| | |
| | | [net] |
| | | batch=128 |
| | | subdivisions=128 |
| | | height=256 |
| | | width=256 |
| | | subdivisions=1 |
| | | height=227 |
| | | width=227 |
| | | channels=3 |
| | | learning_rate=0.01 |
| | | momentum=0.9 |
| | | decay=0.0005 |
| | | max_crop=256 |
| | | |
| | | [crop] |
| | | crop_height=224 |
| | | crop_width=224 |
| | | flip=1 |
| | | angle=0 |
| | | saturation=1 |
| | | exposure=1 |
| | | learning_rate=0.01 |
| | | policy=poly |
| | | power=4 |
| | | max_batches=800000 |
| | | |
| | | angle=7 |
| | | hue = .1 |
| | | saturation=.75 |
| | | exposure=.75 |
| | | aspect=.75 |
| | | |
| | | [convolutional] |
| | | filters=64 |
| | | filters=96 |
| | | size=11 |
| | | stride=4 |
| | | pad=0 |
| | | activation=ramp |
| | | activation=relu |
| | | |
| | | [maxpool] |
| | | size=3 |
| | | stride=2 |
| | | padding=0 |
| | | |
| | | [convolutional] |
| | | filters=192 |
| | | filters=256 |
| | | size=5 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | activation=relu |
| | | |
| | | [maxpool] |
| | | size=3 |
| | | stride=2 |
| | | padding=0 |
| | | |
| | | [convolutional] |
| | | filters=384 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | activation=relu |
| | | |
| | | [convolutional] |
| | | filters=384 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=relu |
| | | |
| | | [convolutional] |
| | | filters=256 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | |
| | | [convolutional] |
| | | filters=256 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | activation=relu |
| | | |
| | | [maxpool] |
| | | size=3 |
| | | stride=2 |
| | | padding=0 |
| | | |
| | | [connected] |
| | | output=4096 |
| | | activation=ramp |
| | | activation=relu |
| | | |
| | | [dropout] |
| | | probability=.5 |
| | | |
| | | [connected] |
| | | output=4096 |
| | | activation=ramp |
| | | activation=relu |
| | | |
| | | [dropout] |
| | | probability=.5 |
| | | |
| | | [connected] |
| | | output=1000 |
| | | activation=ramp |
| | | activation=linear |
| | | |
| | | [softmax] |
| | | groups=1 |