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wangsen
paddle_dbnet
Commits
aa6c2b84
Commit
aa6c2b84
authored
Feb 26, 2022
by
WenmuZhou
Browse files
add cpuThreadNum and cpuPowerMode to init
parent
e456e0b7
Changes
1
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Showing
1 changed file
with
11 additions
and
11 deletions
+11
-11
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java
...c/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java
+11
-11
No files found.
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java
View file @
aa6c2b84
...
@@ -46,7 +46,7 @@ public class Predictor {
...
@@ -46,7 +46,7 @@ public class Predictor {
public
Predictor
()
{
public
Predictor
()
{
}
}
public
boolean
init
(
Context
appCtx
,
String
modelPath
,
String
labelPath
)
{
public
boolean
init
(
Context
appCtx
,
String
modelPath
,
String
labelPath
,
int
cpuThreadNum
,
String
cpuPowerMode
)
{
isLoaded
=
loadModel
(
appCtx
,
modelPath
,
cpuThreadNum
,
cpuPowerMode
);
isLoaded
=
loadModel
(
appCtx
,
modelPath
,
cpuThreadNum
,
cpuPowerMode
);
if
(!
isLoaded
)
{
if
(!
isLoaded
)
{
return
false
;
return
false
;
...
@@ -86,7 +86,7 @@ public class Predictor {
...
@@ -86,7 +86,7 @@ public class Predictor {
Log
.
e
(
TAG
,
"Only BGR color format is supported."
);
Log
.
e
(
TAG
,
"Only BGR color format is supported."
);
return
false
;
return
false
;
}
}
boolean
isLoaded
=
init
(
appCtx
,
modelPath
,
labelPath
);
boolean
isLoaded
=
init
(
appCtx
,
modelPath
,
labelPath
,
cpuThreadNum
,
cpuPowerMode
);
if
(!
isLoaded
)
{
if
(!
isLoaded
)
{
return
false
;
return
false
;
}
}
...
@@ -119,11 +119,11 @@ public class Predictor {
...
@@ -119,11 +119,11 @@ public class Predictor {
OCRPredictorNative
.
Config
config
=
new
OCRPredictorNative
.
Config
();
OCRPredictorNative
.
Config
config
=
new
OCRPredictorNative
.
Config
();
config
.
cpuThreadNum
=
cpuThreadNum
;
config
.
cpuThreadNum
=
cpuThreadNum
;
config
.
detModelFilename
=
realPath
+
File
.
separator
+
"ch_ppocr_mobile_v2.0_det_opt.nb"
;
config
.
recModelFilename
=
realPath
+
File
.
separator
+
"ch_ppocr_mobile_v2.0_rec_opt.nb"
;
config
.
clsModelFilename
=
realPath
+
File
.
separator
+
"ch_ppocr_mobile_v2.0_cls_opt.nb"
;
Log
.
e
(
"Predictor"
,
"model path"
+
config
.
detModelFilename
+
" ; "
+
config
.
recModelFilename
+
";"
+
config
.
clsModelFilename
);
config
.
cpuPower
=
cpuPowerMode
;
config
.
cpuPower
=
cpuPowerMode
;
config
.
detModelFilename
=
realPath
+
File
.
separator
+
"det_db.nb"
;
config
.
recModelFilename
=
realPath
+
File
.
separator
+
"rec_crnn.nb"
;
config
.
clsModelFilename
=
realPath
+
File
.
separator
+
"cls.nb"
;
Log
.
e
(
"Predictor"
,
"model path"
+
config
.
detModelFilename
+
" ; "
+
config
.
recModelFilename
+
";"
+
config
.
clsModelFilename
);
paddlePredictor
=
new
OCRPredictorNative
(
config
);
paddlePredictor
=
new
OCRPredictorNative
(
config
);
this
.
cpuThreadNum
=
cpuThreadNum
;
this
.
cpuThreadNum
=
cpuThreadNum
;
...
@@ -197,19 +197,19 @@ public class Predictor {
...
@@ -197,19 +197,19 @@ public class Predictor {
}
}
int
[]
channelStride
=
new
int
[]{
width
*
height
,
width
*
height
*
2
};
int
[]
channelStride
=
new
int
[]{
width
*
height
,
width
*
height
*
2
};
int
[]
pixels
=
new
int
[
width
*
height
];
int
[]
pixels
=
new
int
[
width
*
height
];
scaleImage
.
getPixels
(
pixels
,
0
,
scaleImage
.
getWidth
(),
0
,
0
,
scaleImage
.
getWidth
(),
scaleImage
.
getHeight
());
scaleImage
.
getPixels
(
pixels
,
0
,
scaleImage
.
getWidth
(),
0
,
0
,
scaleImage
.
getWidth
(),
scaleImage
.
getHeight
());
for
(
int
i
=
0
;
i
<
pixels
.
length
;
i
++)
{
for
(
int
i
=
0
;
i
<
pixels
.
length
;
i
++)
{
int
color
=
pixels
[
i
];
int
color
=
pixels
[
i
];
float
[]
rgb
=
new
float
[]{(
float
)
red
(
color
)
/
255.0f
,
(
float
)
green
(
color
)
/
255.0f
,
float
[]
rgb
=
new
float
[]{(
float
)
red
(
color
)
/
255.0f
,
(
float
)
green
(
color
)
/
255.0f
,
(
float
)
blue
(
color
)
/
255.0f
};
(
float
)
blue
(
color
)
/
255.0f
};
inputData
[
i
]
=
(
rgb
[
channelIdx
[
0
]]
-
inputMean
[
0
])
/
inputStd
[
0
];
inputData
[
i
]
=
(
rgb
[
channelIdx
[
0
]]
-
inputMean
[
0
])
/
inputStd
[
0
];
inputData
[
i
+
channelStride
[
0
]]
=
(
rgb
[
channelIdx
[
1
]]
-
inputMean
[
1
])
/
inputStd
[
1
];
inputData
[
i
+
channelStride
[
0
]]
=
(
rgb
[
channelIdx
[
1
]]
-
inputMean
[
1
])
/
inputStd
[
1
];
inputData
[
i
+
channelStride
[
1
]]
=
(
rgb
[
channelIdx
[
2
]]
-
inputMean
[
2
])
/
inputStd
[
2
];
inputData
[
i
+
channelStride
[
1
]]
=
(
rgb
[
channelIdx
[
2
]]
-
inputMean
[
2
])
/
inputStd
[
2
];
}
}
}
else
if
(
channels
==
1
)
{
}
else
if
(
channels
==
1
)
{
int
[]
pixels
=
new
int
[
width
*
height
];
int
[]
pixels
=
new
int
[
width
*
height
];
scaleImage
.
getPixels
(
pixels
,
0
,
scaleImage
.
getWidth
(),
0
,
0
,
scaleImage
.
getWidth
(),
scaleImage
.
getHeight
());
scaleImage
.
getPixels
(
pixels
,
0
,
scaleImage
.
getWidth
(),
0
,
0
,
scaleImage
.
getWidth
(),
scaleImage
.
getHeight
());
for
(
int
i
=
0
;
i
<
pixels
.
length
;
i
++)
{
for
(
int
i
=
0
;
i
<
pixels
.
length
;
i
++)
{
int
color
=
pixels
[
i
];
int
color
=
pixels
[
i
];
float
gray
=
(
float
)
(
red
(
color
)
+
green
(
color
)
+
blue
(
color
))
/
3.0f
/
255.0f
;
float
gray
=
(
float
)
(
red
(
color
)
+
green
(
color
)
+
blue
(
color
))
/
3.0f
/
255.0f
;
...
...
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