From f7dd92128a77f0859d627eae59722ef6691f2fde Mon Sep 17 00:00:00 2001 From: Joris Date: Thu, 12 Oct 2023 10:44:03 +0200 Subject: [PATCH 1/6] Example downloading file from dandi and reading image --- examples/dandi_example.mlx | Bin 0 -> 4620 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 examples/dandi_example.mlx diff --git a/examples/dandi_example.mlx b/examples/dandi_example.mlx new file mode 100644 index 0000000000000000000000000000000000000000..2dcc0d3f8ff73331b3346e63ce00142e6ae9b6e7 GIT binary patch literal 4620 zcmaKw2Q=G%_s3(zC}OK!t5(fYdsK-PTNOo>*g_DyXscFRdsXc{8q^*|D`?P~Mb#du zReQE*c+&s#oPU4y{GMOV`6eeh=f2PP^SbwY?|sJrLO@6d002mE7bjo>typ>k4*;kj z003xlzgVck-M#JIy{&Htc-SMXMEu=g^-2ADonlmB+rgJUnkF}S+$6cW`S{9HGPP2L z_C;7mX{_5shE(taDO~{|h>+CX(|09fSFLy13fe`aTAtOv6d;#^U*T)-X4)KNKFw!p zq=s)1>dAm;?&Nc6PU{^csw#c%WdZ_ft4gRGdwb!s?B311p`9 z7uxa=CxN_dPDfhK8Vk!?uA0;21=-nK6Q^~#BI~u13t^`Zu0K}q%oU{V?%CZ(usW`*jweb> zHW*$n(NZWOylR@CV4`O&6<2GaT}~j7YeItvRD<-siK=mgp^kYhq$g?g6QoM&5hvN= zA6+-v(b@$E2^H7bWFAV=kF@(4a6(r0=_OQ>>0v3kiVrbOmU%rS1!Q%N}Mj+27|*JM-<7iHS61Z1D0iTCXSxY7%;0E1s{O^1ghjGJ<~-506-Z3UAAsE-Y^?m zQ9C%)#|>A#zsh#g+zmb@MRm4i?RjYMMcu8}cd=0S8@ZO{YrIJzC!+(^%Z$lt8ZaIs z?lS(ZNbC`t03_AAp~*G0?Y@fOI9)(%%gR-+2*(`TwwCEhkpxy>>_Bgl=0qfS<`b~YQD zUFlAE#VlyoA~$01#*HGs-MLr!%2d0uFEXA#iZn;%rljF*~3jH!f>LtwyO#=ko>Sxx47*X^aG zm%iCuwTPq_(L09LaiKc9s<|^!+d73bL#&!XNI{TrSuIdadbMK|5k$S>v@{5cHL0$7 zBGW*j2g=lqakyDHmI~c?%|E5i3a3t`bL8NPzNVW`;;o7J?)Nham8?}X^(fbo&Imj_ z0ol;cEO(#3o}?mu+UZr5_h(Y%^t1sPyll4>RFV`J#1(6WOd4zS zRZ&5gu6QYqR-NU|ZMOAsL!sW0Y1c@;52#XarFLv8LBqPZ&o))P8mU|2m)v*s-uF9Z zI;(RXrQkDP34yXhpXRb4jt*-FOA0VZ%pf~@$xIC|MU0SqSW>q2tx})|3phBK6RD2H zENq>#%(I&W6m&4?_s&5%6Gj<&iwnM*F+Bw( zoD_G;fuhi?u+q`>jibPpnJqQLv570KlT%aco13~}-;21lq;{P&x6u;dIY=MqdHy6UswK_6yyj#qLB$pX)-FFrZX?uTK+9*<2} zXl>Kg6AWvc`J3GOeB|A1^NWY&%60d@3ap4g#Pe!2YZ4_qtYUN*q>DG0_nlA(8H%#F zU0NgWB+IX1MN$Z}w3G#1f)b)1wH@^D9g@}r6IdtLM%1oXmh`I|*6Ktkn#LS`_+X^p za_O2cvom){v1Clft9Y-#`HZ?g^e}l)ievK$3j_A4bERABe)ar5^dsH5=jHd@IGNE zq*ZyVmM9iBkm5d=dNmeujS0k?3GAkmg2%k}S5tEO$kKeX#cHF8h+V~D>Rskbv!M8{ zCdJRMS{dA%j`EH+`ujM*A|#g()!nFq#;T+s&LZ6uS;4r$Q3P~Za>nCnTy;g-#7uum zTC%pzP}^CB>)J_`lyyJ^kli$bz<5m<+mOdqXQJ0CN$*0EVjsJ}lR}jvx4iV7_Z+IW zs4>MKPC$0VYAsU3`g8B*eH8z7yJ49t3UYD{@7rizEZf?Vw7Gw;a)>PNjL};M!8=#( zvFtR~95EALecddxn_`QBg!y&Oo zo!Ps(faz;*!Kb<5X^mEQ=X1xd7JpeE01O(2Ld7~Q5{BhR7KBc=Onijt-Ryw0Ui%r6 zwlZQWl@dwyJbjiUifi`E4>cPsEN5GuE0eQgFATjRBK?VE+!oP>TOp`%Tf~2c9^A*< z!