Clean code.

fluid/face_detction/image_util.py

@@ -75,11 +75,8 @@ def satisfy_sample_constraint(sampler, sample_bbox, bbox_labels):
     if sampler.min_jaccard_overlap == 0 and sampler.max_jaccard_overlap == 0:
         return True
     for i in range(len(bbox_labels)):
-        object_bbox = bbox(
-            bbox_labels[i][0],
-            bbox_labels[i][1],  # tangxu @ 2018-05-17
-            bbox_labels[i][2],
-            bbox_labels[i][3])
+        object_bbox = bbox(bbox_labels[i][0], bbox_labels[i][1],
+                           bbox_labels[i][2], bbox_labels[i][3])
         overlap = jaccard_overlap(sample_bbox, object_bbox)
         if sampler.min_jaccard_overlap != 0 and \
                 overlap < sampler.min_jaccard_overlap:

fluid/face_detction/pyramidbox.py

@@ -240,8 +240,7 @@ def permute_and_reshape(input, last_dim):
         self.prior_boxes = fluid.layers.concat(boxes)
         self.box_vars = fluid.layers.concat(vars)
 
-    def vgg_ssd(self, num_classes, image_shape):  # tangxu
-
+    def vgg_ssd(self, num_classes, image_shape):
         self.conv3_norm = self._l2_norm_scale(self.conv3)
         self.conv4_norm = self._l2_norm_scale(self.conv4)
         self.conv5_norm = self._l2_norm_scale(self.conv5)

fluid/face_detction/train.py

@@ -19,7 +19,7 @@
 add_arg('batch_size', int, 16, "Minibatch size.")
 add_arg('num_passes', int, 120, "Epoch number.")
 add_arg('use_gpu', bool, True, "Whether use GPU.")
-add_arg('use_pyramidbox', bool, False, "Whether use GPU.")
+add_arg('use_pyramidbox', bool, False, "Whether use PyramidBox model.")
 add_arg('dataset', str, 'WIDERFACE', "coco2014, coco2017, and pascalvoc.")
 add_arg('model_save_dir', str, 'model', "The path to save model.")
 add_arg('pretrained_model', str, './vgg_model/', "The init model path.")