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PaddleDetection
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20ca4cc3
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PaddleDetection
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20ca4cc3
编写于
9月 05, 2019
作者:
K
Kaipeng Deng
提交者:
GitHub
9月 05, 2019
浏览文件
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电子邮件补丁
差异文件
fix add map_type (#3273)
* fix add map_type
上级
e9dea08b
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
8 addition
and
2 deletion
+8
-2
tools/configure.py
tools/configure.py
+1
-0
tools/eval.py
tools/eval.py
+3
-1
tools/train.py
tools/train.py
+4
-1
未找到文件。
tools/configure.py
浏览文件 @
20ca4cc3
...
@@ -35,6 +35,7 @@ MISC_CONFIG = {
...
@@ -35,6 +35,7 @@ MISC_CONFIG = {
"save_dir"
:
"<value>"
,
"save_dir"
:
"<value>"
,
"weights"
:
"<value>"
,
"weights"
:
"<value>"
,
"metric"
:
"<value>"
,
"metric"
:
"<value>"
,
"map_type"
:
"11point"
,
"log_smooth_window"
:
20
,
"log_smooth_window"
:
20
,
"snapshot_iter"
:
10000
,
"snapshot_iter"
:
10000
,
"use_gpu"
:
True
,
"use_gpu"
:
True
,
...
...
tools/eval.py
浏览文件 @
20ca4cc3
...
@@ -136,8 +136,10 @@ def main():
...
@@ -136,8 +136,10 @@ def main():
resolution
=
None
resolution
=
None
if
'mask'
in
results
[
0
]:
if
'mask'
in
results
[
0
]:
resolution
=
model
.
mask_head
.
resolution
resolution
=
model
.
mask_head
.
resolution
# if map_type not set, use default 11point, only use in VOC eval
map_type
=
cfg
.
map_type
if
'map_type'
in
cfg
else
'11point'
eval_results
(
results
,
eval_feed
,
cfg
.
metric
,
cfg
.
num_classes
,
resolution
,
eval_results
(
results
,
eval_feed
,
cfg
.
metric
,
cfg
.
num_classes
,
resolution
,
is_bbox_normalized
,
FLAGS
.
output_eval
,
cfg
.
map_type
)
is_bbox_normalized
,
FLAGS
.
output_eval
,
map_type
)
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
...
...
tools/train.py
浏览文件 @
20ca4cc3
...
@@ -163,6 +163,9 @@ def main():
...
@@ -163,6 +163,9 @@ def main():
callable
(
model
.
is_bbox_normalized
):
callable
(
model
.
is_bbox_normalized
):
is_bbox_normalized
=
model
.
is_bbox_normalized
()
is_bbox_normalized
=
model
.
is_bbox_normalized
()
# if map_type not set, use default 11point, only use in VOC eval
map_type
=
cfg
.
map_type
if
'map_type'
in
cfg
else
'11point'
train_stats
=
TrainingStats
(
cfg
.
log_smooth_window
,
train_keys
)
train_stats
=
TrainingStats
(
cfg
.
log_smooth_window
,
train_keys
)
train_pyreader
.
start
()
train_pyreader
.
start
()
start_time
=
time
.
time
()
start_time
=
time
.
time
()
...
@@ -200,7 +203,7 @@ def main():
...
@@ -200,7 +203,7 @@ def main():
if
'mask'
in
results
[
0
]:
if
'mask'
in
results
[
0
]:
resolution
=
model
.
mask_head
.
resolution
resolution
=
model
.
mask_head
.
resolution
box_ap_stats
=
eval_results
(
results
,
eval_feed
,
cfg
.
metric
,
cfg
.
num_classes
,
box_ap_stats
=
eval_results
(
results
,
eval_feed
,
cfg
.
metric
,
cfg
.
num_classes
,
resolution
,
is_bbox_normalized
,
FLAGS
.
output_eval
)
resolution
,
is_bbox_normalized
,
FLAGS
.
output_eval
,
map_type
)
if
box_ap_stats
[
0
]
>
best_box_ap_list
[
0
]:
if
box_ap_stats
[
0
]
>
best_box_ap_list
[
0
]:
best_box_ap_list
[
0
]
=
box_ap_stats
[
0
]
best_box_ap_list
[
0
]
=
box_ap_stats
[
0
]
best_box_ap_list
[
1
]
=
it
best_box_ap_list
[
1
]
=
it
...
...
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