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yolov4-tiny.cfg
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| [net] | |
| # Testing | |
| #batch=1 | |
| #subdivisions=1 | |
| # Training | |
| batch=64 | |
| subdivisions=1 | |
| width=416 | |
| height=416 | |
| channels=3 | |
| momentum=0.9 | |
| decay=0.0005 | |
| angle=0 | |
| saturation = 1.5 | |
| exposure = 1.5 | |
| hue=.1 | |
| learning_rate=0.00261 | |
| burn_in=1000 | |
| max_batches = 6000 | |
| policy=steps | |
| steps=4800,5400 | |
| scales=.1,.1 | |
| #weights_reject_freq=1001 | |
| #ema_alpha=0.9998 | |
| #equidistant_point=1000 | |
| #num_sigmas_reject_badlabels=3 | |
| #badlabels_rejection_percentage=0.2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=2 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers=-1 | |
| groups=2 | |
| group_id=1 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=32 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers = -1,-2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers = -6,-1 | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers=-1 | |
| groups=2 | |
| group_id=1 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=64 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers = -1,-2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers = -6,-1 | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers=-1 | |
| groups=2 | |
| group_id=1 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers = -1,-2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [route] | |
| layers = -6,-1 | |
| [maxpool] | |
| size=2 | |
| stride=2 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| ################################## | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=512 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=18 | |
| activation=linear | |
| [yolo] | |
| mask = 3,4,5 | |
| anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 | |
| classes=1 | |
| num=6 | |
| jitter=.3 | |
| scale_x_y = 1.05 | |
| cls_normalizer=1.0 | |
| iou_normalizer=0.07 | |
| iou_loss=ciou | |
| ignore_thresh = .7 | |
| truth_thresh = 1 | |
| random=0 | |
| resize=1.5 | |
| nms_kind=greedynms | |
| beta_nms=0.6 | |
| #new_coords=1 | |
| #scale_x_y = 2.0 | |
| [route] | |
| layers = -4 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=128 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [upsample] | |
| stride=2 | |
| [route] | |
| layers = -1, 23 | |
| [convolutional] | |
| batch_normalize=1 | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=leaky | |
| [convolutional] | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| filters=18 | |
| activation=linear | |
| [yolo] | |
| mask = 1,2,3 | |
| anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 | |
| classes=1 | |
| num=6 | |
| jitter=.3 | |
| scale_x_y = 1.05 | |
| cls_normalizer=1.0 | |
| iou_normalizer=0.07 | |
| iou_loss=ciou | |
| ignore_thresh = .7 | |
| truth_thresh = 1 | |
| random=0 | |
| resize=1.5 | |
| nms_kind=greedynms | |
| beta_nms=0.6 | |
| #new_coords=1 | |
| #scale_x_y = 2.0 |
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