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 | CohenBerkeleyLab/BEHR-core-utils-master | gridIndx2.m | .m | BEHR-core-utils-master/AMF_tools/gridIndx2.m | 949 | utf_8 | 5829fca79601db18102ad655de285131 | %%gridIndx2
%%arr 10/22/2008
%..........................................................................
%
% Description:
% Given a defined grid, the procedure finds the grid indices
% corresponding to input values of latitude, and/or longitude, and/or
% date.
%
% Arguments:
%
% x s... |
github | CohenBerkeleyLab/BEHR-core-utils-master | omiAmfAK2.m | .m | BEHR-core-utils-master/AMF_tools/omiAmfAK2.m | 15,201 | utf_8 | 0b4ea30e665b2277679e15eed0c303a6 | %OMIAMFAK2 - Compute OMI AMFs and AKs given scattering weights and NO2 profiles
%
% [ amf, amfVis, amfCld, amfClr, sc_weights, avgKernel, no2ProfileInterp,
% swPlev ] = omiAmfAK2( pTerr, pCld, cldFrac, cldRadFrac, pressure,
% dAmfClr, dAmfCld, temperature, no2Profile )
%
% INPUTS:
% pTerr - the 2D a... |
github | CohenBerkeleyLab/BEHR-core-utils-master | integPr2.m | .m | BEHR-core-utils-master/AMF_tools/integPr2.m | 7,989 | utf_8 | da0cf11ddd46f634b372d935cfac8ea0 | % INTEGPR2 Integrate mixing ratios over pressure
%
% VCD = INTEGPR2(MIXINGRATIO, PRESSURE, PRESSURESURFACE) Integrates the
% profile given by MIXINGRATIO (which must be unscaled, i.e. mol/mol or
% volume/volume) defined at the vertical levels given by PRESSURE (which
% must be monotonically decreasing and ... |
github | CohenBerkeleyLab/BEHR-core-utils-master | rProfile_US.m | .m | BEHR-core-utils-master/AMF_tools/rProfile_US.m | 2,349 | utf_8 | fdbb2f144688bf6869789f9a2ff51a10 | %%rProfile_US
%%arr 04/22/2011
%Reads monthly WRF profiles from Lukas (for new retrieval, trends)
%NO2 is in ppm
function [no2_bins] = rProfile_US(PROFILE, loncorns, latcorns, c)
pressure = PROFILE.Pressure;
lat_prs = PROFILE.Latitude;
lon_prs = PROFILE.Longitude;
sz = size(PROFILE.NO2_profile);
%no2=r... |
github | CohenBerkeleyLab/BEHR-core-utils-master | rDamf2.m | .m | BEHR-core-utils-master/AMF_tools/rDamf2.m | 3,684 | utf_8 | 692dc78d4bd9352518525b3eecf3f1b5 | %%rDamf
%%arr 07/23/2008
% Reads the dAMF file used in the FORTRAN OMI NO2 algorithm
%..........................................................................
% Returns vector of dAMFs on input pressure grid, interpolated
% at input solar zenith angle, viewing zenith angle, relative azimuth angle
% surfac... |
github | CohenBerkeleyLab/BEHR-core-utils-master | behr_montecarlo_uncertainty.m | .m | BEHR-core-utils-master/AMF_tools/behr_montecarlo_uncertainty.m | 2,630 | utf_8 | 55e4df50366d705d87c0ef52ed7926e8 | function [ amf_var, amf_relvar, param_vals ] = behr_montecarlo_uncertainty( AMFS, uncert_param, uncert_range )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
E = JLLErrors;
params = {'SZAs', 'VZAs', 'RAAs', 'ALBs', 'SurfPs'};
n_params = numel(params);
if ~ismember(uncert_param, params... |
github | CohenBerkeleyLab/BEHR-core-utils-master | merge_hong_kong_output.m | .m | BEHR-core-utils-master/AMF_tools/Hong Kong Profile Tools/merge_hong_kong_output.m | 15,885 | utf_8 | 899d599cd0838abdebe2f6b460b70d23 | function [ ] = merge_hong_kong_output( root_dir, start_date, end_date, varargin )
%MERGE_HONG_KONG_OUTPUT Merges CMAQ and WRF data into standard wrfout files
% MERGE_HONG_KONG_OUTPUT( ROOT_DIR, START_DATE, END_DATE ) Looks for
% folders dated 'dd mmm yyyy' in ROOT_DIR and merges the hourly pressure,
% temperatur... |
github | chamara84/proactiveChannelSelectionCR-master | rewardCalcForChannel.m | .m | proactiveChannelSelectionCR-master/rewardCalcForChannel.m | 5,042 | utf_8 | d8c8c83c480054af02c9a678f036f063 |
function [channelIndex,reward] = rewardCalcForChannel(channelIndex,current_slot,senseResult,senseTime,channelTransitionMat,stationProb,falseAlarm,missedDet, bufferSize, channelAcqProb, pktTrProb)
%vector order [busy;idle]
%transitionMatrix order = [11,10;
% 01,00]
Q = 1000;
%% initial ... |
github | EnyaHermite/fastDesp-corrProp-master | flann_search.m | .m | fastDesp-corrProp-master/flann/flann_search.m | 3,564 | utf_8 | 7dfb2eee171a6fef9aa4adec527e3145 | %Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
%Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
%
%THE BSD LICENSE
%
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions
%are met:
%
... |
github | EnyaHermite/fastDesp-corrProp-master | flann_load_index.m | .m | fastDesp-corrProp-master/flann/flann_load_index.m | 1,578 | utf_8 | f9bcc41fd5972c5c987d6a4d41bdc796 | %Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
%Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
%
%THE BSD LICENSE
%
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions
%are met:
%
... |
github | EnyaHermite/fastDesp-corrProp-master | test_flann.m | .m | fastDesp-corrProp-master/flann/test_flann.m | 10,328 | utf_8 | 151c22994b0192f8a071649ad26fbc6b | %Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
%Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
%
%THE BSD LICENSE
%
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions
%are met:
%
... |
github | EnyaHermite/fastDesp-corrProp-master | flann_free_index.m | .m | fastDesp-corrProp-master/flann/flann_free_index.m | 1,614 | utf_8 | 5d719d8d60539b6c90bee08d01e458b5 | %Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
%Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
%
%THE BSD LICENSE
%
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions
%are met:
%
... |
github | EnyaHermite/fastDesp-corrProp-master | flann_save_index.m | .m | fastDesp-corrProp-master/flann/flann_save_index.m | 1,563 | utf_8 | 5a44d911827fba5422041529b3c01cf6 | %Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
%Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
%
%THE BSD LICENSE
%
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions
%are met:
%
... |
github | EnyaHermite/fastDesp-corrProp-master | flann_set_distance_type.m | .m | fastDesp-corrProp-master/flann/flann_set_distance_type.m | 1,914 | utf_8 | a62dd85add564e04c01aefeb65083f5d | %Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
%Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
%
%THE BSD LICENSE
%
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions
%are met:
%
... |
github | EnyaHermite/fastDesp-corrProp-master | flann_build_index.m | .m | fastDesp-corrProp-master/flann/flann_build_index.m | 2,299 | utf_8 | f4cdee51a1c9616f205dcc814c943903 | function [index, params, speedup] = flann_build_index(dataset, build_params)
%FLANN_BUILD_INDEX Builds an index for fast approximate nearest neighbors search
%
% [index, params, speedup] = flann_build_index(dataset, build_params) - Constructs the
% index from the provided 'dataset' and (optionally) computes the optima... |
github | nthallen/keutsch-hcho-master | scancorrect.m | .m | keutsch-hcho-master/eng/workup/scancorrect.m | 295 | utf_8 | 67a0828b2a94fb56b7877df5e6b990c4 | % Fix scan index issue (FPGA switches to online label before the scan is
% actually complete)
function NewIndices = scancorrect(i)
chunks = chunker(i);
NewChunks = [chunks(:,1) chunks(:,2)+25];
%There are 15 points at the end not labeled as scan points
NewIndices = ChunkIndices(NewChunks);
|
github | nthallen/keutsch-hcho-master | RemoveFirstPoints.m | .m | keutsch-hcho-master/eng/workup/RemoveFirstPoints.m | 595 | utf_8 | d041c4bc460d842a5ce6281b3474747e | %function FirstPointsRemoved = RemoveFirstPoints(i,n)
%input is the online indices and the number of points at the start of each
%cycles you wish to remove, assessed after viewing the raw data for errors
%output is the online indices without erroneous points
%111811 JBK
%05APR2018 JDS
function [NewIndices,RemovedIndi... |
github | nthallen/keutsch-hcho-master | refcellcorrect.m | .m | keutsch-hcho-master/eng/workup/refcellcorrect.m | 4,249 | utf_8 | 3d23c2f77e8a0db570d5c2bc8315df04 | %refcellcorrect_return = refcellcorrect(Data10Hz,Data1Hz,maxLaserV,method,plotme)
% PURPOSE: Correct for any drift in difference count signal that resulted
% in shifting of the laser voltage or peak position (that wasn't recorded
% by the instrument)
function refcellcorrect_return = refcellcorrect(Data10Hz,Data1Hz,ma... |
github | nthallen/keutsch-hcho-master | ChunkIndices.m | .m | keutsch-hcho-master/eng/workup/ChunkIndices.m | 411 | utf_8 | 1f6bb48cbfa520023cbe4302f4066384 | % function ChunkIndices = ChunkIndices(chunks)
%input is a vector containing output from chunker, which is [start indices,
%stop indices]
%output is single vector that contains all the indices within each chunk
%111811 JBK
function ChunkIndices = ChunkIndices(chunks)
ChunkIndices=[];
l=length(chunks);
for i=1:length(... |
github | nthallen/keutsch-hcho-master | powercal.m | .m | keutsch-hcho-master/eng/workup/powercal.m | 3,594 | utf_8 | 207f516749a481337a289b0e140ce1f8 | % function power = UDTcal(udt,caldate,plotme)
% feed this function a udt signal (in V) to get back power (in mW). Note
% that using this function requires that you have done a power calibration
% on the UDT, which can change with orientation and time.
