超强合集:OCR 文本检测干货汇总(含论文、源码、demo 等资源)
本文篇幅较长,建议收藏阅读,全文目录如下:
papers
Text Detection
Text Recognition
Text Detection+Recognition
Breaking Captcha
Handwritten Recognition
Plate Recognition
Blogs
Projects
Videos
Resources
Papers
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
- intro: Google. Ian J. Goodfellow
- arxiv: https://arxiv.org/abs/1312.6082
End-to-End Text Recognition with Convolutional Neural Networks
- paper: http://www.cs.stanford.edu/~acoates/papers/wangwucoatesng_icpr2012.pdf
- PhD thesis: http://cs.stanford.edu/people/dwu4/HonorThesis.pdf
Word Spotting and Recognition with Embedded Attributes
- paper: http://ieeexplore.ieee.org.sci-hub.org/xpl/articleDetails.jsp?arnumber=6857995&filter%3DAND%28p_IS_Number%3A6940341%29
Reading Text in the Wild with Convolutional Neural Networks
- arxiv: http://arxiv.org/abs/1412.1842
- homepage: http://www.robots.ox.ac.uk/~vgg/publications/2016/Jaderberg16/
- demo: http://zeus.robots.ox.ac.uk/textsearch/#/search/
- code: http://www.robots.ox.ac.uk/~vgg/research/text/
Deep structured output learning for unconstrained text recognition
- intro: "propose an architecture consisting of a character sequence CNN and an N-gram encoding CNN which act on an input image in parallel and whose outputs are utilized along with a CRF model to recognize the text content present within the image."
- arxiv: http://arxiv.org/abs/1412.5903
Deep Features for Text Spotting
- paper: http://www.robots.ox.ac.uk/~vgg/publications/2014/Jaderberg14/jaderberg14.pdf
- bitbucket: https://bitbucket.org/jaderberg/eccv2014_textspotting
- gitxiv: http://gitxiv.com/posts/uB4y7QdD5XquEJ69c/deep-features-for-text-spotting
Reading Scene Text in Deep Convolutional Sequences
- intro: AAAI 2016
- arxiv: http://arxiv.org/abs/1506.04395
DeepFont: Identify Your Font from An Image
- arxiv: http://arxiv.org/abs/1507.03196
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
- intro: Convolutional Recurrent Neural Network (CRNN)
- arxiv: http://arxiv.org/abs/1507.05717
- github: https://github.com/bgshih/crnn
- github: https://github.com/meijieru/crnn.pytorch
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
- arxiv: http://arxiv.org/abs/1603.03101
- Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks
- arxiv: http://arxiv.org/abs/1604.00974
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
- arxiv: http://arxiv.org/abs/1605.07314
End-to-End Interpretation of the French Street Name Signs Dataset
- paper: http://link.springer.com/chapter/10.1007%2F978-3-319-46604-0_30
- github: https://github.com/tensorflow/models/tree/master/street
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
- arxiv: https://arxiv.org/abs/1611.06159
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
- arxiv: https://arxiv.org/abs/1611.07385
- Improving Text Proposals for Scene Images with Fully Convolutional Networks
- intro: Universitat Autonoma de Barcelona (UAB) & University of Florence
- intro: International Conference on Pattern Recognition (ICPR) - DLPR (Deep Learning for Pattern Recognition) workshop
- arxiv: https://arxiv.org/abs/1702.05089
Scene Text Eraser
- https://arxiv.org/abs/1705.02772
Attention-based Extraction of Structured Information from Street View Imagery
- intro: University College London & Google Inc
- arxiv: https://arxiv.org/abs/1704.03549
- github: https://github.com/tensorflow/models/tree/master/attention_ocr
Implicit Language Model in LSTM for OCR
https://arxiv.org/abs/1805.09441
Text Detection
Object Proposals for Text Extraction in the Wild
- intro: ICDAR 2015
- arxiv: http://arxiv.org/abs/1509.02317
- github: https://github.com/lluisgomez/TextProposals
Text-Attentional Convolutional Neural Networks for Scene Text Detection
- arxiv: http://arxiv.org/abs/1510.03283
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
- arxiv: http://arxiv.org/abs/1603.09423
Synthetic Data for Text Localisation in Natural Images
- intro: CVPR 2016
- project page: http://www.robots.ox.ac.uk/~vgg/data/scenetext/
- arxiv: http://arxiv.org/abs/1604.06646
- paper: http://www.robots.ox.ac.uk/~vgg/data/scenetext/gupta16.pdf
- github: https://github.com/ankush-me/SynthText
Scene Text Detection via Holistic, Multi-Channel Prediction
- arxiv: http://arxiv.org/abs/1606.09002
Detecting Text in Natural Image with Connectionist Text Proposal Network
- intro: ECCV 2016
- arxiv: http://arxiv.org/abs/1609.03605
- github(Caffe): https://github.com/tianzhi0549/CTPN
- github(CUDA8.0 support): https://github.com/qingswu/CTPN
- demo: http://textdet.com/
- github(Tensorflow): https://github.com/eragonruan/text-detection-ctpn
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- intro: AAAI 2017
- arxiv: https://arxiv.org/abs/1611.06779
- github(Caffe): https://github.com/MhLiao/TextBoxes
- github: https://github.com/xiaodiu2010/TextBoxes-TensorFlow
TextBoxes++: A Single-Shot Oriented Scene Text Detector
- intro: TIP 2018. University of Science and Technology(HUST)
- arxiv: https://arxiv.org/abs/1801.02765
- github(official, Caffe): https://github.com/MhLiao/TextBoxes_plusplus
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
- intro: IEEE Transactions on Multimedia
- keywords: RRPN
- arxiv: https://arxiv.org/abs/1703.01086
- github: https://github.com/mjq11302010044/RRPN
- github: https://github.com/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow
Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
- intro: CVPR 2017
- intro: F-measure 70.64%, outperforming the existing state-of-the-art method with F-measure 63.76%
- arxiv: https://arxiv.org/abs/1703.01425
Detecting Oriented Text in Natural Images by Linking Segments
- intro: CVPR 2017
- arxiv: https://arxiv.org/abs/1703.06520
- github(Tensorflow): https://github.com/dengdan/seglink
Deep Direct Regression for Multi-Oriented Scene Text Detection
- arxiv: https://arxiv.org/abs/1703.08289
Cascaded Segmentation-Detection Networks for Word-Level Text Spotting
https://arxiv.org/abs/1704.00834
