diff --git a/models/yolov3-spp.yaml b/models/yolov3-spp.yaml index b45e3df..3dad009 100644 --- a/models/yolov3-spp.yaml +++ b/models/yolov3-spp.yaml @@ -1,7 +1,7 @@ # parameters nc: 80 # number of classes -depth_multiple: 1.0 # expand model depth -width_multiple: 1.0 # expand layer channels +depth_multiple: 1.0 # model depth multiple +width_multiple: 1.0 # layer channel multiple # anchors anchors: diff --git a/models/yolov5l.yaml b/models/yolov5l.yaml index a3178f4..f270fdc 100644 --- a/models/yolov5l.yaml +++ b/models/yolov5l.yaml @@ -27,19 +27,19 @@ backbone: # yolov5 head head: [[-1, 3, BottleneckCSP, [1024, False]], # 11 - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 12 (P5/32-large) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 12 (P5/32-large) [-2, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 6], 1, Concat, [1]], # cat backbone P4 [-1, 1, Conv, [512, 1, 1]], [-1, 3, BottleneckCSP, [512, False]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 17 (P4/16-medium) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 17 (P4/16-medium) [-2, 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]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 22 (P3/8-small) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 22 (P3/8-small) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) ] diff --git a/models/yolov5m.yaml b/models/yolov5m.yaml index a1ed940..8498004 100644 --- a/models/yolov5m.yaml +++ b/models/yolov5m.yaml @@ -27,19 +27,19 @@ backbone: # yolov5 head head: [[-1, 3, BottleneckCSP, [1024, False]], # 11 - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 12 (P5/32-large) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 12 (P5/32-large) [-2, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 6], 1, Concat, [1]], # cat backbone P4 [-1, 1, Conv, [512, 1, 1]], [-1, 3, BottleneckCSP, [512, False]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 17 (P4/16-medium) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 17 (P4/16-medium) [-2, 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]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 22 (P3/8-small) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 22 (P3/8-small) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) ] diff --git a/models/yolov5s.yaml b/models/yolov5s.yaml index 277f734..482d1dd 100644 --- a/models/yolov5s.yaml +++ b/models/yolov5s.yaml @@ -27,19 +27,19 @@ backbone: # yolov5 head head: [[-1, 3, BottleneckCSP, [1024, False]], # 11 - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 12 (P5/32-large) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 12 (P5/32-large) [-2, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 6], 1, Concat, [1]], # cat backbone P4 [-1, 1, Conv, [512, 1, 1]], [-1, 3, BottleneckCSP, [512, False]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 17 (P4/16-medium) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 17 (P4/16-medium) [-2, 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]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 22 (P3/8-small) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 22 (P3/8-small) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) ] diff --git a/models/yolov5x.yaml b/models/yolov5x.yaml index 3122d6f..47658e8 100644 --- a/models/yolov5x.yaml +++ b/models/yolov5x.yaml @@ -27,19 +27,19 @@ backbone: # yolov5 head head: [[-1, 3, BottleneckCSP, [1024, False]], # 11 - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 12 (P5/32-large) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 12 (P5/32-large) [-2, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 6], 1, Concat, [1]], # cat backbone P4 [-1, 1, Conv, [512, 1, 1]], [-1, 3, BottleneckCSP, [512, False]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 17 (P4/16-medium) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 17 (P4/16-medium) [-2, 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]], - [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1, 0]], # 22 (P3/8-small) + [-1, 1, nn.Conv2d, [na * (nc + 5), 1, 1]], # 22 (P3/8-small) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) ]