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b20b27f0
编写于
4月 15, 2019
作者:
D
dengkaipeng
浏览文件
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电子邮件补丁
差异文件
fix yolov3_loss param name. test=develop
上级
361c0ebe
变更
1
显示空白变更内容
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1 changed file
with
17 addition
and
17 deletion
+17
-17
python/paddle/fluid/layers/detection.py
python/paddle/fluid/layers/detection.py
+17
-17
未找到文件。
python/paddle/fluid/layers/detection.py
浏览文件 @
b20b27f0
...
@@ -509,14 +509,14 @@ def polygon_box_transform(input, name=None):
...
@@ -509,14 +509,14 @@ def polygon_box_transform(input, name=None):
@
templatedoc
(
op_type
=
"yolov3_loss"
)
@
templatedoc
(
op_type
=
"yolov3_loss"
)
def
yolov3_loss
(
x
,
def
yolov3_loss
(
x
,
gtbox
,
gt
_
box
,
gtlabel
,
gt
_
label
,
anchors
,
anchors
,
anchor_mask
,
anchor_mask
,
class_num
,
class_num
,
ignore_thresh
,
ignore_thresh
,
downsample_ratio
,
downsample_ratio
,
gtscore
=
None
,
gt
_
score
=
None
,
use_label_smooth
=
True
,
use_label_smooth
=
True
,
name
=
None
):
name
=
None
):
"""
"""
...
@@ -524,12 +524,12 @@ def yolov3_loss(x,
...
@@ -524,12 +524,12 @@ def yolov3_loss(x,
Args:
Args:
x (Variable): ${x_comment}
x (Variable): ${x_comment}
gtbox (Variable): groud truth boxes, should be in shape of [N, B, 4],
gt
_
box (Variable): groud truth boxes, should be in shape of [N, B, 4],
in the third dimenstion, x, y, w, h should be stored
in the third dimenstion, x, y, w, h should be stored
and x, y, w, h should be relative value of input image.
and x, y, w, h should be relative value of input image.
N is the batch number and B is the max box number in
N is the batch number and B is the max box number in
an image.
an image.
gtlabel (Variable): class id of ground truth boxes, shoud be in shape
gt
_
label (Variable): class id of ground truth boxes, shoud be in shape
of [N, B].
of [N, B].
anchors (list|tuple): ${anchors_comment}
anchors (list|tuple): ${anchors_comment}
anchor_mask (list|tuple): ${anchor_mask_comment}
anchor_mask (list|tuple): ${anchor_mask_comment}
...
@@ -537,7 +537,7 @@ def yolov3_loss(x,
...
@@ -537,7 +537,7 @@ def yolov3_loss(x,
ignore_thresh (float): ${ignore_thresh_comment}
ignore_thresh (float): ${ignore_thresh_comment}
downsample_ratio (int): ${downsample_ratio_comment}
downsample_ratio (int): ${downsample_ratio_comment}
name (string): the name of yolov3 loss. Default None.
name (string): the name of yolov3 loss. Default None.
gtscore (Variable): mixup score of ground truth boxes, shoud be in shape
gt
_
score (Variable): mixup score of ground truth boxes, shoud be in shape
of [N, B]. Default None.
of [N, B]. Default None.
use_label_smooth (bool): ${use_label_smooth_comment}
use_label_smooth (bool): ${use_label_smooth_comment}
...
@@ -558,13 +558,13 @@ def yolov3_loss(x,
...
@@ -558,13 +558,13 @@ def yolov3_loss(x,
.. code-block:: python
.. code-block:: python
x = fluid.layers.data(name='x', shape=[255, 13, 13], dtype='float32')
x = fluid.layers.data(name='x', shape=[255, 13, 13], dtype='float32')
gt
box = fluid.layers.data(name='gt
box', shape=[6, 4], dtype='float32')
gt
_box = fluid.layers.data(name='gt_
box', shape=[6, 4], dtype='float32')
gt
label = fluid.layers.data(name='gt
label', shape=[6], dtype='int32')
gt
_label = fluid.layers.data(name='gt_
label', shape=[6], dtype='int32')
gt
score = fluid.layers.data(name='gt
score', shape=[6], dtype='float32')
gt
_score = fluid.layers.data(name='gt_
score', shape=[6], dtype='float32')
anchors = [10, 13, 16, 30, 33, 23, 30, 61, 62, 45, 59, 119, 116, 90, 156, 198, 373, 326]
anchors = [10, 13, 16, 30, 33, 23, 30, 61, 62, 45, 59, 119, 116, 90, 156, 198, 373, 326]
anchor_mask = [0, 1, 2]
anchor_mask = [0, 1, 2]
loss = fluid.layers.yolov3_loss(x=x, gt
box=gtbox, gtlabel=gt
label,
loss = fluid.layers.yolov3_loss(x=x, gt
_box=gt_box, gt_label=gt_
label,
gt
score=gt
score, anchors=anchors,
gt
_score=gt_
score, anchors=anchors,
anchor_mask=anchor_mask, class_num=80,
anchor_mask=anchor_mask, class_num=80,
ignore_thresh=0.7, downsample_ratio=32)
ignore_thresh=0.7, downsample_ratio=32)
"""
"""
...
@@ -572,11 +572,11 @@ def yolov3_loss(x,
...
@@ -572,11 +572,11 @@ def yolov3_loss(x,
if
not
isinstance
(
x
,
Variable
):
if
not
isinstance
(
x
,
Variable
):
raise
TypeError
(
"Input x of yolov3_loss must be Variable"
)
raise
TypeError
(
"Input x of yolov3_loss must be Variable"
)
if
not
isinstance
(
gtbox
,
Variable
):
if
not
isinstance
(
gt
_
box
,
Variable
):
raise
TypeError
(
"Input gtbox of yolov3_loss must be Variable"
)
raise
TypeError
(
"Input gtbox of yolov3_loss must be Variable"
)
if
not
isinstance
(
gtlabel
,
Variable
):
if
not
isinstance
(
gt
_
label
,
Variable
):
raise
TypeError
(
"Input gtlabel of yolov3_loss must be Variable"
)
raise
TypeError
(
"Input gtlabel of yolov3_loss must be Variable"
)
if
gt
score
is
not
None
and
not
isinstance
(
gt
score
,
Variable
):
if
gt
_score
is
not
None
and
not
isinstance
(
gt_
score
,
Variable
):
raise
TypeError
(
"Input gtscore of yolov3_loss must be Variable"
)
raise
TypeError
(
"Input gtscore of yolov3_loss must be Variable"
)
if
not
isinstance
(
anchors
,
list
)
and
not
isinstance
(
anchors
,
tuple
):
if
not
isinstance
(
anchors
,
list
)
and
not
isinstance
(
anchors
,
tuple
):
raise
TypeError
(
"Attr anchors of yolov3_loss must be list or tuple"
)
raise
TypeError
(
"Attr anchors of yolov3_loss must be list or tuple"
)
...
@@ -602,11 +602,11 @@ def yolov3_loss(x,
...
@@ -602,11 +602,11 @@ def yolov3_loss(x,
inputs
=
{
inputs
=
{
"X"
:
x
,
"X"
:
x
,
"GTBox"
:
gtbox
,
"GTBox"
:
gt
_
box
,
"GTLabel"
:
gtlabel
,
"GTLabel"
:
gt
_
label
,
}
}
if
gtscore
:
if
gtscore
:
inputs
[
"GTScore"
]
=
gtscore
inputs
[
"GTScore"
]
=
gt
_
score
attrs
=
{
attrs
=
{
"anchors"
:
anchors
,
"anchors"
:
anchors
,
...
...
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