Text-Detection-using-py-faster-rcnn-framework
- github: https://github.com/jugg1024/Text-Detection-with-FRCN
WordFence: Text Detection in Natural Images with Border Awareness - intro: ICIP 2017
- arcxiv: https://arxiv.org/abs/1705.05483
SSD-text detection: Text Detector
- intro: A modified SSD model for text detection
- github: https://github.com/oyxhust/ssd-text_detection
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
- intro: Samsung R&D Institute China
- arxiv: https://arxiv.org/abs/1706.09579
R-PHOC: Segmentation-Free Word Spotting using CNN
- intro: ICDAR 2017
- arxiv: https://arxiv.org/abs/1707.01294
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks
- intro: ICCV 2017
- arxiv: https://arxiv.org/abs/1707.03985
EAST: An Efficient and Accurate Scene Text Detector
- intro: CVPR 2017. Megvii
- arxiv: https://arxiv.org/abs/1704.03155
- paper: http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_EAST_An_Efficient_CVPR_2017_paper.pdf
- github(Tensorflow): https://github.com/argman/EAST
Deep Scene Text Detection with Connected Component Proposals
- intro: Amap Vision Lab, Alibaba Group
- arxiv: https://arxiv.org/abs/1708.05133
Single Shot Text Detector with Regional Attention
- intro: ICCV 2017
- arxiv: https://arxiv.org/abs/1709.00138
- github: https://github.com/BestSonny/SSTD
- code: http://sstd.whuang.org
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
https://arxiv.org/abs/1709.03272
Deep Residual Text Detection Network for Scene Text
- intro: IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017. Samsung R&D Institute of China, Beijing
- arxiv: https://arxiv.org/abs/1711.04147
Feature Enhancement Network: A Refined Scene Text Detector
- intro: AAAI 2018
- arxiv: https://arxiv.org/abs/1711.04249
ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene
https://arxiv.org/abs/1711.11249
Detecting Curve Text in the Wild: New Dataset and New Solution
- arxiv: https://arxiv.org/abs/1712.02170
- github: https://github.com/Yuliang-Liu/Curve-Text-Detector
FOTS: Fast Oriented Text Spotting with a Unified Network
https://arxiv.org/abs/1801.01671
PixelLink: Detecting Scene Text via Instance Segmentation
- intro: AAAI 2018
- arxiv: https://arxiv.org/abs/1801.01315
PixelLink: Detecting Scene Text via Instance Segmentation
- intro: AAAI 2018. Zhejiang University & Chinese Academy of Sciences
- arxiv: https://arxiv.org/abs/1801.01315
Sliding Line Point Regression for Shape Robust Scene Text Detection
https://arxiv.org/abs/1801.09969
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
- intro: CVPR 2018
- arxiv: https://arxiv.org/abs/1802.08948
Single Shot TextSpotter with Explicit Alignment and Attention
- intro: CVPR 2018
- arxiv: https://arxiv.org/abs/1803.03474
Rotation-Sensitive Regression for Oriented Scene Text Detection
- intro: CVPR 2018
- arxiv: https://arxiv.org/abs/1803.05265
Detecting Multi-Oriented Text with Corner-based Region Proposals
- arxiv: https://arxiv.org/abs/1804.02690
- github: https://github.com/xhzdeng/crpn
An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches
https://arxiv.org/abs/1804.09003
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
- intro: IJCAI 2018. Alibaba Group
- arxiv: https://arxiv.org/abs/1805.01167
Boosting up Scene Text Detectors with Guided CNN
https://arxiv.org/abs/1805.04132
Shape Robust Text Detection with Progressive Scale Expansion Network
- arxiv: https://arxiv.org/abs/1806.02559
- github: https://github.com/whai362/PSENet
A Single Shot Text Detector with Scale-adaptive Anchors
https://arxiv.org/abs/1807.01884
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
- intro: ECCV 2018
- arxiv: https://arxiv.org/abs/1807.01544
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
- intro: ECCV 2018. Huazhong University of Science and Technology & Megvii (Face++) Technology
- arxiv: https://arxiv.org/abs/1807.02242
Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping
- intro: ECCV 2018
- arxiv: https://arxiv.org/abs/1807.03547
TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade
https://arxiv.org/abs/1809.03050
Correlation Propagation Networks for Scene Text Detection
https://arxiv.org/abs/1810.00304
Scene Text Detection with Supervised Pyramid Context Network
- intro: AAAI 2019
- arxiv: https://arxiv.org/abs/1811.08605
Improving Rotated Text Detection with Rotation Region Proposal Networks
https://arxiv.org/abs/1811.07031
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
https://arxiv.org/abs/1811.07432
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
- intro: WACV 2019
- arxiv: https://arxiv.org/abs/1811.09058
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
- intro: Huazhong University of Science and Technology (HUST) & Alibaba Group
- arxiv: https://arxiv.org/abs/1812.01393
Detecting Text in the Wild with Deep Character Embedding Network
- intro: ACCV 2018
- intro: Baidu
- arxiv: https://arxiv.org/abs/1901.00363
Text Recognition
Sequence to sequence learning for unconstrained scene text recognition
- intro: master thesis
- arxiv: http://arxiv.org/abs/1607.06125
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
- arxiv: https://arxiv.org/abs/1606.06539
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
- intro: correct rates: Dataset-CASIA 97.10% and Dataset-ICDAR 97.15%
- arxiv: https://arxiv.org/abs/1610.02616
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition
- arxiv: https://arxiv.org/abs/1610.04057
Visual attention models for scene text recognition
https://arxiv.org/abs/1706.01487
Focusing Attention: Towards Accurate Text Recognition in Natural Images
- intro: ICCV 2017
- arxiv: https://arxiv.org/abs/1709.02054
Scene Text Recognition with Sliding Convolutional Character Models
https://arxiv.org/abs/1709.01727
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
https://arxiv.org/abs/1710.03425
A New Hybrid-parameter Recurrent Neural Networks for Online Handwritten Chinese Character Recognition
https://arxiv.org/abs/1711.02809
