Updated Matlab demo code

matlab/+eos/+fitting/fit_shape_and_pose.m

@@ -26,15 +26,11 @@ function [mesh, rendering_parameters] = fit_shape_and_pose(morphable_model, ...
 %   contour_landmarks and model_contour as *filenames* to the respective
 %   files in the eos/share/ directory, and not the objects directly.
 
-morphable_model = '../share/sfm_shape_3448.bin';
-blendshapes = '../share/expression_blendshapes_3448.bin';
-landmarks = zeros(68, 2);
-landmark_mapper = '../share/ibug2did.txt';
-image_width = 1280;
-image_height = 720;
-edge_topology = '../share/sfm_3448_edge_topology.json';
-contour_landmarks = '../share/ibug2did.txt';
-model_contour = '../share/model_contours.json';
+% We'll use default values to the following arguments, if they're not
+% provided:
+if (~exist('edge_topology', 'var')), edge_topology = '../share/sfm_3448_edge_topology.json'; end
+if (~exist('contour_landmarks', 'var')), contour_landmarks = '../share/ibug2did.txt'; end
+if (~exist('model_contour', 'var')), model_contour = '../share/model_contours.json'; end
 if (~exist('num_iterations', 'var')), num_iterations = 5; end
 if (~exist('num_shape_coefficients_to_fit', 'var')), num_shape_coefficients_to_fit = -1; end
 if (~exist('lambda', 'var')), lambda = 30.0; end

matlab/demo.m

@@ -3,42 +3,38 @@
 %% Set up some required paths to files:
 model_file = '../share/sfm_shape_3448.bin';
 blendshapes_file = '../share/expression_blendshapes_3448.bin';
+landmark_mappings = '../share/ibug2did.txt';
 
-%% Read some ibug landmarks for an image:
-landmarks = read_pts_landmarks('D:\Github\data\ibug\helen\testset\30427236_1.pts');
+%% Load an image and its landmarks in ibug format:
+image = imread('../bin/data/image_0010.png');
+landmarks = read_pts_landmarks('../bin/data/image_0010.pts');
+image_width = size(image, 2); image_height = size(image, 1);
 
 %% Run the fitting, get back the fitted mesh and pose:
-[mesh, render_params] = eos.fitting.fit_shape_and_pose(model_file, blendshapes_file, landmarks);
+[mesh, render_params] = eos.fitting.fit_shape_and_pose(model_file, blendshapes_file, landmarks, landmark_mappings, image_width, image_height);
+% Note: The function actually has a few more arguments to files it
+% needs. If you're not running it from within eos/matlab/, you need to
+% provide them. See its documentation and .m file.
 
-%% Visualise the fitted mesh using your favourite tool, for example...
+%% Visualise the fitted mesh using your favourite plot, for example...
 figure(1);
-plot3(mesh.vertices(:,1), mesh.vertices(:,2), mesh.vertices(:,3), '.');
+plot3(mesh.vertices(:, 1), mesh.vertices(:, 2), mesh.vertices(:, 3), '.');
 % or...
-FV.vertices = mesh.vertices(:,1:3);
+FV.vertices = mesh.vertices(:, 1:3);
 FV.faces = mesh.tvi;
 figure(2);
 patch(FV, 'FaceColor', [1 1 1], 'EdgeColor', 'none', 'FaceLighting', 'phong'); light; axis equal; axis off;
 
 %% Visualise the fitting in 2D, on top of the input image:
-% First we project all vertices to 2D:
-points_2d = zeros(size(mesh.vertices, 1), 2);
-h = 720; w = 1280;
-viewport = [0, h, w, -h];
-for i=1:size(mesh.vertices, 1)
-    tmp = render_params.projection*render_params.modelview*mesh.vertices(i, :)';
-    	tmp = tmp .* 0.5 + 0.5;
-		tmp(1) = tmp(1) * viewport(3) + viewport(1);
-		tmp(2) = tmp(2) * viewport(4) + viewport(2);
-        points_2d(i, :) = tmp(1:2);
-end
-% Load the image, plot the projected mesh points on top of it:
-img = imread('D:\Github\data\ibug\helen\testset\30427236_1.jpg');
+% Project all vertices to 2D:
+points_2d = mesh.vertices * (render_params.viewport*render_params.projection*render_params.modelview)';
+% Display the image and plot the projected mesh points on top of it:
 figure(3);
-imshow(img);
+imshow(image);
 hold on;
-plot(points_2d(:,1), points_2d(:,2), 'g.');
+plot(points_2d(:, 1), points_2d(:, 2), 'g.');
 % We can also plot the landmarks the mesh was fitted to:
-plot(landmarks(:,1), landmarks(:,2), 'ro');
+plot(landmarks(:, 1), landmarks(:, 2), 'ro');
 
 
 %% Just a helper function to read ibug .pts landmarks from a file: