未验证 提交 4991425c 编写于 作者: A Alexander Alekhin 提交者: GitHub

Merge pull request #906 from rogday:yolov4x-mish

......@@ -874,6 +874,11 @@ models = [
url='https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights',
sha='d110379b7b86899226b591ad4affc7115f707157',
filename='yolov4-tiny.weights'),
Model(
name='YOLOv4x-mish', # https://github.com/opencv/opencv/issues/18975
url='https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4x-mish.weights',
sha='a6f2879af2241de2e9730d317a55db6afd0af00b',
filename='yolov4x-mish.weights'),
Model(
name='GSOC2016-GOTURN', # https://github.com/opencv/opencv_contrib/issues/941
downloader=GDrive('1j4UTqVE4EGaUFiK7a5I_CYX7twO9c5br'),
......
[net]
# Testing
batch=2
subdivisions=1
# Training
#batch=64
#subdivisions=8
width=640
height=640
channels=3
momentum=0.949
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.001
burn_in=1000
max_batches = 500500
policy=steps
steps=400000,450000
scales=.1,.1
mosaic=1
letter_box=1
#optimized_memory=1
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=80
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=40
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=160
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-13
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=320
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-34
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=640
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-34
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=1280
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-19
[convolutional]
batch_normalize=1
filters=1280
size=1
stride=1
pad=1
activation=mish
########################## 6 0 6 6 3
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
### SPP ###
[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
### End SPP ###
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[route]
layers = -1, -15
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[upsample]
stride=2
[route]
layers = 94
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1, -3
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[route]
layers = -1, -8
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[upsample]
stride=2
[route]
layers = 57
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1, -3
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=160
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=160
activation=mish
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=160
activation=mish
[route]
layers = -1, -8
[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish
stopbackward=800
##########################
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[convolutional]
size=1
stride=1
pad=1
filters=255
activation=logistic
[yolo]
mask = 0,1,2
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
num=9
jitter=.1
scale_x_y = 2.0
objectness_smooth=0
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=4.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
new_coords=1
max_delta=5
[route]
layers = -4
[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=320
activation=mish
[route]
layers = -1, -22
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish
[route]
layers = -1,-8
[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[convolutional]
size=1
stride=1
pad=1
filters=255
activation=logistic
[yolo]
mask = 3,4,5
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
num=9
jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
new_coords=1
max_delta=5
[route]
layers = -4
[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=640
activation=mish
[route]
layers = -1, -55
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish
[route]
layers = -1,-8
[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1280
activation=mish
[convolutional]
size=1
stride=1
pad=1
filters=255
activation=logistic
[yolo]
mask = 6,7,8
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
num=9
jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=0.4
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
new_coords=1
max_delta=2
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