AON: Towards Arbitrarily-Oriented Text Recognition
- arxiv: https://arxiv.org/abs/1711.04226
- github: https://github.com/huizhang0110/AON
Arbitrarily-Oriented Text Recognition
- intro: A method used in ICDAR 2017 word recognition competitions
- arxiv: https://arxiv.org/abs/1711.04226
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
https://arxiv.org/abs/1712.05404
Edit Probability for Scene Text Recognition
- intro: Fudan University & Hikvision Research Institute
- arxiv: https://arxiv.org/abs/1805.03384
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition
https://arxiv.org/abs/1806.00578
Adaptive Adversarial Attack on Scene Text Recognition
- intro: University of Florida
- arxiv: https://arxiv.org/abs/1807.03326
ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification
https://arxiv.org/abs/1812.05824
Text Detection + Recognition
STN-OCR: A single Neural Network for Text Detection and Text Recognition
- arxiv: https://arxiv.org/abs/1707.08831
- github(MXNet): https://github.com/Bartzi/stn-ocr
Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework
- intro: ICCV 2017
- arxiv: http://openaccess.thecvf.com/content_ICCV_2017/papers/Busta_Deep_TextSpotter_An_ICCV_2017_paper.pdf
FOTS: Fast Oriented Text Spotting with a Unified Network
https://arxiv.org/abs/1801.01671
Single Shot TextSpotter with Explicit Alignment and Attention
An end-to-end TextSpotter with Explicit Alignment and Attention
- intro: CVPR 2018
- arxiv: https://arxiv.org/abs/1803.03474
- github(official, Caffe): https://github.com/tonghe90/textspotter
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes
- intro: ECCV 2018
- arxiv: https://arxiv.org/abs/1807.03021
- github: https://github.com/fnzhan/Verisimilar-Image-Synthesis-for-Accurate-Detection-and-Recognition-of-Texts-in-Scenes
Scene Text Detection and Recognition: The Deep Learning Era
- arxiv: https://arxiv.org/abs/1811.04256
- gihtub: https://github.com/Jyouhou/SceneTextPapers
A Novel Integrated Framework for Learning both Text Detection and Recognition
- intro: Alibaba
- arxiv: https://arxiv.org/abs/1811.08611
Breaking Captcha
Using deep learning to break a Captcha system
- intro: "Using Torch code to break simplecaptcha with 92% accuracy"
- blog: https://deepmlblog.wordpress.com/2016/01/03/how-to-break-a-captcha-system/
- github: https://github.com/arunpatala/captcha
Breaking reddit captcha with 96% accuracy
- blog: https://deepmlblog.wordpress.com/2016/01/05/breaking-reddit-captcha-with-96-accuracy/
- github: https://github.com/arunpatala/reddit.captcha
I’m not a human: Breaking the Google reCAPTCHA
- paper: https://www.blackhat.com/docs/asia-16/materials/asia-16-Sivakorn-Im-Not-a-Human-Breaking-the-Google-reCAPTCHA-wp.pdf
Neural Net CAPTCHA Cracker
- slides: http://www.cs.sjsu.edu/faculty/pollett/masters/Semesters/Spring15/geetika/CS298%20Slides%20-%20PDF
- github: https://github.com/bgeetika/Captcha-Decoder
- demo: http://cp-training.appspot.com/
Recurrent neural networks for decoding CAPTCHAS
- blog: https://deepmlblog.wordpress.com/2016/01/12/recurrent-neural-networks-for-decoding-captchas/
- demo: http://simplecaptcha.sourceforge.net/
- code: http://sourceforge.net/projects/simplecaptcha/
Reading irctc captchas with 95% accuracy using deep learning
- github: https://github.com/arunpatala/captcha.irctc
端到端的OCR:基于CNN的实现
- blog: http://blog.xlvector.net/2016-05/mxnet-ocr-cnn/
I Am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
- intro: automatically solving 70.78% of the image reCaptchachallenges, while requiring only 19 seconds per challenge. apply to the Facebook image captcha and achieve an accuracy of 83.5%
- paper: http://www.cs.columbia.edu/~polakis/papers/sivakorn_eurosp16.pdf
SimGAN-Captcha
- intro: Solve captcha without manually labeling a training set
- github: https://github.com/rickyhan/SimGAN-Captcha
Handwritten Recognition
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
- arxiv: http://arxiv.org/abs/1505.04925
- github: https://github.com/zhongzhuoyao/HCCR-GoogLeNet
Recognize your handwritten numbers
https://medium.com/@o.kroeger/recognize-your-handwritten-numbers-3f007cbe46ff#.jllz62xgu
Handwritten Digit Recognition using Convolutional Neural Networks in Python with Keras
- blog: http://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/
MNIST Handwritten Digit Classifier
- github: https://github.com/karandesai-96/digit-classifier
如何用卷积神经网络CNN识别手写数字集?
- blog: http://www.cnblogs.com/charlotte77/p/5671136.html
LeNet – Convolutional Neural Network in Python
- blog: http://www.pyimagesearch.com/2016/08/01/lenet-convolutional-neural-network-in-python/
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
- arxiv: http://arxiv.org/abs/1604.03286
MLPaint: the Real-Time Handwritten Digit Recognizer
- blog: http://blog.mldb.ai/blog/posts/2016/09/mlpaint/
- github: https://github.com/mldbai/mlpaint
- demo: https://docs.mldb.ai/ipy/notebooks/_demos/_latest/Image%20Processing%20with%20Convolutions.html
Training a Computer to Recognize Your Handwriting
https://medium.com/@annalyzin/training-a-computer-to-recognize-your-handwriting-24b808fb584#.gd4pb9jk2
Using TensorFlow to create your own handwriting recognition engine
- blog: https://niektemme.com/2016/02/21/tensorflow-handwriting/
- github: https://github.com/niektemme/tensorflow-mnist-predict/
Building a Deep Handwritten Digits Classifier using Microsoft Cognitive Toolkit
- blog: https://medium.com/@tuzzer/building-a-deep-handwritten-digits-classifier-using-microsoft-cognitive-toolkit-6ae966caec69#.c3h6o7oxf
- github: https://github.com/tuzzer/ai-gym/blob/a97936619cf56b5ed43329c6fa13f7e26b1d46b8/MNIST/minist_softmax_cntk.py
Hand Writing Recognition Using Convolutional Neural Networks
- intro: This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.
- github: https://github.com/ayushoriginal/HandWritingRecognition-CNN
Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling
- intro: 0.57 MB, performance is decreased only by 0.91%.
