yolo demo low latency

Joseph Redmon

2016-06-20 a45d17ffe3f6f3435228319171b2efda7484f01d

 cfg/darknet.cfg

@@ -1,23 +1,17 @@
[net]
batch=128
subdivisions=1
height=256
width=256
height=224
width=224
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.01
policy=poly
power=.5
max_batches=600000
max_crop=320

[crop]
crop_height=224
crop_width=224
flip=1
angle=0
saturation=1
exposure=1
learning_rate=0.1
policy=poly
power=4
max_batches=500000

[convolutional]
filters=16
@@ -27,7 +21,7 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
@@ -38,7 +32,7 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
@@ -49,7 +43,7 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
@@ -60,7 +54,7 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
@@ -71,7 +65,7 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
@@ -82,7 +76,7 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
@@ -94,14 +88,12 @@

[avgpool]

[dropout]
probability=.5

[connected]
output=1000
activation=linear
activation=leaky

[softmax]
groups=1

[cost]
type=sse