plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | openbci-archive/OpenBCI_MATLAB-master | strsplit.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/strsplit.m | 575 | utf_8 | 101709ab8c43f04c562a823f51ef2201 | % Splits a string into a cell array of strings.
%
% Input arguments:
% string:
% a string to split into a cell array
% adjoiner:
% string separating each neighboring element
%
% See also: strjoin
% Copyright 2008-2009 Levente Hunyadi
function strings = strsplit(string, adjoiner)
if nargin < 2
... |
github | openbci-archive/OpenBCI_MATLAB-master | nestedfetch.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/nestedfetch.m | 1,037 | utf_8 | 1065f979994414a4f92c0ee46e688ef5 | % Fetches the value of the named property of an object or structure.
% This function can deal with nested properties.
%
% Input arguments:
% obj:
% the handle or value object the value should be assigned to
% name:
% a property name with dot (.) separating property names at
% different hierarchy levels... |
github | openbci-archive/OpenBCI_MATLAB-master | findobjuser.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/findobjuser.m | 1,435 | utf_8 | 31950ae497a4c1a4eaaaa02ceb769801 | % Find handle graphics object with user data check.
% Retrieves those handle graphics objects (HGOs) that have the specified
% Tag property and whose UserData property satisfies the given predicate.
%
% Input arguments:
% fcn:
% a predicate (a function that returns a logical value) to test against
% the HG... |
github | openbci-archive/OpenBCI_MATLAB-master | hlp_matlab_version.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/hlp_matlab_version.m | 642 | utf_8 | 56356c36dd8e15038caa4dc7b15b62b5 | function v = hlp_matlab_version()
% Get the MATLAB version in a numeric format that can be compared with <, >, etc.
persistent vers;
try
v = vers(1);
catch
v = strsplit(version,'.'); v = str2num(v{1})*100 + str2num(v{2});
vers = v;
end
% Split a string according to some delimiter(s). Not as fast as hlp_spl... |
github | openbci-archive/OpenBCI_MATLAB-master | javaStringArray.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/javaStringArray.m | 650 | utf_8 | e90f222d2061320a2f7db70ca2a7dd52 | % Converts a MatLab cell array of strings into a java.lang.String array.
%
% Input arguments:
% str:
% a cell array of strings (i.e. a cell array of char row vectors)
%
% Output arguments:
% arr:
% a java.lang.String array instance (i.e. java.lang.String[])
%
% See also: javaArray
% Copyright 2009-20... |
github | openbci-archive/OpenBCI_MATLAB-master | var2str.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/var2str.m | 458 | utf_8 | 2f91ba4e78a2e61012279db4d2dc609f | % Textual representation of any MatLab value.
% Copyright 2009 Levente Hunyadi
function s = var2str(value)
if islogical(value) || isnumeric(value)
s = num2str(value);
elseif ischar(value) && isvector(value)
s = reshape(value, 1, numel(value));
elseif isjava(value)
s = char(value); % calls java.... |
github | openbci-archive/OpenBCI_MATLAB-master | getclassfield.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/getclassfield.m | 393 | utf_8 | afb53cd543b7b10efb50861b8427a061 | % Field value of each object in an array or cell array.
%
% See also: getfield
% Copyright 2010 Levente Hunyadi
function values = getclassfield(objects, field)
values = cell(size(objects));
if iscell(objects)
for k = 1 : numel(values)
values{k} = objects{k}.(field);
end
else
for k = 1... |
github | openbci-archive/OpenBCI_MATLAB-master | arrayfilter.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/arrayfilter.m | 504 | utf_8 | 16ad8bf9799bb4f6f4b59c80436e4412 | % Filter elements of array that meet a condition.
% Copyright 2010 Levente Hunyadi
function array = arrayfilter(fun, array)
validateattributes(fun, {'function_handle'}, {'scalar'});
if isobject(array)
filter = false(size(array));
for k = 1 : numel(filter)
filter(k) = fun(array(k));
end... |
github | openbci-archive/OpenBCI_MATLAB-master | constructor.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/constructor.m | 2,154 | utf_8 | 9da591550a8c3a29766b663278c282b2 | % Sets public properties of a MatLab object using a name-value list.
% Properties are traversed in the order they occur in the class definition.
% Copyright 2008-2009 Levente Hunyadi
function obj = constructor(obj, varargin)
assert(isobject(obj), ...
'Function operates on MatLab new-style objects only.');
... |
github | openbci-archive/OpenBCI_MATLAB-master | hlp_varargin2struct.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/hlp_varargin2struct.m | 6,267 | utf_8 | a185d699c488adb84cda30f6db5facda | function res = hlp_varargin2struct(args, varargin)
% Convert a list of name-value pairs into a struct with values assigned to names.
% struct = hlp_varargin2struct(Varargin, Defaults)
%
% In:
% Varargin : cell array of name-value pairs and/or structs (with values assigned to names)
%
% Defaults : optional list of n... |
github | openbci-archive/OpenBCI_MATLAB-master | finputcheck.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/finputcheck.m | 8,676 | utf_8 | 98c5e52d4a9cd0c05a41cee29d409e4b | % finputcheck() - check Matlab function {'key','value'} input argument pairs
%
% Usage: >> result = finputcheck( varargin, fieldlist );
% >> [result varargin] = finputcheck( varargin, fieldlist, ...
% callingfunc, mode, verbose );
% Input:
% varargin - Cell array ... |
github | openbci-archive/OpenBCI_MATLAB-master | nestedassign.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/nestedassign.m | 1,507 | utf_8 | 08c578ceaca65281fe25ff69a7f1965f | % Assigns the given value to the named property of an object or structure.
% This function can deal with nested properties.
%
% Input arguments:
% obj:
% the structure, handle or value object the value should be assigned to
% name:
% a property name with dot (.) separating property names at
% different... |
github | openbci-archive/OpenBCI_MATLAB-master | javaArrayList.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/javaArrayList.m | 768 | utf_8 | 07be575b8c5c8bf345ff7fa491868d97 | % Converts a MatLab array into a java.util.ArrayList.