{`4--puD2?M^W|;vG|_Hovu%$y=#;Q5;b%X-YRO2i2>s3wzDxX1jcAkv4ch(%Bp5 zlCoI(PwcI7sqZ%c<^Ag}YyODwmn!uYwXKt)S>rDvGrG*F$(LB{nCx6pEGUam$oxUJ zmtYB~jw<=%5{sT}eBzx@21Z?klM4hJIMx~(P)86rl8CO@|27y8+!`snI}&Ju8VtTW@i+ zQ)#CFMn3?^lT1HAP>&T*v;tLj3qIklGiH(_sMLxe#?rr+FrpE@S{=8@B2bo^IH^Gz zO*c4p_cn}$R}zY^$Xi88`%?U*cH7+l$7P4UThDi)r()IAwElOapSgANI7Gkh{&8gU z={#(=Px<`jL#NxYEcDNFO53*OL1nyPj4uUr3xFRiP5U!9OQqn*cqvKbC&8b43(_X1 znGu&lCVT*Z0Alylq6Ga4&lUFSv)jm$$P$;@AEXlc1vC$-x-0eM%qpfUIr+ zR=5dD&yp0cR>#B)!P%+}@SPeTiXttt-aOIRQ<_VP+ZMhfKa)r4aqqCWOQ?wPaYAr` zj>Te0V3v^Bo=Td!ciUr{Z4|Wbl|y))mXkDa)v8P?(Z<|xeQq1u zrnM{vP9-Zyc|1HHm}nTND@iyU#nGdZ_N6x}?t{9X_UYCe!y!$4HYYI@ZR+*Cei!;9 z1`)l?4hgwOBWGL+ytK{xF8L8Qnvp?Y7tf+wr{@%7t#y-Sr?v4b9Z2XkaGfn=93jq>LZK=bSu#%Cpt-#V`Vjpb_6p&b9kOR>WtD?AG^WKLUFmk%bZD zh$9+|V-6_UXhMpp#Oa^EG>O`4FELuopfcBA{?8R{F}t7G7wAj0ROD3Le-v$%`*pFn{9asCeB40r!kWLB~L zG@%@f;O|PnPIgod8fIWx?`}xhKCf~8lFTD#cuqZX^W}pr)>$`)TlzaH@>BCd_Kc5H zD#wq8=TA3p#WIHT!$f%<^H8EBj6QB1{eoGMNI!`mrJT9go(LjJ@c};VC#>yJ@yyhb zW5?o!pP1yxWS=O&24E<$he?Cij zkSBs3Ega2|7X2Yd6Nby3=5uro{MxNn|0%44ufx)b$=rh07vKl5!`<4igsn3cOx)cb)hi`Mj4H~Md Date: Wed, 25 Oct 2023 17:20:18 +0200 Subject: [PATCH 2/6] Support nwb files with custom datastore --- datastore/DeepInterpolationDataStore.m | 125 ++++++++++++++++++++----- 1 file changed, 102 insertions(+), 23 deletions(-) diff --git a/datastore/DeepInterpolationDataStore.m b/datastore/DeepInterpolationDataStore.m index aed9c4d..fa6129e 100644 --- a/datastore/DeepInterpolationDataStore.m +++ b/datastore/DeepInterpolationDataStore.m @@ -31,6 +31,8 @@ setFramesStartIndex double currentFrameIndex double allSetFrameStartIndices double + datasetType string + NwbDatasetPath string end methods % begin methods section @@ -39,6 +41,8 @@ filePath options = struct(); end + assert(isfile(filePath)); + myds.fileName = filePath; if isfield(options, 'doAutoResize') myds.doAutoResize = logical(options.doAutoResize); else % default @@ -63,23 +67,42 @@ else % default myds.outputFrameSize = [512, 512]; end - assert(isfile(filePath)); - myds.fileName = filePath; - fileInfo = imfinfo(myds.fileName); - assert(strcmp(fileInfo(1).Format,'tif'), "Must be tiff format"); + if isfield(options, 'datasetType') + if ~ismember(options.datasetType, {'nwb', 'tiff'}) + error('The dataset type is either "nwb" or "tiff".'); + end + myds.datasetType = options.datasetType; + else + myds.datasetType = 'tiff'; + end + if strcmp(myds.datasetType, 'nwb') + if ~isfield(options, 'NwbDatasetPath') + myds.NwbDatasetPath = '/acquisition/motion_corrected_stack/data'; + else + myds.NwbDatasetPath = options.NwbDatasetPath; + end + try + h5info(myds.fileName, myds.NwbDatasetPath); + catch ME + error('Cannot read the selected path from the nwb file: %s', ME.message); + end + end + dimensions = getFileFrameDimensions(myds); if ~myds.doAutoResize - assert((fileInfo(1).Width == myds.outputFrameSize(1)) ... - && (fileInfo(1).Height == myds.outputFrameSize(2)),... + assert((dimensions.Width == myds.outputFrameSize(1)) ... + && (dimensions.Height == myds.outputFrameSize(2)),... "Actual frame size is not equal to specified outputFrameSize"); end framePerSetCount = myds.numberOfFlankingFrames + 3; - assert(numel(fileInfo) >= framePerSetCount, "Not enough frames in stack for DeepInterpolation"); - myds.frameCount = numel(fileInfo); + assert(getNumberOfFrames(myds) >= framePerSetCount, "Not enough frames in stack for DeepInterpolation"); + myds.frameCount = getNumberOfFrames(myds); myds.dsSetCount = myds.frameCount - framePerSetCount + 1; myds.allSetFrameStartIndices = 1:myds.dsSetCount; reset(myds); end + + function tf = hasdata(myds) % Return true if more data is available. tf = myds.setsAvailable > 0; @@ -88,11 +111,7 @@ function [data,info] = read(myds) % Read data and information about the extracted data. assert(hasdata(myds), "No more data to read"); - rawRefFrame = imread(myds.fileName,myds.currentFrameIndex); - if myds.doAutoResize - rawRefFrame = imresize(rawRefFrame,myds.outputFrameSize); - end - refFrame = single(rawRefFrame); + refFrame = getSingleFrame(myds, myds.currentFrameIndex); flankingFrames = single( ... ones(myds.outputFrameSize(1), ... myds.outputFrameSize(2), ... @@ -100,11 +119,7 @@ ); framecount = 1; for leftFrame = 0:(myds.numberOfFlankingFrames/2) - 1 - rawThisFrame = imread(myds.fileName,myds.setFramesStartIndex+leftFrame); - if myds.doAutoResize - rawThisFrame = imresize(rawThisFrame,myds.outputFrameSize); - end - thisFrame = single(rawThisFrame); + thisFrame = getSingleFrame(myds, myds.setFramesStartIndex+leftFrame); flankingFrames(:,:,framecount) = thisFrame; framecount = framecount + 1; end @@ -112,11 +127,7 @@ %frame before and one after is left out. startRightFrame = myds.numberOfFlankingFrames/2 + 3; for rightFrame = startRightFrame:startRightFrame + myds.numberOfFlankingFrames/2 - 1 - rawThisFrame = imread(myds.fileName,myds.setFramesStartIndex+rightFrame); - if myds.doAutoResize - rawThisFrame = imresize(rawThisFrame,myds.outputFrameSize); - end - thisFrame = single(rawThisFrame); + thisFrame = getSingleFrame(myds, myds.setFramesStartIndex+rightFrame); flankingFrames(:,:,framecount) = thisFrame; framecount = framecount + 1; end @@ -176,6 +187,74 @@ function reset(myds) function n = maxpartitions(myds) n = myds.dsSetCount; end + + function rawFrame = readFrameFromTiff(myds, index) + rawFrame = imread(myds.fileName, index); + end + + function rawFrame = readFrameFromNwb(myds, index) + dimensions = getNwbFrameDimensions(myds); + index = double(index); + rawFrame = h5read(myds.fileName, myds.NwbDatasetPath, [1, 1, index], [dimensions.Width, dimensions.Height, 1]); + end + + function frame = getSingleFrame(myds, index) + if strcmp(myds.datasetType, 'tiff') + rawFrame = readFrameFromTiff(myds, index); + elseif strcmp(myds.datasetType, 'nwb') + rawFrame = readFrameFromNwb(myds, index); + else + error('Unsupported dataset type.'); + end + if myds.doAutoResize + rawFrame = imresize(rawFrame, myds.outputFrameSize); + end + frame = single(rawFrame); + end + + function dimensions = getTiffFrameDimensions(myds) + fileInfo = imfinfo(myds.fileName); + dimensions.Width = fileInfo(1).Width; + dimensions.Height = fileInfo(1).Height; + end + + function dimensions = getNwbFrameDimensions(myds) + datasetInfo = h5info(myds.fileName, myds.NwbDatasetPath); + datasetSize = datasetInfo.Dataspace.Size; + dimensions.Width = datasetSize(1); + dimensions.Height = datasetSize(2); + end + + function dimensions = getFileFrameDimensions(myds) + if strcmp(myds.datasetType, 'tiff') + dimensions = getTiffFrameDimensions(myds); + elseif strcmp(myds.datasetType, 'nwb') + dimensions = getNwbFrameDimensions(myds); + else + error('Unsupported dataset type.'); + end + end + + function numFrames = getTiffNumberOfFrames(myds) + fileInfo = imfinfo(myds.fileName); + numFrames = numel(fileInfo); + end + + function numFrames = getNwbNumberOfFrames(myds) + datasetInfo = h5info(myds.fileName, myds.NwbDatasetPath); + numFrames = datasetInfo.Dataspace.Size(3); + end + + function numFrames = getNumberOfFrames(myds) + if strcmp(myds.datasetType, 'tiff') + numFrames = getTiffNumberOfFrames(myds); + elseif strcmp(myds.datasetType, 'nwb') + numFrames = getNwbNumberOfFrames(myds); + else + error('Unsupported dataset type.'); + end + end + end end \ No newline at end of file From 6872b84e48f27103f10a475986482732dd8861be Mon Sep 17 00:00:00 2001 From: Joris Date: Wed, 25 Oct 2023 17:41:14 +0200 Subject: [PATCH 3/6] Create live script showing using dandisets and custom datastore --- examples/dandi_example.mlx | Bin 4620 -> 6029 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/examples/dandi_example.mlx b/examples/dandi_example.mlx index 2dcc0d3f8ff73331b3346e63ce00142e6ae9b6e7..11d5fceac05f55ba5243f0b85874b9f523502f8d 100644 GIT binary patch delta 4083 zcmY+HXEYp4+sD_kdRuL^5G`bttX`rdN<>*bN)Tn06;>z2vV`cO*XW5FHEMKL4^dVZ zHKMm5NVLa&pZ7WEdC!@-=0Dfc?wAKvJwQ^xI$6CD82}I|oHznx#+dGS z%uCSR?6(6a;ZMd5^4Z>HO;zC3R;7MxZojrJx{5pYxl1DkP9&fLz&}a0wqJSU9p0Dr zX4$DokLb(ebj1@m{WVXt#U9WCw|2*VT;-J89By%lt(t(~X;)IdJ{XDZUHTn>zE-M+ z5G!aKmy(PYy{welRC#Ximl$!xg-Ox*84+FJ`hZR(kGXB|lNyIjoZ5RBDYOpYw_&a#1+IoHtyGY8N zqKpB}ZUe0E(@rmCN(W}wk5hKA=sK?Sd-lfdXR8yv|NPg;^L}xztxF1|3V68DaYfSeVmfYX9X##wB zZ?@fC$OP7c>!-mSsF1Ve=ncOhIlLmxrMclCPS)|wvPW3T26GAe4E-L@H5e(og3^4q zU(5QbbmwGoxTxl!%(kptgZK{OR`P49)lOv z(}r`Zxk#!ye;^(Ux~lT1=X}fQ)KjL_Kr<$158d9}{BVAul`bk4p%(QO6tzhKIWo;2 zYB~WDcrln`_uVv}pIocBOG+3Y1Ab1r9?cq=cL=s0nb;>jH4s4(S@+uBMPl=CvsbS!`Sl6MgU5tO*3kz}P`I9GM7p8e$*^%|Fq#5daHuQEKErM(bH?Fqp z%eGH3*>OhTy3k2%!>I-C#$HS(>K^sUV8%0km6@Vnr7`(Ukm#s@}Zf3`ivZ<3Qf z<{1HGN4v{;&maEfjf@7F-J}DF;LbrgDU6sfK9~(C#O{mm(qWj|{k7a1W`*!W|NcvS zYK}ocB&)kP>+9_4h7E*6Roz>3gRQ5Hi1+eXRl|!|Q`ni~{_mTwt&6kbrUf-UFF)+V zyXID+60ryxk<#j!vV3xF3Vh!7R_CW1f^$2|p^WvGbr*7q%HyDZMySEZpRC4+ zDU>OUYU5Pc1B4e8mOYbTsBpM|>HB%G+600g`nFNdkJ=MqgfdTRd~PkNxbi|u;+4t{l{PeNB_@%9!rRz)vel-Pp~S!C1^VCU`WZD+nLsnCRrTZ8>SHA1 zQiEhWQVnekN#<0pE0%?q-jrm^sr!oVJ0) zN{)6X*@Rn=AMd@W!LE4|VO?r>gGFK>Mea6BiijG5lQr~h7B4=_{&G_n-7>Vo7nWsM zD4yw+%ppd%oqPI=qaOwA0M3Scg?lZud>ySjejVfeg31*+j6qMY9oPc$r;4<8DX7S+ zrn70jkIA7&1EdU{?MN>*;+Bt&X7`<5HHlsXOygvCcT-2_r_&F)LKgPE2?j=`8eGJG zEthG?dp$C7KhdtK1UGkfXQsv0pzr|3%obN7nWbfq`fQPIM*M68G3-}VJ=$;lfd2jt z?D}uYAL-{`cQ7ZR8u1yDmVrr%k<%PMDl?_Kxeq-e)9-+QLEjDq0|y5mc6R&(Qr49U zEqy>#+Np)Ysn98WRm1w6%Xe~RoA8~g=PiN-zd!PH!#FnQ--b`JKOTEIrNSxyis+`( znP8M%$i6MflP(dZY15qFZ$^|<1gsdbULd!_ecAxje1dVgMs zCE)jlGF=Wbv63cb(Mju4t6v_t}R5fA&Vl^bpHxSXRJ(L z+N(TBg_JvW6OcD<>1cCbnEqU8iQIob66u1wAyk)yZFVh$Cw;p1I}I}>aDXpSw1&z?