%LOAD_PTYCHO_ML_RECONS Load ML reconstructions from 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. % Created by YJ based on PSI's function. % function [object, probe, dx_spec] = load_aps_ML_recons( filename_with_path) if ~ischar(filename_with_path) error('First argument has to be string') end filename_with_path = utils.abspath(filename_with_path); %disp(filename_with_path) if ~exist(filename_with_path, 'file') error('Could not find reconstruction file %s', filename_with_path) end object = load(filename_with_path,'object'); object = object.object; probe = load(filename_with_path,'probe'); probe = probe.probe; parameter = load(filename_with_path,'p'); dx_spec = parameter.p.dx_spec; %pixel size %% legacy code: read recon from processed h5 files %{ object_r = h5read(filename_with_path,'/object_r'); object_i = h5read(filename_with_path,'/object_i'); object = object_r + 1i*object_i; probe_r = h5read(filename_with_path,'/probe_r'); probe_i = h5read(filename_with_path,'/probe_i'); probe = probe_r + 1i*probe_i; % load pixel size dx_spec = h5read(filename_with_path,'/dx_spec'); % load projection angle %ang = h5read(filename_with_path,'/angle'); %} end %% old PSI code, too complex for APS data %{ function varargout = load_ptycho_ML_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'); size(S) 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'); object_r = h5read(filename_with_path,'/object_r'); object_i = h5read(filename_with_path,'/object_i'); object = object_r + 1i*object_i; assign_struct(object, 'object'); case 'probe' % load probe %h = hdf5_load(filename_with_path, [h5_path '/probes']); %assign_struct(load_data_cell(h), 'probe'); probe_r = h5read(filename_with_path,'/probe_r'); probe_i = h5read(filename_with_path,'/probe_i'); probe = probe_r + 1i*probe_i; assign_struct(probe, '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 %}