%
% Input arguments:
% array:
% a MatLab row or column vector (with elements of any type)
%
% Output arguments:
% list:
% a java.util.ArrayList instance
%
% See also: javaArray
% Copyright 2010 Levente Hunyadi
function list = javaArrayList(array)... |
github | openbci-archive/OpenBCI_MATLAB-master | inputgui.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/inputgui.m | 10,959 | utf_8 | fd03c91d634fa551077cfb845a762aeb | % inputgui() - A comprehensive gui automatic builder. This function helps
% to create GUI very quickly without bothering about the
% positions of the elements. After creating a geometry,
% elements just place themselves in the predefined
% locations. It is especial... |
github | endernewton/PixelNet-master | classification_demo.m | .m | PixelNet-master/caffe48/matlab/demo/classification_demo.m | 5,412 | utf_8 | 8f46deabe6cde287c4759f3bc8b7f819 | function [scores, maxlabel] = classification_demo(im, use_gpu)
% [scores, maxlabel] = classification_demo(im, use_gpu)
%
% Image classification demo using BVLC CaffeNet.
%
% IMPORTANT: before you run this demo, you should download BVLC CaffeNet
% from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html)
%
% *****... |
github | Slepian/Slepian-master | demos_slepian_hotel.m | .m | Slepian-master/demos_slepian_hotel.m | 28,457 | utf_8 | 11490ce2564fd7df39a9877b6105a00a | function demos_slepian_hotel(wht)
% demos_slepian_hotel(wht)
%
% The Slepian functions are constructed to optimally solve -grad(V) = d
% for the scalar potential V, where d is either the measured radial
% component of the field or all three components.
%
% INPUT:
%
% wht Choose your example:
% 1 Generate and pl... |
github | jimeiyang/objectContourDetector-master | LDA.m | .m | objectContourDetector-master/caffe-cedn/matlab/LDA.m | 8,422 | utf_8 | 74150eba753cd0a5e41e8f51034686d8 | function [eigvector, eigvalue] = LDA(gnd,options,data)
% LDA: Linear Discriminant Analysis
%
% [eigvector, eigvalue] = LDA(gnd, options, data)
%
% Input:
% data - Data matrix. Each row vector of fea is a data point.
% gnd - Colunm vector of the label information for ea... |
github | jimeiyang/objectContourDetector-master | prepare_batch.m | .m | objectContourDetector-master/caffe-cedn/matlab/caffe/prepare_batch.m | 1,298 | utf_8 | 68088231982895c248aef25b4886eab0 | % ------------------------------------------------------------------------
function images = prepare_batch(image_files,IMAGE_MEAN,batch_size)
% ------------------------------------------------------------------------
if nargin < 2
d = load('ilsvrc_2012_mean');
IMAGE_MEAN = d.image_mean;
end
num_images = length... |
github | jimeiyang/objectContourDetector-master | matcaffe_demo.m | .m | objectContourDetector-master/caffe-cedn/matlab/caffe/matcaffe_demo.m | 3,344 | utf_8 | 669622769508a684210d164ac749a614 | function [scores, maxlabel] = matcaffe_demo(im, use_gpu)
% scores = matcaffe_demo(im, use_gpu)
%
% Demo of the matlab wrapper using the ILSVRC network.
%
% input
% im color image as uint8 HxWx3
% use_gpu 1 to use the GPU, 0 to use the CPU
%
% output
% scores 1000-dimensional ILSVRC score vector
%
% You m... |
github | jimeiyang/objectContourDetector-master | imagesAlign.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/videos/imagesAlign.m | 8,409 | utf_8 | 35c2785931e620bc56566f443a5823f7 | function [H,Ip] = imagesAlign( I, Iref, varargin )
% Fast and robust estimation of homography relating two images.
%
% The algorithm for image alignment is a simple but effective variant of
% the inverse compositional algorithm. For a thorough overview, see:
% "Lucas-kanade 20 years on A unifying framework,"
% ... |
github | jimeiyang/objectContourDetector-master | opticalFlow.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/videos/opticalFlow.m | 7,587 | utf_8 | 08ec9aba216844a2d5056d5bec3dc7eb | function [Vx,Vy,reliab] = opticalFlow( I1, I2, varargin )
% Coarse-to-fine optical flow using Lucas&Kanade or Horn&Schunck.
%
% Implemented 'type' of optical flow estimation:
% LK: http://en.wikipedia.org/wiki/Lucas-Kanade_method
% HS: http://en.wikipedia.org/wiki/Horn-Schunck_method
% SD: Simple block-based s... |
github | jimeiyang/objectContourDetector-master | seqWriterPlugin.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/videos/seqWriterPlugin.m | 8,540 | utf_8 | a682308b0dce017287483360e2c6452f | function varargout = seqWriterPlugin( cmd, h, varargin )
% Plugin for seqIo and videoIO to allow writing of seq files.
%
% Do not call directly, use as plugin for seqIo or videoIO instead.
% The following is a list of commands available (swp=seqWriterPlugin):
% h=swp('open',h,fName,info) % Open a seq file for wri... |
github | jimeiyang/objectContourDetector-master | kernelTracker.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/videos/kernelTracker.m | 9,641 | utf_8 | 4e1eae0a8a461d70eb7414a33112de57 | function [allRct, allSim, allIc] = kernelTracker( I, prm )
% Kernel Tracker from Comaniciu, Ramesh and Meer PAMI 2003.
%
% Implements the algorithm described in "Kernel-Based Object Tracking" by
% Dorin Comaniciu, Visvanathan Ramesh and Peter Meer, PAMI 25, 564-577,
% 2003. This is a fast tracking algorithm that ... |
github | jimeiyang/objectContourDetector-master | seqIo.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/videos/seqIo.m | 17,529 | utf_8 | a5e3f0d8b53147a8e60c6aa03a0822f4 | function out = seqIo( fName, action, varargin )
% Utilities for reading and writing seq files.
%
% A seq file is a series of concatentated image frames with a fixed size
% header. It is essentially the same as merging a directory of images into
% a single file. seq files are convenient for storing videos because: ... |
github | jimeiyang/objectContourDetector-master | seqReaderPlugin.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/videos/seqReaderPlugin.m | 9,908 | utf_8 | a33b38d891c8413229a6d10a0b86a8d5 | function varargout = seqReaderPlugin( cmd, h, varargin )
% Plugin for seqIo and videoIO to allow reading of seq files.
