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ModelZoo
SOLOv2-pytorch
Commits
87d9ca49
"vscode:/vscode.git/clone" did not exist on "8b8df250b315afba0fe68c2a78f1782df90ef160"
Unverified
Commit
87d9ca49
authored
Aug 08, 2019
by
Kai Chen
Committed by
GitHub
Aug 08, 2019
Browse files
add webcam demo (#1150)
parent
cd6d617e
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GETTING_STARTED.md
GETTING_STARTED.md
+16
-1
tools/webcam_demo.py
tools/webcam_demo.py
+38
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GETTING_STARTED.md
View file @
87d9ca49
...
@@ -57,7 +57,22 @@ python tools/test.py configs/mask_rcnn_r50_fpn_1x.py \
...
@@ -57,7 +57,22 @@ python tools/test.py configs/mask_rcnn_r50_fpn_1x.py \
8
--out
results.pkl
--eval
bbox segm
8
--out
results.pkl
--eval
bbox segm
```
```
### High-level APIs for testing images.
### Webcam demo
We provide a webcam demo to illustrate the results.
```
shell
python tools/webcam_demo.py
${
CONFIG_FILE
}
${
CHECKPOINT_FILE
}
[
--device
${
GPU_ID
}
]
[
--camera-id
${
CAMERA
-ID
}
]
[
--score-thr
${
CAMERA
-ID
}
]
```
Examples:
```
shell
python tools/webcam_demo.py configs/faster_rcnn_r50_fpn_1x.py
\
checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth
```
### High-level APIs for testing images
Here is an example of building the model and test given images.
Here is an example of building the model and test given images.
...
...
tools/webcam_demo.py
0 → 100644
View file @
87d9ca49
import
argparse
import
cv2
import
torch
from
mmdet.apis
import
inference_detector
,
init_detector
,
show_result
def
parse_args
():
parser
=
argparse
.
ArgumentParser
(
description
=
'MMDetection webcam demo'
)
parser
.
add_argument
(
'config'
,
help
=
'test config file path'
)
parser
.
add_argument
(
'checkpoint'
,
help
=
'checkpoint file'
)
parser
.
add_argument
(
'--device'
,
type
=
int
,
default
=
0
,
help
=
'CUDA device id'
)
parser
.
add_argument
(
'--camera-id'
,
type
=
int
,
default
=
0
,
help
=
'camera device id'
)
parser
.
add_argument
(
'--score-thr'
,
type
=
float
,
default
=
0.5
,
help
=
'bbox score threshold'
)
args
=
parser
.
parse_args
()
return
args
def
main
():
args
=
parse_args
()
model
=
init_detector
(
args
.
config
,
args
.
checkpoint
,
device
=
torch
.
device
(
'cuda'
,
args
.
device
))
camera
=
cv2
.
VideoCapture
(
args
.
camera_id
)
while
True
:
ret_val
,
img
=
camera
.
read
()
result
=
inference_detector
(
model
,
img
)
show_result
(
img
,
result
,
model
.
CLASSES
,
score_thr
=
args
.
score_thr
,
wait_time
=
1
)
if
__name__
==
'__main__'
:
main
()
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