Update yolov5-bifpn.yaml (#4208)

models/hub/yolov5-bifpn.yaml

@@ -12,29 +12,35 @@ backbone:
   # [from, number, module, args]
   [[-1, 1, Focus, [64, 3]],  # 0-P1/2
    [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
-    [ -1, 3, Bottleneck, [ 128 ] ],
+   [-1, 3, C3, [128]],
    [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
-    [ -1, 9, BottleneckCSP, [ 256 ] ],
+   [-1, 9, C3, [256]],
    [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
-    [ -1, 9, BottleneckCSP, [ 512 ] ],
+   [-1, 9, C3, [512]]
    [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
    [-1, 1, SPP, [1024, [5, 9, 13]]],
-    [ -1, 6, BottleneckCSP, [ 1024 ] ],  # 9
+   [-1, 3, C3, [1024, False]],  # 9
   ]
 
 # YOLOv5 BiFPN head
 head:
-  [ [ -1, 3, BottleneckCSP, [ 1024, False ] ],  # 10 (P5/32-large)
-
+  [[-1, 1, Conv, [512, 1, 1]],
    [-1, 1, nn.Upsample, [None, 2, 'nearest']],
-    [ [ -1, 20, 6 ], 1, Concat, [ 1 ] ],  # cat P4
-    [ -1, 1, Conv, [ 512, 1, 1 ] ],
-    [ -1, 3, BottleneckCSP, [ 512, False ] ],  # 14 (P4/16-medium)
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P4
+   [-1, 3, C3, [512, False]],  # 13
 
+   [-1, 1, Conv, [256, 1, 1]],
    [-1, 1, nn.Upsample, [None, 2, 'nearest']],
    [[-1, 4], 1, Concat, [1]],  # cat backbone P3
-    [ -1, 1, Conv, [ 256, 1, 1 ] ],
-    [ -1, 3, BottleneckCSP, [ 256, False ] ],  # 18 (P3/8-small)
+   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)
 
-    [ [ 18, 14, 10 ], 1, Detect, [ nc, anchors ] ],  # Detect(P3, P4, P5)
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 14, 6], 1, Concat, [1]],  # cat P4
+   [-1, 3, C3, [512, False]],  # 20 (P4/16-medium)
+
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 10], 1, Concat, [1]],  # cat head P5
+   [-1, 3, C3, [1024, False]],  # 23 (P5/32-large)
+
+   [[17, 20, 23], 1, Detect, [nc, anchors]],  # Detect(P3, P4, P5)
   ]