Merge pull request #294 from Hakuyume/bltr-tlbr

bottom left, top right -> top left, bottom right

Author: yuyu2172

chainercv/datasets/voc/voc_detection_dataset.py

@@ -29,7 +29,7 @@ class VOCDetectionDataset(chainer.dataset.DatasetMixin):
     :math:`(R, 4)`, where :math:`R` is the number of bounding boxes in
     the image. The second axis represents attributes of the bounding box.
     They are :obj:`(y_min, x_min, y_max, x_max)`, where the
-    four attributes are coordinates of the bottom left and the top right
+    four attributes are coordinates of the top left and the bottom right
     vertices.
 
     The labels are packed into a one dimensional tensor of shape :math:`(R,)`.

chainercv/transforms/bbox/flip_bbox.py

@@ -5,8 +5,8 @@ def flip_bbox(bbox, size, y_flip=False, x_flip=False):
     tensor of shape :math:`(R, 4)`, where :math:`R` is the number of
     bounding boxes in the image. The second axis represents attributes of
     the bounding box. They are :obj:`(y_min, x_min, y_max, x_max)`,
-    where the four attributes are coordinates of the bottom left and the
-    top right vertices.
+    where the four attributes are coordinates of the top left and the
+    bottom right vertices.
 
     Args:
         bbox (~numpy.ndarray): An array whose shape is :math:`(R, 4)`.

chainercv/transforms/bbox/resize_bbox.py

@@ -5,8 +5,8 @@ def resize_bbox(bbox, in_size, out_size):
     tensor of shape :math:`(R, 4)`, where :math:`R` is the number of
     bounding boxes in the image. The second axis represents attributes of
     the bounding box. They are :obj:`(y_min, x_min, y_max, x_max)`,
-    where the four attributes are coordinates of the bottom left and the
-    top right vertices.
+    where the four attributes are coordinates of the top left and the
+    bottom right vertices.
 
     Args:
         bbox (~numpy.ndarray): An array whose shape is :math:`(R, 4)`.

chainercv/transforms/bbox/translate_bbox.py

@@ -10,8 +10,8 @@ def translate_bbox(bbox, y_offset=0, x_offset=0):
     tensor of shape :math:`(R, 4)`, where :math:`R` is the number of
     bounding boxes in the image. The second axis represents attributes of
     the bounding box. They are :obj:`(y_min, x_min, y_max, x_max)`,
-    where the four attributes are coordinates of the bottom left and the
-    top right vertices.
+    where the four attributes are coordinates of the top left and the
+    bottom right vertices.
 
     Args:
         bbox (~numpy.ndarray): Bounding boxes to be transformed. The shape is