| | |
| | | momentum=0.9 |
| | | decay=0.0005 |
| | | |
| | | learning_rate=0.01 |
| | | policy=sigmoid |
| | | gamma=.00002 |
| | | step=400000 |
| | | max_batches=800000 |
| | | learning_rate=0.1 |
| | | policy=poly |
| | | power=4 |
| | | max_batches=500000 |
| | | |
| | | [crop] |
| | | crop_height=224 |
| | |
| | | exposure=1 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=16 |
| | | size=3 |
| | | stride=1 |
| | |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=32 |
| | | size=3 |
| | | stride=1 |
| | |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=64 |
| | | size=3 |
| | | stride=1 |
| | |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=128 |
| | | size=3 |
| | | stride=1 |
| | |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=256 |
| | | size=3 |
| | | stride=1 |
| | |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=512 |
| | | size=3 |
| | | stride=1 |
| | |
| | | stride=2 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=1024 |
| | | size=3 |
| | | stride=1 |