adding coco models

Joseph Redmon

2016-09-08 c62b4f35aa2c59d7db0fd177affeed14b1ba4bcb

 cfg/yolo-coco.cfg

@@ -7,21 +7,18 @@
momentum=0.9
decay=0.0005

learning_rate=0.0001
policy=steps
steps=100,200,300,100000,150000
scales=2.5,2,2,.1,.1
max_batches = 300000
hue = .1
saturation=.75
exposure=.75

[crop]
crop_width=448
crop_height=448
flip=0
angle=0
saturation = 1.5
exposure = 1.5
learning_rate=0.0005
policy=steps
steps=200,400,600,800,100000,150000
scales=2.5,2,2,2,.1,.1
max_batches = 200000

[convolutional]
batch_normalize=1
filters=64
size=7
stride=2
@@ -33,6 +30,7 @@
stride=2

[convolutional]
batch_normalize=1
filters=192
size=3
stride=1
@@ -44,6 +42,7 @@
stride=2

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
@@ -51,6 +50,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
@@ -58,6 +58,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
@@ -65,6 +66,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -76,6 +78,7 @@
stride=2

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
@@ -83,6 +86,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -90,6 +94,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
@@ -97,6 +102,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -104,6 +110,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
@@ -111,6 +118,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -118,6 +126,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
@@ -125,6 +134,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -132,6 +142,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
@@ -139,6 +150,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
@@ -150,6 +162,7 @@
stride=2

[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
@@ -157,6 +170,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
@@ -164,6 +178,7 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
@@ -171,17 +186,17 @@
activation=leaky

[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky


#################################

#######

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
@@ -189,6 +204,7 @@
activation=leaky

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
@@ -196,6 +212,7 @@
activation=leaky

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
@@ -203,6 +220,7 @@
activation=leaky

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
@@ -213,14 +231,11 @@
size=3
stride=1
pad=1
filters=192
filters=256
activation=leaky

[dropout]
probability=.5

[connected]
output= 4410
output= 4655
activation=linear

[detection]
@@ -228,7 +243,7 @@
coords=4
rescore=1
side=7
num=2
num=3
softmax=0
sqrt=1
jitter=.2