91 lines
2.8 KiB
Matlab
91 lines
2.8 KiB
Matlab
function [hog_data, valid_data, vid_id] = Read_HOG_files_dynamic(users, hog_data_dir)
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hog_data = [];
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vid_id = {};
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valid_data = [];
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feats_filled = 0;
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for i=1:numel(users)
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hog_file = [hog_data_dir, 'LeftVideo' users{i} '_comp.hog'];
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f = fopen(hog_file, 'r');
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curr_data = [];
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curr_ind = 0;
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while(~feof(f))
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if(curr_ind == 0)
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num_cols = fread(f, 1, 'int32');
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if(isempty(num_cols))
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break;
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end
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num_rows = fread(f, 1, 'int32');
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num_chan = fread(f, 1, 'int32');
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curr_ind = curr_ind + 1;
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% preallocate some space
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if(curr_ind == 1)
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curr_data = zeros(5000, 1 + num_rows * num_cols * num_chan);
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num_feats = 1 + num_rows * num_cols * num_chan;
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end
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if(curr_ind > size(curr_data,1))
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curr_data = cat(1, curr_data, zeros(6000, 1 + num_rows * num_cols * num_chan));
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end
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feature_vec = fread(f, [1, 1 + num_rows * num_cols * num_chan], 'float32');
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curr_data(curr_ind, :) = feature_vec;
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else
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% Reading in batches of 5000
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feature_vec = fread(f, [4 + num_rows * num_cols * num_chan, 5000], 'float32');
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feature_vec = feature_vec(4:end,:)';
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num_rows_read = size(feature_vec,1);
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curr_data(curr_ind+1:curr_ind+num_rows_read,:) = feature_vec;
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curr_ind = curr_ind + size(feature_vec,1);
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end
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end
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fclose(f);
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curr_data = curr_data(1:curr_ind,:);
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valid = logical(curr_data(:, 1));
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curr_data(:, 2:end) = bsxfun(@plus, curr_data(:, 2:end), -median(curr_data(valid, 2:end)));
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vid_id_curr = cell(curr_ind,1);
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vid_id_curr(:) = users(i);
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vid_id = cat(1, vid_id, vid_id_curr);
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% Assume same number of frames per video
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if(i==1)
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hog_data = zeros(curr_ind*numel(users), num_feats);
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end
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if(size(hog_data,1) < feats_filled+curr_ind)
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hog_data = cat(1, hog_data, zeros(size(hog_data,1), num_feats));
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end
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hog_data(feats_filled+1:feats_filled+curr_ind,:) = curr_data;
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feats_filled = feats_filled + curr_ind;
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end
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if(numel(users) > 0)
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valid_data = hog_data(1:feats_filled,1) > 0;
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hog_data = hog_data(1:feats_filled,2:end);
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end
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end |