| | |
| | | [net] |
| | | batch=128 |
| | | subdivisions=4 |
| | | subdivisions=8 |
| | | height=256 |
| | | width=256 |
| | | channels=3 |
| | | momentum=0.9 |
| | | decay=0.0005 |
| | | decay=0.0001 |
| | | |
| | | learning_rate=0.01 |
| | | learning_rate=0.05 |
| | | policy=poly |
| | | power=4 |
| | | max_batches=500000 |
| | | |
| | | |
| | | |
| | | [crop] |
| | | crop_height=224 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [route] |
| | | layers=-4 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=linear |
| | | filters=256 |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | from = -3 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | |
| | | ##### Conv 3_x ##### |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [route] |
| | | layers=-4 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | size=1 |
| | | stride=2 |
| | | pad=1 |
| | | activation=linear |
| | | filters=512 |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | from = -3 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | |
| | | ##### Conv 4_x ##### |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [route] |
| | | layers=-4 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | size=1 |
| | | stride=2 |
| | | pad=1 |
| | | activation=linear |
| | | filters=1024 |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | from = -3 |
| | | activation=leaky |
| | | |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | |
| | | ##### Conv 5_x ##### |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | |
| | | [route] |
| | | layers=-4 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | size=1 |
| | | stride=2 |
| | | pad=1 |
| | | activation=linear |
| | | filters=2048 |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | from = -3 |
| | | activation=leaky |
| | | |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | activation=leaky |
| | | activation=linear |
| | | |
| | | [shortcut] |
| | | from = -4 |
| | | activation=leaky |
| | | |
| | | [avgpool] |
| | | |