=q_Yn5jBFG65SEGAG$m-`^tPlI$9j>p|c=i%b=7K4D{cFCZjKr>J#R|T< zYTRR>;&}Hy&w~D_RDdDRf@-g@-GY9p-T$=_{d5f3JbNBW$xpOk0h83*i&8pb_dohG z5qxkj=jdd9O&?j`mV@5tw*BrEprE-0Lx%mXrSNxO726J7YRDnN&2%r%x6;}ROYS$p z)j8OBcUP-eRx>}|uS_b}`0&!9tlXx~OvcT9E+VRAm8y%Q=YsJnApW$u3VMk)3-9f5 z&9QHnP5#mhqZJcs$CRO)h08W%*^l&Zob)mkwS1V}^ITl^ovHHHzr8}VtqOP#{q`C> zkdY{$wMX#2^G%4|`dUa8Gr*Khbi9|7uN|gZG2+j{hV@aqmyNf`DJ{RLkoT0PKv5SO zz!#}pqMMY#9(hmKCgSsul`||fbWAFGoe1H;*mBB)T_s{B#ON^Atr695Th%ICt-~bK zB13hhqF0IZaWEhJQF4~Rj}S}@WSG@XRjKmkbp#IPgqL6lh}ns@+Z0Wx2Lw;YtQbqy z5~dlIrLPR$cc6kX6jhTuAi*#nZBbS~W)zU{z#$Z&{oz^1>Jl(zr6KU6dB$Ao$LuliJE+xQwf2NJke=n%Q&$VEZ`Eo15J>nNvXd|s4q4shKe2%RdqJ@Z{AD9`KVf02w^#2mob6j*qRKmegaxek!x!=@6c zDT+OyxU+<~Qq7onE!jjP*~HBPh>|7GrE?Uj)Bf2*|5`g3Y7TBex6KhWzlj;By95{w+1)RW{1SS9m7E8^iS9Qou@JY=~J0p$~mKIS{jf3L?u@21kHSi{zKW}VnP>%zK zZC+0!22fv z6etr5sJU4Gec0O!(=EjEZ{fed0d-;&*_}j9Fm)mr%nW=?lPCyQ1FF;BE-VR@6p6WD YC{UX2pIzbsB~{`nn3_<5{+}EE0}3IV#Q*>R delta 2660 zcmV-q3Y+zfFN`Fx#R3XGcQ@U{1^@s{7?aNe8h=@BZ`(Ey{_bCK^-$PGZOL}xq)qA! zNnEc1+AL^N^g|aIltf2tBvK=(DDH>-_8lopmS48GYl6LCK`Pf2dAz&l?ztoL`p5e? zf;%b|6MR_jIo&!??u&r&n_>Oq)wuJr{^QZ>>>v<+8dI(T=W}(C4eO!S$${%CKcq2H zj(ftnipUEVlbjpZN}Vkk$vc+5v9o)*Hk7VA{y<1jOh?Yga^#b)^?4|S3a;Y zz1I)#8_p6cBgSvR`sbbS?Y6mV6#6DGTYnSjhwP48kJPK`R$i{ES4ytThma_U37AD{&UBIA)D0T2#$T_F#qQp8Zz z8K(pwDb8g$c*la2L^zAYROOSIcAmtubCZ{h@KIlnf=uy4pxub?Or#Rf97uetDt`_w zsj~${H|WCDb9@o!Xywlij#aU;gE+PgP7a(+jb=ck)s|!IuPEC_9B&bp6lWkJj4Mr| z2y{qu_jmk=!IVj*+kl{F6jDXe*-P+ESwz($78c+c6c3nt?kmYXhPQ}e(QZ zL;;mB1PswMIlR6;dT<*>eSIOTM*ZXA?*AL$9#wgx!WK`--(w+>)D|4xE~t!v=?Ega zq4bz+JS=yWQ?YQPtTWyxQB_ z>+S7Lg!iQ*NjC9lNbZ=BFIY@&=nLB&I6U(jhqX1qMICx)ut4F3|4G7}HNWDZOO&Zo z?qFxo-KD+#4)yl>om~>_cF6vY-+4*=;8ow-4ZNKlw-D~)&Wc7z34b&&yW&QxiflzH z-x0%~=%VDB0=<$x7|y1?FO_ZwKAFaBY0QScEwZL}DJ2>zim0ZGI&S)yd2-|x-tI+; 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You can individually view ( (\*) This data-intensive example is recommended for use on a local machine, not for MATLAB online. +#### Custom Datastore for DeepInterpolation +For large datasets that are too large to load entirely into memory, the custom datastore offers a solution. By initializing the datastore with a dataset's path, users can sequentially access both flanking frames and their respective center frames. This allows for easy training and inference. + +For a detailed introduction and a practical workflow, see the customdatastore_example. + +#### Using