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Better script for reading hog files.

This commit is contained in:
Tadas Baltrusaitis 2017-10-13 08:56:27 +01:00
parent 46bd0869ad
commit 239ce3f693
4 changed files with 61 additions and 90 deletions
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59
matlab_runners/Demos/Read_HOG_file.m Normal file
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@ -0,0 +1,59 @@
function [hog_data, valid_inds] = Read_HOG_file(hog_file)
valid_inds = [];
f = fopen(hog_file, 'r');
% Pre-allocated data
curr_data = [];
curr_ind = 0;
while(~feof(f))
if(curr_ind == 0)
num_cols = fread(f, 1, 'int32');
if(isempty(num_cols))
break;
end
num_rows = fread(f, 1, 'int32');
num_chan = fread(f, 1, 'int32');
curr_ind = curr_ind + 1;
% preallocate some space
if(curr_ind == 1)
curr_data = zeros(1000, 1 + num_rows * num_cols * num_chan);
num_feats = 1 + num_rows * num_cols * num_chan;
end
if(curr_ind > size(curr_data,1))
curr_data = cat(1, curr_data, zeros(1000, 1 + num_rows * num_cols * num_chan));
end
feature_vec = fread(f, [1, 1 + num_rows * num_cols * num_chan], 'float32');
curr_data(curr_ind, :) = feature_vec;
else
% Reading in batches of 5000
feature_vec = fread(f, [4 + num_rows * num_cols * num_chan, 5000], 'float32');
feature_vec = feature_vec(4:end,:)';
num_rows_read = size(feature_vec,1);
if(~isempty(feature_vec))
curr_data(curr_ind+1:curr_ind+num_rows_read,:) = feature_vec;
curr_ind = curr_ind + size(feature_vec,1);
end
end
end
fclose(f);
% Do some cleanup, remove un-allocated data
if(~isempty(curr_data))
valid_inds = curr_data(1:curr_ind,1);
hog_data = curr_data(1:curr_ind,2:end);
end
end

88
matlab_runners/Demos/Read_HOG_files.m
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@ -1,88 +0,0 @@
function [hog_data, valid_inds, vid_id] = Read_HOG_files(users, hog_data_dir)
hog_data = [];
vid_id = {};
valid_inds = [];
feats_filled = 0;
for i=1:numel(users)
hog_files = dir([hog_data_dir, users{i} '*.hog']);
for h=1:numel(hog_files)
hog_file = [hog_data_dir, hog_files(h).name];
f = fopen(hog_file, 'r');
curr_data = [];
curr_ind = 0;
while(~feof(f))
if(curr_ind == 0)
num_cols = fread(f, 1, 'int32');
if(isempty(num_cols))
break;
end
num_rows = fread(f, 1, 'int32');
num_chan = fread(f, 1, 'int32');
curr_ind = curr_ind + 1;
% preallocate some space
if(curr_ind == 1)
curr_data = zeros(1000, 1 + num_rows * num_cols * num_chan);
num_feats = 1 + num_rows * num_cols * num_chan;
end
if(curr_ind > size(curr_data,1))
curr_data = cat(1, curr_data, zeros(1000, 1 + num_rows * num_cols * num_chan));
end
feature_vec = fread(f, [1, 1 + num_rows * num_cols * num_chan], 'float32');
curr_data(curr_ind, :) = feature_vec;
else
% Reading in batches of 5000
feature_vec = fread(f, [4 + num_rows * num_cols * num_chan, 5000], 'float32');
feature_vec = feature_vec(4:end,:)';
num_rows_read = size(feature_vec,1);
if(~isempty(feature_vec))
curr_data(curr_ind+1:curr_ind+num_rows_read,:) = feature_vec;
curr_ind = curr_ind + size(feature_vec,1);
end
end
end
fclose(f);
curr_data = curr_data(1:curr_ind,:);
vid_id_curr = cell(curr_ind,1);
vid_id_curr(:) = users(i);
vid_id = cat(1, vid_id, vid_id_curr);
% Assume same number of frames per video
if(i==1 && h == 1)
hog_data = zeros(curr_ind * numel(users) * 8, num_feats);
end
if(size(hog_data,1) < feats_filled+curr_ind)
hog_data = cat(1, hog_data, zeros(size(hog_data,1), num_feats));
end
hog_data(feats_filled+1:feats_filled+curr_ind,:) = curr_data;
feats_filled = feats_filled + curr_ind;
end
end
if(~isempty(hog_data))
valid_inds = hog_data(1:feats_filled,1);
hog_data = hog_data(1:feats_filled,2:end);
end
end

2
matlab_runners/Demos/feature_extraction_demo_img_seq.m
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@ -134,7 +134,7 @@ title('Pose (rotation and translation)');
xlabel('Time (s)');
%% Output HOG files
[hog_data, valid_inds, vid_id] = Read_HOG_files({name}, output);
[hog_data, valid_inds] = Read_HOG_file(outputHOG_aligned);
%% Output aligned images
img_files = dir([outputDir_aligned, '/*.png']);

2
matlab_runners/Demos/feature_extraction_demo_vid.m
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@ -160,7 +160,7 @@ legend('show');
hold off;
%% Output HOG files
[hog_data, valid_inds, vid_id] = Read_HOG_files({name}, output);
[hog_data, valid_inds] = Read_HOG_file(outputHOG_aligned);
%% Output aligned images
img_files = dir([outputDir_aligned, '/*.png']);