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a9c8aa2c
编写于
9月 05, 2018
作者:
B
Bai Yifan
提交者:
GitHub
9月 05, 2018
浏览文件
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电子邮件补丁
差异文件
Fix data-anchor-sampling and use depthwise conv (#1188)
* fix data-anchor-sampling and use depthwise conv
上级
06ab0c69
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
20 addition
and
7 deletion
+20
-7
fluid/face_detection/image_util.py
fluid/face_detection/image_util.py
+19
-6
fluid/face_detection/pyramidbox.py
fluid/face_detection/pyramidbox.py
+1
-1
未找到文件。
fluid/face_detection/image_util.py
浏览文件 @
a9c8aa2c
...
...
@@ -123,25 +123,34 @@ def data_anchor_sampling(sampler, bbox_labels, image_width, image_height,
hei
=
image_height
*
(
norm_ymax
-
norm_ymin
)
range_size
=
0
area
=
wid
*
hei
for
scale_ind
in
range
(
0
,
len
(
scale_array
)
-
1
):
area
=
wid
*
hei
if
area
>
scale_array
[
scale_ind
]
**
2
and
area
<
\
scale_array
[
scale_ind
+
1
]
**
2
:
range_size
=
scale_ind
+
1
break
if
area
>
scale_array
[
len
(
scale_array
)
-
2
]
**
2
:
range_size
=
len
(
scale_array
)
-
2
scale_choose
=
0.0
if
range_size
==
0
:
rand_idx_size
=
range_size
+
1
rand_idx_size
=
0
else
:
# np.random.randint range: [low, high)
rng_rand_size
=
np
.
random
.
randint
(
0
,
range_size
+
1
)
rand_idx_size
=
rng_rand_size
%
(
range_size
+
1
)
min_resize_val
=
scale_array
[
rand_idx_size
]
/
2.0
max_resize_val
=
min
(
2.0
*
scale_array
[
rand_idx_size
],
2
*
math
.
sqrt
(
wid
*
hei
))
scale_choose
=
np
.
random
.
uniform
(
min_resize_val
,
max_resize_val
)
if
rand_idx_size
==
range_size
:
min_resize_val
=
scale_array
[
rand_idx_size
]
/
2.0
max_resize_val
=
min
(
2.0
*
scale_array
[
rand_idx_size
],
2
*
math
.
sqrt
(
wid
*
hei
))
scale_choose
=
random
.
uniform
(
min_resize_val
,
max_resize_val
)
else
:
min_resize_val
=
scale_array
[
rand_idx_size
]
/
2.0
max_resize_val
=
2.0
*
scale_array
[
rand_idx_size
]
scale_choose
=
random
.
uniform
(
min_resize_val
,
max_resize_val
)
sample_bbox_size
=
wid
*
resize_width
/
scale_choose
w_off_orig
=
0.0
...
...
@@ -178,6 +187,8 @@ def data_anchor_sampling(sampler, bbox_labels, image_width, image_height,
w_off
+
float
(
sample_bbox_size
/
image_width
),
h_off
+
float
(
sample_bbox_size
/
image_height
))
return
sampled_bbox
else
:
return
0
def
jaccard_overlap
(
sample_bbox
,
object_bbox
):
...
...
@@ -265,6 +276,8 @@ def generate_batch_random_samples(batch_sampler, bbox_labels, image_width,
sample_bbox
=
data_anchor_sampling
(
sampler
,
bbox_labels
,
image_width
,
image_height
,
scale_array
,
resize_width
,
resize_height
)
if
sample_bbox
==
0
:
break
if
satisfy_sample_constraint
(
sampler
,
sample_bbox
,
bbox_labels
):
sampled_bbox
.
append
(
sample_bbox
)
found
=
found
+
1
...
...
fluid/face_detection/pyramidbox.py
浏览文件 @
a9c8aa2c
...
...
@@ -144,7 +144,7 @@ class PyramidBox(object):
groups
=
ch
,
param_attr
=
w_attr
,
bias_attr
=
False
,
use_cudnn
=
Tru
e
)
use_cudnn
=
Fals
e
)
else
:
upsampling
=
fluid
.
layers
.
resize_bilinear
(
conv1
,
out_shape
=
up_to
.
shape
[
2
:])
...
...
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