Spaces:
Runtime error
Runtime error
| [net] | |
| batch=64 | |
| subdivisions=8 | |
| width=1280 | |
| height=1280 | |
| channels=3 | |
| momentum=0.949 | |
| decay=0.0005 | |
| angle=0 | |
| saturation = 1.5 | |
| exposure = 1.5 | |
| hue=.1 | |
| learning_rate=0.00261 | |
| burn_in=1000 | |
| max_batches = 500500 | |
| policy=steps | |
| steps=400000,450000 | |
| scales=.1,.1 | |
| mosaic=1 | |
| # ============ Backbone ============ # | |
| # Stem | |
| # P1 | |
| # Downsample | |
| # 0 | |
| [reorg] | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # P2 | |
| # Downsample | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| # Transition first | |
| # | |
| #[convolutional] | |
| #batch_normalize=1 | |
| #filters=64 | |
| #size=1 | |
| #stride=1 | |
| #pad=1 | |
| #activation=silu | |
| # Merge [-1, -(3k+3)] | |
| [route] | |
| layers = -1,-12 | |
| # Transition last | |
| # 16 (previous+6+3k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # P3 | |
| # Downsample | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| # Transition first | |
| # | |
| #[convolutional] | |
| #batch_normalize=1 | |
| #filters=128 | |
| #size=1 | |
| #stride=1 | |
| #pad=1 | |
| #activation=silu | |
| # Merge [-1, -(3k+3)] | |
| [route] | |
| layers = -1,-24 | |
| # Transition last | |
| # 43 (previous+6+3k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # P4 | |
| # Downsample | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| # Transition first | |
| # | |
| #[convolutional] | |
| #batch_normalize=1 | |
| #filters=256 | |
| #size=1 | |
| #stride=1 | |
| #pad=1 | |
| #activation=silu | |
| # Merge [-1, -(3k+3)] | |
| [route] | |
| layers = -1,-24 | |
| # Transition last | |
| # 70 (previous+6+3k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # P5 | |
| # Downsample | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=768 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| # Transition first | |
| # | |
| #[convolutional] | |
| #batch_normalize=1 | |
| #filters=384 | |
| #size=1 | |
| #stride=1 | |
| #pad=1 | |
| #activation=silu | |
| # Merge [-1, -(3k+3)] | |
| [route] | |
| layers = -1,-12 | |
| # Transition last | |
| # 85 (previous+6+3k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=768 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # P6 | |
| # Downsample | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=1024 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [shortcut] | |
| from=-3 | |
| activation=linear | |
| # Transition first | |
| # | |
| #[convolutional] | |
| #batch_normalize=1 | |
| #filters=512 | |
| #size=1 | |
| #stride=1 | |
| #pad=1 | |
| #activation=silu | |
| # Merge [-1, -(3k+3)] | |
| [route] | |
| layers = -1,-12 | |
| # Transition last | |
| # 100 (previous+6+3k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=1024 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # ============ End of Backbone ============ # | |
| # ============ Neck ============ # | |
| # CSPSPP | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| ### SPP ### | |
| [maxpool] | |
| stride=1 | |
| size=5 | |
| [route] | |
| layers=-2 | |
| [maxpool] | |
| stride=1 | |
| size=9 | |
| [route] | |
| layers=-4 | |
| [maxpool] | |
| stride=1 | |
| size=13 | |
| [route] | |
| layers=-1,-3,-5,-6 | |
| ### End SPP ### | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [route] | |
| layers = -1, -13 | |
| # 115 (previous+6+5+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # End of CSPSPP | |
| # FPN-5 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [upsample] | |
| stride=2 | |
| [route] | |
| layers = 85 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -1, -3 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| # Plain Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| # Merge [-1, -(2k+2)] | |
| [route] | |
| layers = -1, -8 | |
| # Transition last | |
| # 131 (previous+6+4+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # FPN-4 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [upsample] | |
| stride=2 | |
| [route] | |
| layers = 70 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -1, -3 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| # Plain Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| # Merge [-1, -(2k+2)] | |
| [route] | |
| layers = -1, -8 | |
| # Transition last | |
| # 147 (previous+6+4+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # FPN-3 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [upsample] | |
| stride=2 | |
| [route] | |
| layers = 43 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -1, -3 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| # Plain Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=128 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=128 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=128 | |
