Last active
May 24, 2020 04:15
-
-
Save archie9211/273a0afe03c104652a5003e8b3b22065 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
[net] | |
# Testing | |
# batch=1 | |
# subdivisions=1 | |
# Training | |
batch=64 | |
subdivisions=16 | |
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 = 50000 | |
policy=steps | |
steps=4000,5000 | |
scales=.1,.1 | |
[convolutional] | |
batch_normalize=1 | |
filters=32 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
# Downsample | |
[convolutional] | |
batch_normalize=1 | |
filters=64 | |
size=3 | |
stride=2 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=32 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=64 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
# Downsample | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=3 | |
stride=2 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=64 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=64 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
# Downsample | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=2 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
# Downsample | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=3 | |
stride=2 | |
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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
[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 | |
[shortcut] | |
from=-3 | |
activation=linear | |
# Downsample | |
[convolutional] | |
batch_normalize=1 | |
filters=1024 | |
size=3 | |
stride=2 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=1024 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=1024 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=1024 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=1024 | |
size=3 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[shortcut] | |
from=-3 | |
activation=linear | |
###################### | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=1024 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=1024 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=512 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=1024 | |
activation=leaky | |
[convolutional] | |
size=1 | |
stride=1 | |
pad=1 | |
filters=24 | |
activation=linear | |
[yolo] | |
mask = 6,7,8 | |
anchors = 31,257, 76,325, 152,215, 224,189, 142,343, 321,230, 242,340, 392,311, 376,388 | |
classes=3 | |
num=9 | |
jitter=.3 | |
ignore_thresh = .7 | |
truth_thresh = 1 | |
random=1 | |
[route] | |
layers = -4 | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[upsample] | |
stride=2 | |
[route] | |
layers = -1, 61 | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=512 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=512 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=256 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=512 | |
activation=leaky | |
[convolutional] | |
size=1 | |
stride=1 | |
pad=1 | |
filters=24 | |
activation=linear | |
[yolo] | |
mask = 3,4,5 | |
anchors = 31,257, 76,325, 152,215, 224,189, 142,343, 321,230, 242,340, 392,311, 376,388 | |
classes=3 | |
num=9 | |
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, 36 | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=256 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=256 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
filters=128 | |
size=1 | |
stride=1 | |
pad=1 | |
activation=leaky | |
[convolutional] | |
batch_normalize=1 | |
size=3 | |
stride=1 | |
pad=1 | |
filters=256 | |
activation=leaky | |
[convolutional] | |
size=1 | |
stride=1 | |
pad=1 | |
filters=24 | |
activation=linear | |
[yolo] | |
mask = 0,1,2 | |
anchors = 31,257, 76,325, 152,215, 224,189, 142,343, 321,230, 242,340, 392,311, 376,388 | |
classes=3 | |
num=9 | |
jitter=.3 | |
ignore_thresh = .7 | |
truth_thresh = 1 | |
random=1 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment