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d10c89e9
编写于
8月 31, 2020
作者:
S
syyxsxx
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix mask
上级
2264b3a7
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
32 addition
and
16 deletion
+32
-16
deploy/cpp/include/paddlex/results.h
deploy/cpp/include/paddlex/results.h
+1
-1
deploy/cpp/src/paddlex.cpp
deploy/cpp/src/paddlex.cpp
+28
-8
deploy/cpp/src/visualize.cpp
deploy/cpp/src/visualize.cpp
+3
-7
未找到文件。
deploy/cpp/include/paddlex/results.h
浏览文件 @
d10c89e9
...
...
@@ -47,7 +47,7 @@ struct Box {
// confidence score
float
score
;
std
::
vector
<
float
>
coordinate
;
Mask
<
floa
t
>
mask
;
Mask
<
in
t
>
mask
;
};
/*
...
...
deploy/cpp/src/paddlex.cpp
浏览文件 @
d10c89e9
...
...
@@ -345,12 +345,22 @@ bool Model::predict(const cv::Mat& im, DetResult* result) {
result
->
mask_resolution
=
output_mask_shape
[
2
];
for
(
int
i
=
0
;
i
<
result
->
boxes
.
size
();
++
i
)
{
Box
*
box
=
&
result
->
boxes
[
i
];
auto
begin_mask
=
output_mask
.
begin
()
+
(
i
*
classes
+
box
->
category_id
)
*
mask_pixels
;
auto
end_mask
=
begin_mask
+
mask_pixels
;
box
->
mask
.
data
.
assign
(
begin_mask
,
end_mask
);
box
->
mask
.
shape
=
{
static_cast
<
int
>
(
box
->
coordinate
[
2
]),
static_cast
<
int
>
(
box
->
coordinate
[
3
])};
auto
begin_mask
=
output_mask
.
begin
()
+
(
i
*
classes
+
box
->
category_id
)
*
mask_pixels
;
cv
::
Mat
bin_mask
(
result
->
mask_resolution
,
result
->
mask_resolution
,
CV_32FC1
,
begin_mask
);
cv
::
resize
(
bin_mask
,
bin_mask
,
cv
::
Size
(
box
->
mask
.
shape
[
0
],
box
->
mask
.
shape
[
1
]));
cv
::
threshold
(
bin_mask
,
bin_mask
,
0.5
,
1
,
cv
::
THRESH_BINARY
);
auto
mask_int_begin
=
bin_mask
.
data
;
auto
mask_int_end
=
mask_int_begin
+
box
->
mask
.
shape
[
0
]
*
box
->
mask
.
shape
[
1
];
box
->
mask
.
data
.
assign
(
mask_int_begin
,
mask_int_end
);
}
}
return
true
;
...
...
@@ -519,12 +529,22 @@ bool Model::predict(const std::vector<cv::Mat>& im_batch,
for
(
int
j
=
0
;
j
<
(
*
results
)[
i
].
boxes
.
size
();
++
j
)
{
Box
*
box
=
&
result
->
boxes
[
i
];
int
category_id
=
box
->
category_id
;
box
->
mask
.
shape
=
{
static_cast
<
int
>
(
box
->
coordinate
[
2
]),
static_cast
<
int
>
(
box
->
coordinate
[
3
])};
auto
begin_mask
=
output_mask
.
begin
()
+
(
i
*
classes
+
box
->
category_id
)
*
mask_pixels
;
auto
end_mask
=
begin_mask
+
mask_pixels
;
box
->
mask
.
data
.
assign
(
begin_mask
,
end_mask
);
box
->
mask
.
shape
=
{
static_cast
<
int
>
(
box
->
coordinate
[
2
]),
static_cast
<
int
>
(
box
->
coordinate
[
3
])};
cv
::
Mat
bin_mask
(
result
->
mask_resolution
,
result
->
mask_resolution
,
CV_32FC1
,
begin_mask
);
cv
::
resize
(
bin_mask
,
bin_mask
,
cv
::
Size
(
box
->
mask
.
shape
[
0
],
box
->
mask
.
shape
[
1
]));
cv
::
threshold
(
bin_mask
,
bin_mask
,
0.5
,
1
,
cv
::
THRESH_BINARY
);
auto
mask_int_begin
=
bin_mask
.
data
;
auto
mask_int_end
=
mask_int_begin
+
box
->
mask
.
shape
[
0
]
*
box
->
mask
.
shape
[
1
];
box
->
mask
.
data
.
assign
(
mask_int_begin
,
mask_int_end
);
mask_idx
++
;
}
}
...
...
deploy/cpp/src/visualize.cpp
浏览文件 @
d10c89e9
...
...
@@ -84,14 +84,10 @@ cv::Mat Visualize(const cv::Mat& img,
if
(
boxes
[
i
].
mask
.
data
.
size
()
==
0
)
{
continue
;
}
cv
::
Mat
bin_mask
(
result
.
mask_resolution
,
result
.
mask_resolution
,
CV_
32FC1
cv
::
Mat
bin_mask
(
boxes
[
i
].
mask
.
shape
[
0
]
,
boxes
[
i
].
mask
.
shape
[
1
]
,
CV_
8UC1
,
boxes
[
i
].
mask
.
data
.
data
());
cv
::
resize
(
bin_mask
,
bin_mask
,
cv
::
Size
(
boxes
[
i
].
mask
.
shape
[
0
],
boxes
[
i
].
mask
.
shape
[
1
]));
cv
::
threshold
(
bin_mask
,
bin_mask
,
0.5
,
1
,
cv
::
THRESH_BINARY
);
cv
::
Mat
full_mask
=
cv
::
Mat
::
zeros
(
vis_img
.
size
(),
CV_8UC1
);
bin_mask
.
copyTo
(
full_mask
(
roi
));
cv
::
Mat
mask_ch
[
3
];
...
...
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