Ankle/yolov5_birdproject
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model.yaml updates

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Glenn Jocher committed 2020-06-12 15:41:46 -07:00
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commit 4ba47b1b1b
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models/yolov3-spp.yaml
+2 -2
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@@ -1,7 +1,7 @@
# parameters # parameters
nc: 80 # number of classes nc: 80 # number of classes
depth_multiple: 1.0 # expand model depth depth_multiple: 1.0 # model depth multiple
width_multiple: 1.0 # expand layer channels width_multiple: 1.0 # layer channel multiple
# anchors # anchors
anchors: anchors:
models/yolov5l.yaml
+3 -3
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@@ -27,19 +27,19 @@ backbone:
# yolov5 head # yolov5 head
head: head:
[[-1, 3, BottleneckCSP, [1024, False]], # 11 [[-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 6], 1, Concat, [1]], # cat backbone P4 [[-1, 6], 1, Concat, [1]], # cat backbone P4
[-1, 1, Conv, [512, 1, 1]], [-1, 1, Conv, [512, 1, 1]],
[-1, 3, BottleneckCSP, [512, False]], [-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 4], 1, Concat, [1]], # cat backbone P3 [[-1, 4], 1, Concat, [1]], # cat backbone P3
[-1, 1, Conv, [256, 1, 1]], [-1, 1, Conv, [256, 1, 1]],
[-1, 3, BottleneckCSP, [256, False]], [-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) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
] ]
models/yolov5m.yaml
+3 -3
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@@ -27,19 +27,19 @@ backbone:
# yolov5 head # yolov5 head
head: head:
[[-1, 3, BottleneckCSP, [1024, False]], # 11 [[-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 6], 1, Concat, [1]], # cat backbone P4 [[-1, 6], 1, Concat, [1]], # cat backbone P4
[-1, 1, Conv, [512, 1, 1]], [-1, 1, Conv, [512, 1, 1]],
[-1, 3, BottleneckCSP, [512, False]], [-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 4], 1, Concat, [1]], # cat backbone P3 [[-1, 4], 1, Concat, [1]], # cat backbone P3
[-1, 1, Conv, [256, 1, 1]], [-1, 1, Conv, [256, 1, 1]],
[-1, 3, BottleneckCSP, [256, False]], [-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) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
] ]
models/yolov5s.yaml
+3 -3
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@@ -27,19 +27,19 @@ backbone:
# yolov5 head # yolov5 head
head: head:
[[-1, 3, BottleneckCSP, [1024, False]], # 11 [[-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 6], 1, Concat, [1]], # cat backbone P4 [[-1, 6], 1, Concat, [1]], # cat backbone P4
[-1, 1, Conv, [512, 1, 1]], [-1, 1, Conv, [512, 1, 1]],
[-1, 3, BottleneckCSP, [512, False]], [-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 4], 1, Concat, [1]], # cat backbone P3 [[-1, 4], 1, Concat, [1]], # cat backbone P3
[-1, 1, Conv, [256, 1, 1]], [-1, 1, Conv, [256, 1, 1]],
[-1, 3, BottleneckCSP, [256, False]], [-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) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
] ]
models/yolov5x.yaml
+3 -3
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@@ -27,19 +27,19 @@ backbone:
# yolov5 head # yolov5 head
head: head:
[[-1, 3, BottleneckCSP, [1024, False]], # 11 [[-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 6], 1, Concat, [1]], # cat backbone P4 [[-1, 6], 1, Concat, [1]], # cat backbone P4
[-1, 1, Conv, [512, 1, 1]], [-1, 1, Conv, [512, 1, 1]],
[-1, 3, BottleneckCSP, [512, False]], [-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']], [-2, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 4], 1, Concat, [1]], # cat backbone P3 [[-1, 4], 1, Concat, [1]], # cat backbone P3
[-1, 1, Conv, [256, 1, 1]], [-1, 1, Conv, [256, 1, 1]],
[-1, 3, BottleneckCSP, [256, False]], [-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) [[], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
] ]