Fix face detection failures for non-photorealistic images

When using --preprocess full with anime/illustrated images, face
detection fails at two points and crashes with unhelpful errors:

1. croper.py: `raise 'string'` was invalid Python 3 syntax and
   lm=None check didn't handle the full-mode case. Now returns the
   full image as crop/quad ([0,0,W,H]) so processing continues
   without a detected face.

2. extract_kp_videos_safe.py: `bboxes[0]` raises IndexError when
   detect_faces() returns an empty array. Added IndexError to the
   existing TypeError handler so it falls back to -1 keypoints,
   which preprocess.py already handles gracefully.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/face3d/extract_kp_videos_safe.py

@@ -89,10 +89,10 @@ def extract_keypoint(self, images, name=None, info=True):
                     else:
                         print(e)
                         break    
-                except TypeError:
+                except (TypeError, IndexError):
                     print('No face detected in this image')
                     shape = [68, 2]
-                    keypoints = -1. * np.ones(shape)                    
+                    keypoints = -1. * np.ones(shape)
                     break
             if name is not None:
                 np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1))

src/utils/croper.py

@@ -127,8 +127,16 @@ def crop(self, img_np_list, still=False, xsize=512):    # first frame for all vi
         img_np = img_np_list[0]
         lm = self.get_landmark(img_np)
 
-        if lm is None:
-            raise 'can not detect the landmark from source image'
+        # 顔未検出 + full モード時のフォールバック
+        if lm is None or len(lm) == 0:
+            if not still:   # still=False = full モード
+                H, W = img_np_list[0].shape[:2]
+                # 画像全体を crop/quad に設定（クロップなし）
+                # preprocess.py が lx, ly, rx, ry = quad と4スカラーで受け取るため
+                crop = [0, 0, W, H]
+                quad = [0, 0, W, H]   # [lx, ly, rx, ry]
+                return img_np_list, crop, quad
+            raise Exception('can not detect the landmark from source image')
         rsize, crop, quad = self.align_face(img=Image.fromarray(img_np), lm=lm, output_size=xsize)
         clx, cly, crx, cry = crop
         lx, ly, rx, ry = quad