[net] # Testing #batch=1 #subdivisions=1 # Training batch=64 subdivisions=8 width=512 height=512 channels=3 momentum=0.949 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1 learning_rate=0.001 burn_in=1000 max_batches = 500500 policy=steps steps=400000,450000 scales=.1,.1 mosaic=1 letter_box=1 ema_alpha=0.9998 #optimized_memory=1 #23:104x104 54:52x52 85:26x26 104:13x13 for 416 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=64 size=3 stride=2 pad=1 activation=mish #[convolutional] #batch_normalize=1 #filters=64 #size=1 #stride=1 #pad=1 #activation=mish #[route] #layers = -2 #[convolutional] #batch_normalize=1 #filters=64 #size=1 #stride=1 #pad=1 #activation=mish [convolutional] batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear #[convolutional] #batch_normalize=1 #filters=64 #size=1 #stride=1 #pad=1 #activation=mish #[route] #layers = -1,-7 #[convolutional] #batch_normalize=1 #filters=64 #size=1 #stride=1 #pad=1 #activation=mish # Downsample [convolutional] batch_normalize=1 filters=128 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-10 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=256 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-28 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=512 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-28 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=1024 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-16 [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=mish ########################## [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish ### SPP ### [maxpool] stride=1 size=5 [route] layers=-2 [maxpool] stride=1 size=9 [route] layers=-4 [maxpool] stride=1 size=13 [route] layers=-1,-3,-5,-6 ### End SPP ### [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=mish [route] layers = -1, -13 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [upsample] stride=2 [route] layers = 79 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -1, -3 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=256 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=256 activation=mish [route] layers = -1, -6 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [upsample] stride=2 [route] layers = 48 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -1, -3 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=128 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=128 activation=mish [route] layers = -1, -6 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish ########################## [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=256 activation=mish [convolutional] size=1 stride=1 pad=1 filters=255 activation=logistic [yolo] mask = 0,1,2 anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401 classes=80 num=9 jitter=.1 scale_x_y = 2.0 objectness_smooth=0 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=4.0 iou_loss=ciou nms_kind=diounms beta_nms=0.6 new_coords=1 max_delta=5 [route] layers = -4 [convolutional] batch_normalize=1 size=3 stride=2 pad=1 filters=256 activation=mish [route] layers = -1, -20 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=256 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=256 activation=mish [route] layers = -1,-6 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=mish [convolutional] size=1 stride=1 pad=1 filters=255 activation=logistic [yolo] mask = 3,4,5 anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401 classes=80 num=9 jitter=.1 scale_x_y = 2.0 objectness_smooth=1 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=1.0 iou_loss=ciou nms_kind=diounms beta_nms=0.6 new_coords=1 max_delta=5 [route] layers = -4 [convolutional] batch_normalize=1 size=3 stride=2 pad=1 filters=512 activation=mish [route] layers = -1, -49 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=mish [route] layers = -1,-6 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=1024 activation=mish [convolutional] size=1 stride=1 pad=1 filters=255 activation=logistic [yolo] mask = 6,7,8 anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401 classes=80 num=9 jitter=.1 scale_x_y = 2.0 objectness_smooth=1 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=0.4 iou_loss=ciou nms_kind=diounms beta_nms=0.6 new_coords=1 max_delta=2