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Sleeping
| [net] | |
| # Testing | |
| batch=1 | |
| subdivisions=1 | |
| # Training | |
| # batch=64 | |
| # subdivisions=8 | |
| batch=1 | |
| subdivisions=1 | |
| height=544 | |
| width=544 | |
| channels=3 | |
| momentum=0.9 | |
| decay=0.0005 | |
| learning_rate=0.001 | |
| burn_in=1000 | |
| max_batches = 500200 | |
| policy=steps | |
| steps=400000,450000 | |
| scales=.1,.1 | |
| hue=.1 | |
| saturation=.75 | |
| exposure=.75 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=1024 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=1024 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=1024 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| filters=28269 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [region] | |
| anchors = 0.77871, 1.14074, 3.00525, 4.31277, 9.22725, 9.61974 | |
| bias_match=1 | |
| classes=9418 | |
| coords=4 | |
| num=3 | |
| softmax=1 | |
| jitter=.2 | |
| rescore=1 | |
| object_scale=5 | |
| noobject_scale=1 | |
| class_scale=1 | |
| coord_scale=1 | |
| thresh = .6 | |
| absolute=1 | |
| random=1 | |
| tree=data/9k.tree | |
| map = data/coco9k.map | |