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epidemic1_big_screen-master(3)

于 2021-01-20 发布
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下载积分: 1 下载次数: 2
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代码说明：

说明：  通过已经获取的新冠肺炎数据 预测未来走势 并用网页的形式动态呈现(The novel coronavirus pneumonia data are used to predict the future trend and to dynamically display it in webpage form.)

文件列表：

epidemic1_big_screen-master, 0 , 2020-05-19
epidemic1_big_screen-master\.idea, 0 , 2020-05-19
epidemic1_big_screen-master\.idea\epidemic1_big_screen-master.iml, 1129 , 2020-05-18
epidemic1_big_screen-master\.idea\inspectionProfiles, 0 , 2020-05-19
epidemic1_big_screen-master\.idea\inspectionProfiles\profiles_settings.xml, 174 , 2020-05-18
epidemic1_big_screen-master\.idea\misc.xml, 312 , 2020-05-18
epidemic1_big_screen-master\.idea\modules.xml, 313 , 2020-05-18
epidemic1_big_screen-master\.idea\workspace.xml, 8493 , 2020-05-19
epidemic1_big_screen-master\epidemic1, 0 , 2020-05-19
epidemic1_big_screen-master\epidemic1\__init__.py, 0 , 2020-03-03
epidemic1_big_screen-master\epidemic1\__pycache__, 0 , 2020-05-19
epidemic1_big_screen-master\epidemic1\__pycache__\__init__.cpython-37.pyc, 197 , 2020-05-18
epidemic1_big_screen-master\epidemic1\__pycache__\settings.cpython-37.pyc, 2270 , 2020-05-18
epidemic1_big_screen-master\epidemic1\__pycache__\urls.cpython-37.pyc, 1133 , 2020-05-18
epidemic1_big_screen-master\epidemic1\__pycache__\wsgi.cpython-37.pyc, 604 , 2020-05-18
epidemic1_big_screen-master\epidemic1\settings.py, 3137 , 2020-03-03
epidemic1_big_screen-master\epidemic1\urls.py, 896 , 2020-05-18
epidemic1_big_screen-master\epidemic1\wsgi.py, 395 , 2020-03-03
epidemic1_big_screen-master\epidemic_map, 0 , 2020-05-19
epidemic1_big_screen-master\epidemic_map\__init__.py, 0 , 2020-03-03
epidemic1_big_screen-master\epidemic_map\__pycache__, 0 , 2020-05-19
epidemic1_big_screen-master\epidemic_map\__pycache__\__init__.cpython-37.pyc, 200 , 2020-05-18
epidemic1_big_screen-master\epidemic_map\__pycache__\admin.cpython-37.pyc, 241 , 2020-05-18
epidemic1_big_screen-master\epidemic_map\__pycache__\models.cpython-37.pyc, 238 , 2020-05-18
epidemic1_big_screen-master\epidemic_map\__pycache__\urls.cpython-37.pyc, 578 , 2020-05-18
epidemic1_big_screen-master\epidemic_map\__pycache__\views.cpython-37.pyc, 10224 , 2020-05-19
epidemic1_big_screen-master\epidemic_map\admin.py, 63 , 2020-03-03
epidemic1_big_screen-master\epidemic_map\apps.py, 98 , 2020-03-03
epidemic1_big_screen-master\epidemic_map\migrations, 0 , 2020-05-19
epidemic1_big_screen-master\epidemic_map\migrations\__init__.py, 0 , 2020-03-03
epidemic1_big_screen-master\epidemic_map\migrations\__pycache__, 0 , 2020-05-19
epidemic1_big_screen-master\epidemic_map\migrations\__pycache__\__init__.cpython-37.pyc, 211 , 2020-05-18
epidemic1_big_screen-master\epidemic_map\models.py, 57 , 2020-03-03
epidemic1_big_screen-master\epidemic_map\tests.py, 1576 , 2020-05-19
epidemic1_big_screen-master\epidemic_map\urls.py, 361 , 2020-03-03
epidemic1_big_screen-master\epidemic_map\views.py, 13791 , 2020-05-19
epidemic1_big_screen-master\manage.py, 629 , 2020-03-03
epidemic1_big_screen-master\requirements.txt, 64 , 2020-05-19
epidemic1_big_screen-master\static, 0 , 2020-05-19
epidemic1_big_screen-master\static\css, 0 , 2020-05-19
epidemic1_big_screen-master\static\css\comon0.css, 7440 , 2020-03-03
epidemic1_big_screen-master\static\font, 0 , 2020-05-19
epidemic1_big_screen-master\static\font\DS-DIGIT.TTF, 25480 , 2020-03-03
epidemic1_big_screen-master\static\images, 0 , 2020-05-19
epidemic1_big_screen-master\static\images\bg.jpg, 258297 , 2020-03-03
epidemic1_big_screen-master\static\images\head_bg.png, 7881 , 2020-03-03
epidemic1_big_screen-master\static\images\line(1).png, 3943 , 2020-03-03
epidemic1_big_screen-master\static\js, 0 , 2020-05-19
epidemic1_big_screen-master\static\js\area_echarts1.js, 31706 , 2020-03-03
epidemic1_big_screen-master\static\js\china.js, 119973 , 2020-03-03
epidemic1_big_screen-master\static\js\echarts.min.js, 744675 , 2020-03-03
epidemic1_big_screen-master\static\js\index.html, 9009 , 2020-03-03
epidemic1_big_screen-master\static\js\jquery.js, 84380 , 2020-03-03
epidemic1_big_screen-master\static\picture, 0 , 2020-05-19
epidemic1_big_screen-master\static\picture\jt.png, 73629 , 2020-03-03
epidemic1_big_screen-master\static\picture\lbx.png, 83208 , 2020-03-03
epidemic1_big_screen-master\static\picture\loading.gif, 701 , 2020-03-03
epidemic1_big_screen-master\static\picture\map.png, 309355 , 2020-03-03
epidemic1_big_screen-master\static\picture\weather.png, 2320 , 2020-03-03
epidemic1_big_screen-master\templates, 0 , 2020-05-19
epidemic1_big_screen-master\templates\templates_map, 0 , 2020-05-19
epidemic1_big_screen-master\templates\templates_map\bigdata.html, 14085 , 2020-05-18

