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141 행
복사
[net]
[net]
복사
복사됨
복사
복사됨
Text moved to lines 6-8
# Testing
batch=1
subdivisions=1
# Training
# Training
# batch=64
# batch=64
# subdivisions=2
# subdivisions=2
복사
복사됨
복사
복사됨
Text moved from lines 3-5
# Testing
batch=1
subdivisions=1
width=416
width=416
height=416
height=416
channels=3
channels=3
momentum=0.9
momentum=0.9
decay=0.0005
decay=0.0005
angle=0
angle=0
saturation = 1.5
saturation = 1.5
exposure = 1.5
exposure = 1.5
hue=.1
hue=.1
learning_rate=0.001
learning_rate=0.001
burn_in=1000
burn_in=1000
max_batches = 500200
max_batches = 500200
policy=steps
policy=steps
steps=400000,450000
steps=400000,450000
scales=.1,.1
scales=.1,.1
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=16
filters=16
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
[maxpool]
[maxpool]
size=2
size=2
stride=2
stride=2
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=32
filters=32
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
[maxpool]
[maxpool]
size=2
size=2
stride=2
stride=2
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=64
filters=64
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
[maxpool]
[maxpool]
size=2
size=2
stride=2
stride=2
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=128
filters=128
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
[maxpool]
[maxpool]
size=2
size=2
stride=2
stride=2
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
[maxpool]
[maxpool]
size=2
size=2
stride=2
stride=2
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
[maxpool]
[maxpool]
size=2
size=2
stride=1
stride=1
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=1024
filters=1024
size=3
size=3
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=leaky
###########
###########
[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=512
filters=512
activation=leaky
activation=leaky
[convolutional]
[convolutional]
size=1
size=1
stride=1
stride=1
pad=1
pad=1
filters=425
filters=425
activation=linear
activation=linear
[region]
[region]
anchors = 18.3274,21.6763, 59.9827,66.001, 106.83,175.179, 252.25,112.889, 312.657,293.385
anchors = 18.3274,21.6763, 59.9827,66.001, 106.83,175.179, 252.25,112.889, 312.657,293.385
bias_match=1
bias_match=1
classes=80
classes=80
coords=4
coords=4
num=5
num=5
softmax=1
softmax=1
jitter=.2
jitter=.2
rescore=0
rescore=0
object_scale=5
object_scale=5
noobject_scale=1
noobject_scale=1
class_scale=1
class_scale=1
coord_scale=1
coord_scale=1
absolute=1
absolute=1
thresh = .6
thresh = .6
random=1
random=1
저장된 비교 결과
원본
파일 열기
[net] # Testing batch=1 subdivisions=1 # Training # batch=64 # subdivisions=2 width=416 height=416 channels=3 momentum=0.9 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1 learning_rate=0.001 burn_in=1000 max_batches = 500200 policy=steps steps=400000,450000 scales=.1,.1 [convolutional] batch_normalize=1 filters=16 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=1 [convolutional] batch_normalize=1 filters=1024 size=3 stride=1 pad=1 activation=leaky ########### [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=leaky [convolutional] size=1 stride=1 pad=1 filters=425 activation=linear [region] anchors = 18.3274,21.6763, 59.9827,66.001, 106.83,175.179, 252.25,112.889, 312.657,293.385 bias_match=1 classes=80 coords=4 num=5 softmax=1 jitter=.2 rescore=0 object_scale=5 noobject_scale=1 class_scale=1 coord_scale=1 absolute=1 thresh = .6 random=1
수정본
파일 열기
[net] # Training # batch=64 # subdivisions=2 # Testing batch=1 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=0.001 burn_in=1000 max_batches = 500200 policy=steps steps=400000,450000 scales=.1,.1 [convolutional] batch_normalize=1 filters=16 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=1 [convolutional] batch_normalize=1 filters=1024 size=3 stride=1 pad=1 activation=leaky ########### [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=512 activation=leaky [convolutional] size=1 stride=1 pad=1 filters=425 activation=linear [region] anchors = 18.3274,21.6763, 59.9827,66.001, 106.83,175.179, 252.25,112.889, 312.657,293.385 bias_match=1 classes=80 coords=4 num=5 softmax=1 jitter=.2 rescore=0 object_scale=5 noobject_scale=1 class_scale=1 coord_scale=1 absolute=1 thresh = .6 random=1
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