diff --git a/stitching/scan.py b/stitching/scan.py
index 891d78db91aabcca56e8393812b9d513f8db03a1..1a3245d5bba262df94448672772e80089d805c4b 100644
--- a/stitching/scan.py
+++ b/stitching/scan.py
@@ -55,7 +55,7 @@ def get_biggest_subset(img_names, imgs, features, matches, conf_thresh=1.0, matc
     num = len(indices)
     if num < 2:
         print('Need more images')
-        exit()
+        raise SystemExit
     for i in range(num):
         img_subset.append(imgs[indices[i, 0]])
         img_names_subset.append(img_names[indices[i, 0]])
@@ -69,7 +69,7 @@ def estimate_cameras(features, matches):
     b, cameras = estimator.apply(features, matches, None)
     if not b:
         print('Homography estimation failed')
-        exit()
+        raise SystemExit
     for cam in cameras:
         cam.R = cam.R.astype(np.float32)
     return cameras
@@ -93,7 +93,7 @@ def refine_cameras(features, matches, cameras, refine_mask):
     b, refined_cams = adjuster.apply(features, matches, cameras)
     if not b:
         print('Camera parameters adjusting failed')
-        exit()
+        raise SystemExit
     return refined_cams
 
 
@@ -233,10 +233,13 @@ if __name__ == '__main__':
     # img_names = [f'pano_{i}.jpg' for i in range(1, 4)]
     # img_names = ['left.png', 'right.png']
     # img_names = ['left2.png', 'right2.png']
-    img_names = ['wien_low1.jpg', 'wien_low2.jpg']
+    img_names = ['wien_low1.jpg', 'prague2.jpg']
     # img_names = ['prague1.jpg', 'prague2.jpg']
     imgs = [cv.imread(f'imgs/{name}') for name in img_names]
-    result = full_stitching_pipeline(imgs, img_names)
-    out_name = 'imgs_out/wien_low3.jpg'
-    cv.imwrite(out_name, result)
-    print('Stitched image saved as ' + out_name)
+    try:
+        result = full_stitching_pipeline(imgs, img_names)
+        out_name = 'imgs_out/wien_test.jpg'
+        cv.imwrite(out_name, result)
+        print('Stitched image saved as ' + out_name)
+    except SystemExit:
+        print('program execution stopped!')