| activation=silu | |
| # Merge [-1, -(2k+2)] | |
| [route] | |
| layers = -1, -8 | |
| # Transition last | |
| # 163 (previous+6+4+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # PAN-4 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [route] | |
| layers = -1, 147 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| # Plain Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [route] | |
| layers = -1,-8 | |
| # Transition last | |
| # 176 (previous+3+4+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # PAN-5 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| [route] | |
| layers = -1, 131 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| # Plain Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=384 | |
| activation=silu | |
| [route] | |
| layers = -1,-8 | |
| # Transition last | |
| # 189 (previous+3+4+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=384 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # PAN-6 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [route] | |
| layers = -1, 115 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # Split | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [route] | |
| layers = -2 | |
| # Plain Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [route] | |
| layers = -1,-8 | |
| # Transition last | |
| # 202 (previous+3+4+2k) | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=silu | |
| # ============ End of Neck ============ # | |
| # 203 | |
| [implicit_add] | |
| filters=256 | |
| # 204 | |
| [implicit_add] | |
| filters=512 | |
| # 205 | |
| [implicit_add] | |
| filters=768 | |
| # 206 | |
| [implicit_add] | |
| filters=1024 | |
| # 207 | |
| [implicit_mul] | |
| filters=255 | |
| # 208 | |
| [implicit_mul] | |
| filters=255 | |
| # 209 | |
| [implicit_mul] | |
| filters=255 | |
| # 210 | |
| [implicit_mul] | |
| filters=255 | |
| # ============ Head ============ # | |
| # YOLO-3 | |
| [route] | |
| layers = 163 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=silu | |
| [shift_channels] | |
| from=203 | |
| [convolutional] | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=255 | |
| activation=linear | |
| [control_channels] | |
| from=207 | |
| [yolo] | |
| mask = 0,1,2 | |
| anchors = 19,27, 44,40, 38,94, 96,68, 86,152, 180,137, 140,301, 303,264, 238,542, 436,615, 739,380, 925,792 | |
| classes=80 | |
| num=12 | |
| jitter=.3 | |
| ignore_thresh = .7 | |
| truth_thresh = 1 | |
| random=1 | |
| scale_x_y = 1.05 | |
| iou_thresh=0.213 | |
| cls_normalizer=1.0 | |
| iou_normalizer=0.07 | |
| iou_loss=ciou | |
| nms_kind=greedynms | |
| beta_nms=0.6 | |
| # YOLO-4 | |
| [route] | |
| layers = 176 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=silu | |
| [shift_channels] | |
| from=204 | |
| [convolutional] | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=255 | |
| activation=linear | |
| [control_channels] | |
| from=208 | |
| [yolo] | |
| mask = 3,4,5 | |
| anchors = 19,27, 44,40, 38,94, 96,68, 86,152, 180,137, 140,301, 303,264, 238,542, 436,615, 739,380, 925,792 | |
| classes=80 | |
| num=12 | |
| jitter=.3 | |
| ignore_thresh = .7 | |
| truth_thresh = 1 | |
| random=1 | |
| scale_x_y = 1.05 | |
| iou_thresh=0.213 | |
| cls_normalizer=1.0 | |
| iou_normalizer=0.07 | |
| iou_loss=ciou | |
| nms_kind=greedynms | |
| beta_nms=0.6 | |
| # YOLO-5 | |
| [route] | |
| layers = 189 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=768 | |
| activation=silu | |
| [shift_channels] | |
| from=205 | |
| [convolutional] | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=255 | |
| activation=linear | |
| [control_channels] | |
| from=209 | |
| [yolo] | |
| mask = 6,7,8 | |
| anchors = 19,27, 44,40, 38,94, 96,68, 86,152, 180,137, 140,301, 303,264, 238,542, 436,615, 739,380, 925,792 | |
| classes=80 | |
| num=12 | |
| jitter=.3 | |
| ignore_thresh = .7 | |
| truth_thresh = 1 | |
| random=1 | |
| scale_x_y = 1.05 | |
| iou_thresh=0.213 | |
| cls_normalizer=1.0 | |
| iou_normalizer=0.07 | |
| iou_loss=ciou | |
| nms_kind=greedynms | |
| beta_nms=0.6 | |
| # YOLO-6 | |
| [route] | |
| layers = 202 | |
| [convolutional] | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=1024 | |
| activation=silu | |
| [shift_channels] | |
| from=206 | |
| [convolutional] | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=255 | |
| activation=linear | |
| [control_channels] | |
| from=210 | |
| [yolo] | |
| mask = 9,10,11 | |
| anchors = 19,27, 44,40, 38,94, 96,68, 86,152, 180,137, 140,301, 303,264, 238,542, 436,615, 739,380, 925,792 | |
| classes=80 | |
| num=12 | |
| jitter=.3 | |
| ignore_thresh = .7 | |
| truth_thresh = 1 | |
| random=1 | |
| scale_x_y = 1.05 | |
| iou_thresh=0.213 | |
| cls_normalizer=1.0 | |
| iou_normalizer=0.07 | |
| iou_loss=ciou | |
| nms_kind=greedynms | |
| beta_nms=0.6 | |
| # ============ End of Head ============ # | |