Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
PaddleDetection
提交
b83e39ef
P
PaddleDetection
项目概览
PaddlePaddle
/
PaddleDetection
大约 1 年 前同步成功
通知
695
Star
11112
Fork
2696
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
184
列表
看板
标记
里程碑
合并请求
40
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
PaddleDetection
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
184
Issue
184
列表
看板
标记
里程碑
合并请求
40
合并请求
40
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
b83e39ef
编写于
2月 15, 2021
作者:
F
Feng Ni
提交者:
GitHub
2月 15, 2021
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
[dygraph] from_config for hrnet, test=dygraph (#2218)
* from_config hrnet, test=dygraph * update hrnet modelzoo, test=dygraph
上级
28e5a3ab
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
82 addition
and
67 deletion
+82
-67
dygraph/configs/hrnet/README.md
dygraph/configs/hrnet/README.md
+4
-4
dygraph/configs/hrnet/_base_/faster_rcnn_hrnetv2p_w18.yml
dygraph/configs/hrnet/_base_/faster_rcnn_hrnetv2p_w18.yml
+31
-51
dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml
dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml
+3
-0
dygraph/ppdet/modeling/backbones/hrnet.py
dygraph/ppdet/modeling/backbones/hrnet.py
+11
-0
dygraph/ppdet/modeling/necks/hrfpn.py
dygraph/ppdet/modeling/necks/hrfpn.py
+33
-12
未找到文件。
dygraph/configs/hrnet/README.md
浏览文件 @
b83e39ef
...
...
@@ -28,7 +28,7 @@
## Model Zoo
| Backbone | Type |
deformable Conv |
Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download | Configs |
| :---------------------- | :------------- | :---
: | :---
----: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: | :-----: |
| HRNetV2p_W18 | Faster |
False | 2 | 1x | - | 35.7
| - |
[
model
](
https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_hrnetv2p_w18_1x_coco.pdparams
)
|
[
config
](
https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml
)
|
| HRNetV2p_W18 | Faster |
False | 2 | 2x | - | 37.7
| - |
[
model
](
https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams
)
|
[
config
](
https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.yml
)
|
| Backbone | Type | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download | Configs |
| :---------------------- | :------------- | :-------: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: | :-----: |
| HRNetV2p_W18 | Faster |
1 | 1x | - | 36.8
| - |
[
model
](
https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_hrnetv2p_w18_1x_coco.pdparams
)
|
[
config
](
https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml
)
|
| HRNetV2p_W18 | Faster |
1 | 2x | - | 39.0
| - |
[
model
](
https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams
)
|
[
config
](
https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.yml
)
|
dygraph/configs/hrnet/_base_/faster_rcnn_hrnetv2p_w18.yml
浏览文件 @
b83e39ef
architecture
:
FasterRCNN
pretrain_weights
:
https://paddle-imagenet-models-name.bj.bcebos.com/HRNet_W18_C_pretrained.tar
weights
:
output/faster_rcnn_hrnetv2p_w18_1x_coco/model_final
load_static_weights
:
True
# Model Achitecture
FasterRCNN
:
# model anchor info flow
anchor
:
Anchor
proposal
:
Proposal
# model feat info flow
backbone
:
HRNet
neck
:
HRFPN
rpn_head
:
RPNHead
...
...
@@ -26,65 +20,51 @@ HRFPN:
share_conv
:
false
RPNHead
:
rpn_feat
:
name
:
RPNFeat
feat_in
:
256
feat_out
:
256
anchor_per_position
:
3
rpn_channel
:
256
Anchor
:
anchor_generator
:
name
:
AnchorGeneratorRPN
aspect_ratios
:
[
0.5
,
1.0
,
2.0
]
anchor_start_size
:
32
stride
:
[
4.
,
4.
]
anchor_target_generator
:
name
:
AnchorTargetGeneratorRPN
anchor_sizes
:
[[
32
],
[
64
],
[
128
],
[
256
],
[
512
]]
strides
:
[
4
,
8
,
16
,
32
,
64
]
rpn_target_assign
:
batch_size_per_im
:
256
fg_fraction
:
0.5
negative_overlap
:
0.3
positive_overlap
:
0.7
straddle_thresh
:
0.0
Proposal
:
proposal_generator
:
name
:
ProposalGenerator
use_random
:
True
train_proposal
:
min_size
:
0.0
nms_thresh
:
0.7
pre_nms_top_n
:
2000
post_nms_top_n
:
2000
topk_after_collect
:
True
test_proposal
:
min_size
:
0.0
nms_thresh
:
0.7
train_pre_nms_top_n
:
2000
train_post_nms_top_n
:
2000
infer_pre_nms_top_n
:
1000
infer_post_nms_top_n
:
1000
proposal_target_generator
:
name
:
ProposalTargetGenerator
batch_size_per_im
:
512
bbox_reg_weights
:
[
0.1
,
0.1
,
0.2
,
0.2
]
bg_thresh_hi
:
[
0.5
,]
bg_thresh_lo
:
[
0.0
,]
fg_thresh
:
[
0.5
,]
fg_fraction
:
0.25
pre_nms_top_n
:
1000
post_nms_top_n
:
1000
BBoxHead
:
bbox_feat
:
name
:
BBoxFeat
roi_extractor
:
name
:
RoIAlign
resolution
:
7
sampling_ratio
:
2
head_feat
:
name
:
TwoFCHead
in_dim
:
256
mlp_dim
:
1024
in_feat
:
1024
head
:
TwoFCHead
roi_extractor
:
resolution
:
7
sampling_ratio
:
0
aligned
:
True
bbox_assigner
:
BBoxAssigner
BBoxAssigner
:
batch_size_per_im
:
512
bg_thresh
:
0.5
fg_thresh
:
0.5
fg_fraction
:
0.25
use_random
:
True
TwoFCHead
:
mlp_dim
:
1024
BBoxPostProcess
:
decode
:
name
:
RCNNBox
num_classes
:
81
batch_size
:
1
decode
:
RCNNBox
nms
:
name
:
MultiClassNMS
keep_top_k
:
100
score_threshold
:
0.05
nms_threshold
:
0.5
normalized
:
true
dygraph/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml
浏览文件 @
b83e39ef
...
