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config: update
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‎config/yolov4-tiny-relu-tpu.cfg‎

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[net]
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batch=32
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width=416
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height=416
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channels=3
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learning_rate=0.00261
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burn_in=1000
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max_batches=240000
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policy=steps
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steps=192000,216000
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scales=.1,.1
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mosaic=1
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[convolutional]
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batch_normalize=1
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filters=32
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size=3
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stride=2
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pad=1
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activation=relu
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=2
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pad=1
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activation=relu
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-1
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groups=2
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group_id=1
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[convolutional]
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batch_normalize=1
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filters=32
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size=3
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stride=1
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pad=1
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activation=relu
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[convolutional]
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batch_normalize=1
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filters=32
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size=3
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-1,-2
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[convolutional]
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batch_normalize=1
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filters=64
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size=1
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-6,-1
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[maxpool]
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size=2
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stride=2
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-1
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groups=2
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group_id=1
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=1
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pad=1
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activation=relu
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-1,-2
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[convolutional]
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batch_normalize=1
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filters=128
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size=1
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-6,-1
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[maxpool]
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size=2
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stride=2
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[convolutional]
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batch_normalize=1
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filters=256
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size=3
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-1
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groups=2
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group_id=1
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=relu
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-1,-2
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[convolutional]
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batch_normalize=1
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filters=256
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size=1
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stride=1
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pad=1
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activation=relu
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[route]
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layers=-6,-1
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[maxpool]
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size=2
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stride=2
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[convolutional]
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batch_normalize=1
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filters=512
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size=3
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stride=1
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pad=1
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activation=relu
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##################################
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[convolutional]
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batch_normalize=1
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filters=256
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size=1
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stride=1
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pad=1
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activation=relu
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[convolutional]
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batch_normalize=1
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filters=512
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size=3
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stride=1
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pad=1
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activation=relu
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[convolutional]
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size=1
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stride=1
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pad=1
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filters=255
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activation=linear
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[yolo_tpu]
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mask=3,4,5
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anchors=10,14, 23,27, 37,58, 81,82, 135,169, 344,319
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num=6
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scale_x_y=1.05
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classes=80
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iou_thresh=0.213
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iou_loss=ciou
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iou_normalizer=0.7
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obj_normalizer=1.0
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label_smooth_eps=0.01
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cls_normalizer=1.0
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nms_kind=greedynms
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beta_nms=0.6
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[route]
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layers=-4
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[convolutional]
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batch_normalize=1
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filters=128
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size=1
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stride=1
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pad=1
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activation=relu
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[upsample]
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stride=2
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[route]
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layers=-1, 23
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[convolutional]
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batch_normalize=1
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filters=256
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size=3
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stride=1
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pad=1
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activation=relu
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[convolutional]
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size=1
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stride=1
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pad=1
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filters=255
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activation=linear
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[yolo_tpu]
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mask=1,2,3
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anchors=10,14, 23,27, 37,58, 81,82, 135,169, 344,319
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num=6
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scale_x_y=1.05
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classes=80
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iou_thresh=0.213
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iou_loss=ciou
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iou_normalizer=0.7
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obj_normalizer=1.0
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label_smooth_eps=0.01
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cls_normalizer=1.0
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nms_kind=greedynms
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beta_nms=0.6

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