%
% Do not call directly, use as plugin for seqIo or videoIO instead.
% The following is a list of commands available (srp=seqReaderPlugin):
% h = srp('open',h,fName) % Open a seq file for rea... |
github | jimeiyang/objectContourDetector-master | pcaApply.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/pcaApply.m | 3,483 | utf_8 | 9daebac8a3d47d48bc44b7fe6ec75d1c | function varargout = pcaApply( X, U, mu, k )
% Companion function to pca.
%
% Use pca.m to retrieve the principal components U and the mean mu from a
% set of vectors x, then use pcaApply to get the first k coefficients of
% x in the space spanned by the columns of U. See pca for general usage.
%
% If x is large... |
github | jimeiyang/objectContourDetector-master | forestTrain.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/forestTrain.m | 6,337 | utf_8 | 6d827f93990f88a67f0d521f830dd265 | function forest = forestTrain( data, hs, varargin )
% Train random forest classifier.
%
% Dimensions:
% M - number trees
% F - number features
% N - number input vectors
% H - number classes
%
% USAGE
% forest = forestTrain( data, hs, [varargin] )
%
% INPUTS
% data - [NxF] N length F feature vect... |
github | jimeiyang/objectContourDetector-master | fernsRegTrain.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/fernsRegTrain.m | 6,124 | utf_8 | f9b14e3d1f44a49472022479f35615fb | function [ferns,ysPr] = fernsRegTrain( data, ys, varargin )
% Train boosted fern regressor.
%
% Boosted regression using random ferns as the weak regressor. See "Greedy
% function approximation: A gradient boosting machine", Friedman, Annals of
% Statistics 2001, for more details on boosted regression.
%
% A few... |
github | jimeiyang/objectContourDetector-master | rbfDemo.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/rbfDemo.m | 3,092 | utf_8 | d6d2ee9e5afdcd3dc89bd5a250c45a52 | function rbfDemo( dataType, noiseSig, scale, k, cluster, show )
% Demonstration of rbf networks for regression.
%
% See rbfComputeBasis for discussion of rbfs.
%
% USAGE
% rbfDemo( dataType, noiseSig, scale, k, cluster, show )
%
% INPUTS
% dataType - 0: 1D sinusoid
% 1: 2D sinusoid
% ... |
github | jimeiyang/objectContourDetector-master | pdist2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/pdist2.m | 5,407 | utf_8 | 952fc9c0a6b35dcc57a027af4a7ad0cd | function D = pdist2( X, Y, metric )
% Calculates the distance between sets of vectors.
%
% Let X be an m-by-p matrix representing m points in p-dimensional space
% and Y be an n-by-p matrix representing another set of points in the same
% space. This function computes the m-by-n distance matrix D where D(i,j)
% i... |
github | jimeiyang/objectContourDetector-master | pca.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/pca.m | 3,391 | utf_8 | 4fa288fd4b4c7e935ac455038d927e40 | function [U,mu,vars] = pca( X )
% Principal components analysis (alternative to princomp).
%
% A simple linear dimensionality reduction technique. Use to create an
% orthonormal basis for the points in R^d such that the coordinates of a
% vector x in this basis are of decreasing importance. Instead of using all
%... |
github | jimeiyang/objectContourDetector-master | kmeans2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/classify/kmeans2.m | 5,434 | utf_8 | b3e2fa4de99d33fb44b4e3c6943bd5d3 | function [ IDX, C, d ] = kmeans2( X, k, varargin )
% Fast version of kmeans clustering.
%
% Cluster the N x p matrix X into k clusters using the kmeans algorithm. It
% returns the cluster memberships for each data point in the N x 1 vector
% IDX and the K x p matrix of cluster means in C.
%
% This function is in... |
github | jimeiyang/objectContourDetector-master | acfModify.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/detector/acfModify.m | 4,365 | utf_8 | 953c8f9fc517f7343b01c4017a46e819 | function detector = acfModify( detector, varargin )
% Modify aggregate channel features object detector.
%
% Takes an object detector trained by acfTrain() and modifies it. Only
% certain modifications are allowed to the detector and the detector should
% never be modified directly (this may cause the detector to ... |
github | jimeiyang/objectContourDetector-master | acfDetect.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/detector/acfDetect.m | 3,479 | utf_8 | e9db3cf6ac6e3e4c29c92941512db444 | function bbs = acfDetect( I, detector, fileName )
% Run aggregate channel features object detector on given image(s).
%
% The input 'I' can either be a single image (or filename) or a cell array
% of images (or filenames). In the first case, the return is a set of bbs
% where each row has the format [x y w h score... |
github | jimeiyang/objectContourDetector-master | bbGt.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/detector/bbGt.m | 34,423 | utf_8 | 2efb0917311bcfcd0104393b2be462c1 | function varargout = bbGt( action, varargin )
% Bounding box (bb) annotations struct, evaluation and sampling routines.
%
% bbGt gives access to two types of routines:
% (1) Data structure for storing bb image annotations.
% (2) Routines for evaluating the Pascal criteria for object detection.
%
% The bb annotat... |
github | jimeiyang/objectContourDetector-master | bbApply.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/detector/bbApply.m | 21,861 | utf_8 | f306981e5a799751db67b55034b5f3cf | function varargout = bbApply( action, varargin )
% Functions for manipulating bounding boxes (bb).
%
% A bounding box (bb) is also known as a position vector or a rectangle
% object. It is a four element vector with the fields: [x y w h]. A set of
% n bbs can be stores as an [nx4] array, most funcitons below can h... |
github | jimeiyang/objectContourDetector-master | imwrite2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/images/imwrite2.m | 5,289 | utf_8 | fa93c13a7f1259ba3561a97c74902cd9 | function I = imwrite2( I, mulFlag, imagei, path, ...
name, ext, nDigits, nSplits, spliti, varargin )
% Similar to imwrite, except follows a strict naming convention.
