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8a2367c9
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PaddleDetection
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8a2367c9
编写于
2月 10, 2023
作者:
W
wangguanzhong
提交者:
GitHub
2月 10, 2023
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差异文件
enhance arg overwrite for picodet and ppyoloe (#7720)
上级
e31935c8
变更
14
显示空白变更内容
内联
并排
Showing
14 changed file
with
49 addition
and
49 deletion
+49
-49
configs/datasets/coco_detection.yml
configs/datasets/coco_detection.yml
+13
-13
configs/datasets/coco_instance.yml
configs/datasets/coco_instance.yml
+12
-12
configs/picodet/_base_/optimizer_300e.yml
configs/picodet/_base_/optimizer_300e.yml
+2
-2
configs/picodet/legacy_model/_base_/optimizer_100e.yml
configs/picodet/legacy_model/_base_/optimizer_100e.yml
+2
-2
configs/picodet/legacy_model/_base_/optimizer_300e.yml
configs/picodet/legacy_model/_base_/optimizer_300e.yml
+2
-2
configs/picodet/picodet_l_416_coco_lcnet.yml
configs/picodet/picodet_l_416_coco_lcnet.yml
+2
-2
configs/picodet/picodet_m_320_coco_lcnet.yml
configs/picodet/picodet_m_320_coco_lcnet.yml
+2
-2
configs/picodet/picodet_m_416_coco_lcnet.yml
configs/picodet/picodet_m_416_coco_lcnet.yml
+2
-2
configs/picodet/picodet_xs_416_coco_lcnet.yml
configs/picodet/picodet_xs_416_coco_lcnet.yml
+2
-2
configs/ppyoloe/_base_/optimizer_300e.yml
configs/ppyoloe/_base_/optimizer_300e.yml
+2
-2
configs/ppyoloe/_base_/optimizer_36e_xpu.yml
configs/ppyoloe/_base_/optimizer_36e_xpu.yml
+2
-2
configs/ppyoloe/_base_/optimizer_400e.yml
configs/ppyoloe/_base_/optimizer_400e.yml
+2
-2
configs/ppyoloe/_base_/optimizer_60e.yml
configs/ppyoloe/_base_/optimizer_60e.yml
+2
-2
configs/ppyoloe/_base_/optimizer_80e.yml
configs/ppyoloe/_base_/optimizer_80e.yml
+2
-2
未找到文件。
configs/datasets/coco_detection.yml
浏览文件 @
8a2367c9
...
...
@@ -2,20 +2,20 @@ metric: COCO
num_classes
:
80
TrainDataset
:
!
COCODataSet
name
:
COCODataSet
image_dir
:
train2017
anno_path
:
annotations/instances_train2017.json
dataset_dir
:
dataset/coco
data_fields
:
[
'
image'
,
'
gt_bbox'
,
'
gt_class'
,
'
is_crowd'
]
EvalDataset
:
!
COCODataSet
name
:
COCODataSet
image_dir
:
val2017
anno_path
:
annotations/instances_val2017.json
dataset_dir
:
dataset/coco
allow_empty
:
true
TestDataset
:
!
ImageFolder
name
:
ImageFolder
anno_path
:
annotations/instances_val2017.json
# also support txt (like VOC's label_list.txt)
dataset_dir
:
dataset/coco
# if set, anno_path will be 'dataset_dir/anno_path'
configs/datasets/coco_instance.yml
浏览文件 @
8a2367c9
...
...
@@ -2,19 +2,19 @@ metric: COCO
num_classes
:
80
TrainDataset
:
!
COCODataSet
name
:
COCODataSet
image_dir
:
train2017
anno_path
:
annotations/instances_train2017.json
dataset_dir
:
dataset/coco
data_fields
:
[
'
image'
,
'
gt_bbox'
,
'
gt_class'
,
'
gt_poly'
,
'
is_crowd'
]
EvalDataset
:
!
COCODataSet
name
:
COCODataSet
image_dir
:
val2017
anno_path
:
annotations/instances_val2017.json
dataset_dir
:
dataset/coco
TestDataset
:
!
ImageFolder
name
:
ImageFolder
anno_path
:
annotations/instances_val2017.json
# also support txt (like VOC's label_list.txt)
dataset_dir
:
dataset/coco
# if set, anno_path will be 'dataset_dir/anno_path'
configs/picodet/_base_/optimizer_300e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 300
LearningRate
:
base_lr
:
0.32
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
300
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
...
...
configs/picodet/legacy_model/_base_/optimizer_100e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 100
LearningRate
:
base_lr
:
0.4
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
100
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
...
...
configs/picodet/legacy_model/_base_/optimizer_300e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 300
LearningRate
:
base_lr
:
0.4
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
300
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
...
...
configs/picodet/picodet_l_416_coco_lcnet.yml
浏览文件 @
8a2367c9
...
...
@@ -35,9 +35,9 @@ PicoHeadV2:
LearningRate
:
base_lr
:
0.12
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
300
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
...
...
configs/picodet/picodet_m_320_coco_lcnet.yml
浏览文件 @
8a2367c9
...
...
@@ -18,8 +18,8 @@ TrainReader:
LearningRate
:
base_lr
:
0.24
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
300
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
configs/picodet/picodet_m_416_coco_lcnet.yml
浏览文件 @
8a2367c9
...
...
@@ -18,8 +18,8 @@ TrainReader:
LearningRate
:
base_lr
:
0.24
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
300
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
configs/picodet/picodet_xs_416_coco_lcnet.yml
浏览文件 @
8a2367c9
...
...
@@ -38,8 +38,8 @@ TrainReader:
LearningRate
:
base_lr
:
0.28
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
300
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.1
steps
:
300
configs/ppyoloe/_base_/optimizer_300e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 300
LearningRate
:
base_lr
:
0.01
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
360
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.
epochs
:
5
...
...
configs/ppyoloe/_base_/optimizer_36e_xpu.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 36
LearningRate
:
base_lr
:
0.00125
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
43
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.001
steps
:
2000
...
...
configs/ppyoloe/_base_/optimizer_400e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 400
LearningRate
:
base_lr
:
0.01
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
480
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.
epochs
:
5
...
...
configs/ppyoloe/_base_/optimizer_60e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 60
LearningRate
:
base_lr
:
0.001
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
72
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.
epochs
:
1
...
...
configs/ppyoloe/_base_/optimizer_80e.yml
浏览文件 @
8a2367c9
...
...
@@ -3,9 +3,9 @@ epoch: 80
LearningRate
:
base_lr
:
0.001
schedulers
:
-
!
CosineDecay
-
name
:
CosineDecay
max_epochs
:
96
-
!
LinearWarmup
-
name
:
LinearWarmup
start_factor
:
0.
epochs
:
5
...
...
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