% INPUTS:
% udt: raw udt voltage
% caldate: date of calibrat... |
github | nthallen/keutsch-hcho-master | chunker.m | .m | keutsch-hcho-master/eng/workup/chunker.m | 548 | utf_8 | 214091d3c261ea5f11605f0a116267bf | % function chunks = chunker(index)
%input is a vector containing indices for all data chunks of a certain type (e.g. cals or zeroes)
%output is a 2-column matrix containing start and stop indices for each chunk
%Edited from the MBO2006 function autoindexer.m.
%070707 GMW
function chunks = chunker(index)
if isempty(in... |
github | altMITgcm/MITgcm-master | VERT_FSFB2.m | .m | MITgcm-master/verification/obcs_ctrl/input_ad/VERT_FSFB2.m | 2,369 | utf_8 | 19506cceb9851b2b63996c09e7d4c207 | function [c2, Psi, G, N2, Pmid] = VERT_FSFB2(N2,Pmid)
%function [c2, Psi, G, N2, Pmid] = VERT_FSFB2(N2,Pmid)
%
% VERT_FSFB.m
%
% Gabriel A. Vecchi - May 12, 1998
%%%%%%%%%%%%%%%%
%
% Solves the discretized wave projection problem
% given the vertical profiles of Temperature, Salinity, Pressure
% and t... |
github | altMITgcm/MITgcm-master | sq.m | .m | MITgcm-master/verification/tutorial_global_oce_latlon/diags_matlab/sq.m | 396 | utf_8 | 59792ebeb18f9e9415e48efbc7ad5ce8 | % sq(A) is similar to squeeze(A) except that elements =0 are set to NaN
%
% sq(A) 0 -> NaN
% sq(A,val1) val1 -> NaN
% sq(A,val1,val2) val1 -> val2
function [A] = sq(B,varargin);
A=squeeze(B);
if nargin>=2
nodata=varargin{1};
else
nodata=0;
end
if nargin==3
newval=varargin{2};
else
newval=NaN;... |
github | altMITgcm/MITgcm-master | rdmds.m | .m | MITgcm-master/verification/tutorial_global_oce_latlon/diags_matlab/rdmds.m | 15,573 | utf_8 | ac107b0882b69bd8a4721de82e1f1d24 | function [AA,itrs,MM] = rdmds(fnamearg,varargin)
% RDMDS Read MITgcmUV meta/data files
%
% A = RDMDS(FNAME)
% A = RDMDS(FNAME,ITER)
% A = RDMDS(FNAME,[ITER1 ITER2 ...])
% A = RDMDS(FNAME,NaN)
% A = RDMDS(FNAME,Inf)
% [A,ITS,M] = RDMDS(FNAME,[...])
% A = RDMDS(FNAME,[...],'rec',RECNUM)
%
% A = RDMDS(FNAME) reads data... |
github | altMITgcm/MITgcm-master | mit_getparm.m | .m | MITgcm-master/verification/tutorial_global_oce_latlon/diags_matlab/mit_getparm.m | 2,288 | utf_8 | fc7cff3c2b1d1b5330d556f335f072ef | function y = mit_getparm(fname,pname);
%function y = mit_getparm(fname,pname);
y = [];
[fp, msg] = fopen(fname,'r');
if fp > 0
str{1} = [];
notfound = 0;
while isempty(mystrfind(str{1},pname))
str{1} = fgetl(fp);
if ~ischar(str{1}); % this catches the end of file (not very clean)
notf... |
github | altMITgcm/MITgcm-master | rdmeta.m | .m | MITgcm-master/verification/tutorial_global_oce_latlon/diags_matlab/rdmeta.m | 8,213 | utf_8 | 1474707bccd022cacade050a0d58558b | function [AA] = rdmds(fname,varargin)
%
% Read MITgcmUV Meta/Data files
%
% A = RDMDS(FNAME) reads data described by meta/data file format.
% FNAME is a string containing the "head" of the file names.
%
% eg. To load the meta-data files
% T.0000002880.000.000.meta, T.0000002880.000.000.data
% T.0000002880.001.0... |
github | altMITgcm/MITgcm-master | pcol.m | .m | MITgcm-master/verification/tutorial_global_oce_latlon/diags_matlab/pcol.m | 1,497 | utf_8 | a292554987c9d7d3edd0a8a6622c1754 | % Similar to pcolor except that pcol() doesn't drop the last column
% or row of data (ie. doesn't interpolated). It uses the shading flat
% method by default.