%
% Wrapper for imwrite that writes file to the filename:
% fName = [path name int2str2(i,nDigits) '.' ext];
% Using imwrite:
% imwrite( I, fNa... |
github | jimeiyang/objectContourDetector-master | convnFast.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/images/convnFast.m | 9,435 | utf_8 | ae42efd752c1f27d6671f215e4ad9ce2 | function C = convnFast( A, B, shape )
% Fast convolution, replacement for both conv2 and convn.
%
% See conv2 or convn for more information on convolution in general.
%
% This works as a replacement for both conv2 and convn. Basically,
% performs convolution in either the frequency or spatial domain, depending
... |
github | jimeiyang/objectContourDetector-master | imMlGauss.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/images/imMlGauss.m | 5,902 | utf_8 | 0e7d1de8c0b463e6ca5e742f5764bb64 | function varargout = imMlGauss( G, symmFlag, show )
% Calculates max likelihood params of Gaussian that gave rise to image G.
%
% Suppose G contains an image of a gaussian distribution. One way to
% recover the parameters of the gaussian is to threshold the image, and
% then estimate the mean/covariance based on ... |
github | jimeiyang/objectContourDetector-master | montage2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/images/montage2.m | 7,778 | utf_8 | 1040b0c5365d56064de7c28bd46e1cbf | function varargout = montage2( IS, prm )
% Used to display collections of images and videos.
%
% Improved version of montage, with more control over display.
% NOTE: Can convert between MxNxT and MxNx3xT image stack via:
% I = repmat( I, [1,1,1,3] ); I = permute(I, [1,2,4,3] );
%
% USAGE
% varargout = montag... |
github | jimeiyang/objectContourDetector-master | jitterImage.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/images/jitterImage.m | 5,427 | utf_8 | 5eb14e974f08496e8c644c3ef94449f7 | function IJ = jitterImage( I, varargin )
% Creates multiple, slightly jittered versions of an image.
%
% Takes an image I, and generates a number of images that are copies of the
% original image with slight translation, rotation and scaling applied. If
% the input image is actually an MxNxK stack of images then a... |
github | jimeiyang/objectContourDetector-master | movieToImages.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/images/movieToImages.m | 990 | utf_8 | c6c5bfd212a560ee433db20fb9c74a4c | function I = movieToImages( M )
% Creates a stack of images from a matlab movie M.
%
% Repeatedly calls frame2im. Useful for playback with playMovie.
%
% USAGE
% I = movieToImages( M )
%
% INPUTS
% M - a matlab movie
%
% OUTPUTS
% I - MxNxT array (of images)
%
% EXAMPLE
% load( 'images.mat' ); [... |
github | jimeiyang/objectContourDetector-master | toolboxUpdateHeader.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/toolboxUpdateHeader.m | 2,433 | utf_8 | 6cd2226023653b907b767b6c4b8b7ff7 | function toolboxUpdateHeader
% Update the headers of all the files.
%
% USAGE
% toolboxUpdateHeader
%
% INPUTS
%
% OUTPUTS
%
% EXAMPLE
%
% See also
%
% Piotr's Image&Video Toolbox Version 3.25
% Copyright 2013 Piotr Dollar. [pdollar-at-caltech.edu]
% Please email me if you find bugs, or have sugg... |
github | jimeiyang/objectContourDetector-master | toolboxGenDoc.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/toolboxGenDoc.m | 3,770 | utf_8 | dfd95e962061a5afd392f4549d3ef75b | function toolboxGenDoc
% Generate documentation, must run from dir toolbox.
%
% 1) Make sure to update and run toolboxUpdateHeader.m
% 2) Update history.txt appropriately, including w current version
% 3) Update overview.html file with the version/date/link to zip:
% edit external/m2html/templates/frame-piotr... |
github | jimeiyang/objectContourDetector-master | toolboxHeader.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/toolboxHeader.m | 2,519 | utf_8 | 7530495be10750dc20e944da853d9793 | function [y1,y2] = toolboxHeader( x1, x2, x3, prm )
% One line description of function (will appear in file summary).
%
% General commments explaining purpose of function [width is 75
% characters]. There may be multiple paragraphs. In special cases some or
% all of these guidelines may need to be broken.
%
% Ne... |
github | jimeiyang/objectContourDetector-master | mdot.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/m2html/mdot.m | 2,516 | utf_8 | 34a14428c433e118d1810e23f5a6caf5 | function mdot(mmat, dotfile,f)
%MDOT - Export a dependency graph into DOT language
% MDOT(MMAT, DOTFILE) loads a .mat file generated by M2HTML using option
% ('save','on') and writes an ascii file using the DOT language that can
% be drawn using <dot> or <neato> .
% MDOT(MMAT, DOTFILE,F) builds the graph containing... |
github | jimeiyang/objectContourDetector-master | m2html.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/m2html/m2html.m | 49,063 | utf_8 | 472047b4c36a4f8b162012840e31b59b | function m2html(varargin)
%M2HTML - Documentation Generator for Matlab M-files and Toolboxes in HTML
% M2HTML by itself generates an HTML documentation of the Matlab M-files found
% in the direct subdirectories of the current directory. HTML files are
% written in a 'doc' directory (created if necessary). All the o... |
github | jimeiyang/objectContourDetector-master | doxysearch.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/m2html/private/doxysearch.m | 7,724 | utf_8 | 8331cde8495f34b86aef8c18656b37f2 | function result = doxysearch(query,filename)
%DOXYSEARCH Search a query in a 'search.idx' file
% RESULT = DOXYSEARCH(QUERY,FILENAME) looks for request QUERY
% in FILENAME (Doxygen search.idx format) and returns a list of
% files responding to the request in RESULT.
%
% See also DOXYREAD, DOXYWRITE
% Copyright (C)... |
github | jimeiyang/objectContourDetector-master | doxywrite.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/m2html/private/doxywrite.m | 3,584 | utf_8 | 3255d8f824957ebc173dde374d0f78af | function doxywrite(filename, kw, statinfo, docinfo)
%DOXYWRITE Write a 'search.idx' file compatible with DOXYGEN
% DOXYWRITE(FILENAME, KW, STATINFO, DOCINFO) writes file FILENAME
% (Doxygen search.idx. format) using the cell array KW containing the
% word list, the sparse matrix (nbword x nbfile) with non-null value... |
github | jimeiyang/objectContourDetector-master | doxyread.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/m2html/private/doxyread.m | 3,093 | utf_8 | 3152e7d26bf7ac64118be56f72832a20 | function [statlist, docinfo] = doxyread(filename)
%DOXYREAD Read a 'search.idx' file generated by DOXYGEN
% STATLIST = DOXYREAD(FILENAME) reads FILENAME (Doxygen search.idx
% format) and returns the list of keywords STATLIST as a cell array.
