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体验新版 GitCode,发现更多精彩内容 >>
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56e21c55
编写于
1月 28, 2019
作者:
D
dengkaipeng
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add comments and docs. test=develop
上级
577424e5
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
11 addition
and
6 deletion
+11
-6
paddle/fluid/operators/yolov3_loss_op.cc
paddle/fluid/operators/yolov3_loss_op.cc
+6
-1
paddle/fluid/operators/yolov3_loss_op.h
paddle/fluid/operators/yolov3_loss_op.h
+5
-5
未找到文件。
paddle/fluid/operators/yolov3_loss_op.cc
浏览文件 @
56e21c55
...
...
@@ -98,7 +98,7 @@ class Yolov3LossOpMaker : public framework::OpProtoAndCheckerMaker {
"This is a 4-D tensor with shape of [N, C, H, W]."
"H and W should be same, and the second dimention(C) stores"
"box locations, confidence score and classification one-hot"
"key of each anchor box"
);
"key
s
of each anchor box"
);
AddInput
(
"GTBox"
,
"The input tensor of ground truth boxes, "
"This is a 3-D tensor with shape of [N, max_box_num, 5], "
...
...
@@ -179,6 +179,11 @@ class Yolov3LossOpMaker : public framework::OpProtoAndCheckerMaker {
box coordinates (w, h), and sigmoid cross entropy loss is used for box
coordinates (x, y), confidence score loss and classification loss.
Each groud truth box find a best matching anchor box in all anchors,
prediction of this anchor box will incur all three parts of losses, and
prediction of anchor boxes with no GT box matched will only incur objectness
loss.
In order to trade off box coordinate losses between big boxes and small
boxes, box coordinate losses will be mutiplied by scale weight, which is
calculated as follow.
...
...
paddle/fluid/operators/yolov3_loss_op.h
浏览文件 @
56e21c55
...
...
@@ -308,13 +308,15 @@ class Yolov3LossKernel : public framework::OpKernel<T> {
}
}
// If best IoU is greater then ignore_thresh,
// ignore the objectness loss.
if
(
best_iou
>
ignore_thresh
)
{
int
obj_idx
=
(
i
*
mask_num
+
j
)
*
stride
+
k
*
w
+
l
;
obj_mask_data
[
obj_idx
]
=
static_cast
<
T
>
(
-
1
);
}
//
TODO(dengkaipeng):
all losses should be calculated if best IoU
// is bigger then truth thresh
should be calculated here, but
//
currently,
truth thresh is an unreachable value as 1.0.
// all losses should be calculated if best IoU
// is bigger then truth thresh
, but currently,
// truth thresh is an unreachable value as 1.0.
}
}
}
...
...
@@ -341,8 +343,6 @@ class Yolov3LossKernel : public framework::OpKernel<T> {
an_box
.
w
=
anchors
[
2
*
an_idx
]
/
static_cast
<
T
>
(
input_size
);
an_box
.
h
=
anchors
[
2
*
an_idx
+
1
]
/
static_cast
<
T
>
(
input_size
);
float
iou
=
CalcBoxIoU
<
T
>
(
an_box
,
gt_shift
);
// TODO(dengkaipeng): In paper, objectness loss is ignore when
// best IoU > 0.5, but darknet code didn't implement this.
if
(
iou
>
best_iou
)
{
best_iou
=
iou
;
best_n
=
an_idx
;
...
...
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