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0 个回复

  • LinearClassifier_1.0
    说明：  基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)
    2021-01-17 10:38:45下载
    积分：1
  • superresoly
    超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使(super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a)
    2004-11-19 18:22:31下载
    积分：1
  • SANBAN_correlation
    在MATLAB平台下，实现两幅图像的相关比较。(Under the MATLAB platform, two images are compared.)
    2018-08-22 12:04:26下载
    积分：1
  • 第三章图像灰度直方图变换
    在数字图像处理中，灰度直方图是最简单且最有用的工具，可以说，对图像的分析与观察直到形成一个有效的处理方法，都离不开直方图。(in digital image processing, the histogram is the simplest and most useful tool, it can be said that the right image analysis and observation until the formation of an effective treatment method has been based on histogram.)
    2005-06-06 19:38:58下载
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    一种基于matlab编写的免疫遗传算法程序,比较好,不过我看不懂(An immune genetic algorithm based on matlab procedures, is better, but I don t understand)
    2017-05-25 05:26:09下载
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    说明：  imx377 手册 imx377 datasheet imx377 datasheet(imx377datashee, imx377datasheet,imx377datasheet)
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    图像复原，实现inverse Filter, Wiener Filter, Lucy-richardson 算法，里面包括PPT，代码和报告。非常有价值，是我视觉的大作业。(Image restoration to achieve inverse Filter, Wiener Filter, Lucy-richardson algorithms, which include the PPT, the code and reporting. Is very valuable, is my vision of the big job.)
    2010-01-27 16:32:53下载
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    2008-12-01 11:46:05下载
    积分：1
  • PCA+SVM
    先用PCA降维，在利用支持向量机进行分类，这个分类是二分类，所以PCA的降维降到两维即可分类。(Firstly, PCA dimensionality reduction is used to conduct classification with support vector machine. This classification is binary classification, so the dimensionality reduction of PCA can be reduced to two dimensions for classification.)
    2018-12-02 16:03:37下载
    积分：1
  • mfile
    说明：  批量提取遥感影像数据，以如何在一个文件批量读取geotif数据为例(Batch extraction of remote sensing image data)
    2021-01-18 21:00:52下载
    积分：1
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