DANDI Datasets +DeepInterpolation can also easily work with datasets stored on the DANDI archive. Instructions for downloading files from DANDI and subsequently training and inferring from those NWB files are available in dandi_example. ### Support DeepInterpolation with MATLAB is a public repository. Contributions can be made in the form of adding issues or submitting pull requests. diff --git a/examples/dandi_example.mlx b/examples/dandi_example.mlx index 11d5fceac05f55ba5243f0b85874b9f523502f8d..a5a5951eb06d9cbcbb586a28fa0be5b207a24860 100644 GIT binary patch delta 4049 zcmaKvXHe5!x5Xh8fzS!PgHjC%8UbliL=i&of)MG50-;E#e~^xVKvas&U*8KK!9yKq6O(sO zyM}DvI)e^lz6~+>=T2^B{gi;&O9Lheniiljkf2@3QfZ5)m*9ml%`0(=q245gcgW{+ zsr&g++M^Ne9SiSI<=(7KrCHyNBLv7IP5#F^)yhs#CM7%mPID-Y#9 zBMXIaT%+oq73!XvEZM@fGG6(aeq()GrVH)v4Vr0j7*CzJz+`#Du9f#n@$1y zKDXo5ao4I@%(TOYhmERwY9*RTEXCgY!dMrFu@pQq7GV`aDU5c=mM16@V)2$-MII8Y zu~tkc0uLE&2oJ6n>p80pw|FWsYcgR)##EMB21DLwflv*?|xzNk|L zI9S~PFhxnd^YhhIipsg^t&EFjtSY_p>WmVF`|{fT9T=MX=?Bq2BUImKS)6HzHS`ZC z3`NOrw7%0RykjwB?lLEMLQ@=YrVREi?Hy6RpObw1sAAXhx8TsEYolcT1mgj^>sArd zWf+rO;7LRBAt;Bdw!_~c~y*UV}4D=++zFw-eAnG7V7UU0_FuD3gPPg*bg<6189 z_(xU{_=ob-<$GjMnV5z9YM|n;9Lf^8am>S1LUlrii}lp!Pw#Mse#OK3a0RKB6+gb2 zq@XTt)-b3^!r{zd70)blOS0!Yo87${J60%pnpokP3-uQ_>#0~MHw~9v0#}y 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Van Hooser" Date: Mon, 11 Dec 2023 19:28:32 -0500 Subject: [PATCH 6/6] temporarily dropping dandi_hub example from version 7 --- README.md | 3 --- examples/customdatastore_example.mlx | Bin 5315 -> 159202 bytes examples/dandi_example.mlx | Bin 6026 -> 0 bytes gettingStarted.mlx | Bin 3566 -> 3595 bytes 4 files changed, 3 deletions(-) delete mode 100644 examples/dandi_example.mlx diff --git a/README.md b/README.md index 75d285f..edf4ef0 100644 --- a/README.md +++ b/README.md @@ -36,8 +36,5 @@ For large datasets that are too large to load entirely into memory, the custom d For a detailed introduction and a practical workflow, see the customdatastore_example. -#### Using DANDI Datasets -DeepInterpolation can also easily work with datasets stored on the DANDI archive. Instructions for downloading files from DANDI and subsequently training and inferring from those NWB files are available in dandi_example. - ### Support DeepInterpolation with MATLAB is a public repository. 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