mirror

app.py

@@ -27,7 +27,7 @@ def process_frame(image):
     """
     Processes a frame by:
       1. Converting RGB to BGR for OpenCV.
-      2. Flipping the frame for a mirror view.
+      2. Flipping the frame horizontally for a mirror view.
       3. Creating a black background.
       4. Drawing body landmarks and computing shoulder center.
       5. Drawing facial mesh and extracting chin point.
@@ -35,7 +35,7 @@ def process_frame(image):
       7. Converting the result back to RGB.
     """
     frame = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    frame = cv2.flip(frame, 1)
+    frame = cv2.flip(frame, 1)  # Flip horizontally for mirror effect
     output = np.zeros_like(frame)
     rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
 
@@ -94,11 +94,11 @@ def process_frame(image):
 # --- Gradio Interface for Live Webcam Inference ---
 iface = gr.Interface(
     fn=process_frame,
-    inputs=gr.Image(sources=["webcam"], streaming=True, label="Webcam Input"),  # Live webcam stream
+    inputs=gr.Image(sources=["webcam"], streaming=True, label="Webcam Input"),
     outputs=gr.Image(type="numpy", label="Processed Output"),
     live=True,
-    title="Live Body Posture & Neck Analysis (No Face Pose)",
-    description="Real-time webcam analysis using MediaPipe Pose and Face Mesh with live inference."
+    title="Live Body Posture & Neck Analysis (Mirror View)",
+    description="Real-time webcam analysis using MediaPipe Pose and Face Mesh with live inference and mirrored camera view."
 )
 
 iface.launch()