...
@@ -6,6 +6,9 @@ _BASE_: [
'
../runtime.yml'
,
]
weights
:
output/faster_rcnn_hrnetv2p_w18_1x_coco/model_final
epoch
:
12
LearningRate
:
base_lr
:
0.02
schedulers
:
...
...
dygraph/ppdet/modeling/backbones/hrnet.py
浏览文件 @
b83e39ef
...
...
@@ -22,6 +22,7 @@ from numbers import Integral
import
math
from
ppdet.core.workspace
import
register
,
serializable
from
..shape_spec
import
ShapeSpec
__all__
=
[
'HRNet'
]
...
...
@@ -577,6 +578,8 @@ class HRNet(nn.Layer):
channels_2
,
channels_3
,
channels_4
=
self
.
channels
[
width
]
num_modules_2
,
num_modules_3
,
num_modules_4
=
1
,
4
,
3
self
.
_out_channels
=
channels_4
self
.
_out_strides
=
[
4
,
8
,
16
,
32
]
self
.
conv_layer1_1
=
ConvNormLayer
(
ch_in
=
3
,
...
...
@@ -666,3 +669,11 @@ class HRNet(nn.Layer):
res
.
append
(
layer
)
return
res
@
property
def
out_shape
(
self
):
return
[
ShapeSpec
(
channels
=
self
.
_out_channels
[
i
],
stride
=
self
.
_out_strides
[
i
])
for
i
in
self
.
return_idx
]
dygraph/ppdet/modeling/necks/hrfpn.py
浏览文件 @
b83e39ef
...
...
@@ -18,6 +18,7 @@ from paddle import ParamAttr
import
paddle.nn
as
nn
from
paddle.regularizer
import
L2Decay
from
ppdet.core.workspace
import
register
,
serializable
from
..shape_spec
import
ShapeSpec
__all__
=
[
'HRFPN'
]
...
...
@@ -26,23 +27,28 @@ __all__ = ['HRFPN']
class
HRFPN
(
nn
.
Layer
):
"""
Args:
in_channel
(in
t): number of input feature channels from backbone
in_channel
s (lis
t): number of input feature channels from backbone
out_channel (int): number of output feature channels
share_conv (bool): whether to share conv for different layers' reduction
spatial_scale (list): feature map scaling factor
spatial_scales (list): feature map scaling factor
extra_stage (int): add extra stage for returning HRFPN fpn_feats
"""
def
__init__
(
self
,
in_channel
=
270
,
out_channel
=
256
,
share_conv
=
False
,
spatial_scale
=
[
1.
/
4
,
1.
/
8
,
1.
/
16
,
1.
/
32
,
1.
/
64
],
):
def
__init__
(
self
,
in_channels
=
[
18
,
36
,
72
,
144
]
,
out_channel
=
256
,
share_conv
=
False
,
extra_stage
=
1
,
spatial_scales
=
[
1.
/
4
,
1.
/
8
,
1.
/
16
,
1.
/
32
]
):
super
(
HRFPN
,
self
).
__init__
()
in_channel
=
sum
(
in_channels
)
self
.
in_channel
=
in_channel
self
.
out_channel
=
out_channel
self
.
share_conv
=
share_conv
self
.
spatial_scale
=
spatial_scale
for
i
in
range
(
extra_stage
):
spatial_scales
=
spatial_scales
+
[
spatial_scales
[
-
1
]
/
2.
]
self
.
spatial_scales
=
spatial_scales
self
.
num_out
=
len
(
self
.
spatial_scales
)
self
.
reduction
=
nn
.
Conv2D
(
in_channels
=
in_channel
,
...
...
@@ -50,7 +56,7 @@ class HRFPN(nn.Layer):
kernel_size
=
1
,
weight_attr
=
ParamAttr
(
name
=
'hrfpn_reduction_weights'
),
bias_attr
=
False
)
self
.
num_out
=
len
(
self
.
spatial_scale
)
if
share_conv
:
self
.
fpn_conv
=
nn
.
Conv2D
(
in_channels
=
out_channel
,
...
...
@@ -106,5 +112,20 @@ class HRFPN(nn.Layer):
conv
=
conv_func
(
outs
[
i
])
outputs
.
append
(
conv
)
fpn_feat
=
[
outputs
[
k
]
for
k
in
range
(
self
.
num_out
)]
return
fpn_feat
,
self
.
spatial_scale
fpn_feats
=
[
outputs
[
k
]
for
k
in
range
(
self
.
num_out
)]
return
fpn_feats
@
classmethod
def
from_config
(
cls
,
cfg
,
input_shape
):
return
{
'in_channels'
:
[
i
.
channels
for
i
in
input_shape
],
'spatial_scales'
:
[
1.0
/
i
.
stride
for
i
in
input_shape
],
}
@
property
def
out_shape
(
self
):
return
[
ShapeSpec
(
channels
=
self
.
out_channel
,
stride
=
1.
/
s
)
for
s
in
self
.
spatial_scales
]
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录