fix mirrored picture problem

app.py

@@ -106,11 +106,32 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
         if not detect_faces_roboflow(temp_image_path):
             return JSONResponse(status_code=400, content={"error": "No face detected."})
 
+        # First, try to detect eyes on the original image
+        print("--- Attempting detection on original image... ---")
         eye_crops, error_msg = detect_eyes_roboflow(temp_image_path, raw_image)
+        
+        # If that fails, create a mirrored version and try again
+        if len(eye_crops) != 2:
+            print("--- Original failed. Attempting detection on mirrored image... ---")
+            mirrored_image = cv2.flip(raw_image, 1) # 1 means a horizontal flip
+        
+            # We need a new temporary file for the mirrored image to send to Roboflow
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp_mirrored:
+                cv2.imwrite(tmp_mirrored.name, mirrored_image)
+                temp_mirrored_image_path = tmp_mirrored.name
+        
+            try:
+                # Run detection again on the new mirrored image
+                # NOTE: We use mirrored_image for cropping, not raw_image
+                eye_crops, error_msg = detect_eyes_roboflow(temp_mirrored_image_path, mirrored_image)
+            finally:
+                # Always clean up the second temporary file
+                os.remove(temp_mirrored_image_path)
+        
+        # Finally, after trying both original and mirrored, check if we have a valid result
         if error_msg or len(eye_crops) != 2:
-            # This change returns a proper error that your frontend can catch.
             return JSONResponse(
-                status_code=400, 
+                status_code=400,
                 content={"error": "Could not detect exactly two eyes. Please try another photo."}
             )