| | |
| | | [net] |
| | | batch=64 |
| | | subdivisions=8 |
| | | # Testing |
| | | batch=1 |
| | | subdivisions=1 |
| | | # Training |
| | | # batch=64 |
| | | # subdivisions=8 |
| | | height=416 |
| | | width=416 |
| | | channels=3 |
| | |
| | | exposure = 1.5 |
| | | hue=.1 |
| | | |
| | | learning_rate=0.0001 |
| | | max_batches = 45000 |
| | | learning_rate=0.001 |
| | | burn_in=1000 |
| | | max_batches = 80200 |
| | | policy=steps |
| | | steps=100,25000,35000 |
| | | scales=10,.1,.1 |
| | | steps=40000,60000 |
| | | scales=.1,.1 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | [route] |
| | | layers=-9 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | | size=1 |
| | | stride=1 |
| | | pad=1 |
| | | filters=64 |
| | | activation=leaky |
| | | |
| | | [reorg] |
| | | stride=2 |
| | | |
| | | [route] |
| | | layers=-1,-3 |
| | | layers=-1,-4 |
| | | |
| | | [convolutional] |
| | | batch_normalize=1 |
| | |
| | | filters=125 |
| | | activation=linear |
| | | |
| | | |
| | | [region] |
| | | anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 |
| | | anchors = 1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071 |
| | | bias_match=1 |
| | | classes=20 |
| | | coords=4 |
| | | num=5 |
| | | softmax=1 |
| | | jitter=.2 |
| | | jitter=.3 |
| | | rescore=1 |
| | | |
| | | object_scale=5 |
| | |
| | | |
| | | absolute=1 |
| | | thresh = .6 |
| | | random=0 |
| | | random=1 |