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| [net] | |
| batch=256 | |
| subdivisions=64 | |
| width=1280 | |
| height=960 | |
| channels=3 | |
| momentum=0.9 | |
| decay=0.0005 | |
| angle=0 | |
| saturation = 1.5 | |
| exposure = 1.5 | |
| hue=.1 | |
| learning_rate=0.001 | |
| burn_in=500 | |
| max_batches = 10000 | |
| policy=steps | |
| steps=500,2000,4000,8000 | |
| scales=.5,.5,.5,.5 | |
| gaussian_noise=1 | |
| flip=1 | |
| ##sparse=1 : 2:4 structured sparsity | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=512 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| ################################## | |
| ### ASPPCSP ### | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| ### ASPP ### | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| dilation=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| dilation=3 | |
| activation=relu | |
| [route] | |
| layers=-4 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| dilation=5 | |
| activation=relu | |
| [route] | |
| layers=-1,-3,-5,-6 | |
| ### End ASPP ### | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -10,-1 | |
| # 44 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| ### End ASPPCSP ### | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [upsample] | |
| stride=2 | |
| [route] | |
| layers = 30 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| # 56 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [upsample] | |
| stride=2 | |
| [route] | |
| layers = 20 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| filters=128 | |
| activation=relu | |
| [route] | |
| layers = -1,67 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| filters=256 | |
| activation=relu | |
| [route] | |
| layers = -1,53 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers=-2 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| [route] | |
| layers = -1,-3,-5,-7 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| ############################# | |
| # ============ End of Neck ============ # | |
| # ============ Head ============ # | |
| # P3 | |
| [route] | |
| layers = 80 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=128 | |
| activation=relu | |
| [convolutional] | |
| ##sparse=1 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=45 | |
| #activation=linear | |
| activation=logistic | |
| [yolo] | |
| mask = 0,1,2 | |
| anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337 | |
| classes=10 | |
| num=9 | |
| jitter=.3 | |
| scale_x_y = 2.0 | |
| ignore_thresh = .5 | |
| truth_thresh = 1 | |
| #random=1 | |
| resize=1.5 | |
| new_coords=1 | |
| counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4 | |
| cls_normalizer=0.25 | |
| iou_normalizer=0.05 | |
| iou_loss=ciou | |
| # P4 | |
| [route] | |
| layers = 91 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=256 | |
| activation=relu | |
| [convolutional] | |
| ##sparse=1 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=45 | |
| #activation=linear | |
| activation=logistic | |
| [yolo] | |
| mask = 3,4,5 | |
| anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337 | |
| classes=10 | |
| num=9 | |
| jitter=.3 | |
| scale_x_y = 2.0 | |
| ignore_thresh = .5 | |
| truth_thresh = 1 | |
| resize=1.5 | |
| new_coords=1 | |
| counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4 | |
| cls_normalizer=0.25 | |
| iou_normalizer=0.05 | |
| iou_loss=ciou | |
| # P5 | |
| [route] | |
| layers = 102 | |
| [convolutional] | |
| #sparse=1 | |
| batch_normalize=1 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| filters=512 | |
| activation=relu | |
| [convolutional] | |
| ##sparse=1 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=45 | |
| #activation=linear | |
| activation=logistic | |
| [yolo] | |
| mask = 6,7,8 | |
| anchors = 7, 14, 17, 21, 11, 38, 31, 40, 21, 84, 57, 69, 87,130, 148,198, 215,337 | |
| classes=10 | |
| num=9 | |
| jitter=.3 | |
| scale_x_y = 2.0 | |
| ignore_thresh = .5 | |
| truth_thresh = 1 | |
| resize=1.5 | |
| new_coords=1 | |
| counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4 | |
| cls_normalizer=0.25 | |
| iou_normalizer=0.05 | |
| iou_loss=ciou | |