%
% See also PCOLOR, IMAGESC
function [hh] = pcol(varargin);
%cmap=colormap;
%if cmap(size(cmap,1),:)==[0 0 0]
%else
% if sum(sum(isnan(data)))~=0
% colormap(... |
github | altMITgcm/MITgcm-master | ncep2global_ocean.m | .m | MITgcm-master/verification/tutorial_global_oce_latlon/diags_matlab/ncep2global_ocean.m | 6,746 | utf_8 | 821818da9e42e4b9a02bbb53c9b88afb | function ncep2global_ocean
% function ncep2global_ocean
% read various fluxes, adds them up to have net heat flux and net
% freshwater flux (E-P only)
% interpolates the fluxes onto 90x40 grid of global_ocean.90x40x15
%
% constants
ql_evap = 2.5e6; % latent heat due to evaporation
rho_fresh = 1000; % density of fr... |
github | altMITgcm/MITgcm-master | rdda.m | .m | MITgcm-master/verification/advect_cs/input/rdda.m | 2,915 | utf_8 | b7991cf916c2f5ec04c925ee65ba6ebd | % result = RDDA( file, dim, irec [options] )
%
% This routine reads the irec'th record of shape 'dim' from the
% direct-access binary file (float or double precision) 'file'.
%
% Required arguments:
%
% file - string - name of file to read from
% dim - vector - dimensions of the file records and the resulting ... |
github | altMITgcm/MITgcm-master | inpaint_nans.m | .m | MITgcm-master/utils/matlab/inpaint_nans.m | 12,366 | utf_8 | b1af604b26fc4537e04313983bb36eca | function B=inpaint_nans(A,method)
% inpaint_nans: in-paints over nans in an array
% usage: B=inpaint_nans(A)
%
% solves approximation to one of several pdes to
% interpolate and extrapolate holes
%
% Written by John D'Errico (woodchips@rochester.rr.com)
%
% arguments (input):
% A - nxm array with some NaNs to be fil... |
github | altMITgcm/MITgcm-master | griddata_fast.m | .m | MITgcm-master/utils/matlab/griddata_fast.m | 1,322 | utf_8 | 5714c2fff7314b59ee02a68191fa02c3 | function zi = griddata_fast(delau,z,method)
%GRIDDATA_FAST Data gridding and surface fitting.
% ZI = GRIDDATA_FAST(DEL,Z)
%
% See also GRIDDATA_PREPROCESS
% Based on
% Clay M. Thompson 8-21-95
% Copyright 1984-2001 The MathWorks, Inc.
error(nargchk(2,3,nargin))
if nargin<3, method = 'linear'; end
if ~isst... |
github | altMITgcm/MITgcm-master | rdmds.m | .m | MITgcm-master/utils/matlab/rdmds.m | 15,720 | utf_8 | 8e75fe4ad76e960b801f21359b052089 | function [AA,itrs,MM] = rdmds(fnamearg,varargin)
% RDMDS Read MITgcmUV meta/data files
%
% A = RDMDS(FNAME)
% A = RDMDS(FNAME,ITER)
% A = RDMDS(FNAME,[ITER1 ITER2 ...])
% A = RDMDS(FNAME,NaN)
% A = RDMDS(FNAME,Inf)
% [A,ITS,M] = RDMDS(FNAME,[...])
% A = RDMDS(FNAME,[...],'rec',RECNUM)
%
% A = RDMDS(FNAME) reads data... |
github | altMITgcm/MITgcm-master | griddata_preprocess.m | .m | MITgcm-master/utils/matlab/griddata_preprocess.m | 2,885 | utf_8 | 2aa1c7df8924cad853c90486c8438f04 | function [del] = griddata_preprocess(x,y,xi,yi,method)
%GRIDDATA_PREPROCESS Pre-calculate Delaunay triangulation for use
% with GRIDDATA_FAST.
%
% DEL = GRIDDATA_PREPROCESS(X,Y,XI,YI)
% Based on
% Clay M. Thompson 8-21-95
% Copyright 1984-2001 The MathWorks, Inc.
error(nargchk(4,5,nargin))
%- To interpola... |
github | altMITgcm/MITgcm-master | rdmnc.m | .m | MITgcm-master/utils/matlab/rdmnc.m | 18,248 | utf_8 | b3cbc9f16462fc93fe28ebc1bc8e6eee | function [S] = rdmnc(varargin)
% Usage:
% S=RDMNC(FILE1,FILE2,...)
% S=RDMNC(FILE1,...,ITER)
% S=RDMNC(FILE1,...,'VAR1','VAR2',...)
% S=RDMNC(FILE1,...,'VAR1','VAR2',...,ITER)
%
% Input:
% FILE1 Either a single file name (e.g. 'state.nc') or a wild-card
% strings expanding to a group of file name... |
github | altMITgcm/MITgcm-master | rdmeta.m | .m | MITgcm-master/utils/matlab/rdmeta.m | 8,213 | utf_8 | 1474707bccd022cacade050a0d58558b | function [AA] = rdmds(fname,varargin)
%
% Read MITgcmUV Meta/Data files
%
% A = RDMDS(FNAME) reads data described by meta/data file format.
% FNAME is a string containing the "head" of the file names.