- arxiv: https://arxiv.org/abs/1705.05207
Handwritten digit string recognition by combination of residual network and RNN-CTC
https://arxiv.org/abs/1710.03112
Plate Recognition
Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs
- arxiv: http://arxiv.org/abs/1601.05610
Number plate recognition with Tensorflow
- blog: http://matthewearl.github.io/2016/05/06/cnn-anpr/
- github(Deep ANPR): https://github.com/matthewearl/deep-anpr
end-to-end-for-plate-recognition
- github: https://github.com/szad670401/end-to-end-for-chinese-plate-recognition
Segmentation-free Vehicle License Plate Recognition using ConvNet-RNN
- intro: International Workshop on Advanced Image Technology, January, 8-10, 2017. Penang, Malaysia. Proceeding IWAIT2017
- arxiv: https://arxiv.org/abs/1701.06439
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
- arxiv: https://arxiv.org/abs/1703.07330
- api: https://www.sighthound.com/products/cloud
Adversarial Generation of Training Examples for Vehicle License Plate Recognition
https://arxiv.org/abs/1707.03124
Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks
- arxiv: https://arxiv.org/abs/1709.08828
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline
- paper: http://openaccess.thecvf.com/content_ECCV_2018/papers/Zhenbo_Xu_Towards_End-to-End_License_ECCV_2018_paper.pdf
- github: https://github.com/detectRecog/CCPD
- dataset: https://drive.google.com/file/d/1fFqCXjhk7vE9yLklpJurEwP9vdLZmrJd/view
High Accuracy Chinese Plate Recognition Framework
- intro: 基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
- gihtub: https://github.com/zeusees/HyperLPR
LPRNet: License Plate Recognition via Deep Neural Networks
- intrp=o: Intel IOTG Computer Vision Group
- intro: works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIAR GeForceTMGTX 1080 and 1.3 ms/plate on IntelR CoreTMi7-6700K CPU.
- arxiv: https://arxiv.org/abs/1806.10447
How many labeled license plates are needed?
- intro: Chinese Conference on Pattern Recognition and Computer Vision
- arxiv: https://arxiv.org/abs/1808.08410
Blogs
Applying OCR Technology for Receipt Recognition
- blog: http://rnd.azoft.com/applying-ocr-technology-receipt-recognition/
- mirror: http://pan.baidu.com/s/1qXQBQiC
Hacking MNIST in 30 lines of Python
- blog: http://jrusev.github.io/post/hacking-mnist/
- github: https://github.com/jrusev/simple-neural-networks
Optical Character Recognition Using One-Shot Learning, RNN, and TensorFlow
https://blog.altoros.com/optical-character-recognition-using-one-shot-learning-rnn-and-tensorflow.html
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
https://blogs.dropbox.com/tech/2017/04/creating-a-modern-ocr-pipeline-using-computer-vision-and-deep-learning/
Projects
ocropy: Python-based tools for document analysis and OCR
- github: https://github.com/tmbdev/ocropy
Extracting text from an image using Ocropus
- blog: http://www.danvk.org/2015/01/09/extracting-text-from-an-image-using-ocropus.html
CLSTM : A small C++ implementation of LSTM networks, focused on OCR
- github: https://github.com/tmbdev/clstm
OCR text recognition using tensorflow with attention
- github: https://github.com/pannous/caffe-ocr
- github: https://github.com/pannous/tensorflow-ocr
Digit Recognition via CNN: digital meter numbers detection
- github(caffe): https://github.com/SHUCV/digit
Attention-OCR: Visual Attention based OCR
- github: https://github.com/da03/Attention-OCR
umaru: An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm
- github: https://github.com/edward-zhu/umaru
Tesseract.js: Pure Javascript OCR for 62 Languages
- homepage: http://tesseract.projectnaptha.com/
- github: https://github.com/naptha/tesseract.js
DeepHCCR: Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)
- github: https://github.com/chongyangtao/DeepHCCR
deep ocr: make a better chinese character recognition OCR than tesseract
https://github.com/JinpengLI/deep_ocr
Practical Deep OCR for scene text using CTPN + CRNN
https://github.com/AKSHAYUBHAT/DeepVideoAnalytics/blob/master/notebooks/OCR/readme.md
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
https://github.com//weinman/cnn_lstm_ctc_ocr
SSD_scene-text-detection
- github: https://github.com//chenxinpeng/SSD_scene_text_detection
- blog: http://blog.csdn.net/u010167269/article/details/52563573
Videos
LSTMs for OCR
- youtube: https://www.youtube.com/watch?v=5vW8faXvnrc
Resources
Deep Learning for OCR
https://github.com/hs105/Deep-Learning-for-OCR
Scene Text Localization & Recognition Resources
- intro: A curated list of resources dedicated to scene text localization and recognition
- github: https://github.com/chongyangtao/Awesome-Scene-Text-Recognition
Scene Text Localization & Recognition Resources
- intro: 图像文本位置感知与识别的论文资源汇总
- github: https://github.com/whitelok/image-text-localization-recognition/blob/master/README.zh-cn.md
awesome-ocr: A curated list of promising OCR resources
https://github.com/wanghaisheng/awesome-ocr
如若内容造成侵权/违法违规/事实不符,请联系编程学习网邮箱:809451989@qq.com进行投诉反馈,一经查实,立即删除!
相关文章
- 超强合集:OCR文本检测干货汇总(含论文、源码、demo等资源)
本文篇幅较长,建议收藏阅读,全文目录如下: papers Text Detection Text Recognition Text DetectionRecognition Breaking Captcha Handwritten Recognition Plate Recognition Blogs Projects Videos Resources Papers Multi-d…...
2024/4/21 1:28:02 - 【CVPR2019】论文完整列表一
CVPR 2019 Paper list No.1-1000 ?CVPR2019 完整列表二 论文题目与链接Finding Task-Relevant Features for Few-Shot Learning by Category TraversalEdge-Labeling Graph Neural Network for Few-Shot LearningGenerating Classification Weights With GNN Denoising Autoe…...
2024/5/5 12:22:06 - 【ECCV2020】接收论文列表part1
ECCV2020将于2020年8月23-28日在线上举行,今年共接受了1361篇论文,本文是接收论列表的第一部分,第二部见链接 Paper IDPaper TitleCategory267Quaternion Equivariant Capsule Networks for 3D Point CloudsOral283DeepFit: 3D Surface Fitti…...
2024/5/5 12:22:01 - CVPR2019论文汇总
CVPR2019论文汇总 论文题目与链接 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Edge-Labeling Graph Neural Network for Few-Shot Learning Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning Ke…...
2024/5/5 12:21:54 - 计算机视觉和模式识别的code
计算机视觉和模式识别的code UIUC的Jia-Bin Huang同学收集了很多计算机视觉方面的代码,链接如下: https://netfiles.uiuc.edu/jbhuang1/www/resources/vision/index.htmlType Topic Name Reference Link Code Structure from motion libmv http://code…...
