英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字,中文词皆可:


请选择你想看的字典辞典:
单词字典翻译
Azotus查看 Azotus 在百度字典中的解释百度英翻中〔查看〕
Azotus查看 Azotus 在Google字典中的解释Google英翻中〔查看〕
Azotus查看 Azotus 在Yahoo字典中的解释Yahoo英翻中〔查看〕





安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • GitHub - kha-white manga-ocr: Optical character recognition . . .
    Manga OCR can be used as a general purpose printed Japanese OCR, but its main goal was to provide a high quality text recognition, robust against various scenarios specific to manga: both vertical and horizontal text; text with furigana; text overlaid on images; wide variety of fonts and font styles; low quality images
  • Manga Text Detection Object Detection Dataset and Pre-Trained . . .
    This dataset was made to train a model that can crop out Japanese text commonly found in manga, with support for both horizontal and vertical texts as well as furigana
  • TeamFnord manga-ocr - Hugging Face
    Manga OCR can be used as a general purpose printed Japanese OCR, but its main goal was to provide a high quality text recognition, robust against various scenarios specific to manga: both vertical and horizontal text; text with furigana; text overlaid on images; wide variety of fonts and font styles; low quality images; Code is available here
  • Manga Dataset - Text Detection - Kaggle
    a collection of manga pages that have text annotation for text detection Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic Learn more
  • manga-ocr·PyPI
    Unlike many OCR models, Manga OCR supports recognizing multi-line text in a single forward pass, so that text bubbles found in manga can be processed at once, without splitting them into lines See also: You need Python 3 6 or newer
  • Manga Text Detection, Extraction Translation | sift-ocr
    SIFT-OCR, the algorithm we designed for this purpose, outperforms the baseline (Google’s Tesseract OCR) by a large margin It extracts more text blocks from speech bubbles, has higher confidence in the recognized texts, and has less noise This paper presents the details of the algorithm and qualitative performance comparison against the baseline
  • arXiv:2009. 04042v1 [cs. CV] 9 Sep 2020
    raise many challenges for text detection This work aims to binarize text in a comic genre with highly sophisticated text styles: Japanese manga To overcome the lack of a manga dataset with text annotations at a pixel level, we create our own To improve the evaluation and search of an optimal model, in addition to standard metrics in





中文字典-英文字典  2005-2009