%
% eg. To load the meta-data files
% T.0000002880.000.000.meta, T.0000002880.000.000.data
% T.0000002880.001.0... |
github | altMITgcm/MITgcm-master | densjmd95.m | .m | MITgcm-master/utils/matlab/densjmd95.m | 6,582 | utf_8 | 4771d90926365a39ace86ac088351fb4 | function rho = densjmd95(s,t,p);
%
% DENSJMD95 Density of sea water
%=========================================================================
%
% USAGE: dens = densjmd95(S,Theta,P)
%
% DESCRIPTION:
% Density of Sea Water using Jackett and McDougall 1995 (JAOT 12)
% polynomial (modified UNESCO polynomial).
... |
github | altMITgcm/MITgcm-master | cm_landwater.m | .m | MITgcm-master/utils/matlab/cm_landwater.m | 1,351 | utf_8 | 6c91417081d672740729bfc946eee0e1 | function [c] = cm_landwater(n,varargin)
% [c] = cm_landwater(n)
% [c] = cm_landwater(n,f)
%
% n - is size of color map
% f is scalar fraction that should be water (default=0.5)
% or vector [hmin hmax] from which f will be calculated
%
% e.g.
% >> cm_landwater(64,caxis);
%
% Green-yellor land/blue water colormap
i... |
github | altMITgcm/MITgcm-master | set_mask.m | .m | MITgcm-master/utils/matlab/ocean_basin/set_mask.m | 5,044 | utf_8 | 4eb4ec826e20fede5dbee22bd57dd25a | function [newmask,iMask,XV,YV]=set_mask(x,y,mask,val)
% [newmask,iMask,XV,YV]=set_mask(x,y,mask,val)
% GUI to create mask by hand. Idea is to set masking area
% by selecting polygon(s) or selecting single points.
% Area enclosed by the polygon or the selected point is
% set to value 'val'.
% Press 'v' or 'o... |
github | altMITgcm/MITgcm-master | GraphixLoad.m | .m | MITgcm-master/utils/matlab/Graphix/GraphixLoad.m | 11,982 | utf_8 | 0895483a27fd13e552cc564235db7460 | function [data,xax,yax,time,pltslc,XG,YG] = ...
GraphixLoad(fil,fln,trl,dat,dad,grd,itr,tst,flu,ddf,gdf,avg,slc,pst,...
LoadGridData,GraphixDebug,GridSuffix,ZcordFile,Index,...
Dim,Vector,Mate,uFld,vFld,gmfile,KwxFld,KwyFld,Grads,...
Year0Iter,SecPerYear,Months,PlotFl... |
github | altMITgcm/MITgcm-master | displaytiles.m | .m | MITgcm-master/utils/matlab/cs_grid/displaytiles.m | 714 | utf_8 | 325f08e4dd87446d887ea548a0751f3f | function [] = displaytiles(A)
% Display tiled field.
%
% Dimensions of A must be (n,n,6)
%
% Written by adcroft@.mit.edu, 2001.
global cmin cmax
clf
if size(A,3)==1
A=tiles(A,1:6);
end
cmin=min(min(min(A)));
cmax=max(max(max(A)));
if isnan(cmin)
cmin = 0;
end
if isnan(cmax)
cmax = 1;
end
if cmin==cmax
cmax = cmin... |
github | altMITgcm/MITgcm-master | uvLatLon2cube.m | .m | MITgcm-master/utils/matlab/cs_grid/uvLatLon2cube.m | 4,280 | utf_8 | 94ef18e807e841554f45873f687e5912 | function [uCs,vCs,errFlag]=uvLatLon2cube(xc,yc,uFld,vFld,xcs,ycs,spv,cosalpha,sinalpha);
% [uCs,vCs]=uvLatLon2cube(xc,yc,uFld,vFld,xcs,ycs,spv);
% put a vector field (uFld,vFld) on to the C-grid, Cubed-sphere grid: uCs,vCs
% xc,yc = long,lat position of vector field (uFld,vFld)
% assume: size(xc) == size(uF... |
github | altMITgcm/MITgcm-master | grph_CS.m | .m | MITgcm-master/utils/matlab/cs_grid/bk_line/grph_CS.m | 6,836 | utf_8 | 5194ef2b0c209422ae42f586731cf648 | function [fac]=grph_CS(var,xcs,ycs,xcg,ycg,c1,c2,shift,cbV,AxBx,kEnv)
% [fac]=grph_CS(var,xcs,ycs,xcg,ycg,c1,c2,shift[,cbV,AxBx,kEnv]) :
% produce a flat plot of the cube_sphere field "var",
% keeping the initial grid (no interpolation, use "surf")
% xcs,ycs,xcg,ycg = center + corner grid point coordinates
% c1 < c2 =... |
github | altMITgcm/MITgcm-master | grph_CSz.m | .m | MITgcm-master/utils/matlab/cs_grid/bk_line/grph_CSz.m | 7,506 | utf_8 | e06faa836aaf90bfa4b2e880979b55a0 | function grph_CSz(var,xcs,ycs,xcg,ycg,c1,c2,shift,cbV,AxBx,kEnv)
% grph_CSz(var,xcs,ycs,xcg,ycg,c1,c2,shift[,cbV,AxBx,kEnv]) :
% produce a flat plot of the cube_sphere "var" (@ C-grid corner position)
% keeping the initial grid (no interpolation, use "surf").
% xcs,ycs,xcg,ycg = center + corner grid point coordinates
... |
github | altMITgcm/MITgcm-master | llc_pcol.m | .m | MITgcm-master/utils/matlab/cs_grid/latloncap/llc_pcol.m | 4,388 | utf_8 | 2365f63799298f0149ad467287f3baf1 | %function h=llc_pcol(t,fldname,iter)
%function h=llc_pcol(t,fldname,iter,'sphere')
%function h=llc_pcol(t,fldname,iter,'m_map arguments')
% with default iter = 1
%function h=llc_pcol(t,fldname)
%function h=llc_pcol(t,fldname,[],'m_map arguments')
%
% plots 2D scalar fields v on the MITgcm llc (lat-lon-cap) grid with p... |
github | P-Chao/acfdetect-master | CropPosSample.m | .m | acfdetect-master/CropPosSample.m | 25,366 | utf_8 | 82fa96eca30453d1405adc4ebd3ea773 | function varargout = CropPosSample(varargin)
% CROPPOSSAMPLE MATLAB code for CropPosSample.fig
% CROPPOSSAMPLE, by itself, creates a new CROPPOSSAMPLE or raises the existing
% singleton*.
%
% H = CROPPOSSAMPLE returns the handle to a new CROPPOSSAMPLE or the handle to
% the existing singleton*.
%
% ... |
github | P-Chao/acfdetect-master | chnsCompute.m | .m | acfdetect-master/toolbox/channels/chnsCompute.m | 9,241 | UNKNOWN | 10cd4fb60e464bb5aeceab01ff4b499e | function chns = chnsCompute( I, varargin )
% Compute channel features at a single scale given an input image.
%
% Compute the channel features as described in:
% P. Doll�r, Z. Tu, P. Perona and S. Belongie
% "Integral Channel Features", BMVC 2009.
% Channel features have proven very effective in sliding window object... |
github | P-Chao/acfdetect-master | imagesAlign.m | .m | acfdetect-master/toolbox/videos/imagesAlign.m | 8,167 | utf_8 | d125eb5beb502d940be5bd145521f34b | 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,"
% S. B... |
github | P-Chao/acfdetect-master | opticalFlow.m | .m | acfdetect-master/toolbox/videos/opticalFlow.m | 7,361 | utf_8 | b97e8c1f623eca07c6f1a0fff26d171e | 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 sum of ... |
github | P-Chao/acfdetect-master | seqWriterPlugin.m | .m | acfdetect-master/toolbox/videos/seqWriterPlugin.m | 8,280 | utf_8 | 597792f79fff08b8bb709313267c3860 | 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 writing ... |
github | P-Chao/acfdetect-master | kernelTracker.m | .m | acfdetect-master/toolbox/videos/kernelTracker.m | 9,315 | utf_8 | 4a7d0235f1e518ab5f1c9f1b5450b3f0 | 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 utili... |
github | P-Chao/acfdetect-master | seqIo.m | .m | acfdetect-master/toolbox/videos/seqIo.m | 17,019 | utf_8 | 9c631b324bb527372ec3eed3416c5dcc | 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: (1)
%... |
github | P-Chao/acfdetect-master | seqReaderPlugin.m | .m | acfdetect-master/toolbox/videos/seqReaderPlugin.m | 9,617 | utf_8 | ad8f912634cafe13df6fc7d67aeff05a | 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 reading ... |
github | P-Chao/acfdetect-master | pcaApply.m | .m | acfdetect-master/toolbox/classify/pcaApply.m | 3,320 | utf_8 | a06fc0e54d85930cbc0536c874ac63b7 | 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, pcaAp... |
github | P-Chao/acfdetect-master | forestTrain.m | .m | acfdetect-master/toolbox/classify/forestTrain.m | 6,138 | utf_8 | de534e2a010f452a7b13167dbf9df239 | 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 vectors
% hs ... |
github | P-Chao/acfdetect-master | fernsRegTrain.m | .m | acfdetect-master/toolbox/classify/fernsRegTrain.m | 5,914 | utf_8 | b9ed2d87a22cb9cbb1e2632495ddaf1d | 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 notes ... |
github | P-Chao/acfdetect-master | rbfDemo.m | .m | acfdetect-master/toolbox/classify/rbfDemo.m | 2,929 | utf_8 | 14cc64fb77bcac3edec51cf6b84ab681 | 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
% 2: ... |
github | P-Chao/acfdetect-master | pdist2.m | .m | acfdetect-master/toolbox/classify/pdist2.m | 5,162 | utf_8 | 768ff9e8818251f756c8325368ee7d90 | 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)
% is the ... |
github | P-Chao/acfdetect-master | pca.m | .m | acfdetect-master/toolbox/classify/pca.m | 3,244 | utf_8 | 848f2eb05c18a6e448e9d22af27b9422 | 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
% d bas... |
github | P-Chao/acfdetect-master | kmeans2.m | .m | acfdetect-master/toolbox/classify/kmeans2.m | 5,251 | utf_8 | f941053f03c3e9eda40389a4cc64ee00 | 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 some w... |
github | P-Chao/acfdetect-master | acfModify.m | .m | acfdetect-master/toolbox/detector/acfModify.m | 4,202 | utf_8 | 7a49406d51e7a9431b8fd472be0476e8 | 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 be in... |
github | P-Chao/acfdetect-master | acfTrain.m | .m | acfdetect-master/toolbox/detector/acfTrain.m | 16,517 | UNKNOWN | a3e566f4a2f6911d7de22c43d54811ef | function detector = acfTrain( varargin )
% Train aggregate channel features object detector.
