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体验新版 GitCode,发现更多精彩内容 >>
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4991425c
编写于
9月 14, 2021
作者:
A
Alexander Alekhin
提交者:
GitHub
9月 14, 2021
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Merge pull request #906 from rogday:yolov4x-mish
上级
5f1b3ac7
bd13c23e
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
1441 addition
and
0 deletion
+1441
-0
testdata/dnn/download_models.py
testdata/dnn/download_models.py
+5
-0
testdata/dnn/yolov4x-mish.cfg
testdata/dnn/yolov4x-mish.cfg
+1436
-0
未找到文件。
testdata/dnn/download_models.py
浏览文件 @
4991425c
...
...
@@ -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'
),
...
...
testdata/dnn/yolov4x-mish.cfg
0 → 100644
浏览文件 @
4991425c
[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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