49 lines
2.0 KiB
Matlab
49 lines
2.0 KiB
Matlab
function [contrast_array, periodX_array, periodY_array] = analyzeGSWavefunction_multipleruns(folder_base_path, numberofruns)
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% Extract the last two folder names from folder_base_path
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folder_parts = strsplit(folder_base_path, '/');
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if length(folder_parts) >= 2
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video_name_base = strcat(folder_parts{end-1}, '_', folder_parts{end});
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else
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video_name_base = folder_parts{end}; % In case there's only one folder in the path
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end
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% Create the output video name with .mp4 extension
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output_video_name = strcat(video_name_base, '_wavefunction_analysis.mp4');
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% Initialize arrays to store contrast, periodX, and periodY for each run
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contrast_array = zeros(1, numberofruns);
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periodX_array = zeros(1, numberofruns);
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periodY_array = zeros(1, numberofruns);
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% Set up video writer
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videoObj = VideoWriter(output_video_name, 'MPEG-4'); % Create a video file object
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videoObj.FrameRate = 1; % Set the frame rate (adjust as needed)
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videoObj.Quality = 100; % Maximum quality (for compression)
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open(videoObj); % Open the video file for writing
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% Loop through all the runs and process each folder
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for run_index = 1:numberofruns
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% Call the function that processes the wavefunction data
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[contrast, periodX, periodY] = Scripts.analyzeGSWavefunction(folder_base_path, run_index);
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% Store the results in the arrays
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contrast_array(run_index) = contrast;
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periodX_array(run_index) = periodX;
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periodY_array(run_index) = periodY;
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% Capture the current figure (output of analyzeGSWavefunction_multipleruns)
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frame = getframe(gcf); % Get current figure as a frame
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writeVideo(videoObj, frame); % Write the frame to the video file
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% Optionally close the figure if you don't need it
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close(gcf);
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end
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% Close the video writer after all frames have been added
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close(videoObj);
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fprintf('Video saved as %s\n', output_video_name);
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% Return the arrays
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end
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