%LOAD_PTYCHO_RECONS Load data from cxs/h5 or mat file and return it as % structure, single dataset or directly into the workspace. % An additional argument can be passed to select subsections of the data. % Loading single datasets is only supported for at least 2 output % arguments. % % file... path to cxs/h5 or mat file % % *optional* % section... 'full', 'probe', 'object', 'recon' or 'p' to select % subsections of the data; default: 'full' % % EXAMPLES: % %% recommended usage %% % % load into a structure % S = load_ptycho_recons('./recon.h5'); % % % load a subset % S = load_ptycho_recons('./recon.h5', 'probe'); % % % load into single datasets % [object, probe, p] = load_ptycho_recons('./recon.h5'); % % %% not recommended, only works in 'base' workspace %% % % load directly into workspace % load_ptycho_recons('./recon.h5'); % % % full = object, probe (current scan) and p % recon = object and probe (current scan) % probe = probe (current scan) % object = object (current scan) % function varargout = load_ptycho_recons( filename_with_path, varargin ) import io.HDF.hdf5_load varargout = {}; if ~ischar(filename_with_path) error('First argument has to be string') end filename_with_path = utils.abspath(filename_with_path); if ~exist(filename_with_path, 'file') error('Could not find reconstruction file %s', filename_with_path) end if nargin > 1 switch varargin{1} case {'pr'; 'probe'; 'probes'} section = 'probe'; case {'ob'; 'obj'; 'objects'} section = 'object'; otherwise section = varargin{1}; end else section = 'full'; end if ~nargout output = 0; elseif nargout >=2 output = 2; else output = 1; end function assign_struct(val, val_name) switch output case 1 varargout{1}.(val_name) = val; case 2 varargout{end+1} = val; otherwise assignin('base', val_name, val); end end function assign_val(struc) switch output case 1 varargout{1} = struc; case 2 if isfield(struc, 'object') varargout{end+1} = struc.object; end if isfield(struc, 'probe') varargout{end+1} = struc.probe; end if isfield(struc, 'p') varargout{end+1} = struc.p; end otherwise fn = fieldnames(struc); for ii=1:length(fn) assignin('base', fn{ii}, struc.(fn{ii})) end end end % check if it is a .mat file or a .cxs file [~, ~, ext] = fileparts(filename_with_path); switch ext case '.mat' switch section case 'recon' S = load(filename_with_path, 'object', 'probe'); assign_val(S); case 'full' S = load(filename_with_path); assign_val(S); case 'object' S = load(filename_with_path, 'object'); assign_val(S); case 'probe' S = load(filename_with_path, 'probe'); assign_val(S); case 'p' S = load(filename_with_path, 'p'); assign_val(S); otherwise error('Unknown data section %s', section); end case {'.cxs','.h5'} if io.HDF.hdf5_dset_exists(filename_with_path, 'object', '/reconstruction', true) h5_path = '/reconstruction'; else h5_path = ''; end % reconstruction switch section case 'recon' % load object h = hdf5_load(filename_with_path, [h5_path '/object']); assign_struct(load_data_cell(h), 'object'); % load probe h = hdf5_load(filename_with_path, [h5_path '/probes']); assign_struct(load_data_cell(h), 'probe'); case 'full' % load object h = hdf5_load(filename_with_path, [h5_path '/object']); assign_struct(load_data_cell(h), 'object'); % load probe h = hdf5_load(filename_with_path, [h5_path '/probes']); assign_struct(load_data_cell(h), 'probe'); % load p p = convert2p(hdf5_load(filename_with_path, '/reconstruction/p', '-c')); if io.HDF.hdf5_dset_exists(filename_with_path, 'meta_all', '/measurement', true) p.meta = hdf5_load(filename_with_path, '/measurement/meta_all', '-c'); elseif io.HDF.hdf5_dset_exists(filename_with_path, 'spec_all', '/measurement', true) p.meta = hdf5_load(filename_with_path, '/measurement/spec_all', '-c'); end assign_struct(p, 'p'); case 'object' % load object h = hdf5_load(filename_with_path, [h5_path '/object']); assign_struct(load_data_cell(h), 'object'); case 'probe' % load probe h = hdf5_load(filename_with_path, [h5_path '/probes']); assign_struct(load_data_cell(h), 'probe'); case 'p' % load p p = convert2p(hdf5_load(filename_with_path, '/reconstruction/p', '-c')); if io.HDF.hdf5_dset_exists(filename_with_path, 'meta_all', '/measurement', true) p.meta = hdf5_load(filename_with_path, '/measurement/meta_all', '-c'); elseif io.HDF.hdf5_dset_exists(filename_with_path, 'spec_all', '/measurement', true) p.meta = hdf5_load(filename_with_path, '/measurement/spec_all', '-c'); end assign_struct(p, 'p'); otherwise error('Unknown data section %s', section); end otherwise error('Unknown ptycho datatype %s.', ext) end end function tmp = load_data_cell(h) fn = fieldnames(h); num_end = str2double(subsref(strsplit(fn{1}, '_'), struct('type', '{}', 'subs',{{length(strsplit(fn{1},'_'))}}))); if length(fn)==2 && (strcmpi(fn{1}, 'i') || strcmpi(fn{1}, 'r')) tmp = permute(h.r + 1i*h.i, [2,1,3,4]); elseif isnumeric(num_end) && ~isnan(num_end) for ii=1:length(fn) if isstruct(h.(fn{ii})) tmp{ii} = load_data_cell(h.(fn{ii})); else if isnumeric(h.(fn{ii})) tmp{ii} = double(h.(fn{ii})); else tmp{ii} = h.(fn{ii}); end end end % tmp = h; else for ii=1:length(fn) if isstruct(h.(fn{ii})) tmp.(fn{ii}) = load_data_cell(h.(fn{ii})); else if isnumeric(h.(fn{ii})) tmp.(fn{ii}) = double(h.(fn{ii})); else tmp.(fn{ii}) = h.(fn{ii}); end end end end end function tmp = convert2p(h) fn = fieldnames(h); for ii=1:length(fn) if isstruct(h.(fn{ii})) h.(fn{ii}) = load_data_cell(h.(fn{ii})); elseif isnumeric(h.(fn{ii})) h.(fn{ii}) = double(h.(fn{ii})); else continue; end end tmp = h; % object for ii=1:length(h.objects) tmp.object{ii} = permute(h.objects{ii}, [2 1 3 4]); end tmp = rmfield(tmp, 'objects'); % probes pr = tmp.probes; tmp.probes = []; for ii=1:length(pr) tmp.probes(:,:,ii,:) = permute(pr{ii}, [2 1 3 4]); end % positions tmp.positions = transpose(tmp.positions); tmp.positions_real = transpose(tmp.positions_real); tmp.positions_orig = transpose(tmp.positions_orig); % ctr tmp.ctr = transpose(tmp.ctr); end