| New file |
| | |
| | | [net] |
| | | batch=128 |
| | | subdivisions=1 |
| | | height=224 |
| | | width=224 |
| | | channels=3 |
| | | momentum=0.9 |
| | | decay=0.0005 |
| | | max_crop=320 |
| | | |
| | | learning_rate=0.1 |
| | | policy=poly |
| | | power=4 |
| | | max_batches=1600000 |
| | | |
| | | angle=7 |
| | | hue=.1 |
| | | saturation=.75 |
| | | exposure=.75 |
| | | aspect=.75 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=16 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [maxpool] |
| | | size=2 |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=32 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [maxpool] |
| | | size=2 |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=16 |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=128 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=16 |
| | | 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=32 |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=256 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=32 |
| | | 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=64 |
| | | 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=64 |
| | | 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=128 |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | filters=1000 |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=linear |
| | | |
| | | [avgpool] |
| | | |
| | | [softmax] |
| | | groups=1 |
| | | |
| | | [cost] |
| | | type=sse |
| | | |