% [STATLIST, DOCINFO] = DOXYREAD(FILENAME) also returns a cell array
% con... |
github | jimeiyang/objectContourDetector-master | imwrite2split.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/imwrite2split.m | 1,664 | utf_8 | 8fa6eef9378b3b9aa633d6c096cd78f7 | % Writes/reads a large set of images into/from multiple directories.
%
% This is useful since certain OS handle very large directories (of say
% >20K images) rather poorly (I'm talking to you Bill). Thus, can take
% 100K images, and write into 5 separate directories, then read them back
% in.
%
% USAGE
% I = ... |
github | jimeiyang/objectContourDetector-master | playmovies.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/playmovies.m | 1,997 | utf_8 | 6d94553879ed29dca7238d26459ec685 | % [4D] shows R videos simultaneously as a movie.
%
% Plays a movie.
%
% USAGE
% playmovies( I, [fps], [loop] )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array (if MxNxT calls
% playmovie)
% fps - [100] maximum number of frames to display per second use
% fps==0 to ... |
github | jimeiyang/objectContourDetector-master | pca_apply_large.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/pca_apply_large.m | 2,132 | utf_8 | daf33ba3f73412c5d5b488d89b7cc495 | % Wrapper for pca_apply that allows for application to large X.
%
% Wrapper for pca_apply that splits and processes X in parts, this may be
% useful if processing cannot be done fully in parallel because of memory
% constraints. See pca_apply for usage.
%
% USAGE
% same as pca_apply
%
% INPUTS
% same as pca... |
github | jimeiyang/objectContourDetector-master | montages2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/montages2.m | 2,335 | utf_8 | 3ff14e5c538db6af4c9e1c99144d7c15 | % MONTAGES2 [4D] Used to display R sets of T images each.
%
% Displays one montage (see montage2) per row. Each of the R image sets is
% flattened to a single long image by concatenating the T images in the
% set. Alternative to montages.
%
% USAGE
% varargout = montages2( IS, [montage2prms], [padSiz] )
%
% ... |
github | jimeiyang/objectContourDetector-master | filter_gauss_1D.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/filter_gauss_1D.m | 1,178 | utf_8 | 42acb7f8ac4ce94b6dc1dabe1e51e313 | % 1D Gaussian filter.
%
% Equivalent to (but faster then):
% f = fspecial('Gaussian',[2*r+1,1],sigma);
% f = filter_gauss_nD( 2*r+1, r+1, sigma^2 );
%
% USAGE
% f = filter_gauss_1D( r, sigma, [show] )
%
% INPUTS
% r - filter size=2r+1, if r=[] -> r=ceil(2.25*sigma)
% sigma - standard deviation o... |
github | jimeiyang/objectContourDetector-master | clfEcoc.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/clfEcoc.m | 1,539 | utf_8 | 3cb7110d53d7eefcca505365b078fe8e | function clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
% Wrapper for ecoc that makes ecoc compatible with nfoldxval.
%
% Requires the SVM toolbox by Anton Schwaighofer.
%
% USAGE
% clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
%
% INPUTS
% p - data dimension
% clfInit ... |
github | jimeiyang/objectContourDetector-master | getargs.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/getargs.m | 3,550 | utf_8 | b8ee235c28195894f0743b6cd00fd609 | % Utility to process parameter name/value pairs.
%
% DEPRECATED -- ONLY USED BY KMEANS2? SHOULD BE REMOVED.
% USE GETPARAMDEFAULTS INSTEAD.
%
% Based on code fromt Matlab Statistics Toolobox's "private/statgetargs.m"
%
% [EMSG,A,B,...]=GETARGS(PNAMES,DFLTS,'NAME1',VAL1,'NAME2',VAL2,...)
% accepts a cell array ... |
github | jimeiyang/objectContourDetector-master | normxcorrn_fg.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/normxcorrn_fg.m | 2,771 | utf_8 | c0817b10bbc5d1793efad5fa7b4932ac | % Normalized n-dimensional cross-correlation with a mask.
%
% Similar to normxcorrn, except takes an additional argument that specifies
% a figure ground mask for the T. That is T_fg must be of the same
% dimensions as T, with each entry being 0 or 1, where zero specifies
% regions to ignore (the ground) and 1 sp... |
github | jimeiyang/objectContourDetector-master | makemovie.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/makemovie.m | 1,313 | utf_8 | 7cadf737855cee5cb9a336e1204773c4 | % [3D] Used to convert a stack of T images into a movie.
%
% To display same data statically use montage.
%
% USAGE
% M = makemovies( IS )
%
% INPUTS
% IS - MxNxT or MxNx1xT or MxNx3xT array of movies.
%
% OUTPUTS
% M - resulting movie
%
% EXAMPLE
% load( 'images.mat' );
% ... |
github | jimeiyang/objectContourDetector-master | localsum_block.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/localsum_block.m | 845 | utf_8 | d420d188aa320337183491498c7cc483 | % Calculates the sum in non-overlapping blocks of I of size dims.
%
% Similar to localsum except gets sum in non-overlapping windows.
% Equivalent to doing localsum, and then subsampling (except more
% efficient).
%
% USAGE
% I = localsum_block( I, dims )
%
% INPUTS
% I - matrix to compute sum over
%... |
github | jimeiyang/objectContourDetector-master | imrotate2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/imrotate2.m | 1,367 | utf_8 | 21148eb1e941255d74de56b5cb8994b1 | % Custom version of imrotate that demonstrates use of apply_homography.
%
% Works exactly the same as imrotate. For usage see imrotate.
