| | |
| | | [net] |
| | | # Training |
| | | batch=64 |
| | | subdivisions=16 |
| | | |
| | | # Testing |
| | | #batch=1 |
| | | #subdivisions=1 |
| | | |
| | | subdivisions=32 |
| | | height=416 |
| | | width=416 |
| | | #max_crop=448 |
| | | channels=3 |
| | | momentum=0.9 |
| | | decay=0.0005 |
| | | angle=0 |
| | | saturation = 1.5 |
| | | exposure = 1.5 |
| | | hue=.1 |
| | | |
| | | learning_rate=0.0001 |
| | | max_batches = 45000 |
| | |
| | | steps=100,25000,35000 |
| | | scales=10,.1,.1 |
| | | |
| | | angle=7 |
| | | hue=.1 |
| | | saturation=.75 |
| | | exposure=.75 |
| | | aspect=.75 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | filters=64 |
| | |
| | | [shortcut] |
| | | from=-4 |
| | | activation=leaky |
| | | stopbackward=1 |
| | | #stopbackward=1 |
| | | |
| | | |
| | | |
| | |
| | | |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | filters=1024 |
| | | activation=leaky |
| | | |
| | | |
| | | |
| | | |
| | | [convolutional] |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | |
| | | |
| | | absolute=1 |
| | | thresh = .6 |
| | | random=0 |
| | | random=1 |