ifisinstance(image, Image.Image): returnimage ifnumpy_installedandisinstance(image, ndarray): returnImage.fromarray(image) raiseTypeError('Unsupported image object') defsave_image(image): image =prepare(image) img_extension = image.format ifimage.formatnotin{'JPEG','PNG','TIFF','BMP','GIF'}:...
from PIL import Image # 加载图像 image = Image.open(‘image.jpg’) # 文字识别 text = pytesseract.image_to_string(image, lang=’eng’) # 打印识别结果 print(text) “` 2. OCRopus OCRopus是一个OCR系统的集成系统,它结合了各种OCR工具,例如Tesseract和本地图像预处理工具等。OCRopus使用Python写成,...
base_operator.py:39(prepare) 100 0.004 0.000 35.708 0.357 /Users/taiyuanz/git/piue/src/piue/core/operators/image_ocr_operator.py:12(prepare_impl) 100 0.002 0.000 35.703 0.357 /Users/taiyuanz/opt/anaconda3/envs/piue/lib/python3.7/site-packages/pytesseract/pytesseract.py:346(image_to_string...
在2012 年的 ImageNet 大赛中,Alex 使用的卷积神经网络 ( CNN ) 获得了 84%的识别准确率,远远高于此前两年 74%的准确率,从那时开始,凭借其在图像识别领域优异的表现,CNN 已然发展成为了图像识别技术中最为行之有效的方法之一 。 在实现身份证 OCR中,图像处理部分采用了计算机视觉库 OpenCV 进行相应的图像处理,...
二、PP-OCR识别流程 2.1 数据集收集 结合ppocr中的__init__和__getitem__方法实现自定义数据集读取。 代码位置 代码详细实现及分析: import os import PIL.Image as Image import numpy as np from paddle.io import Dataset # 图片信息配置 - 通道数、高度、宽度 ...
OnLines 55 and 56we construct two such kernels — one rectangular and one square. We will use the rectangular one for aTop-hat morphological operatorand the square one for a closing operation. We’ll see these in action shortly. Now let’s prepare the image we are going to OCR: ...
open('img101.jpg')blur_image=blur_image.filter(Image.BLUR)# 添加阴影shadow_image=Image.open...
(Wasm): Demonstrates how to build a web-based photo editor using Next.js for UI and Python compiled to WebAssembly for performance-heavy image editing tasks.I Can’t Get No (Boolean) Satisfaction: Explores the significance of Boolean satisfiability (SAT) problems, illustrating their foundational ...
def test1(image): img_l = cv2.imread(image) gray_l = cv2.cvtColor(img_l, cv2.COLOR_BGR2GRAY) ret_l, corners_l = cv2.findChessboardCorners(gray_l, (7, 5), None) if ret_l: truth.append(image) for i in all_images: print(f'---processing {i}---') test1(i) print(truth) ...
print(f"{prepare_inputs['sft_format'][0]}", answer) 3、右键运行脚本 4、运行结果如下图,还是能够正确识别图片内容 六、Python 代码测试 文生图 功能 1、编写文生图代码 # 导入必要的库 import os import torch import numpy as np from PIL import Image ...