octave package 安装怎么安装package

From Octave
is part of the octave-forge project. See its
for the latest release.
Follows an incomplete list of stuff missing in the image package to be matlab compatible. Bugs are not listed here,
them on the bug tracker instead.
The following are missing targets for the next minor release of the image package (version 2.8.0).
Small bug fixes, build fixes, and regressions may still be released before in a patch release (Version 2.6.X).
add ellipse properties to regionprops (see bug )
speed up regionprops for large images with many small objects (probably work around for loop with labeled == labelid)
support passing bwconncomp output to regionprops (and then fix bwpropfilt to use that instead of a labeled image)
ND support on imfilter
check if normxcorr2 is Matlab compatible and investigate making use of fftconvn since it's likely to receive large input
investigate implementing the missing deconvolution functions (see patch )
anything else that is done or submitted before the above are done
Note: this entire section is about the current development version. If a Matlab function is missing from the list and does not appear on the current release of the package, confirm that is also missing in the
before adding it.
activecontour
adapthisteq
applycform
bwconvhull
bwdistgeodesic
bwtraceboundary
bwulterode
cornermetric
cpstruct2pairs
deconvblind
deconvlucy
decorrstretch
getimagemodel
gradientweight
graycoprops
grayconnected
graydiffweight
houghlines -- (see hough_line)
houghpeaks
ImageAdapter
imapplymatrix
imboxfilt3
imcolormaptool
imcontrast
imdisplayrange
imdistline
imextendedmax
imextendedmin
imfindcircles
imfreehand
imgaborfilt
imgaussfilt
imgaussfilt3
imguidedfilter
imhistmatch
imimposemin
imoverview
imoverviewpanel
impixelinfo
impixelinfoval
impixelregionpanel
impixelregion
imregconfig
imregdemons
imregister
imregtform
imscrollpanel
imseggeodesic
imshowpair
integralBoxFilter
integralBoxFilter3
integralImage
integralImage3
interfileinfo
interfileread
iptaddcallback
iptcheckhandle
iptGetPointerBehavior
iptgetpref
ipticondir
iptPointerManager
iptremovecallback
iptSetPointerBehavior
iptsetpref
iptwindowalign
makeConstrainToRectFcn
makeresampler
multithresh
projective2d
regionfill
tformarray
visboundaries
viscircles
whitepoint
xyz2double
xyz2uint16
with version 2014a, Matlab introduced a new function imtranslate. This function was part of Octave's package since 2002 but Matlab version is completely different. It needs to be rewritten for Matlab compatibility.
missing SE decomposition for the diamond shape
approximation argument for the ball and disk shapes are not implemented
the translate method is not yet implemented
The name-value input arguments have not yet been implemented.
the option to split the image in smaller blocks before performing the im2col and filtering is ignored. Since that option only allows to use less memory and has no effect on the output is only important for sliding filtering with big blocks size.
interactive selection of points (less than 2 input arguments) is not yet implemented. Ability to create such UIs needs to be implemented in Octave core first.
messing around with alternative coordinate systems (XData and YData) are not yet implemented.
no supports for SmoothEdges option
no RhoResolution option
It'd help to group the missing functions above, as per
(similar to what was done in the
wiki page); please keep the original alphabetical list intact.
image package: fails to build with --enable-64 (entropyfilt)
image package: graycomatrix incompatibilities with matlab
image package: __spatial_filtering__() always returns class double
image package: temporary arrays in imresize are doubles
imdither() calls imwrite() in the wrong way (Package: image)
image package: imshear causes more signal spread than expected and inconsistent vertical offset
image package: bwmorph shrink does not preserve Euler number
image package: imrotate chrashes when using 'spline' as interpolation method
image package: imrotate - different dimensions of output matrix
image package: rangefilt requires domain and image to have equal number of dimensions
Patch Reviewed
image package: grayhresh fails if input doesn't have different values
Patch Submitted
image package: imresize default method (bicubic) Matlab incompatible for the border pixels
label2rgb from image-package doesn't work for labels with value above the uint16 limit
image package: compilation warnings under Mac OSX
image package: imreconstruct should clip marker & mask
image package - regionprops.m majoraxislength broken
Patch Submitted
OF image: bwfill(...,4) in Octave behaves like bwfill(...,8) in MATLAB and vice versa
image package: normxcorr2 sometimes returns inf values
Patch Reviewed
image package: normxcorr2 is not compatible with Matlab
image package: bwperim result on 1x1 input incorrect
Patch Reviewed
OF-image fails to build with dev Octave (4.3.0+)
image package: poly2mask does incompatible rounding
image package: imtranslate is not Matlab compatible
Missing Function imrect in image package
image package: xyz2lab changed slightly in Matlab (and other color conversion functions)
: [new function for image package] ranktf.m
: [image package new function] whitepoint.m
: implement impixelinfo and impixelinfoval
: image package: Extended image I/O for Analyze 7.5 format to handle big-endian images
: image package: add metainfo.xml file for Gnome Software
: image package: three deconvolution routines (Wiener, RL, RLTV)
: added affine2d class
: image package: improve filtering functions (stdfilt, entropyfilt) and add tests (also medfilt2, ordfilt2, rangefilt)
: image package: regionprops.m - new properties ConvexHull, ConvexImage, ConvexArea, Solidity
: Image package: imsharpen
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This page was last modified on 16 March 2017, at 05:46.君,已阅读到文档的结尾了呢~~
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分类: 数据仓库与数据挖掘
环境: Ubuntu 12.04, octave 3.8.2
DeepLearnToolbox是matlab/octave的深度学习工具箱,包括Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets。
下面运行下里面的测试程序:
1. 下载DeepLearnToolbox
& &git clone&/rasmusbergpalm/DeepLearnToolbox.git
2. 启动Octave
3. 安装DeepLearnToolbox
& octave:1>&addpath(genpath('DeepLearnToolbox'));
4. 将目录./DeepLearnToolbox/tests/test_example_SAE.m的内容复制到octave的命令行内,最后一行增加""
5. 运行刚才定义的函数
& &octave:8> test_example_SAE;
6. 运行结果出现绘制的图片和执行结果
octave:11> test_example_SAE
warning: load: file found in load path
Training AE 1/1
epoch 1/1. Took 21.469 seconds. Mini-batch mean squared error on training set is 10.61; Full-batch train err = 11.049844
epoch 1/1. Took 8.4329 seconds. Mini-batch mean squared error on training set is 0.2197; Full-batch train err = 0.094171
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