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submodule
opencv
Commits
bb91e699
Commit
bb91e699
authored
Jan 20, 2020
by
Liubov Batanina
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Fix demo
parent
ea31a14c
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4 deletions
+2
-4
human_parsing.py
samples/dnn/human_parsing.py
+2
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samples/dnn/human_parsing.py
View file @
bb91e699
...
...
@@ -3,8 +3,7 @@ import numpy as np
import
argparse
backends
=
(
cv
.
dnn
.
DNN_BACKEND_DEFAULT
,
cv
.
dnn
.
DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019
,
cv
.
dnn
.
DNN_BACKEND_INFERENCE_ENGINE_NGRAPH
,
cv
.
dnn
.
DNN_BACKEND_OPENCV
)
backends
=
(
cv
.
dnn
.
DNN_BACKEND_DEFAULT
,
cv
.
dnn
.
DNN_BACKEND_INFERENCE_ENGINE
,
cv
.
dnn
.
DNN_BACKEND_OPENCV
)
targets
=
(
cv
.
dnn
.
DNN_TARGET_CPU
,
cv
.
dnn
.
DNN_TARGET_OPENCL
,
cv
.
dnn
.
DNN_TARGET_OPENCL_FP16
,
cv
.
dnn
.
DNN_TARGET_MYRIAD
)
parser
=
argparse
.
ArgumentParser
(
description
=
'Use this script to run human parsing using JPPNet'
,
...
...
@@ -14,7 +13,6 @@ parser.add_argument('--model', '-m', required=True, help='Path to pb model.')
parser
.
add_argument
(
'--backend'
,
choices
=
backends
,
default
=
cv
.
dnn
.
DNN_BACKEND_DEFAULT
,
type
=
int
,
help
=
"Choose one of computation backends: "
"
%
d: automatically (by default), "
"
%
d: Halide language (http://halide-lang.org/), "
"
%
d: Intel's Deep Learning Inference Engine (https://software.intel.com/openvino-toolkit), "
"
%
d: OpenCV implementation"
%
backends
)
parser
.
add_argument
(
'--target'
,
choices
=
targets
,
default
=
cv
.
dnn
.
DNN_TARGET_CPU
,
type
=
int
,
...
...
@@ -23,6 +21,7 @@ parser.add_argument('--target', choices=targets, default=cv.dnn.DNN_TARGET_CPU,
'
%
d: OpenCL, '
'
%
d: OpenCL fp16 (half-float precision), '
'
%
d: VPU'
%
targets
)
args
,
_
=
parser
.
parse_known_args
()
# To get pre-trained model download https://drive.google.com/file/d/1BFVXgeln-bek8TCbRjN6utPAgRE0LJZg/view
# For correct convert .meta to .pb model download original repository https://github.com/Engineering-Course/LIP_JPPNet
...
...
@@ -165,7 +164,6 @@ def parse_human(image_path, model_path, backend, target):
if
__name__
==
'__main__'
:
args
,
_
=
parser
.
parse_known_args
()
output
=
parse_human
(
args
.
input
,
args
.
model
,
args
.
backend
,
args
.
target
)
winName
=
'Deep learning human parsing in OpenCV'
cv
.
namedWindow
(
winName
,
cv
.
WINDOW_AUTOSIZE
)
...
...
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