2024/4/27 12:15:23 - 顶会速递 | ICLR 2020录用论文全集
由深度学习三巨头Yoshua Bengio和Yann LeCun牵头创办的人工智能顶会ICLR今年最终收到2594篇投稿,共687篇论文被接收,其中48篇orals,108篇spotlights,531篇posters,录取率为26.5%,相比去年的31.4%略有下降。…...
2024/4/21 1:27:57 - 论文阅读博客||很多论文阅读笔记
元学习论文总结||小样本学习论文总结 2017-2019年计算机视觉顶会文章收录 AAAI2017-2019 CVPR2017-2019 ECCV2018 ICCV2017-2019 ICLR2017-2019 NIPS2017-2019 https://www.cnblogs.com/wangxiaocvpr/category/754856.html Social GAN: Socially Acceptable Trajectories wit…...
2024/4/21 1:27:57 - 基于RLE的matlab图像无损压缩实现
这两天老师上课讲到了RLE无损压缩的方法,随后布置了作业,编程对不同图像使用rle压缩,并分析。然后我使用matlab就开干了,然而由于对RLE方法了解不多,上课老师好像也没提这种方法是针对二值图的,然后我就用来…...
2024/4/21 1:27:55 - FFmpeg下载无损截取HLS视频流
需要用到的工具(有能力达到后面的目的的话,也可以换成其他的): Firefox浏览器 :用来获取m3u8地址PotPlayer:用来播放m3u8地址、加速检查下载的视频FFmpeg:用来下载、截取视频流记事本࿱…...
2024/4/21 1:27:54 - HDTV(1920x1080)码率和视频质量关系的研究 2 (实验结果)
上一篇文章中介绍了实验的准备工作, HDTV(1920x1080)码率和视频质量关系的研究 1 (前期准备) 本文介绍一下实验的结果。 首先来看一下主观评价的试验结果: 从实验结果来看,可以得出以下结论&…...
2024/5/1 6:42:59 - 通过 ffmpeg 无损剪切/拼接视频
原文:http://segmentfault.com/blog/caspar/1190000000414341?page1 剪切/拼接视频文件是一种常见需求。在线视频网站现在往往将一个视频文件分割成 n 段,以减少流量消耗。使用 DownloadHelper/DownThemAll 这类工具下载下来的往往就是分割后的文件。能…...
2024/4/21 1:27:52 - 数据库中的无损连接分解和是否保持函数依赖的判定
首先了解一下几个概念: 1)把一个关系模式分解成若干个关系模式的过程,称为关系模式的分解。 2)把低一级的关系模式分解为若干个高一级的关系模式的方法不是唯一的。 3)只有能够保证分解后的关系模式与原关系模式等价…...
2024/4/20 21:41:31 - Android多媒体技术(二)浅析Camera视频实时采集中涉及的参数配置
浅析Camera视频实时采集中涉及的参数配置 作者: 蒋东国 时间: 2017年1月20日 星期五 应用来源: mpu 博客地址…...
2024/5/4 2:42:53 - H.264的码率控制策略
码率控制实际上是一种编码的优化算法,它用于实现对视频流码流大小的控制。那么它控制的目的是什么呢?我们可以试想一下,同样的视频编码格式,码流大,它包含的信息也就越多,那么对应的图像也就越清晰…...
2024/5/4 10:19:19 - 无损压缩算法专题——无损压缩算法介绍
一、数据无损压缩的理论——信息论 数据压缩的起源是基于信息论的。信息论之父香农第一次用数学语言阐明了概率与信息冗余度的关系。在1948年发表的论文“通信的数学理论”中,香农指出,任何信息都存在冗余,冗余大小与信息中每个符号的出现概…...
2024/4/20 20:43:00 - FFMpeg无损合并视频的多种方法 python
方法二确实可行 方法1 我试着不行 需要的话自己试试把 python 的调用cmd命令是这么写的 resos.system("ifconfig"); 众所周知,从某些视频网站下载的视频是分段的。比如新浪视频每隔6分钟分段,俗称“6分钟诅咒”。 现在的任务是将这些视频片…...
2024/5/4 11:19:29 - 利用FFmpeg无损提取视频中源音频流
今天要从视频中扒一个谱出来,想把音频提取出来。有损提取方法很多了,利用格式工厂啊,视频编辑软件啊,开内录啊很多方法。但是我想要的是无损提取。 1. MediaCoder 首先尝试了MediaCoder中的“复制音频流”选项,但是怎…...
2024/5/4 12:09:47 - ffmpeg 码率控制(总结篇)
本文仅探讨ffmpeg API编码的方式进行码率控制,文中测试数据使用的是网络传输场景,非本地测试,可能收到网络的影响。如有不足之处,请及时指正。 CQP CQP:Constant Quantization Parameter - 固定质量参数 每一帧图像…...
2024/4/20 20:42:57 - FFMPEG-无损切割视频
切割视频 参考文章:[http://blog.itpub.net/29754888/viewspace-1383562/] ffmpeg -ss 01:00:00 -i input_file_h264.mp4 -vcodec copy -acodec copy -t 00:06:00 output_file.mp4 切割多音轨 参考文章:[http://blog.csdn.net/season_hangzhou/article/details/27503421] …...
2024/5/4 7:02:56 - ffmpeg 视频无损拼接
首先,把要合并的视频按顺序写到files.txt里,例如 file 1.mp4 file 2.mp4 注意必须单引号 然后 ffmpeg -f concat -safe 0 -i files.txt -c copy output.mp4...
2024/5/5 12:22:13
最新文章
- 项目又延期了,怎么办?
Ada问:负责的几个版本上线都延期了,在测试环境出了问题,改过再测上线后,还是出问题。身为产品经理,很困惑,项目不断延期,又被打脸。怎么办? 学姐回答: 经理每天都是忙着…...
2024/5/7 15:49:18 - 梯度消失和梯度爆炸的一些处理方法
在这里是记录一下梯度消失或梯度爆炸的一些处理技巧。全当学习总结了如有错误还请留言,在此感激不尽。 权重和梯度的更新公式如下: w w − η ⋅ ∇ w w w - \eta \cdot \nabla w ww−η⋅∇w 个人通俗的理解梯度消失就是网络模型在反向求导的时候出…...
