Some cleaning and changing default argument from `boxlist_nms` (#429)

* Adding support to Caffe2 ResNeXt-152-32x8d-FPN-IN5k backbone for Mask R-CNN

* Clean up

* Fixing path_catalogs.py

* Back to old ROIAlign_cpu.cpp file

maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py

@@ -123,7 +123,7 @@ class PostProcessor(nn.Module):
             boxlist_for_class = BoxList(boxes_j, boxlist.size, mode="xyxy")
             boxlist_for_class.add_field("scores", scores_j)
             boxlist_for_class = boxlist_nms(
-                boxlist_for_class, self.nms, score_field="scores"
+                boxlist_for_class, self.nms
             )
             num_labels = len(boxlist_for_class)
             boxlist_for_class.add_field(

maskrcnn_benchmark/structures/boxlist_ops.py

@@ -6,7 +6,7 @@ from .bounding_box import BoxList
 from maskrcnn_benchmark.layers import nms as _box_nms
 
 
-def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field="score"):
+def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field="scores"):
     """
     Performs non-maximum suppression on a boxlist, with scores specified
     in a boxlist field via score_field.
@@ -15,7 +15,7 @@ def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field="score"):
         boxlist(BoxList)
         nms_thresh (float)
         max_proposals (int): if > 0, then only the top max_proposals are kept
-            after non-maxium suppression
+            after non-maximum suppression
         score_field (str)
     """
     if nms_thresh <= 0: