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June 10, 2018 12:21
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Triain YOLO to detect soy milk
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classes= 1 | |
train = data/soy-milk_train.txt | |
valid = data/soy-milk_test.txt | |
names = data/soy-milk.names | |
backup = backup |
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soy-milk |
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0 0.441797 0.581250 0.636719 0.323611 | |
(this is just an example of box file created by Yolo-mark) |
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data/soy-milk/soy-milk_1.jpg | |
data/soy-milk/soy-milk_2.jpg | |
data/soy-milk/soy-milk_3.jpg | |
data/soy-milk/soy-milk_4.jpg | |
data/soy-milk/soy-milk_5.jpg | |
data/soy-milk/soy-milk_6.jpg | |
data/soy-milk/soy-milk_7.jpg | |
data/soy-milk/soy-milk_8.jpg | |
data/soy-milk/soy-milk_9.jpg |
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data/soy-milk/soy-milk_10.jpg | |
data/soy-milk/soy-milk_11.jpg | |
data/soy-milk/soy-milk_12.jpg | |
data/soy-milk/soy-milk_13.jpg | |
data/soy-milk/soy-milk_14.jpg | |
data/soy-milk/soy-milk_15.jpg | |
data/soy-milk/soy-milk_16.jpg | |
data/soy-milk/soy-milk_17.jpg | |
data/soy-milk/soy-milk_18.jpg | |
data/soy-milk/soy-milk_19.jpg | |
data/soy-milk/soy-milk_20.jpg | |
data/soy-milk/soy-milk_21.jpg | |
data/soy-milk/soy-milk_22.jpg | |
data/soy-milk/soy-milk_23.jpg | |
data/soy-milk/soy-milk_24.jpg | |
data/soy-milk/soy-milk_25.jpg | |
data/soy-milk/soy-milk_26.jpg | |
data/soy-milk/soy-milk_27.jpg | |
data/soy-milk/soy-milk_28.jpg | |
data/soy-milk/soy-milk_29.jpg | |
data/soy-milk/soy-milk_30.jpg | |
data/soy-milk/soy-milk_31.jpg | |
data/soy-milk/soy-milk_32.jpg | |
data/soy-milk/soy-milk_33.jpg | |
data/soy-milk/soy-milk_34.jpg | |
data/soy-milk/soy-milk_35.jpg | |
data/soy-milk/soy-milk_36.jpg | |
data/soy-milk/soy-milk_37.jpg |
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[net] | |
# Testing | |
#batch=1 | |
#subdivisions=1 | |
# Training | |
batch=64 | |
subdivisions=8 | |
width=416 | |
height=416 | |
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 | |
filters=256 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
size=1 | |
stride=1 | |
pad=1 | |
filters=18 | |
activation=linear | |
[yolo] | |
mask = 3,4,5 | |
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 | |
classes=1 | |
num=6 | |
jitter=.3 | |
ignore_thresh = .7 | |
truth_thresh = 1 | |
random=1 | |
[route] | |
layers = -4 | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[upsample] | |
stride=2 | |
[route] | |
layers = -1, 8 | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
size=1 | |
stride=1 | |
pad=1 | |
filters=18 | |
activation=linear | |
[yolo] | |
mask = 1,2,3 | |
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 | |
classes=1 | |
num=6 | |
jitter=.3 | |
ignore_thresh = .7 | |
truth_thresh = 1 | |
random=1 |
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