2024/5/7 10:36:02 - 磁盘管理与文件管理
文章目录 一、磁盘结构二、MBR与磁盘分区分区的优势与缺点分区的方式文件系统分区工具挂载与解挂载 一、磁盘结构 1.硬盘结构 硬盘分类: 1.机械硬盘:靠磁头转动找数据 慢 便宜 2.固态硬盘:靠芯片去找数据 快 贵 硬盘的数据结构:…...
2024/5/5 1:09:39 - node.js常用指令
1、node:启动 Node.js REPL(交互式解释器)。 node 2、node [文件名]:执行指定的 JavaScript 文件。 node app.js 3、npm init:初始化一个新的 Node.js 项目,生成 package.json 文件。 此命令会创建一个…...
2024/5/3 8:55:58 - 【外汇早评】美通胀数据走低,美元调整
原标题:【外汇早评】美通胀数据走低,美元调整昨日美国方面公布了新一期的核心PCE物价指数数据,同比增长1.6%,低于前值和预期值的1.7%,距离美联储的通胀目标2%继续走低,通胀压力较低,且此前美国一季度GDP初值中的消费部分下滑明显,因此市场对美联储后续更可能降息的政策…...
2024/5/7 5:50:09 - 【原油贵金属周评】原油多头拥挤,价格调整
原标题:【原油贵金属周评】原油多头拥挤,价格调整本周国际劳动节,我们喜迎四天假期,但是整个金融市场确实流动性充沛,大事频发,各个商品波动剧烈。美国方面,在本周四凌晨公布5月份的利率决议和新闻发布会,维持联邦基金利率在2.25%-2.50%不变,符合市场预期。同时美联储…...
2024/5/7 9:45:25 - 【外汇周评】靓丽非农不及疲软通胀影响
原标题:【外汇周评】靓丽非农不及疲软通胀影响在刚结束的周五,美国方面公布了新一期的非农就业数据,大幅好于前值和预期,新增就业重新回到20万以上。具体数据: 美国4月非农就业人口变动 26.3万人,预期 19万人,前值 19.6万人。 美国4月失业率 3.6%,预期 3.8%,前值 3…...
2024/5/4 23:54:56 - 【原油贵金属早评】库存继续增加,油价收跌
原标题:【原油贵金属早评】库存继续增加,油价收跌周三清晨公布美国当周API原油库存数据,上周原油库存增加281万桶至4.692亿桶,增幅超过预期的74.4万桶。且有消息人士称,沙特阿美据悉将于6月向亚洲炼油厂额外出售更多原油,印度炼油商预计将每日获得至多20万桶的额外原油供…...
2024/5/7 14:25:14 - 【外汇早评】日本央行会议纪要不改日元强势
原标题:【外汇早评】日本央行会议纪要不改日元强势近两日日元大幅走强与近期市场风险情绪上升,避险资金回流日元有关,也与前一段时间的美日贸易谈判给日本缓冲期,日本方面对汇率问题也避免继续贬值有关。虽然今日早间日本央行公布的利率会议纪要仍然是支持宽松政策,但这符…...
2024/5/4 23:54:56 - 【原油贵金属早评】欧佩克稳定市场,填补伊朗问题的影响
原标题:【原油贵金属早评】欧佩克稳定市场,填补伊朗问题的影响近日伊朗局势升温,导致市场担忧影响原油供给,油价试图反弹。此时OPEC表态稳定市场。据消息人士透露,沙特6月石油出口料将低于700万桶/日,沙特已经收到石油消费国提出的6月份扩大出口的“适度要求”,沙特将满…...
2024/5/4 23:55:05 - 【外汇早评】美欲与伊朗重谈协议
原标题:【外汇早评】美欲与伊朗重谈协议美国对伊朗的制裁遭到伊朗的抗议,昨日伊朗方面提出将部分退出伊核协议。而此行为又遭到欧洲方面对伊朗的谴责和警告,伊朗外长昨日回应称,欧洲国家履行它们的义务,伊核协议就能保证存续。据传闻伊朗的导弹已经对准了以色列和美国的航…...
2024/5/4 23:54:56 - 【原油贵金属早评】波动率飙升,市场情绪动荡
原标题:【原油贵金属早评】波动率飙升,市场情绪动荡因中美贸易谈判不安情绪影响,金融市场各资产品种出现明显的波动。随着美国与中方开启第十一轮谈判之际,美国按照既定计划向中国2000亿商品征收25%的关税,市场情绪有所平复,已经开始接受这一事实。虽然波动率-恐慌指数VI…...
2024/5/7 11:36:39 - 【原油贵金属周评】伊朗局势升温,黄金多头跃跃欲试
原标题:【原油贵金属周评】伊朗局势升温,黄金多头跃跃欲试美国和伊朗的局势继续升温,市场风险情绪上升,避险黄金有向上突破阻力的迹象。原油方面稍显平稳,近期美国和OPEC加大供给及市场需求回落的影响,伊朗局势并未推升油价走强。近期中美贸易谈判摩擦再度升级,美国对中…...
2024/5/4 23:54:56 - 【原油贵金属早评】市场情绪继续恶化,黄金上破
原标题:【原油贵金属早评】市场情绪继续恶化,黄金上破周初中国针对于美国加征关税的进行的反制措施引发市场情绪的大幅波动,人民币汇率出现大幅的贬值动能,金融市场受到非常明显的冲击。尤其是波动率起来之后,对于股市的表现尤其不安。隔夜美国股市出现明显的下行走势,这…...
2024/5/6 1:40:42 - 【外汇早评】美伊僵持,风险情绪继续升温
原标题:【外汇早评】美伊僵持,风险情绪继续升温昨日沙特两艘油轮再次发生爆炸事件,导致波斯湾局势进一步恶化,市场担忧美伊可能会出现摩擦生火,避险品种获得支撑,黄金和日元大幅走强。美指受中美贸易问题影响而在低位震荡。继5月12日,四艘商船在阿联酋领海附近的阿曼湾、…...
2024/5/4 23:54:56 - 【原油贵金属早评】贸易冲突导致需求低迷,油价弱势
原标题:【原油贵金属早评】贸易冲突导致需求低迷,油价弱势近日虽然伊朗局势升温,中东地区几起油船被袭击事件影响,但油价并未走高,而是出于调整结构中。由于市场预期局势失控的可能性较低,而中美贸易问题导致的全球经济衰退风险更大,需求会持续低迷,因此油价调整压力较…...
