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(0,255,0),2)# 结果展示和保存cv2.imshow('Text Extraction',image)cv2.imwrite('result.jpg'...
# load model model = lp.TesseractAgent(languages='eng') dic_predicted = {} for block in [block for block in detected if block.type in ["Title","Text"]]: ## segmentation segmented = block.pad(left=15, right=15, top=5, bottom=5).crop_image(img) ## extraction extracted = model....
languages='eng') dic_predicted = {} for block in [block for block in detected if block.type in ["Title","Text"]]: ## segmentation segmented = block.pad(left=15, right=15, top=5, bottom=5).crop_image(img) ## extraction extracted = model.detect(segmented) ## sa...
pyplot as plt from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator # 打开本体TXT文件text = open('data-fenci.txt').read() # 结巴分词 cut_all=True 设置为全模式 wordlist = jieba.cut(text) #cut_all = True # 使用空格连接 进行中文分词 wl_space_split = " ".join(wordlist) print...
IronPDF empowers developers with tools and APIs to navigate PDFs and identify and extract embedded images seamlessly. Whether for analysis or integration, IronPDF streamlines extraction using Python's flexibility. This makes it essential for working on PDFs and image-based apps. It can extract al...
├── image.png ├── john.txt └──juma.txt 一起来搭建抄袭探测器 · 首先载入所有必要的模块 import os from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import cosine_similarity 使用OS模块加载文本文件的路径，然后使用TfidfVectorizer对文本数据和余弦相似度...
device = PDFPageAggregator(rsrcmgr, laparams=laparams)# 创建一个PDF解释器对象interpreter = PDFPageInterpreter(rsrcmgr, device)# 用来计数页面,图片,曲线,figure,水平文本框等对象的数量num_page, num_image, num_curve, num_figure, num_TextBoxHorizontal =0,0,0,0,0# 循环遍历列表,每次处理一个page的...