add option to bypass face detection step

fawkes/protection.py

@@ -84,7 +84,7 @@ class Fawkes(object):
         return th, max_step, lr
 
     def run_protection(self, image_paths, mode='min', th=0.04, sd=1e9, lr=10, max_step=500, batch_size=1, format='png',
-                       separate_target=True, debug=False):
+                       separate_target=True, debug=False, no_align=False):
         if mode == 'custom':
             pass
         else:
@@ -100,9 +100,9 @@ class Fawkes(object):
             return 3
 
         with graph.as_default():
-            faces = Faces(image_paths, loaded_images, self.aligner, verbose=1)
+            faces = Faces(image_paths, loaded_images, self.aligner, verbose=1, no_align=no_align)
-
             original_images = faces.cropped_faces
+
             if len(original_images) == 0:
                 print("No face detected. ")
                 return 2
@@ -184,12 +184,14 @@ def main(*argv):
     parser.add_argument('--max-step', help='only relevant with mode=custom, number of steps for optimization', type=int,
                         default=1000)
     parser.add_argument('--sd', type=int, help='only relevant with mode=custom, penalty number, read more in the paper',
-                        default=1e6)
+                        default=1e9)
     parser.add_argument('--lr', type=float, help='only relevant with mode=custom, learning rate', default=2)
 
     parser.add_argument('--batch-size', help="number of images to run optimization together", type=int, default=1)
     parser.add_argument('--separate_target', help="whether select separate targets for each faces in the directory",
                         action='store_true')
+    parser.add_argument('--no-align', help="whether to detect and crop faces",
+                        action='store_true')
     parser.add_argument('--debug', help="turn on debug and copy/paste the stdout when reporting an issue on github",
                         action='store_true')
     parser.add_argument('--format', type=str,
@@ -209,7 +211,7 @@ def main(*argv):
     protector.run_protection(image_paths, mode=args.mode, th=args.th, sd=args.sd, lr=args.lr,
                              max_step=args.max_step,
                              batch_size=args.batch_size, format=args.format,
-                             separate_target=args.separate_target, debug=args.debug)
+                             separate_target=args.separate_target, debug=args.debug, no_align=args.no_align)
 
 
 if __name__ == '__main__':

fawkes/utils.py

@@ -120,9 +120,11 @@ def filter_image_paths(image_paths):
 
 
 class Faces(object):
-    def __init__(self, image_paths, loaded_images, aligner, verbose=1, eval_local=False, preprocessing=True):
+    def __init__(self, image_paths, loaded_images, aligner, verbose=1, eval_local=False, preprocessing=True,
+                 no_align=False):
         self.image_paths = image_paths
         self.verbose = verbose
+        self.no_align = no_align
         self.aligner = aligner
         self.org_faces = []
         self.cropped_faces = []
@@ -132,25 +134,27 @@ class Faces(object):
         for i in range(0, len(loaded_images)):
             cur_img = loaded_images[i]
             p = image_paths[i]
-
             self.org_faces.append(cur_img)
 
             if eval_local:
                 margin = 0
             else:
                 margin = 0.7
-            align_img = align(cur_img, self.aligner, margin=margin)
 
+            if not no_align:
+                align_img = align(cur_img, self.aligner, margin=margin)
                 if align_img is None:
                     print("Find 0 face(s)".format(p.split("/")[-1]))
                     continue
 
                 cur_faces = align_img[0]
+            else:
+                cur_faces = [cur_img]
 
             cur_shapes = [f.shape[:-1] for f in cur_faces]
 
             cur_faces_square = []
-            if verbose:
+            if verbose and not no_align:
                 print("Find {} face(s) in {}".format(len(cur_faces), p.split("/")[-1]))
             if eval_local:
                 cur_faces = cur_faces[:1]
@@ -161,13 +165,19 @@ class Faces(object):
                 else:
                     long_size = max([img.shape[1], img.shape[0]])
                     base = np.zeros((long_size, long_size, 3))
+                    # import pdb
+                    # pdb.set_trace()
+
                     base[0:img.shape[0], 0:img.shape[1], :] = img
                 cur_faces_square.append(base)
-            cur_index = align_img[1]
+
             cur_faces_square = [resize(f, (224, 224)) for f in cur_faces_square]
+            self.cropped_faces.extend(cur_faces_square)
+
+            if not self.no_align:
+                cur_index = align_img[1]
 
                 self.cropped_faces_shape.extend(cur_shapes)
-            self.cropped_faces.extend(cur_faces_square)
                 self.cropped_index.extend(cur_index)
                 self.callback_idx.extend([i] * len(cur_faces_square))
 
@@ -186,6 +196,8 @@ class Faces(object):
         return self.cropped_faces
 
     def merge_faces(self, protected_images, original_images):
+        if self.no_align:
+            return np.clip(protected_images, 0.0, 255.0)
 
         self.cloaked_faces = np.copy(self.org_faces)
 
@@ -520,6 +532,7 @@ def select_target_label(imgs, feature_extractors_ls, feature_extractors_names, m
 https://github.com/tensorflow/tensorflow/blob/v2.3.0/tensorflow/python/keras/utils/data_utils.py#L168-L297
 """
 
+
 def get_file(fname,
              origin,
              untar=False,