%
% Train aggregate channel features (ACF) object detector as described in:
% P. Doll�r, R. Appel, S. Belongie and P. Perona
% "Fast Feature Pyramids for Object Detection", PAMI 2014.
% The ACF detector is fast (30 fps on a ... |
github | P-Chao/acfdetect-master | acfDetect.m | .m | acfdetect-master/toolbox/detector/acfDetect.m | 3,704 | utf_8 | fc0b5fb5b9172ffeec4acf6785bac9ca | function [data, 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 sc... |
github | P-Chao/acfdetect-master | bbGt.m | .m | acfdetect-master/toolbox/detector/bbGt.m | 34,249 | utf_8 | 402dd4f5c62f7879a4da8690cb14e77d | 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 annotation sto... |
github | P-Chao/acfdetect-master | bbApply.m | .m | acfdetect-master/toolbox/detector/bbApply.m | 21,195 | utf_8 | cc9744e55c6b8442486ba7f71e3f84ce | 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 handle... |
github | P-Chao/acfdetect-master | imwrite2.m | .m | acfdetect-master/toolbox/images/imwrite2.m | 5,086 | utf_8 | c98d66c2cddd9ec90beb9b1bbde31fe0 | 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, fName, wri... |
github | P-Chao/acfdetect-master | convnFast.m | .m | acfdetect-master/toolbox/images/convnFast.m | 9,102 | utf_8 | 03d05e74bb7ae2ecb0afd0ac115fda39 | 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
% on wh... |
github | P-Chao/acfdetect-master | imMlGauss.m | .m | acfdetect-master/toolbox/images/imMlGauss.m | 5,674 | utf_8 | 56ead1b25fbe356f7912993d46468d02 | 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 the c... |
github | P-Chao/acfdetect-master | montage2.m | .m | acfdetect-master/toolbox/images/montage2.m | 7,484 | utf_8 | 828f57d7b1f67d36eeb6056f06568ebf | 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 = montage2( IS, ... |
github | P-Chao/acfdetect-master | jitterImage.m | .m | acfdetect-master/toolbox/images/jitterImage.m | 5,252 | utf_8 | 3310f8412af00fd504c6f94b8c48992c | 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 applie... |
github | P-Chao/acfdetect-master | movieToImages.m | .m | acfdetect-master/toolbox/images/movieToImages.m | 889 | utf_8 | 28c71798642af276951ee27e2d332540 | 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' ); [X,map]=gray2ind... |
github | P-Chao/acfdetect-master | toolboxUpdateHeader.m | .m | acfdetect-master/toolbox/external/toolboxUpdateHeader.m | 2,255 | utf_8 | 7a5b75e586be48da97c84d20b59887ff | function toolboxUpdateHeader
% Update the headers of all the files.
%
% USAGE
% toolboxUpdateHeader
%
% INPUTS
%
% OUTPUTS
%
% EXAMPLE
%
% See also
%
% Piotr's Computer Vision Matlab Toolbox Version 3.40
% Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
% Licensed under the Simplified BSD License [see extern... |
github | P-Chao/acfdetect-master | toolboxGenDoc.m | .m | acfdetect-master/toolbox/external/toolboxGenDoc.m | 3,639 | utf_8 | 4c21fb34fa9b6002a1a98a28ab40c270 | 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/overv... |
github | P-Chao/acfdetect-master | toolboxHeader.m | .m | acfdetect-master/toolbox/external/toolboxHeader.m | 2,391 | utf_8 | 30c24a94fb54ca82622719adcab17903 | 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.
