car-detection-bayes/cfg/yolov3-asff.cfg

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# Generated by Glenn Jocher (glenn.jocher@ultralytics.com) for https://github.com/ultralytics/yolov3
# def kmean_anchors(path='../coco/train2017.txt', n=12, img_size=(320, 640)): # from utils.utils import *; kmean_anchors()
# Evolving anchors: 100%|██████████| 1000/1000 [41:15<00:00, 2.48s/it]
# 0.20 iou_thr: 0.992 best possible recall, 4.25 anchors > thr
# kmeans anchors (n=12, img_size=(320, 640), IoU=0.005/0.184/0.634-min/mean/best): 6,9, 15,16, 17,35, 37,26, 36,67, 63,42, 57,100, 121,81, 112,169, 241,158, 195,310, 426,359
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[net]
# Testing
# batch=1
# subdivisions=1
# Training
batch=64
subdivisions=16
width=608
height=608
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=32
size=3
stride=1
pad=1
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activation=leaky
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# Downsample
[convolutional]
batch_normalize=1
filters=64
size=3
stride=2
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=32
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=512
size=3
stride=2
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=2
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
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activation=leaky
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[shortcut]
from=-3
activation=linear
######################
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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# SPP --------------------------------------------------------------------------
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[maxpool]
stride=1
size=5
[route]
layers=-2
[maxpool]
stride=1
size=9
[route]
layers=-4
[maxpool]
stride=1
size=13
[route]
layers=-1,-3,-5,-6
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# SPP --------------------------------------------------------------------------
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[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
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activation=leaky
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[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
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activation=leaky
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[convolutional]
size=1
stride=1
pad=1
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filters=258
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activation=linear
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# YOLO -------------------------------------------------------------------------
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[route]
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layers = -3
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[upsample]
stride=2
[route]
layers = -1, 61
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=512
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=512
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activation=leaky
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=512
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activation=leaky
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[convolutional]
size=1
stride=1
pad=1
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filters=258
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activation=linear
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# YOLO -------------------------------------------------------------------------
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[route]
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layers = -3
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[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[upsample]
stride=2
[route]
layers = -1, 36
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=256
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activation=leaky
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[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=256
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activation=leaky
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[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
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activation=leaky
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=256
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activation=leaky
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[convolutional]
size=1
stride=1
pad=1
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filters=258
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activation=linear
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[yolo]
from=88,99,110
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mask = 6,7,8
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anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
classes=80
num=9
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[yolo]
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from=88,99,110
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mask = 3,4,5
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anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
classes=80
num=9
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[yolo]
from=88,99,110
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mask = 0,1,2
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anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
classes=80
num=9