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8e13eedb
编写于
3年前
作者:
W
wangguanzhong
提交者:
GitHub
3年前
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差异文件
[MOT] update window timer for pptracking (#4527)
* update window timer for pptracking * keep origin mp4v format
上级
94c19353
thinkthinking-patch-1
develop
niu_fair_mort_prof
onnx_trt
owl-vit
release/2.4
release/2.5
release/2.6
release/2.6.1
revert-6901-fix_vit_faster_hang_L
2.5.0
v2.6.0
v2.5.0
v2.4.0
无相关合并请求
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
14 addition
and
18 deletion
+14
-18
deploy/pptracking/python/mot/utils.py
deploy/pptracking/python/mot/utils.py
+6
-12
deploy/pptracking/python/mot_jde_infer.py
deploy/pptracking/python/mot_jde_infer.py
+4
-3
deploy/pptracking/python/mot_sde_infer.py
deploy/pptracking/python/mot_sde_infer.py
+4
-3
未找到文件。
deploy/pptracking/python/mot/utils.py
浏览文件 @
8e13eedb
...
...
@@ -17,6 +17,7 @@ import cv2
import
time
import
paddle
import
numpy
as
np
import
collections
__all__
=
[
'MOTTimer'
,
'Detection'
,
'write_mot_results'
,
'load_det_results'
,
...
...
@@ -29,13 +30,11 @@ class MOTTimer(object):
This class used to compute and print the current FPS while evaling.
"""
def
__init__
(
self
):
self
.
total_time
=
0.
self
.
calls
=
0
def
__init__
(
self
,
window_size
=
20
):
self
.
start_time
=
0.
self
.
diff
=
0.
self
.
average_time
=
0.
self
.
duration
=
0.
self
.
deque
=
collections
.
deque
(
maxlen
=
window_size
)
def
tic
(
self
):
# using time.time instead of time.clock because time time.clock
...
...
@@ -44,21 +43,16 @@ class MOTTimer(object):
def
toc
(
self
,
average
=
True
):
self
.
diff
=
time
.
time
()
-
self
.
start_time
self
.
total_time
+=
self
.
diff
self
.
calls
+=
1
self
.
average_time
=
self
.
total_time
/
self
.
calls
self
.
deque
.
append
(
self
.
diff
)
if
average
:
self
.
duration
=
self
.
average_time
self
.
duration
=
np
.
mean
(
self
.
deque
)
else
:
self
.
duration
=
self
.
diff
self
.
duration
=
np
.
sum
(
self
.
deque
)
return
self
.
duration
def
clear
(
self
):
self
.
total_time
=
0.
self
.
calls
=
0
self
.
start_time
=
0.
self
.
diff
=
0.
self
.
average_time
=
0.
self
.
duration
=
0.
...
...
This diff is collapsed.
Click to expand it.
deploy/pptracking/python/mot_jde_infer.py
浏览文件 @
8e13eedb
...
...
@@ -211,7 +211,8 @@ def predict_video(detector, camera_id):
os
.
makedirs
(
FLAGS
.
output_dir
)
out_path
=
os
.
path
.
join
(
FLAGS
.
output_dir
,
video_name
)
if
not
FLAGS
.
save_images
:
fourcc
=
cv2
.
VideoWriter_fourcc
(
*
'mp4v'
)
video_format
=
'mp4v'
fourcc
=
cv2
.
VideoWriter_fourcc
(
*
video_format
)
writer
=
cv2
.
VideoWriter
(
out_path
,
fourcc
,
fps
,
(
width
,
height
))
frame_id
=
0
timer
=
MOTTimer
()
...
...
@@ -243,6 +244,7 @@ def predict_video(detector, camera_id):
results
[
cls_id
].
append
((
frame_id
+
1
,
online_tlwhs
[
cls_id
],
online_scores
[
cls_id
],
online_ids
[
cls_id
]))
fps
=
1.
/
timer
.
duration
# NOTE: just implement flow statistic for one class
if
num_classes
==
1
:
result
=
(
frame_id
+
1
,
online_tlwhs
[
0
],
online_scores
[
0
],
...
...
@@ -262,7 +264,6 @@ def predict_video(detector, camera_id):
raise
NotImplementedError
(
'Multi-class flow counting is not implemented now!'
)
fps
=
1.
/
timer
.
average_time
im
=
plot_tracking_dict
(
frame
,
num_classes
,
...
...
@@ -282,7 +283,7 @@ def predict_video(detector, camera_id):
writer
.
write
(
im
)
frame_id
+=
1
print
(
'detect frame: %d
'
%
(
frame_id
))
print
(
'detect frame: %d
, fps: %f'
%
(
frame_id
,
fps
))
if
camera_id
!=
-
1
:
cv2
.
imshow
(
'Tracking Detection'
,
im
)
if
cv2
.
waitKey
(
1
)
&
0xFF
==
ord
(
'q'
):
...
...
This diff is collapsed.
Click to expand it.
deploy/pptracking/python/mot_sde_infer.py
浏览文件 @
8e13eedb
...
...
@@ -539,7 +539,8 @@ def predict_video(detector, reid_model, camera_id):
os
.
makedirs
(
FLAGS
.
output_dir
)
out_path
=
os
.
path
.
join
(
FLAGS
.
output_dir
,
video_name
)
if
not
FLAGS
.
save_images
:
fourcc
=
cv2
.
VideoWriter_fourcc
(
*
'mp4v'
)
video_format
=
'mp4v'
fourcc
=
cv2
.
VideoWriter_fourcc
(
*
video_format
)
writer
=
cv2
.
VideoWriter
(
out_path
,
fourcc
,
fps
,
(
width
,
height
))
frame_id
=
0
timer
=
MOTTimer
()
...
...
@@ -566,7 +567,7 @@ def predict_video(detector, reid_model, camera_id):
(
frame_id
+
1
,
online_tlwhs
,
online_scores
,
online_ids
))
timer
.
toc
()
fps
=
1.
/
timer
.
average_time
fps
=
1.
/
timer
.
duration
im
=
plot_tracking
(
frame
,
online_tlwhs
,
...
...
@@ -585,7 +586,7 @@ def predict_video(detector, reid_model, camera_id):
writer
.
write
(
im
)
frame_id
+=
1
print
(
'detect frame:%d
'
%
(
frame_id
))
print
(
'detect frame:%d
, fps: %f'
%
(
frame_id
,
fps
))
if
camera_id
!=
-
1
:
cv2
.
imshow
(
'Tracking Detection'
,
im
)
...
...
This diff is collapsed.
Click to expand it.
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