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cnn_ucf101_get_im_flow_batch.m
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cnn_ucf101_get_im_flow_batch.m
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function imo = cnn_ucf101_get_im_flow_batch(images, varargin)
opts.nFramesPerVid = 1;
opts.numAugments = 1;
opts.frameSample = 'uniformly';
opts.flowDir = '';
opts.imageDir = '';
opts.temporalStride = 0;
opts.imageSize = [224, 224] ;
opts.border = [32, 32] ;
opts.averageImage = [] ;
opts.rgbVariance = [] ;
opts.augmentation = 'croponly' ;
opts.interpolation = 'bilinear' ;
opts.numAugments = 1 ;
opts.numThreads = 1 ;
opts.prefetch = false ;
opts.keepAspect = true;
opts.cheapResize = 0;
opts.nFrameStack = 10;
opts.frameList = NaN;
opts.nFrames = [];
[opts, varargin] = vl_argparse(opts, varargin);
flowDir = opts.flowDir;
imgDir = opts.imageDir;
% prefetch is used to load images in a separate thread
prefetch = opts.prefetch & isempty(opts.frameList);
switch opts.augmentation
case 'croponly'
tfs = [.5 ; .5 ; 0 ];
case 'f5'
tfs = [...
.5 0 0 1 1 .5 0 0 1 1 ;
.5 0 1 0 1 .5 0 1 0 1 ;
0 0 0 0 0 1 1 1 1 1] ;
case 'f25'
[tx,ty] = meshgrid(linspace(0,1,5)) ;
tfs = [tx(:)' ; ty(:)' ; zeros(1,numel(tx))] ;
tfs_ = tfs ;
tfs_(3,:) = 1 ;
tfs = [tfs,tfs_] ;
case 'noCtr'
[tx1,ty1] = meshgrid(linspace(.75,1,20)) ;
[tx2,ty2] = meshgrid(linspace(0,.25,20)) ;
tx = [tx1 tx2]; ty = [ty1 ty2];
tfs = [tx(:)' ; ty(:)' ; zeros(1,numel(tx))] ;
tfs_ = tfs ;
tfs_(3,:) = 1 ;
tfs = [tfs,tfs_] ;
end
nStack = opts.imageSize(3);
if iscell(opts.frameList)
im = vl_imreadjpeg(opts.frameList{1}, 'numThreads', opts.numThreads) ;
sampled_frame_nr = opts.frameList{2};
else
sampleFrameLeftRight = floor(nStack/4); % divide by 4 because of left,right,u,v
frameOffsets = [-sampleFrameLeftRight:sampleFrameLeftRight-1]';
frames = cell(numel(images), nStack, opts.nFramesPerVid);
frames_rgb = cell(numel(images), 1, opts.nFramesPerVid);
sampled_frame_nr = cell(numel(images),1);
for i=1:numel(images)
vid_name = images{i};
nFrames = opts.nFrames(i);
if strcmp(opts.frameSample, 'uniformly')
sampleRate = max(floor((nFrames-nStack/2)/opts.nFramesPerVid),1);
opts.temporalStride = sampleRate;
frameSamples = vl_colsubset(nStack/4+1:nFrames-nStack/4, opts.nFramesPerVid, 'uniform') ;
elseif strcmp(opts.frameSample, 'temporalStride')
frameSamples = nStack/4+1:opts.temporalStride:nFrames-nStack/4 ;
if length(frameSamples) < opts.nFrameStack,
frameSamples = round(linspace(nStack/4+1, nFrames - nStack/4, opts.nFrameStack)) ;
opts.temporalStride = frameSamples(2) - frameSamples(1);
end
elseif strcmp(opts.frameSample, 'random')
frameSamples = randperm(nFrames-nStack/2)+nStack/4;
elseif strcmp(opts.frameSample, 'temporalStrideRandom')
frameSamples = nStack/4 +1:opts.temporalStride:nFrames - nStack/4 ;
end
if length(frameSamples) < opts.nFramesPerVid,
if length(frameSamples) > opts.nFrameStack
frameSamples = frameSamples(1:length(frameSamples)-mod(length(frameSamples),opts.nFrameStack));
end
diff = opts.nFramesPerVid - length(frameSamples);
addFrames = 0;
while diff > 0