%
% Next come... |
github | P-Chao/acfdetect-master | mdot.m | .m | acfdetect-master/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 | P-Chao/acfdetect-master | m2html.m | .m | acfdetect-master/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 | P-Chao/acfdetect-master | doxysearch.m | .m | acfdetect-master/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 | P-Chao/acfdetect-master | doxywrite.m | .m | acfdetect-master/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 | P-Chao/acfdetect-master | doxyread.m | .m | acfdetect-master/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 | P-Chao/acfdetect-master | imwrite2split.m | .m | acfdetect-master/toolbox/external/deprecated/imwrite2split.m | 1,617 | utf_8 | 4222fd45df123e6dec9ef40ae793004f | % 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 = imwrite2... |
github | P-Chao/acfdetect-master | playmovies.m | .m | acfdetect-master/toolbox/external/deprecated/playmovies.m | 1,935 | utf_8 | ef2eaad8a130936a1a281f1277ca0ea1 | % [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 introduce n... |
github | P-Chao/acfdetect-master | pca_apply_large.m | .m | acfdetect-master/toolbox/external/deprecated/pca_apply_large.m | 2,062 | utf_8 | af84a2179b9d8042519bc6b378736a88 | % 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_apply
%
%... |
github | P-Chao/acfdetect-master | montages2.m | .m | acfdetect-master/toolbox/external/deprecated/montages2.m | 2,269 | utf_8 | 505e2be915d65fff8bfef8473875cc98 | % 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] )
%
% INPUTS
% ... |
github | P-Chao/acfdetect-master | filter_gauss_1D.m | .m | acfdetect-master/toolbox/external/deprecated/filter_gauss_1D.m | 1,137 | utf_8 | 94a453b82dcdeba67bd886e042d552d9 | % 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 of filter
% ... |
github | P-Chao/acfdetect-master | clfEcoc.m | .m | acfdetect-master/toolbox/external/deprecated/clfEcoc.m | 1,493 | utf_8 | e77e1b4fd5469ed39f47dd6ed15f130f | 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 - bi... |
github | P-Chao/acfdetect-master | getargs.m | .m | acfdetect-master/toolbox/external/deprecated/getargs.m | 3,455 | utf_8 | de2bab917fa6b9ba3099f1c6b6d68cf0 | % 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 PNAMES o... |
github | P-Chao/acfdetect-master | normxcorrn_fg.m | .m | acfdetect-master/toolbox/external/deprecated/normxcorrn_fg.m | 2,699 | utf_8 | e65c38d97efb3a624e0fa94a97f75eb6 | % 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 specifi... |
github | P-Chao/acfdetect-master | makemovie.m | .m | acfdetect-master/toolbox/external/deprecated/makemovie.m | 1,266 | utf_8 | 9a03d9a5227c4eaa86520f206ce283e7 | % [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' );
% M = makemovie(... |
github | P-Chao/acfdetect-master | localsum_block.m | .m | acfdetect-master/toolbox/external/deprecated/localsum_block.m | 815 | utf_8 | 1216b03a3bd44ff1fc3256de16a2f1c6 | % 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
% dims -... |
github | P-Chao/acfdetect-master | imrotate2.m | .m | acfdetect-master/toolbox/external/deprecated/imrotate2.m | 1,326 | utf_8 | bb2ff6c3138ce5f53154d58d7ebc4f31 | % 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 - ['linear'] 'neare... |
github | P-Chao/acfdetect-master | imSubsResize.m | .m | acfdetect-master/toolbox/external/deprecated/imSubsResize.m | 1,338 | utf_8 | cd7dedf790c015adfb1f2d620e9ed82f | % 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 so
% l... |
github | P-Chao/acfdetect-master | imtranslate.m | .m | acfdetect-master/toolbox/external/deprecated/imtranslate.m | 1,183 | utf_8 | 054727fb31c105414b655c0f938b6ced | % 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 - ['linear... |
github | P-Chao/acfdetect-master | randperm2.m | .m | acfdetect-master/toolbox/external/deprecated/randperm2.m | 1,398 | utf_8 | 5007722f3d5f5ba7c0f83f32ef8a3a2c | % 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 randp... |
github | P-Chao/acfdetect-master | apply_homography.m | .m | acfdetect-master/toolbox/external/deprecated/apply_homography.m | 3,582 | utf_8 | 9c3ed72d35b1145f41114e6e6135b44f | % 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'. When ... |
github | P-Chao/acfdetect-master | pca_apply.m | .m | acfdetect-master/toolbox/external/deprecated/pca_apply.m | 2,427 | utf_8 | 0831befb6057f8502bc492227455019a | % 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
% genera... |
github | P-Chao/acfdetect-master | mode2.m | .m | acfdetect-master/toolbox/external/deprecated/mode2.m | 731 | utf_8 | 5c9321ef4b610b4f4a2d43902a68838e | % 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
% Written and maintain... |
github | P-Chao/acfdetect-master | savefig.m | .m | acfdetect-master/toolbox/external/other/savefig.m | 13,459 | utf_8 | 2b8463f9b01ceb743e440d8fb5755829 | 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 | P-Chao/acfdetect-master | dirSynch.m | .m | acfdetect-master/toolbox/matlab/dirSynch.m | 4,570 | utf_8 | d288299d31d15f1804183206d0aa0227 | 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 datestamp... |
github | P-Chao/acfdetect-master | plotRoc.m | .m | acfdetect-master/toolbox/matlab/plotRoc.m | 5,212 | utf_8 | 008f9c63073c6400c4960e9e213c47e5 | 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 exampl... |
github | P-Chao/acfdetect-master | simpleCache.m | .m | acfdetect-master/toolbox/matlab/simpleCache.m | 4,098 | utf_8 | 92df86b0b7e919c9a26388e598e4d370 | 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 same in... |
github | P-Chao/acfdetect-master | tpsInterpolate.m | .m | acfdetect-master/toolbox/matlab/tpsInterpolate.m | 1,646 | utf_8 | d3bd3a26d048f32cfdc17884ccae6d8c | 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] will disp... |
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