diff --git a/main.cu b/main.cu
index 493ab06..fcaab35 100644
--- a/main.cu
+++ b/main.cu
@@ -29,8 +29,8 @@ stim::camera cam;					// camera object
 
 // overall parameters
 unsigned num_nets = 0;				// number of networks that've been loaded
-float sigma = 3.0;					// default sigma(resample rate) equals to 3.0
-float radius = 0.7;					// equals to radius
+float sigma = 3.0f;					// default sigma(resample rate) equals to 3.0
+float radius = 0.7f;					// equals to radius
 float delta;						// camera moving parameter
 
 // networks
@@ -296,13 +296,13 @@ void glut_render(void) {
 	stim::vec3<float> p2 = cam.getPosition();
 
 	// light	
-	GLfloat global_ambient[] = { 0.5, 0.5, 0.5, 1.0 };
-	GLfloat ambient[] = { 0.0, 0.0, 0.0, 1.0 };
-	GLfloat diffuse1[] = { 1.0, 1.0, 1.0, 1.0 };
-	GLfloat diffuse2[] = { 0.4, 0.4, 0.4, 1.0 };
-	GLfloat specular[] = { 1.0, 1.0, 1.0, 1.0 };
-	GLfloat position1[] = { p1[0], p1[1], p1[2], 1.0 };		// upper right light source
-	GLfloat position2[] = { p2[0], p2[1], p2[2], 1.0 };		// lower left light source
+	GLfloat global_ambient[] = { 0.5f, 0.5f, 0.5f, 1.0f };
+	GLfloat ambient[] = { 0.0f, 0.0f, 0.0f, 1.0f };
+	GLfloat diffuse1[] = { 1.0f, 1.0f, 1.0f, 1.0f };
+	GLfloat diffuse2[] = { 0.4f, 0.4f, 0.4f, 1.0f };
+	GLfloat specular[] = { 1.0f, 1.0f, 1.0f, 1.0f };
+	GLfloat position1[] = { p1[0], p1[1], p1[2], 1.0f };		// upper right light source
+	GLfloat position2[] = { p2[0], p2[1], p2[2], 1.0f };		// lower left light source
 
 	glClearColor(0.0, 0.0, 0.0, 1.0);
 	glShadeModel(GL_SMOOTH);
@@ -524,7 +524,7 @@ void glut_render(void) {
 		int Y = glutGet(GLUT_WINDOW_HEIGHT);							// get the current window height
 		glViewport(0, 0, X / 2, Y);										// locate to left bottom corner
 		gluOrtho2D(0, X, 0, Y);											// define othogonal aspect
-		glColor3f(0.8, 0.0, 0.0);										// using red to show mode
+		glColor3f(0.8f, 0.0f, 0.0f);										// using red to show mode
 
 		glMatrixMode(GL_MODELVIEW);
 		glPushMatrix();
@@ -972,7 +972,7 @@ int main(int argc, char* argv[])
 		GT = GT.resample(resample_rate * sigma);			// resample both networks based on the sigma value
 		T = T.resample(resample_rate * sigma);
 		if (args["mapping"].is_set()) {
-			float threshold = args["mapping"].as_float();
+			float threshold = (float)args["mapping"].as_float();
 			mapping(sigma, device, threshold);
 		}
 		else
--
libgit2 0.21.4