last_frame = min(frameSamples(end), max(nFrames - nStack/4 - opts.nFrameStack,nStack/4 ));
if mod(addFrames,2) % add to the front
addSamples = nStack/4+1:opts.temporalStride:nFrames - nStack/4;
addSamples = addSamples(1: length(addSamples) - mod(length(addSamples),opts.nFrameStack));
if length(addSamples) > diff, addSamples = addSamples(1:diff); end
else % add to the back
addSamples = fliplr(nFrames - nStack/4 : -opts.temporalStride: nStack/4+1);
addSamples = addSamples(mod(length(addSamples),opts.nFrameStack)+1:length(addSamples));
if length(addSamples) > diff, addSamples = addSamples(end-diff+1:end); end
end
if addFrames > 20,
addSamples = round(linspace(nStack/4+1, nFrames - nStack/4, opts.nFrameStack)) ;
end
frameSamples = [frameSamples addSamples];
diff = opts.nFramesPerVid - length(frameSamples);
opts.temporalStride = max(ceil(opts.temporalStride-1), 1);
addFrames = addFrames+1;
end
end
if length(frameSamples) > opts.nFramesPerVid
s = randi(length(frameSamples)-opts.nFramesPerVid);
frameSamples = frameSamples(s+1:s+opts.nFramesPerVid);
end
for k = 1:opts.nFramesPerVid
frames_rgb{i,1,k} = [vid_name 'frame' sprintf('%06d.jpg', frameSamples(k))] ;
end
frameSamples = repmat(frameSamples,nStack/2,1) + repmat(frameOffsets,1,size(frameSamples,2));
for k = 1:opts.nFramesPerVid
for j = 1:nStack/2
frames{i,(j-1)*2+1, k} = ['u' filesep vid_name 'frame' sprintf('%06d.jpg', frameSamples(j,k)) ] ;
frames{i,(j-1)*2+2, k} = ['v' frames{i,(j-1)*2+1, k}(2:end)];
end
end
sampled_frame_nr{i} = frameSamples;
end
frames_rgb = strcat([imgDir filesep], frames_rgb);
if ~isempty(flowDir)
frames = strcat([flowDir filesep], frames);
frames = cat(2, frames, frames_rgb);
else
frames = frames_rgb;
end
if opts.numThreads > 0
if prefetch
vl_imreadjpeg(frames, 'numThreads', opts.numThreads, 'prefetch') ;
imo = {frames sampled_frame_nr} ;
return ;
end
im = vl_imreadjpeg(frames, 'numThreads', opts.numThreads) ;
end
end
if strcmp(opts.augmentation, 'none')
szw = cellfun(@(x) size(x,2),im);
szh = cellfun(@(x) size(x,1),im);
h_min = min(szh(:));
w_min = min(szw(:));
sz = [h_min w_min] ;
sz = max(opts.imageSize(1:2), sz);
sz = min(2*opts.imageSize(1:2), sz);
scal = ([h_min w_min] ./ sz);
imo = ( zeros(sz(1), sz(2), opts.imageSize(3)+3, ...
numel(images), 2 * opts.nFramesPerVid, 'single') );
for i=1:numel(images)
si = 1 ;
for k = 1:opts.nFramesPerVid
if numel(unique(szw)) > 1 || numel(unique(szh)) > 1
for l=1:size(im,2)
im{i,l,k} = im{i,l,k}(1:h_min,1:w_min,:);
end
end
imt = cat(3, im{i,:,k}) ;
if any(scal ~= 1)
imt = imresize(imt, sz );
end
imo(:, :, :, i, si) = imt;
imo(:, :, :, i, si+1) = imt(:, end:-1:1,:);
imo(:, :, 1:2:nStack, i, si+1) = -imt(:, end:-1:1, 1:2:nStack) + 255; %invert u if we flip
si = si + 2 ;
end
end
if ~isempty(opts.averageImage)
opts.averageImage = mean(mean(opts.averageImage,1),2) ;
imo = bsxfun(@minus, imo,opts.averageImage) ;
end
return;
end
% augment now
if exist('tfs', 'var')
[~,transformations] = sort(rand(size(tfs,2), numel(images)*opts.nFramesPerVid), 1) ;
end
imo = ( zeros(opts.imageSize(1), opts.imageSize(2), opts.imageSize(3)+3, ...