2024/5/4 23:55:17 - 氧生福地 玩美北湖(上)——为时光守候两千年
原标题:氧生福地 玩美北湖(上)——为时光守候两千年一次说走就走的旅行,只有一张高铁票的距离~ 所以,湖南郴州,我来了~ 从广州南站出发,一个半小时就到达郴州西站了。在动车上,同时改票的南风兄和我居然被分到了一个车厢,所以一路非常愉快地聊了过来。 挺好,最起…...
2024/5/7 9:26:26 - 氧生福地 玩美北湖(中)——永春梯田里的美与鲜
原标题:氧生福地 玩美北湖(中)——永春梯田里的美与鲜一觉醒来,因为大家太爱“美”照,在柳毅山庄去寻找龙女而错过了早餐时间。近十点,向导坏坏还是带着饥肠辘辘的我们去吃郴州最富有盛名的“鱼头粉”。说这是“十二分推荐”,到郴州必吃的美食之一。 哇塞!那个味美香甜…...
2024/5/4 23:54:56 - 氧生福地 玩美北湖(下)——奔跑吧骚年!
原标题:氧生福地 玩美北湖(下)——奔跑吧骚年!让我们红尘做伴 活得潇潇洒洒 策马奔腾共享人世繁华 对酒当歌唱出心中喜悦 轰轰烈烈把握青春年华 让我们红尘做伴 活得潇潇洒洒 策马奔腾共享人世繁华 对酒当歌唱出心中喜悦 轰轰烈烈把握青春年华 啊……啊……啊 两…...
2024/5/4 23:55:06 - 扒开伪装医用面膜,翻六倍价格宰客,小姐姐注意了!
原标题:扒开伪装医用面膜,翻六倍价格宰客,小姐姐注意了!扒开伪装医用面膜,翻六倍价格宰客!当行业里的某一品项火爆了,就会有很多商家蹭热度,装逼忽悠,最近火爆朋友圈的医用面膜,被沾上了污点,到底怎么回事呢? “比普通面膜安全、效果好!痘痘、痘印、敏感肌都能用…...
2024/5/5 8:13:33 - 「发现」铁皮石斛仙草之神奇功效用于医用面膜
原标题:「发现」铁皮石斛仙草之神奇功效用于医用面膜丽彦妆铁皮石斛医用面膜|石斛多糖无菌修护补水贴19大优势: 1、铁皮石斛:自唐宋以来,一直被列为皇室贡品,铁皮石斛生于海拔1600米的悬崖峭壁之上,繁殖力差,产量极低,所以古代仅供皇室、贵族享用 2、铁皮石斛自古民间…...
2024/5/4 23:55:16 - 丽彦妆\医用面膜\冷敷贴轻奢医学护肤引导者
原标题:丽彦妆\医用面膜\冷敷贴轻奢医学护肤引导者【公司简介】 广州华彬企业隶属香港华彬集团有限公司,专注美业21年,其旗下品牌: 「圣茵美」私密荷尔蒙抗衰,产后修复 「圣仪轩」私密荷尔蒙抗衰,产后修复 「花茵莳」私密荷尔蒙抗衰,产后修复 「丽彦妆」专注医学护…...
2024/5/4 23:54:58 - 广州械字号面膜生产厂家OEM/ODM4项须知!
原标题:广州械字号面膜生产厂家OEM/ODM4项须知!广州械字号面膜生产厂家OEM/ODM流程及注意事项解读: 械字号医用面膜,其实在我国并没有严格的定义,通常我们说的医美面膜指的应该是一种「医用敷料」,也就是说,医用面膜其实算作「医疗器械」的一种,又称「医用冷敷贴」。 …...
2024/5/6 21:42:42 - 械字号医用眼膜缓解用眼过度到底有无作用?
原标题:械字号医用眼膜缓解用眼过度到底有无作用?医用眼膜/械字号眼膜/医用冷敷眼贴 凝胶层为亲水高分子材料,含70%以上的水分。体表皮肤温度传导到本产品的凝胶层,热量被凝胶内水分子吸收,通过水分的蒸发带走大量的热量,可迅速地降低体表皮肤局部温度,减轻局部皮肤的灼…...
2024/5/4 23:54:56 - 配置失败还原请勿关闭计算机,电脑开机屏幕上面显示,配置失败还原更改 请勿关闭计算机 开不了机 这个问题怎么办...
解析如下:1、长按电脑电源键直至关机,然后再按一次电源健重启电脑,按F8健进入安全模式2、安全模式下进入Windows系统桌面后,按住“winR”打开运行窗口,输入“services.msc”打开服务设置3、在服务界面,选中…...
2022/11/19 21:17:18 - 错误使用 reshape要执行 RESHAPE,请勿更改元素数目。
%读入6幅图像(每一幅图像的大小是564*564) f1 imread(WashingtonDC_Band1_564.tif); subplot(3,2,1),imshow(f1); f2 imread(WashingtonDC_Band2_564.tif); subplot(3,2,2),imshow(f2); f3 imread(WashingtonDC_Band3_564.tif); subplot(3,2,3),imsho…...
2022/11/19 21:17:16 - 配置 已完成 请勿关闭计算机,win7系统关机提示“配置Windows Update已完成30%请勿关闭计算机...
win7系统关机提示“配置Windows Update已完成30%请勿关闭计算机”问题的解决方法在win7系统关机时如果有升级系统的或者其他需要会直接进入一个 等待界面,在等待界面中我们需要等待操作结束才能关机,虽然这比较麻烦,但是对系统进行配置和升级…...
2022/11/19 21:17:15 - 台式电脑显示配置100%请勿关闭计算机,“准备配置windows 请勿关闭计算机”的解决方法...
有不少用户在重装Win7系统或更新系统后会遇到“准备配置windows,请勿关闭计算机”的提示,要过很久才能进入系统,有的用户甚至几个小时也无法进入,下面就教大家这个问题的解决方法。第一种方法:我们首先在左下角的“开始…...
2022/11/19 21:17:14 - win7 正在配置 请勿关闭计算机,怎么办Win7开机显示正在配置Windows Update请勿关机...
置信有很多用户都跟小编一样遇到过这样的问题,电脑时发现开机屏幕显现“正在配置Windows Update,请勿关机”(如下图所示),而且还需求等大约5分钟才干进入系统。这是怎样回事呢?一切都是正常操作的,为什么开时机呈现“正…...
2022/11/19 21:17:13 - 准备配置windows 请勿关闭计算机 蓝屏,Win7开机总是出现提示“配置Windows请勿关机”...
Win7系统开机启动时总是出现“配置Windows请勿关机”的提示,没过几秒后电脑自动重启,每次开机都这样无法进入系统,此时碰到这种现象的用户就可以使用以下5种方法解决问题。方法一:开机按下F8,在出现的Windows高级启动选…...
