登录
首页 » Python » DeblurGAN-master

DeblurGAN-master

于 2020-11-02 发布
0 357
下载积分: 1 下载次数: 2
我要下载

代码说明：

说明：  采用生成对抗网络（GAN）实现图像去模糊，用于图像的清晰化处理(The generated countermeasure network (GAN) is used to remove the blur of the image, which is used to clear the image)

文件列表：

DeblurGAN-master, 0 , 2020-03-12
DeblurGAN-master\.gitignore, 1878 , 2020-03-12
DeblurGAN-master\.vscode, 0 , 2020-03-12
DeblurGAN-master\.vscode\settings.json, 38 , 2020-03-12
DeblurGAN-master\LICENSE, 35149 , 2020-03-12
DeblurGAN-master\README.md, 34 , 2020-03-12
DeblurGAN-master\code, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\.gitignore, 43 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\LICENSE, 3565 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\README.md, 3804 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\__init__.py, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\aligned_dataset.py, 1918 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\base_data_loader.py, 195 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\base_dataset.py, 1605 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\custom_dataset_data_loader.py, 1391 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\data_loader.py, 234 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\image_folder.py, 1946 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\single_dataset.py, 815 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\data\unaligned_dataset.py, 1441 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\A, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\A\box_in_scene, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\A\box_in_scene\getDataSet.sh, 77 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\B, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\B\box_in_scene, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\B\box_in_scene\getDataSet.sh, 93 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\combine_A_and_B.py, 2143 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\helper functions, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\datasets\helper functions\grayscale.py, 1397 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\__init__.py, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\base_model.py, 1568 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\conditional_gan_model.py, 4595 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\losses.py, 5991 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\models.py, 342 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\networks.py, 17136 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\models\test_model.py, 1668 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\motion_blur, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\motion_blur\__init__.py, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\motion_blur\blur_image.py, 5521 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\motion_blur\generate_PSF.py, 4068 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\motion_blur\generate_trajectory.py, 5370 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\options, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\options\__init__.py, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\options\base_options.py, 5149 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\options\test_options.py, 847 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\options\train_options.py, 2450 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\run.sh, 95 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\test.py, 1537 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\train.py, 2542 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\__init__.py, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\get_data.py, 3511 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\html.py, 1912 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\image_pool.py, 1109 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\metrics.py, 1488 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\png.py, 978 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\util.py, 2148 , 2020-03-12
DeblurGAN-master\code\DeblurGANv1\util\visualizer.py, 6128 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\LICENSE, 3565 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\QA.md, 351 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\README.md, 5767 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\adversarial_trainer.py, 2677 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\aug.py, 3415 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\config, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\config\config.yaml, 1300 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\dataset.py, 5275 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\getDataSet.sh, 77 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\png2jpg.py, 849 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\train, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\train\A, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\train\A\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\train\B, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\train\B\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\train\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\val, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\val\A, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\val\A\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\val\B, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\val\B\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\datasets\val\README.md, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\metric_counter.py, 2130 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\__init__.py, 0 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\fpn_densenet.py, 4990 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\fpn_inception.py, 6466 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\fpn_inception_simple.py, 5814 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\fpn_mobilenet.py, 5688 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\fpn_mobilenet.py~HEAD, 5652 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\losses.py, 10536 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\mobilenet_v2.py, 4214 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\models.py, 1082 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\networks.py, 12779 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\senet.py, 16334 , 2020-03-12
DeblurGAN-master\code\DeblurGANv2\models\unet_seresnext.py, 5623 , 2020-03-12

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • About-me-icon
    free image to be used freely
    2014-09-01 22:30:50下载
    积分：1
  • facereganization
    人脸识别的实例，其中含有项目题目，解决方案以及实现程序和工具箱(Examples of face recognition, which contains the project topic, the solution as well as the implementation procedures and toolbox)
    2009-02-23 20:15:23下载
    积分：1
  • 二维高斯滤波matlab
    此程序是应用于图形图像处理，基于matlab软件的二维高斯滤波算法实现。(This program is applied to graphics and image processing, based on MATLAB software two-dimensional Gauss filtering algorithm.)
    2020-06-29 09:00:02下载
    积分：1
  • bp-classification
    使用bp（反向传播算法）实现分类问题，并观察分类过程中误差的变化。(Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error.)
    2009-12-27 09:32:56下载
    积分：1
  • mesh
    三维模型的网格简化算法，通过删除边来减少面片个数，同时保留图形特征(Three-dimensional model of the mesh simplification algorithm to reduce the number of patches by removing the side, while retaining graphic features)
    2014-04-01 14:42:35下载
    积分：1
  • meanshift
    这是本人写的利用均值平移算法分割图像，同时包括分割后的图像合并(Mean-Shift algorithm for image segmentation)
    2009-09-28 15:48:57下载
    积分：1
  • 可以在ABaqus中模拟出三维多晶体Desktop
    可以在ABaqus中模拟出三维多晶体，加入取向模拟晶粒的受力情况。(The three-dimensional polycrystal can be simulated in ABaqus, and the force of the grain can be simulated with the orientation.)
    2020-07-18 10:48:50下载
    积分：1
  • CEClassical
    典型的LSB水印嵌入和提取算法，它是一个基本的matlab程序，可以帮助初学者入门 (typical LSB embedding and extraction algorithm, which is a basic Matlab procedures, Portal can help beginners)
    2007-05-24 16:39:27下载
    积分：1
  • 利用聚类技术实现纹理分割
    说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)
    2020-12-06 17:59:22下载
    积分：1
  • GEE平台LULC分类
    说明：  基于Landsat8卫星影像数据，在GEE平台中的监督分类(Supervised classification based on landsat8 satellite image data in GEE platform)
    2020-12-27 19:04:14下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！