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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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发表评论

0 个回复

  • nie_dy08
    可直接计算得到多重分形谱,用于建立主成分分析模型，保证准确无误，是学习通信的好帮手。( It can be directly calculated multi-fractal spectrum, Principal component analysis model for establishing, Ensure accurate communication is learning a good helper.)
    2017-05-29 20:03:48下载
    积分：1
  • mx-maskrcnn-master
    说明：  我们提出了一个简单、灵活和通用的对象实例分割框架。我们的方法能有效检测图像中的对象，同时为每个实例生成高质量的 segmentation mask。这种被称为 Mask R-CNN 的方法通过添加用于预测 object mask 的分支来扩展 Faster R-CNN，该分支与用于边界框识别的现有分支并行。Mask R-CNN 训练简单，只需在以 5fps 运行的 Faster R-CNN 之上增加一个较小的 overhead。此外，Mask R-CNN 很容易推广到其他任务，例如它可以允许同一个框架中进行姿态估计。我们在 COCO 系列挑战的三个轨道任务中均取得了最佳成果，包括实例分割、边界对象检测和人关键点检测。没有任何 tricks，Mask R-CNN 的表现优于所有现有的单一模型取得的成绩，包括 COCO 2016 挑战赛的冠军。(Mask R-CNN code by HeKaiming)
    2020-06-17 15:20:12下载
    积分：1
  • 2
    说明：  基于boosted的粒子滤波，用于冰球的跟踪(Based on the boosted particle filter for tracking hockey)
    2010-03-09 13:56:56下载
    积分：1
  • dpca
    基于DPCA算法的动目标检测，非常实用，希望对你有帮助(DPCA-based moving target detection algorithm is very useful and would like to help you)
    2021-04-23 10:38:48下载
    积分：1
  • sift_demo_src
    sift Algorithm made by David Lowe sift demo
    2020-07-01 05:20:01下载
    积分：1
  • 全息成像（上传至Pudn）
    用于全息成像的算法，采用球面波照射物体，进行图像还原，代码可运行。(The algorithm for holographic imaging uses spherical wave to illuminate objects and restore images, so the code can run.)
    2021-03-11 15:19:26下载
    积分：1
  • Rail-Lane-Lines-master (1)
    说明：  铁轨线检测，可以完成对直轨和弯轨的检测，效果较好(Rail line detection, can complete the detection of straight rail and curved rail, the effect is good)
    2021-03-08 14:39:28下载
    积分：1
  • RCS_Results
    我用VC编的一个画图程序：其中使用了切分视图(I VC series a drawing program : the use of split View)
    2004-10-27 18:30:38下载
    积分：1
  • RegionGrow921
    基于区域增长的图像分割算法，非常经典，用MATLAB编写，已测试可用，对新手有帮助(Based on region growing image segmentation algorithm, very classic, with MATLAB writing, have been tested is available on the novice help)
    2009-09-27 14:56:34下载
    积分：1
  • rigid3D
    3维坐标变换应用于3维图像配准 要下的快啊(3-D coordinate transformation applied to 3-dimensional image registration should be under快啊)
    2007-08-20 19:41:14下载
    积分：1
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