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| [net] | |
| # Training | |
| # batch=128 | |
| # subdivisions=1 | |
| # Testing | |
| batch=1 | |
| subdivisions=1 | |
| height=256 | |
| width=256 | |
| channels=3 | |
| min_crop=128 | |
| max_crop=448 | |
| burn_in=1000 | |
| learning_rate=0.1 | |
| policy=poly | |
| power=4 | |
| max_batches=800000 | |
| momentum=0.9 | |
| decay=0.0005 | |
| angle=7 | |
| hue=.1 | |
| saturation=.75 | |
| exposure=.75 | |
| aspect=.75 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=7 | |
| stride=2 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Strided Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Strided Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Strided Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| # Residual Block | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [shortcut] | |
| activation=leaky | |
| from=-3 | |
| [avgpool] | |
| [convolutional] | |
| filters=1000 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [softmax] | |
| groups=1 | |