%
% USAGE
% IR = imrotate2( I, angle, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% angle - angle to rotate in degrees
% method - ['linea... |
github | jimeiyang/objectContourDetector-master | imSubsResize.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/imSubsResize.m | 1,379 | utf_8 | 7bcc46113f2b8619d539a20ecb5a1835 | % Resizes subs by resizVals.
%
% Resizes subs in subs/vals image representation by resizVals.
%
% This essentially replaces each sub by sub.*resizVals. The only subtlety
% is that in images the leftmost sub value is .5, so for example when
% resizing by a factor of 2, the first pixel is replaced by 2 pixels and ... |
github | jimeiyang/objectContourDetector-master | imtranslate.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/imtranslate.m | 1,221 | utf_8 | 8a46326f7c0b520a89e2c4a153118ec9 | % Translate an image to subpixel accuracy.
%
% Note that for subplixel accuracy cannot use nearest neighbor interp.
%
% USAGE
% IR = imtranslate( I, dx, dy, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% dx - x translation (right)
% dy - y translation (up)
% method ... |
github | jimeiyang/objectContourDetector-master | randperm2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/randperm2.m | 1,444 | utf_8 | b8dc96688b2afddb3bd486803d3847b5 | % Returns a random permutation of integers.
%
% randperm2(n) is a random permutation of the integers from 1 to n. For
% example, randperm2(6) might be [2 4 5 6 1 3]. randperm2(n,k) is only
% returns the first k elements of the permuation, so for example
% randperm2(6) might be [2 4]. This is a faster version of ... |
github | jimeiyang/objectContourDetector-master | apply_homography.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/apply_homography.m | 3,676 | utf_8 | 18c79558e14e422d02c755d8363c7460 | % Applies the homography defined by H on the image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/ column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string that
% can be 'loose' (default) or 'crop'.... |
github | jimeiyang/objectContourDetector-master | pca_apply.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/pca_apply.m | 2,506 | utf_8 | 4f38cdb1a3375943269e24dc6be6af65 | % Companion function to pca.
%
% Use pca to retrieve the principal components U and the mean mu from a
% set fo vectors X1 via [U,mu,vars] = pca(X1). Then given a new
% vector x, use y = pca_apply( x, U, mu, vars, k ) to get the first k
% coefficients of x in the space spanned by the columns of U. See pca for
% ... |
github | jimeiyang/objectContourDetector-master | mode2.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/deprecated/mode2.m | 765 | utf_8 | f6b3681635cfe16059c5483214fb9814 | % Returns the mode of a vector.
%
% Was mode not part of Matlab before?
%
% USAGE
% y = mode2( x )
%
% INPUTS
% x - vector of integers
%
% OUTPUTS
% y - mode
%
% EXAMPLE
% x = randint2( 1, 10, [1 3] )
% mode(x), mode2( x )
%
% See also MODE
% Piotr's Image&Video Toolbox Version 1.5
% ... |
github | jimeiyang/objectContourDetector-master | savefig.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/external/other/savefig.m | 13,374 | utf_8 | b8aace9bef044800b8fc876fde5bf33f | function savefig(fname, varargin)
% Usage: savefig(filename, fighdl, options)
%
% Saves a pdf, eps, png, jpeg, and/or tiff of the contents of the fighandle's (or current) figure.
% It saves an eps of the figure and the uses Ghostscript to convert to the other formats.
% The result is a cropped, clean picture. There a... |
github | jimeiyang/objectContourDetector-master | dirSynch.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/matlab/dirSynch.m | 4,760 | utf_8 | 98722043acf461badcbf811797e8f35c | function dirSynch( root1, root2, showOnly, flag, ignDate )
% Synchronize two directory trees (or show differences between them).
%
% If a file or directory 'name' is found in both tree1 and tree2:
% 1) if 'name' is a file in both the pair is considered the same if they
% have identical size and identical date... |
github | jimeiyang/objectContourDetector-master | plotRoc.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/matlab/plotRoc.m | 5,407 | utf_8 | 6de0cb3305bb49d76673c90ad10d3f43 | function [h,miss,stds] = plotRoc( D, varargin )
% Function for display of rocs (receiver operator characteristic curves).
%
% Display roc curves. Consistent usage ensures uniform look for rocs. The
% input D should have n rows, each of which is of the form:
% D = [falsePosRate truePosRate]
% D is generated, for ... |
github | jimeiyang/objectContourDetector-master | simpleCache.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/matlab/simpleCache.m | 4,293 | utf_8 | 22f799042e5c852998fa3462c9363fc7 | function varargout = simpleCache( op, cache, varargin )
% A simple cache that can be used to store results of computations.
%
% Can save and retrieve arbitrary values using a vector (includnig char
% vectors) as a key. Especially useful if a function must perform heavy
% computation but is often called with the sa... |
github | jimeiyang/objectContourDetector-master | tpsInterpolate.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/matlab/tpsInterpolate.m | 1,760 | utf_8 | 718883df87f2cad99fe591d11b8693db | function [xsR,ysR] = tpsInterpolate( warp, xs, ys, show )
% Apply warp (obtained by tpsGetWarp) to a set of new points.
%
% USAGE
% [xsR,ysR] = tpsInterpolate( warp, xs, ys, [show] )
%
% INPUTS
% warp - [see tpsGetWarp] bookstein warping parameters
% xs, ys - points to apply warp to
% show - [1] ... |
github | jimeiyang/objectContourDetector-master | checkNumArgs.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/matlab/checkNumArgs.m | 3,968 | utf_8 | 262a28a0ba12c107b0244a10b38606ae | function [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag )
% Helper utility for checking numeric vector arguments.
%
% Runs a number of tests on the numeric array x. Tests to see if x has all
% integer values, all positive values, and so on, depending on the values
% for intFlag and signFlag. Also tests to se... |
github | jimeiyang/objectContourDetector-master | fevalDistr.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/matlab/fevalDistr.m | 12,765 | utf_8 | 3f490cb79ce1134078e2a18e6a47afba | function [out,res] = fevalDistr( funNm, jobs, varargin )
% Wrapper for embarrassingly parallel function evaluation.
%
% Runs "r=feval(funNm,jobs{i}{:})" for each job in a parallel manner. jobs
% should be a cell array of length nJob and each job should be a cell array
% of parameters to pass to funNm. funNm must b... |
github | jimeiyang/objectContourDetector-master | medfilt1m.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/filters/medfilt1m.m | 3,138 | utf_8 | 0ae9cc23ba8aec631160413b125a39a2 | function y = medfilt1m( x, r, z )
% One-dimensional adaptive median filtering with missing values.
%
% Applies a width s=2*r+1 one-dimensional median filter to vector x, which
% may contain missing values (elements equal to z). If x contains no
% missing values, y(j) is set to the median of x(j-r:j+r). If x contai... |
github | jimeiyang/objectContourDetector-master | FbMake.m | .m | objectContourDetector-master/caffe-cedn/matlab/toolbox/filters/FbMake.m | 6,962 | utf_8 | de8baf5b056d6d153f8ae0755ade2de5 | function FB = FbMake( dim, flag, show )
% Various 1D/2D/3D filterbanks (hardcoded).
%
% USAGE
% FB = FbMake( dim, flag, [show] )
%
% INPUTS
% dim - dimension
% flag - controls type of filterbank to create
% - if d==1
% 1: gabor filter bank for spatiotemporal stuff
% - i... |
github | shervinemami/openbr-master | loadOpenBR.m | .m | openbr-master/scripts/matlab/loadOpenBR.m | 872 | utf_8 | 4e065d7380792eccc6c84c661e76f723 | % This script will read a matrix container format where the first two entires are 32-bit ints
% specifying the number of rows and columns (respectively). The remaining buffer is 32-bit floats
% with all the matrix contents, in row-major order.
function [x] = loadOpenBR(filename,reverse)
if nargin < 2,
%... |
github | stuartfogel/detect_spindles-master | DS_characSpindles.m | .m | detect_spindles-master/src/DS_characSpindles.m | 4,807 | utf_8 | 991d8a49799e8e73070085435e97dbed | function EEG = DS_characSpindles(EEG, PARAM)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Characterize event amplitude and oscillatory frequency
%
% Part of detect_spindles toolbox:
%
% Authors: Stephane Sockeel, PhD, University of Montreal
% Stuart Fogel, PhD, University ... |
github | stuartfogel/detect_spindles-master | DS_complexDemodulation.m | .m | detect_spindles-master/src/DS_complexDemodulation.m | 3,525 | utf_8 | 4c7732a2a1469cc46016e94a3889482b | function [EEG,PARAM] = DS_complexDemodulation(EEG,PARAM)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ComplexDemodulation
%
% Part of detect_spindles toolbox:
%
% Authors: Stephane Sockeel, PhD, University of Montreal
% Stuart Fogel, PhD, University of Ottawa
% T... |
github | gbaier/despeckCL-master | insar_test.m | .m | despeckCL-master/examples/insar_test.m | 2,655 | utf_8 | 13c779c74e3df7e417bd79b924198fb6 | #!/usr/bin/octave
clear;
clc;
despeckcl;
load('insar_test_data.mat')
% boxcar
window_size = 5;
[ref_filt_boxcar, phi_filt_boxcar, coh_filt_boxcar] = despeckcl.boxcar(ampl_master,
ampl_slave,
... |
github | xieliaing/statsmodels-master | remNaNs_spline.m | .m | statsmodels-master/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/remNaNs_spline.m | 5,475 | utf_8 | 3064f0077bca84da0000c3fc42b7b25f | %%% Replication files for:
%%% ""Nowcasting", 2010, (by Marta Banbura, Domenico Giannone and Lucrezia Reichlin),
%%% in Michael P. Clements and David F. Hendry, editors, Oxford Handbook on Economic Forecasting.
%%%
%%% The software can be freely used in applications.
%%% Users are kindly requested to add acknowledg... |
github | xieliaing/statsmodels-master | dfm.m | .m | statsmodels-master/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m | 38,965 | utf_8 | 6190c225ffe8048cfad6bdd2b54223fe | function Res = dfm(X,Spec,threshold,max_iter)
%DFM() Runs the dynamic factor model
%
% Syntax:
% Res = DFM(X,Par)
%
% Description:
% DFM() inputs the organized and transformed data X and parameter structure Par.
% Then, the function outputs dynamic factor model structure Res and data
% summary statistics ... |
github | xieliaing/statsmodels-master | update_nowcast.m | .m | statsmodels-master/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/update_nowcast.m | 21,540 | utf_8 | a625f33072bab0a4a4c11e0dcc33ceee | function [Res] = update_nowcast(X_old,X_new,Time,Spec,Res,series,period,vintage_old,vintage_new)
if ~isnumeric(vintage_old)
vintage_old = datenum(vintage_old,'yyyy-mm-dd');
end
if ~isnumeric(vintage_new)
vintage_new = datenum(vintage_new,'yyyy-mm-dd');
end
% Make sure datasets are the same size
N = size(X_ne... |
github | xieliaing/statsmodels-master | load_data.m | .m | statsmodels-master/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/load_data.m | 4,617 | utf_8 | 25181b898f5bd6ab9c61da00f59e2872 | function [X,Time,Z] = load_data(datafile,Spec,sample,loadExcel)
%loadData Load vintage of data from file and format as structure
%
% Description:
%
% Load data from file
%
% Input Arguments:
%
% datafile - filename of Microsoft Excel workbook file
%
% Output Arguments:
%
% Data - structure with the following fields... |
github | raaperrotta/symlog-master | symlog.m | .m | symlog-master/symlog.m | 6,318 | utf_8 | 53e10b2d5aa1a4f57a408957b9263029 | function symlog(varargin)
% SYMLOG bi-symmetric logarithmic axes scaling
% SYMLOG applies a modified logarithm scale to the specified or current
% axes that handles negative values while maintaining continuity across
% zero. The transformation is defined in an article from the journal
% Measurement Science... |
github | davisvideochallenge/davis-matlab-master | db_root_dir.m | .m | davis-matlab-master/db_root_dir.m | 886 | utf_8 | 4e824f196c78134b9c105dff8e16af99 | % ------------------------------------------------------------------------
% Jordi Pont-Tuset - http://jponttuset.github.io/
% April 2016
% ------------------------------------------------------------------------
% This file is part of the DAVIS package presented in:
% Federico Perazzi, Jordi Pont-Tuset, Brian McWi... |
