diff --git a/src/gui/bridge.rs b/src/gui/bridge.rs
index 8eb794f..beece2e 100644
--- a/src/gui/bridge.rs
+++ b/src/gui/bridge.rs
@@ -181,27 +181,6 @@ impl FaceDetectionBridge {
         nms_threshold: f32,
         executor_type: ExecutorType,
     ) -> Result<(usize, usize, f32), Box<dyn std::error::Error + Send + Sync>> {
-        // Load both images
-        // let img1 = image::open(&image1_path)?.to_rgb8();
-        // let img2 = image::open(&image2_path)?.to_rgb8();
-
-        // Convert to ndarray format
-        // let image1_array = img1.as_ndarray()?;
-        // let image2_array = img2.as_ndarray()?;
-
-        // Create detection configuration
-        let config1 = FaceDetectionConfig::default()
-            .with_threshold(threshold)
-            .with_nms_threshold(nms_threshold)
-            .with_input_width(1024)
-            .with_input_height(1024);
-
-        let config2 = FaceDetectionConfig::default()
-            .with_threshold(threshold)
-            .with_nms_threshold(nms_threshold)
-            .with_input_width(1024)
-            .with_input_height(1024);
-
         // Create detector and embedder, detect faces and generate embeddings
         let (faces1, faces2, best_similarity) = match executor_type {
             ExecutorType::MnnCpu | ExecutorType::MnnMetal | ExecutorType::MnnCoreML => {
@@ -303,7 +282,6 @@ where
         .change_context(Error)
         .attach_printable(image.to_string_lossy().to_string())?;
     let image = image.into_rgb8();
-    // let (image_width, image_height) = image.dimensions();
     let mut array = image
         .into_ndarray()
         .change_context(errors::Error)
@@ -317,7 +295,6 @@ where
         )
         .change_context(errors::Error)
         .attach_printable("Failed to detect faces")?;
-    dbg!(&output);
 
     for bbox in &output.bbox {
         tracing::info!("Detected face: {:?}", bbox);