complete besdies exhibition

src/Bullet.cpp

@@ -126,7 +126,7 @@ void Bullet::update(bool& is_controller_active, Node& chosen_node, vector<Node*>
     float vel_magnitude = glm::length(camera_velocity);
     static float current_zoom = 0.05f;
     float target_zoom = ofMap(vel_magnitude, 0, MAX_VELOCITY, 0.05, 0.3, true);
-    current_zoom = current_zoom + (target_zoom - current_zoom) * 0.1f;
+    current_zoom = current_zoom + (target_zoom - current_zoom) * 0.05f;
     
     // Calculate scale-out factor if we're in random walk mode
     if (random_walk_time > SCALE_OUT_START_TIME) {

src/Bullet.h

@@ -170,10 +170,10 @@ class Bullet{
         const float RANDOM_WALK_RADIUS = 450.0f;
         const float RANDOM_WALK_SPEED = 40.0f;  // Adjust for slower/faster movement
         const float TARGET_REACHED_DISTANCE = 5.0f;
-        const float RANDOM_WALK_DELAY = 10.0f;  // 5 seconds delay
+        const float RANDOM_WALK_DELAY = 30.0f;  // 5 seconds delay
 
-        const float SCALE_OUT_START_TIME = 30.0f;  // When to start scaling out
+        const float SCALE_OUT_START_TIME = 10.0f;  // When to start scaling out
-        const float SCALE_OUT_DURATION = 60.0f;    // How long to scale out
+        const float SCALE_OUT_DURATION = 20.0f;    // How long to scale out
         const float INITIAL_SCALE = 0.05f;         // Starting scale
         const float TARGET_SCALE = 0.2f;           // Final scale
 

src/ofApp.cpp

@@ -137,7 +137,7 @@ void ofApp::update(){
     }
 
 
-    if(current_time - last_updated_time >= 0.1){
+    if(current_time - last_updated_time >= 1.0){
         buildKDTree();
         getNearestImages();
         last_updated_time = current_time;
@@ -187,7 +187,7 @@ void ofApp::update(){
     }
 
     if(ofGetElapsedTimef() > tsne_start_time + TNSE_DURATION){
-        tsne_iter_idx = (tsne_iter_idx + 1) % 9;
+        tsne_iter_idx = (tsne_iter_idx + 1) % 3;
         updateTSNEPositions(nodes);
     }
 }
@@ -598,8 +598,8 @@ void ofApp::createNodes(std::string json_path){
     tsne_points = tsne.run(tsne_input, dims, perplexity, theta, normalise, runManually);
 
     // Option 1: Using nested loops
-    for(size_t i = 0; i < 9; i++) {
+    for(size_t i = 0; i < 3; i++) {
-        for(size_t t = 0; t <= 100; t++) {
+        for(size_t t = 0; t <= 300; t++) {
             tsne_points = tsne.iterate();
         }
         point_iterations.push_back(tsne_points);