numel(images), opts.numAugments * opts.nFramesPerVid, 'single') ) ;
for i=1:numel(images)
si = 1 ;
szw = cellfun(@(x) size(x,2),im);
szh = cellfun(@(x) size(x,1),im);
h_min = min(szh(:));
w_min = min(szw(:));
sz = round(min(opts.imageSize(1:2)' .* (.75+0.5*rand(2,1)), [h_min; w_min])) ; % 0.75 +- 0.5, not keep aspect
for k = 1:opts.nFramesPerVid
if numel(unique(szw)) > 1 || numel(unique(szh)) > 1
for l=1:size(im,2)
im{i,l,k} = im{i,l,k}(1:h_min,1:w_min,:);
end
end
imt = cat(3, im{i,:,k}) ;
w = size(imt,2) ;
h = size(imt,1) ;
if ~strcmp(opts.augmentation, 'uniform')
if ~isempty(opts.rgbVariance) % colour jittering only in training case
offset = zeros(size(imt));
offset = bsxfun(@minus, offset, reshape(opts.rgbVariance * randn(opts.imageSize(3),1), 1,1,opts.imageSize(3))) ;
imt = bsxfun(@minus, imt, offset) ;
end
for ai = 1:opts.numAugments
switch opts.augmentation
case 'randCropFlip'
sz = opts.imageSize(1:2) ;
dx = randi(w - sz(2) + 1 ) ;
dy = randi(h - sz(1) + 1 ) ;
flip = rand > 0.5 ;
case 'noCtr'
tf = tfs(:, transformations(mod(i+ai-1, numel(transformations)) + 1)) ;
dx = floor((w - sz(2)) * tf(2)) + 1 ;
dy = floor((h - sz(1)) * tf(1)) + 1 ;
flip = tf(3) ;
otherwise
sz = opts.imageSize(1:2) ;
tf = tfs(:, transformations(mod(ai-1, numel(transformations)) + 1)) ;
dx = floor((w - sz(2)) * tf(2)) + 1 ;
dy = floor((h - sz(1)) * tf(1)) + 1 ;
flip = tf(3) ;
end
if opts.cheapResize
sx = round(linspace(dx, sz(2)+dx-1, opts.imageSize(2))) ;
sy = round(linspace(dy, sz(1)+dy-1, opts.imageSize(1))) ;
else
factor = [opts.imageSize(1)/sz(1) ...
opts.imageSize(2)/sz(2)];
if any(abs(factor - 1) > 0.0001)
imt = imresize(gather(imt(dy:sz(1)+dy-1,dx:sz(2)+dx-1,:)), [opts.imageSize(1:2)]);
end
sx = 1:opts.imageSize(2); sy = 1:opts.imageSize(1);
end
if flip
sx = fliplr(sx) ;
imo(:,:,:,i,si) = imt(sy,sx,:) ;
imo(:,:,1:2:nStack,i,si) = -imt(sy,sx,1:2:nStack) + 255; %invert u if we flip
else
imo(:,:,:,i,si) = imt(sy,sx,:) ;
end
si = si + 1 ;
end
else
% sample (4 corners, center, and their x-axis flips)
w = size(imt,2) ; h = size(imt,1) ;
indices_y = [0 h-opts.imageSize(1)] + 1;
indices_x = [0 w-opts.imageSize(2)] + 1;
center_y = floor(indices_y(2) / 2)+1;
center_x = floor(indices_x(2) / 2)+1;
if opts.numAugments == 6, indices_y = center_y;
elseif opts.numAugments == 2, indices_x = []; indices_y = [];
elseif opts.numAugments ~= 10, error('only 6 or 10 uniform crops allowed');
end
for y = indices_y
for x = indices_x
imo(:, :, :, i, si) = ...
imt(y:y+opts.imageSize(1)-1, x:x+opts.imageSize(2)-1, :);
imo(:, :, :, i, si+1) = imo(:, end:-1:1, :, i, si);
imo(:, :, 1:2:nStack, i, si+1) = -imo(:, end:-1:1, 1:2:nStack, i, si) + 255; %invert u if we flip
si = si + 2 ;
end
end
imo(:,:,:, i,si) = imt(center_y:center_y+opts.imageSize(1)-1,center_x:center_x+opts.imageSize(2)-1,:);
imo(:,:,:, i,si+1) = imo(:, end:-1:1, :, i, si);
imo(:,:,1:2:nStack, i,si+1) = -imo(:, end:-1:1, 1:2:nStack, i, si) + 255; %invert u if we flip
si = si + 2;
end
end
end
if ~isempty(opts.averageImage)
imo = bsxfun(@minus, imo, opts.averageImage) ;
end
end