2022/11/19 21:17:12 - 准备windows请勿关闭计算机要多久,windows10系统提示正在准备windows请勿关闭计算机怎么办...
有不少windows10系统用户反映说碰到这样一个情况,就是电脑提示正在准备windows请勿关闭计算机,碰到这样的问题该怎么解决呢,现在小编就给大家分享一下windows10系统提示正在准备windows请勿关闭计算机的具体第一种方法:1、2、依次…...
2022/11/19 21:17:11 - 配置 已完成 请勿关闭计算机,win7系统关机提示“配置Windows Update已完成30%请勿关闭计算机”的解决方法...
今天和大家分享一下win7系统重装了Win7旗舰版系统后,每次关机的时候桌面上都会显示一个“配置Windows Update的界面,提示请勿关闭计算机”,每次停留好几分钟才能正常关机,导致什么情况引起的呢?出现配置Windows Update…...
2022/11/19 21:17:10 - 电脑桌面一直是清理请关闭计算机,windows7一直卡在清理 请勿关闭计算机-win7清理请勿关机,win7配置更新35%不动...
只能是等着,别无他法。说是卡着如果你看硬盘灯应该在读写。如果从 Win 10 无法正常回滚,只能是考虑备份数据后重装系统了。解决来方案一:管理员运行cmd:net stop WuAuServcd %windir%ren SoftwareDistribution SDoldnet start WuA…...
2022/11/19 21:17:09 - 计算机配置更新不起,电脑提示“配置Windows Update请勿关闭计算机”怎么办?
原标题:电脑提示“配置Windows Update请勿关闭计算机”怎么办?win7系统中在开机与关闭的时候总是显示“配置windows update请勿关闭计算机”相信有不少朋友都曾遇到过一次两次还能忍但经常遇到就叫人感到心烦了遇到这种问题怎么办呢?一般的方…...
2022/11/19 21:17:08 - 计算机正在配置无法关机,关机提示 windows7 正在配置windows 请勿关闭计算机 ,然后等了一晚上也没有关掉。现在电脑无法正常关机...
关机提示 windows7 正在配置windows 请勿关闭计算机 ,然后等了一晚上也没有关掉。现在电脑无法正常关机以下文字资料是由(历史新知网www.lishixinzhi.com)小编为大家搜集整理后发布的内容,让我们赶快一起来看一下吧!关机提示 windows7 正在配…...
2022/11/19 21:17:05 - 钉钉提示请勿通过开发者调试模式_钉钉请勿通过开发者调试模式是真的吗好不好用...
钉钉请勿通过开发者调试模式是真的吗好不好用 更新时间:2020-04-20 22:24:19 浏览次数:729次 区域: 南阳 > 卧龙 列举网提醒您:为保障您的权益,请不要提前支付任何费用! 虚拟位置外设器!!轨迹模拟&虚拟位置外设神器 专业用于:钉钉,外勤365,红圈通,企业微信和…...
2022/11/19 21:17:05 - 配置失败还原请勿关闭计算机怎么办,win7系统出现“配置windows update失败 还原更改 请勿关闭计算机”,长时间没反应,无法进入系统的解决方案...
前几天班里有位学生电脑(windows 7系统)出问题了,具体表现是开机时一直停留在“配置windows update失败 还原更改 请勿关闭计算机”这个界面,长时间没反应,无法进入系统。这个问题原来帮其他同学也解决过,网上搜了不少资料&#x…...
2022/11/19 21:17:04 - 一个电脑无法关闭计算机你应该怎么办,电脑显示“清理请勿关闭计算机”怎么办?...
本文为你提供了3个有效解决电脑显示“清理请勿关闭计算机”问题的方法,并在最后教给你1种保护系统安全的好方法,一起来看看!电脑出现“清理请勿关闭计算机”在Windows 7(SP1)和Windows Server 2008 R2 SP1中,添加了1个新功能在“磁…...
2022/11/19 21:17:03 - 请勿关闭计算机还原更改要多久,电脑显示:配置windows更新失败,正在还原更改,请勿关闭计算机怎么办...
许多用户在长期不使用电脑的时候,开启电脑发现电脑显示:配置windows更新失败,正在还原更改,请勿关闭计算机。。.这要怎么办呢?下面小编就带着大家一起看看吧!如果能够正常进入系统,建议您暂时移…...
2022/11/19 21:17:02 - 还原更改请勿关闭计算机 要多久,配置windows update失败 还原更改 请勿关闭计算机,电脑开机后一直显示以...
配置windows update失败 还原更改 请勿关闭计算机,电脑开机后一直显示以以下文字资料是由(历史新知网www.lishixinzhi.com)小编为大家搜集整理后发布的内容,让我们赶快一起来看一下吧!配置windows update失败 还原更改 请勿关闭计算机&#x…...
2022/11/19 21:17:01 - 电脑配置中请勿关闭计算机怎么办,准备配置windows请勿关闭计算机一直显示怎么办【图解】...
不知道大家有没有遇到过这样的一个问题,就是我们的win7系统在关机的时候,总是喜欢显示“准备配置windows,请勿关机”这样的一个页面,没有什么大碍,但是如果一直等着的话就要两个小时甚至更久都关不了机,非常…...
2022/11/19 21:17:00 - 正在准备配置请勿关闭计算机,正在准备配置windows请勿关闭计算机时间长了解决教程...
当电脑出现正在准备配置windows请勿关闭计算机时,一般是您正对windows进行升级,但是这个要是长时间没有反应,我们不能再傻等下去了。可能是电脑出了别的问题了,来看看教程的说法。正在准备配置windows请勿关闭计算机时间长了方法一…...
2022/11/19 21:16:59 - 配置失败还原请勿关闭计算机,配置Windows Update失败,还原更改请勿关闭计算机...
我们使用电脑的过程中有时会遇到这种情况,当我们打开电脑之后,发现一直停留在一个界面:“配置Windows Update失败,还原更改请勿关闭计算机”,等了许久还是无法进入系统。如果我们遇到此类问题应该如何解决呢࿰…...
2022/11/19 21:16:58 - 如何在iPhone上关闭“请勿打扰”
Apple’s “Do Not Disturb While Driving” is a potentially lifesaving iPhone feature, but it doesn’t always turn on automatically at the appropriate time. For example, you might be a passenger in a moving car, but your iPhone may think you’re the one dri…...
2022/11/19 21:16:57