no upscaling

app.py

@@ -54,6 +54,14 @@ with st.sidebar:
         track_color=rgb(50, 50, 50),
     )
 
+    upscale = st_toggle_switch(
+        "Upscale",
+        key="upscale",
+        default_value=True,
+        active_color=rgb(255, 75, 75),
+        track_color=rgb(50, 50, 50),
+    )
+
     st.markdown("## Webcam & Stream")
     resolution = st.selectbox(
         "Webcam Resolution",
@@ -165,7 +173,7 @@ def video_frame_callback(frame: av.VideoFrame) -> av.VideoFrame:
 
         # Draw detections
         start = time.time()
-        frame = draw_detections(frame, detections)
+        frame = draw_detections(frame, detections, upscale=upscale)
         stats = stats._replace(drawing=(time.time() - start) * 1000)
 
     # Convert frame back to av.VideoFrame

tools/face_recognition.py

@@ -149,13 +149,7 @@ def process_gallery(files, face_detection_model, face_recognition_model):
 
 
 def draw_detections(
-    frame, detections, bbox=True, landmarks=True, name=True, upscale=True
-):
-    if upscale:
-        frame = cv2.resize(
-            frame, (1920, 1080)
-        )  # Upscale frame for better visualization
-
+    frame, detections, bbox=True, landmarks=True, name=True):
     shape = np.asarray(frame.shape[:2][::-1])
 
     for detection in detections:
@@ -165,7 +159,7 @@ def draw_detections(
                 cv2.circle(
                     frame,
                     (np.asarray(landmark) * shape).astype(int),
-                    5,
+                    2,
                     (0, 0, 255),
                     -1,
                 )
@@ -200,8 +194,8 @@ def draw_detections(
                     int(detection.bbox[0] * shape[0] + shape[0] // 400),
                     int(detection.bbox[1] * shape[1] - shape[1] // 100),
                 ),
-                cv2.FONT_HERSHEY_SIMPLEX,
-                1,
+                cv2.LINE_AA,
+                0.5,
                 (0, 0, 0),
                 2,
             )