github | davisvideochallenge/davis-matlab-master | db_matlab_root_dir.m | .m | davis-matlab-master/db_matlab_root_dir.m | 827 | utf_8 | 95b90b8c11b7ed9760e9dfac9fd77ddb | % ------------------------------------------------------------------------
% Jordi Pont-Tuset - http://jponttuset.github.io/
% April 2016
% ------------------------------------------------------------------------
% This file is part of the DAVIS package presented in:
% Federico Perazzi, Jordi Pont-Tuset, Brian McWi... |
github | davisvideochallenge/davis-matlab-master | savejson.m | .m | davis-matlab-master/third-party/jsonlab/savejson.m | 19,032 | utf_8 | fcdcba8e45230c57a5d825c60a071e81 | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | davisvideochallenge/davis-matlab-master | loadjson.m | .m | davis-matlab-master/third-party/jsonlab/loadjson.m | 16,162 | ibm852 | 2bc1da81d0f677f843944b84f0181d58 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | davisvideochallenge/davis-matlab-master | loadubjson.m | .m | davis-matlab-master/third-party/jsonlab/loadubjson.m | 13,317 | utf_8 | e090cd22109f32b58c8d63b948cfbfcd | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id$
%
% input:
% fname: ... |
github | davisvideochallenge/davis-matlab-master | saveubjson.m | .m | davis-matlab-master/third-party/jsonlab/saveubjson.m | 17,740 | utf_8 | e8182109b9c4bc0cca50de08f1254247 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | davisvideochallenge/davis-matlab-master | pce2mask.m | .m | davis-matlab-master/third-party/polycont/matlab/pce2mask.m | 729 | utf_8 | c9a874ef3fa553584563b64b7c17bbbe | % mask = pce2mask( pce )
%------------------------------------------------------------------------
% Get the representation in terms of polygons of the contour of a mask.
% PARAMS IN:
% pce : Polygonal representation of the contour.
% PARAMS OUT:
% mask : Boolean matrix - foreground (true), backg... |
github | davisvideochallenge/davis-matlab-master | plot_pce.m | .m | davis-matlab-master/third-party/polycont/matlab/plot_pce.m | 793 | utf_8 | 7f1048b8844ff5446c2a109dad511ab1 | % plot_pce( pce )
%------------------------------------------------------------------------
% Plot the polygon represented by poly
% PARAMS IN:
% pce : Polygonal representation of the contour.
%------------------------------------------------------------------------
% Copyright (C)
% Jordi Pont-Tuset <jpontt... |
github | davisvideochallenge/davis-matlab-master | pce_area.m | .m | davis-matlab-master/third-party/polycont/matlab/pce_area.m | 584 | utf_8 | 0677243d9e23b3df08eddf45f605cba7 | % area = pce_area( pce )
%------------------------------------------------------------------------
% Get the area of a polygon contour.
% PARAMS IN:
% pce : Polygonal representation of the contour.
% PARAMS OUT:
% area : Area of the polygon.
%---------------------------------------------------------------... |
github | davisvideochallenge/davis-matlab-master | pce_write.m | .m | davis-matlab-master/third-party/polycont/matlab/pce_write.m | 593 | utf_8 | 948442fa21e017b75de421042abd8070 | % pce_write( pce, filename )
%------------------------------------------------------------------------
% Get the area of a polygon contour.
% PARAMS IN:
% pce : Polygonal representation of the contour.
% filename : File name to write the polygon
%--------------------------------------------------------------... |
github | davisvideochallenge/davis-matlab-master | pce_intersection.m | .m | davis-matlab-master/third-party/polycont/matlab/pce_intersection.m | 705 | utf_8 | 42f5bb20ab4743e6356eb20ff1bc7c3b | % intersection = pce_intersection( pce1, pce2 )
%------------------------------------------------------------------------
% Get the intersection between two polygon contours.
% PARAMS IN:
% pce1, pce2 : Polygonal representations of the contours.
% PARAMS OUT:
% intersection : Intersection between the two polygo... |
github | davisvideochallenge/davis-matlab-master | pce_read.m | .m | davis-matlab-master/third-party/polycont/matlab/pce_read.m | 609 | utf_8 | efb8245c359757c6aefb2dc23b1190e0 | % pce = pce_read( filename )
%------------------------------------------------------------------------
% Get the area of a polygon contour.
% PARAMS IN:
% filename : File name to write the polygon
% PARAMS OUT:
% pce : Polygonal representation of the contour.
%-----------------------------------------------... |
github | davisvideochallenge/davis-matlab-master | mask2pce.m | .m | davis-matlab-master/third-party/polycont/matlab/mask2pce.m | 935 | utf_8 | 63fdbe22cd478f2dc7d3315f7cadf676 | % pce = mask2pce( mask, tolerance)
%------------------------------------------------------------------------
% Get the representation in terms of polygons of the contour of a mask.
% PARAMS IN:
% mask : Boolean matrix - foreground (true), background (false),
% representing the mask of the s... |
github | davisvideochallenge/davis-matlab-master | pce_jaccard.m | .m | davis-matlab-master/third-party/polycont/matlab/pce_jaccard.m | 1,081 | utf_8 | b72559d3ba16a567cb31bcb563acf258 | % [jaccard, precision, recall] = pce_jaccard( pce1, pce2 )
%------------------------------------------------------------------------
% Get the jaccard index between two polygon contours.
% PARAMS IN:
% pce1, pce2 : Polygonal representations of the contours.
% PARAMS OUT:
% jaccard : Jaccard index between two p... |
github | davisvideochallenge/davis-matlab-master | db_frame_ids.m | .m | davis-matlab-master/db_util/db_frame_ids.m | 1,038 | utf_8 | 3cc8fd6de110223041e6c0ea9950d1a9 | % ------------------------------------------------------------------------
% Jordi Pont-Tuset - http://jponttuset.github.io/
% April 2016
% ------------------------------------------------------------------------
% This file is part of the DAVIS package presented in:
% Federico Perazzi, Jordi Pont-Tuset, Brian McWi... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.