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PaddleDetection
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32edc345
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PaddleDetection
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32edc345
编写于
1月 29, 2021
作者:
F
Feng Ni
提交者:
GitHub
1月 29, 2021
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差异文件
[Dygraph] fix load_weight and no bbox output (#2135)
* fix load_weight and no bbox output
上级
f87637de
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
22 addition
and
2 deletion
+22
-2
dygraph/ppdet/modeling/post_process.py
dygraph/ppdet/modeling/post_process.py
+3
-1
dygraph/ppdet/utils/checkpoint.py
dygraph/ppdet/utils/checkpoint.py
+19
-1
未找到文件。
dygraph/ppdet/modeling/post_process.py
浏览文件 @
32edc345
...
@@ -50,7 +50,9 @@ class BBoxPostProcess(object):
...
@@ -50,7 +50,9 @@ class BBoxPostProcess(object):
including labels, scores and bboxes. The size of
including labels, scores and bboxes. The size of
bboxes are corresponding to the original image.
bboxes are corresponding to the original image.
"""
"""
assert
bboxes
.
shape
[
0
]
>
0
,
'There is no detection output'
if
bboxes
.
shape
[
0
]
==
0
:
return
paddle
.
to_tensor
([[
0
,
0.0
,
0.0
,
0.0
,
0.0
,
0.0
]])
origin_shape
=
paddle
.
floor
(
im_shape
/
scale_factor
+
0.5
)
origin_shape
=
paddle
.
floor
(
im_shape
/
scale_factor
+
0.5
)
origin_shape_list
=
[]
origin_shape_list
=
[]
...
...
dygraph/ppdet/utils/checkpoint.py
浏览文件 @
32edc345
...
@@ -91,7 +91,25 @@ def load_weight(model, weight, optimizer=None):
...
@@ -91,7 +91,25 @@ def load_weight(model, weight, optimizer=None):
"exists."
.
format
(
pdparam_path
))
"exists."
.
format
(
pdparam_path
))
param_state_dict
=
paddle
.
load
(
pdparam_path
)
param_state_dict
=
paddle
.
load
(
pdparam_path
)
model
.
set_dict
(
param_state_dict
)
model_dict
=
model
.
state_dict
()
model_weight
=
{}
incorrect_keys
=
0
for
key
in
model_dict
.
keys
():
if
key
in
param_state_dict
.
keys
():
model_weight
[
key
]
=
param_state_dict
[
key
]
else
:
logger
.
info
(
'Unmatched key: {}'
.
format
(
key
))
incorrect_keys
+=
1
assert
incorrect_keys
==
0
,
"Load weight {} incorrectly,
\
{} keys unmatched, please check again."
.
format
(
weight
,
incorrect_keys
)
logger
.
info
(
'Finish loading model weight parameter: {}'
.
format
(
pdparam_path
))
model
.
set_dict
(
model_weight
)
last_epoch
=
0
last_epoch
=
0
if
optimizer
is
not
None
and
os
.
path
.
exists
(
path
+
'.pdopt'
):
if
optimizer
is
not
None
and
os
.
path
.
exists
(
path
+
'.pdopt'
):
...
...
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