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YOLOv3 Tiny的cfg檔案(針對單class)
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[net] | |
# Testing | |
batch=16 | |
subdivisions=16 | |
# Training | |
# batch=64 | |
# subdivisions=2 | |
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 = 5020 #最多跑5020個batches就結束 | |
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 #filters=(class+5)*3=6*3=18 | |
activation=linear | |
[yolo] | |
mask = 3,4,5 | |
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 | |
classes=1 #classes只有1種就寫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 #filters=(class+5)*3=6*3=18 | |
activation=linear | |
[yolo] | |
mask = 0,1,2 | |
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319 | |
classes=1 #classes只有1種就寫1 | |
num=6 | |
jitter=.3 | |
ignore_thresh = .7 | |
truth_thresh = 1 | |
random=1 |
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