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[net] | |
# Testing | |
#batch=1 | |
#subdivisions=1 | |
# Training | |
batch=64 | |
subdivisions=16 | |
width=224 | |
height=224 | |
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=30 | |
activation=linear | |
[region] | |
anchors = 0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828 | |
bias_match=1 | |
classes=1 | |
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 |
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