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关键字：recognize

  • tesseract.js：超过100种语言的纯Javascript OCR:open_book::party_popper::d... ... .js包装了 引擎的。 它的工作原理在使用浏览器或纯脚本标记与与服务器上的。 ，使用起来很简单： import Tesseract from 'tesseract.js' ; Tesseract . recognize ( 'https://tesseract.projectnaptha.com/img/eng_bw.png' , 'eng' , { logger : m => console . log ( m ) } ) . then ( ( { data : { text } } ...
  • 手势识别：使用OpenCV和Python识别“手势” 手势识别 使用OpenCV和Python识别“手势”。 需要图书馆 cv2 不实用 麻木 斯克莱恩 用法 python segment.py python recognize.py python recognize-image.py 要了解其工作原理，请阅读下面的博客文章。
  • Measurement of ocular axial length using full-range spectral-dom... ... -LCI). To address the limit in measuring such a large range by using SD-LCI, we propose a full-range method to recognize the positive and negative depths. The reference arm length is changed synchronously with the shift of the focal point of the probing ...
  • The Method of a Gene Sequence Alignment BWT Index Based on Hadoo... Gene sequence alignment, used to recognize the homology and variability in different species, is an important part of Bioinformatics. Creating indexes is a crucial step of gene sequence alignment algorithm. Usual algorithms of creating indexes are divided ...
  • ENCYCLOPEDIA ENHANCED SEMANTIC EMBEDDING FOR ZERO-SHOT LEARNING There are tremendous object categories in the real world besides those in image datasets. Zero-shot learning aims to recognize image categories which are unseen in the training set. A large number of previous zero-shot learning models use word vectors of ...
  • Recognition of Acoustic Effective Relaxational Lines for Gas Det... ... at two frequencies. In this paper, we propose a sensing method based on the minimum distance clustering to recognize acoustic effective relaxational Lines, which are composed of acoustic absorption spectral peaks, for gas concentration detection. Si
  • Real time human motion recognition via spiking neural network Real time human action recognition is to recognize the human motion type based on skeleton movement in real time and is always a challenging task. In this paper, a novel method is proposed to accomplish the classification by using Spiking neural network ( ...
  • A new affine invariant descriptor for shape recognition Shape is considered to be one of the most promising tools to represent and recognize an object. In this paper, an effective and rigorous shape descriptor is developed for shape recognition under affine transformations. To reflect the gray information of ...
  • Robust automatic facial expression detection method based on spa... Recently the sparse representation based classification (SRC) is successfully used to automatically recognize facial expression, well-known for its ability to solve occlusion and corruption problems. The results of those methods which using different ...
  • SProtP: A Web Server to Recognize Those Short-Lived Proteins Bas... Protein turnover metabolism plays important roles in cell cycle progression, signal transduction, and differentiation. Those proteins with short half-lives are involved in various regulatory processes. To better understand the regulation of cell process, ...