登录
首页 » Python » inpaint-object-remover-python

inpaint-object-remover-python

于 2020-11-06 发布 文件大小:611KB
0 88
下载积分: 1 下载次数: 9

代码说明:

  实现基于样本块的图像修复,是Criminisi经典图像修复算法。(Criminisi algorithm about exemplar-based inpainting)

文件列表:

inpaint-object-remover-python, 0 , 2018-09-11
inpaint-object-remover-python\.git, 0 , 2018-06-09
inpaint-object-remover-python\.git\HEAD, 23 , 2018-06-09
inpaint-object-remover-python\.git\config, 297 , 2018-06-09
inpaint-object-remover-python\.git\description, 73 , 2018-06-09
inpaint-object-remover-python\.git\hooks, 0 , 2018-06-09
inpaint-object-remover-python\.git\hooks\applypatch-msg.sample, 478 , 2018-06-09
inpaint-object-remover-python\.git\hooks\commit-msg.sample, 896 , 2018-06-09
inpaint-object-remover-python\.git\hooks\fsmonitor-watchman.sample, 3327 , 2018-06-09
inpaint-object-remover-python\.git\hooks\post-update.sample, 189 , 2018-06-09
inpaint-object-remover-python\.git\hooks\pre-applypatch.sample, 424 , 2018-06-09
inpaint-object-remover-python\.git\hooks\pre-commit.sample, 1642 , 2018-06-09
inpaint-object-remover-python\.git\hooks\pre-push.sample, 1348 , 2018-06-09
inpaint-object-remover-python\.git\hooks\pre-rebase.sample, 4898 , 2018-06-09
inpaint-object-remover-python\.git\hooks\pre-receive.sample, 544 , 2018-06-09
inpaint-object-remover-python\.git\hooks\prepare-commit-msg.sample, 1492 , 2018-06-09
inpaint-object-remover-python\.git\hooks\update.sample, 3610 , 2018-06-09
inpaint-object-remover-python\.git\index, 1923 , 2018-06-09
inpaint-object-remover-python\.git\info, 0 , 2018-06-09
inpaint-object-remover-python\.git\info\exclude, 240 , 2018-06-09
inpaint-object-remover-python\.git\logs, 0 , 2018-06-09
inpaint-object-remover-python\.git\logs\HEAD, 201 , 2018-06-09
inpaint-object-remover-python\.git\logs\refs, 0 , 2018-06-09
inpaint-object-remover-python\.git\logs\refs\heads, 0 , 2018-06-09
inpaint-object-remover-python\.git\logs\refs\heads\master, 201 , 2018-06-09
inpaint-object-remover-python\.git\logs\refs\remotes, 0 , 2018-06-09
inpaint-object-remover-python\.git\logs\refs\remotes\origin, 0 , 2018-06-09
inpaint-object-remover-python\.git\logs\refs\remotes\origin\HEAD, 201 , 2018-06-09
inpaint-object-remover-python\.git\objects, 0 , 2018-06-09
inpaint-object-remover-python\.git\objects\94, 0 , 2018-06-09
inpaint-object-remover-python\.git\objects\94\a25f7f4cb416c083d265558da75d457237d671, 155 , 2018-06-09
inpaint-object-remover-python\.git\objects\info, 0 , 2018-09-13
inpaint-object-remover-python\.git\objects\pack, 0 , 2018-06-09
inpaint-object-remover-python\.git\objects\pack\pack-971d1b8d73c8de940b75271f33636942f3d1a62a.idx, 4040 , 2018-06-09
inpaint-object-remover-python\.git\objects\pack\pack-971d1b8d73c8de940b75271f33636942f3d1a62a.pack, 283228 , 2018-06-09
inpaint-object-remover-python\.git\packed-refs, 114 , 2018-06-09
inpaint-object-remover-python\.git\refs, 0 , 2018-06-09
inpaint-object-remover-python\.git\refs\heads, 0 , 2018-06-09
inpaint-object-remover-python\.git\refs\heads\master, 41 , 2018-06-09
inpaint-object-remover-python\.git\refs\remotes, 0 , 2018-06-09
inpaint-object-remover-python\.git\refs\remotes\origin, 0 , 2018-06-09
inpaint-object-remover-python\.git\refs\remotes\origin\HEAD, 32 , 2018-06-09
inpaint-object-remover-python\.git\refs\tags, 0 , 2018-09-13
inpaint-object-remover-python\.gitignore, 11 , 2018-06-09
inpaint-object-remover-python\.idea, 0 , 2018-06-09
inpaint-object-remover-python\.idea\inpaint-object-remover.iml, 398 , 2018-06-09
inpaint-object-remover-python\.idea\inspectionProfiles, 0 , 2018-09-13
inpaint-object-remover-python\.idea\misc.xml, 299 , 2018-06-09
inpaint-object-remover-python\.idea\modules.xml, 296 , 2018-06-09
inpaint-object-remover-python\.idea\vcs.xml, 180 , 2018-06-09
inpaint-object-remover-python\.idea\workspace.xml, 9774 , 2018-06-09
inpaint-object-remover-python\README.md, 1444 , 2018-06-09
inpaint-object-remover-python\image_output.jpg, 20944 , 2018-09-11
inpaint-object-remover-python\inpainter, 0 , 2018-06-09
inpaint-object-remover-python\inpainter\__init__.py, 0 , 2018-06-09
inpaint-object-remover-python\inpainter\__main__.py, 1252 , 2018-06-09
inpaint-object-remover-python\inpainter\__pycache__, 0 , 2018-06-09
inpaint-object-remover-python\inpainter\__pycache__\__main__.cpython-36.pyc, 1209 , 2018-06-09
inpaint-object-remover-python\inpainter\__pycache__\inpainter.cpython-36.pyc, 8755 , 2018-06-09
inpaint-object-remover-python\inpainter\inpainter.py, 10962 , 2018-06-09
inpaint-object-remover-python\output.jpg, 2118 , 2018-09-11
inpaint-object-remover-python\requirements.txt, 71 , 2018-06-09
inpaint-object-remover-python\resources, 0 , 2018-06-09
inpaint-object-remover-python\resources\image1.jpg, 40124 , 2018-06-09
inpaint-object-remover-python\resources\image2.jpg, 14789 , 2018-06-09
inpaint-object-remover-python\resources\image3.jpg, 7741 , 2018-06-09
inpaint-object-remover-python\resources\image4.jpg, 28321 , 2018-06-09
inpaint-object-remover-python\resources\image5.jpg, 17247 , 2018-06-09
inpaint-object-remover-python\resources\image6.jpg, 111994 , 2018-06-09
inpaint-object-remover-python\resources\image7.jpg, 21748 , 2018-06-09
inpaint-object-remover-python\resources\mask1.jpg, 16978 , 2018-06-09
inpaint-object-remover-python\resources\mask2.jpg, 9201 , 2018-06-09
inpaint-object-remover-python\resources\mask3.jpg, 13530 , 2018-06-09
inpaint-object-remover-python\resources\mask4.jpg, 19660 , 2018-06-09
inpaint-object-remover-python\resources\mask5.jpg, 27883 , 2018-06-09
inpaint-object-remover-python\resources\mask6.jpg, 29454 , 2018-06-09
inpaint-object-remover-python\resources\mask7.jpg, 20215 , 2018-06-09

