64 lines
2.0 KiB
Matlab
64 lines
2.0 KiB
Matlab
function [ labels, valid_ids, vid_ids, filenames ] = extract_BP4D_labels_intensity( BP4D_dir, recs, aus )
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%EXTRACT_SEMAINE_LABELS Summary of this function goes here
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% Detailed explanation goes here
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files_all = dir(sprintf('%s/AU%02d/%s', BP4D_dir, aus(1), '/*.csv'));
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num_files = numel(files_all);
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labels = cell(num_files, 1);
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valid_ids = cell(num_files, 1);
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vid_ids = zeros(num_files, 2);
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filenames = cell(num_files, 1);
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file_id = 1;
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for r=1:numel(recs)
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files_root = sprintf('%s/AU%02d/', BP4D_dir, aus(1));
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files_all = dir([files_root, recs{r}, '*.csv']);
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for f=1:numel(files_all)
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for au=aus
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% Need to find relevant files for the relevant user and for the
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% relevant AU
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files_root = sprintf('%s/AU%02d/', BP4D_dir, au);
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files_all = dir([files_root, recs{r}, '*.csv']);
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file = [files_root, '/', files_all(f).name];
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[~, filename,~] = fileparts(file);
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filenames{file_id} = filename(1:7);
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intensities = csvread(file); % import annotations for one session
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frame_nums = intensities(:,1); % get all frame numbers
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codes = intensities(:,2);
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% Finding the invalid regions
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valid = codes ~= 9;
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vid_ids(file_id,:) = [frame_nums(1), frame_nums(end)];
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if(au == aus(1))
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valid_ids{file_id} = valid;
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labels{file_id} = codes;
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else
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valid_ids{file_id} = valid_ids{file_id} & valid;
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labels{file_id} = cat(2, labels{file_id}, codes);
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end
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end
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file_id = file_id + 1;
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end
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end
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labels = labels(1:file_id-1);
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valid_ids = valid_ids(1:file_id-1);
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vid_ids = vid_ids(1:file_id-1, :);
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filenames = filenames(1:file_id-1);
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end
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