10 class weight

Edmond Yoo

2018-09-16 f3aced12fcc41415851ffb463675930cea8dd086

 cfg/tiny-yolo.cfg

@@ -1,21 +1,21 @@
[net]
batch=64
subdivisions=2
height=448
width=448
subdivisions=8
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

saturation=.75
exposure=.75
hue = .1

learning_rate=0.0005
learning_rate=0.001
max_batches = 120000
policy=steps
steps=200,400,600,800,20000,30000
scales=2.5,2,2,2,.1,.1
max_batches = 40000
steps=-1,100,80000,100000
scales=.1,10,.1,.1

[convolutional]
batch_normalize=1
@@ -87,7 +87,17 @@

[maxpool]
size=2
stride=2
stride=1

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

###########

[convolutional]
batch_normalize=1
@@ -98,29 +108,27 @@
activation=leaky

[convolutional]
batch_normalize=1
size=3
size=1
stride=1
pad=1
filters=256
activation=leaky

[connected]
output= 1470
filters=425
activation=linear

[detection]
classes=20
[region]
anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
bias_match=1
classes=80
coords=4
rescore=1
side=7
num=2
softmax=0
sqrt=1
num=5
softmax=1
jitter=.2
rescore=1

object_scale=1
noobject_scale=.5
object_scale=5
noobject_scale=1
class_scale=1
coord_scale=5
coord_scale=1

absolute=1
thresh = .6
random=1