training w/ full yolo cfg

Edmond Yoo

2018-09-11 7e9e289b164e9bbfb77f644b1cbfac48bc8c8408

 cfg/yolov3-custom.cfg

@@ -1,7 +1,7 @@
[net]
# Testing
batch=8
subdivisions=4
batch=64
subdivisions=32
# Training
# batch=64
# subdivisions=16
@@ -17,7 +17,7 @@

learning_rate=0.001
burn_in=1000
max_batches = 500200
max_batches = 30000
policy=steps
steps=400000,450000
scales=.1,.1
@@ -606,7 +606,7 @@

[yolo]
mask = 6,7,8
anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
anchors = 129.1513,150.1077, 104.9181,195.1675, 145.8067,186.4670, 127.9706,231.2296, 165.9494,221.8162, 162.4676,253.0225
classes=1
num=9
jitter=.3
@@ -692,7 +692,7 @@

[yolo]
mask = 3,4,5
anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
anchors = 129.1513,150.1077, 104.9181,195.1675, 145.8067,186.4670, 127.9706,231.2296, 165.9494,221.8162, 162.4676,253.0225
classes=1
num=9
jitter=.3
@@ -779,7 +779,7 @@

[yolo]
mask = 0,1,2
anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
anchors = 129.1513,150.1077, 104.9181,195.1675, 145.8067,186.4670, 127.9706,231.2296, 165.9494,221.8162, 162.4676,253.0225
classes=1
num=9
jitter=.3