59 lines
1.8 KiB
Matlab
59 lines
1.8 KiB
Matlab
function [hog_data, valid_inds, vid_id] = Read_HOG_files_dynamic(users, vid_ids, hog_data_dir)
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hog_data = [];
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vid_id = {};
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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, '/train/' users{i} '.hog'];
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if(~exist(hog_file, 'file'))
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hog_file = [hog_data_dir, '/devel/' users{i} '.hog'];
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end
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f = fopen(hog_file, 'r');
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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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num_feats = num_rows * num_cols * num_chan + 1;
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% go to the beginning
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fseek(f, 0, 'bof');
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% Read only the relevant bits
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% Skip to the right start element (1 indexed)
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fseek(f, 4*(4+num_rows*num_rows*num_chan)*(vid_ids(i,1)-1), 'bof');
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feature_vec = fread(f, [4 + num_rows * num_cols * num_chan, vid_ids(i,2) - vid_ids(i,1)], 'float32');
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fclose(f);
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curr_data = feature_vec(4:end,:)';
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curr_ind = size(curr_data,1);
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vid_id_curr = cell(size(curr_data,1),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(sum(vid_ids(:,2)-vid_ids(:,1)), num_feats);
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end
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curr_data(:,2:end) = bsxfun(@plus, curr_data(:,2:end), -median(curr_data(:,2: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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valid_inds = hog_data(:,1) > 0;
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hog_data = hog_data(:,2:end);
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end |