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

  • Wavelet_OMP
    压缩感知CS——采用小波变换进行稀疏表示,高斯随机矩阵为观测矩阵,重构算法为OMP算法,对256*256的lena图处理,比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果,并各运行50次,比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)
    2013-01-19 12:56:10下载
    积分:1
  • LBP
    纹理模式的LBP特征表示及分类原理:就是通过定义一个模板,对于原图像中的每个点,使用该模板进行操作,模板中心点近邻区域对应的图像象素值与中心位置对应的象素值进行比较,且对于不同位置的比较结果赋予不同的权值,从而,变换图像中对应点的值就由模板对应各位置的比较结果之权和表示。(LBP texture pattern feature representation and classification theory: that by defining a template for the original image of each point, use the template to operate, the template center of neighboring regions corresponding to the center of the image pixel values corresponding to the pixel value comparison, and the comparison results for different locations given different weights, and thus, changing the value of the image corresponding points on the template corresponding to each position by the comparison of the results of the right to and express.)
    2010-01-05 13:17:31下载
    积分:1
  • 256bmp
    对256bmp进行图象处理 对256bmp进行图象处理(256bmp carried out on the image processing carried out on 256bmp image processing)
    2007-10-26 16:13:28下载
    积分:1
  • abc
    八种图像置乱方法:希尔伯特变换、采样置乱、ZIGZIG置乱、等等等等(Eight kinds of image scrambling method)
    2012-01-10 21:03:36下载
    积分:1
  • IRobustmultist
    这是一个关于鲁棒的多传感器图图像配准程序的算法可直接使用。 (This is a robust multi-sensor chart image registration procedures of the algorithm can be used directly.)
    2012-07-24 10:21:48下载
    积分:1
  • tuxiang
    图像分割关系到目标识别的精度,是目标检测的关键一步,其中提供了一些图像分割的代码,主要为otsu算法的分割方法,很实用(s related to the accuracy of target recognition, image segmentation is a critical step in target detection, provides some image segmentation code, very useful)
    2013-10-18 17:49:06下载
    积分:1
  • hyergraph
    几个流行的超图匹配代码 张量,随机游动,谱的(hyergraph matching)
    2011-11-19 10:01:13下载
    积分:1
  • zernike
    利用Zernike方法对圆形标志点中心进行提取(The circular mark center is extracted by Zernike method.)
    2018-07-09 22:40:52下载
    积分:1
  • yuezhifenggedejizhngsuanfa
    在做图像处理时用遇到图像的阈值分割,这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)
    2013-11-22 16:01:06下载
    积分:1
  • ROFdenoise
    功能:应用Rudin-Osher-Fatemi模型进行图像去噪,在ROFtest.m 中输入图像,附带文档ROFscheme内容为此模型的数值分析过程,比较详细,适合初学者(Classic 􏰉 Rudin-Osher-Fatemi model denoising, the including documentation is the numerical analysis process of the model in detail, suitable for beginners)
    2021-04-09 23:28:59下载
    积分:1
  • 696518资源总数
  • 104230会员总数
  • 58今日下载