提交 e1b39945 编写于 作者: W WenmuZhou

注释更改为英文

上级 bbe37535
......@@ -22,9 +22,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
# name: Cosine
lr: 0.001
# warmup_epoch: 0
regularizer:
name: 'L2'
factor: 0
......@@ -98,7 +96,7 @@ TRAIN:
order: 'hwc'
- ToCHWImage:
- keepKeys:
keep_keys: ['image','threshold_map','threshold_mask','shrink_map','shrink_mask'] # dataloader将按照此顺序返回list
keep_keys: ['image','threshold_map','threshold_mask','shrink_map','shrink_mask'] # dataloader will return list in this order
loader:
shuffle: True
drop_last: False
......
......@@ -22,9 +22,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
# name: Cosine
lr: 0.001
# warmup_epoch: 0
regularizer:
name: 'L2'
factor: 0
......@@ -97,7 +95,7 @@ TRAIN:
order: 'hwc'
- ToCHWImage:
- keepKeys:
keep_keys: ['image','threshold_map','threshold_mask','shrink_map','shrink_mask'] # dataloader将按照此顺序返回list
keep_keys: ['image','threshold_map','threshold_mask','shrink_map','shrink_mask'] # dataloader will return list in this order
loader:
shuffle: True
drop_last: False
......
......@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
name: Cosine
lr: 0.001
warmup_epoch: 4
regularizer:
name: 'L2'
factor: 0.00001
......@@ -79,7 +77,7 @@ TRAIN:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
batch_size: 256
shuffle: True
......@@ -100,7 +98,7 @@ EVAL:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
shuffle: False
drop_last: False
......
......@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
name: Cosine
lr: 0.0005
warmup_epoch: 1
regularizer:
name: 'L2'
factor: 0.00001
......@@ -78,7 +76,7 @@ TRAIN:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
batch_size: 256
shuffle: True
......@@ -98,7 +96,7 @@ EVAL:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
shuffle: False
drop_last: False
......
......@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
# name: Cosine
lr: 0.0005
# warmup_epoch: 1
regularizer:
name: 'L2'
factor: 0.00001
......@@ -77,7 +75,7 @@ TRAIN:
- RecResizeImg:
image_shape: [ 3,32,100 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
batch_size: 256
shuffle: True
......@@ -97,7 +95,7 @@ EVAL:
- RecResizeImg:
image_shape: [ 3,32,100 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
shuffle: False
drop_last: False
......
......@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
name: Cosine
lr: 0.001
warmup_epoch: 4
regularizer:
name: 'L2'
factor: 0.00001
......@@ -77,7 +75,7 @@ TRAIN:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
batch_size: 256
shuffle: True
......@@ -98,7 +96,7 @@ EVAL:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
shuffle: False
drop_last: False
......
......@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9
beta2: 0.999
learning_rate:
name: Cosine
lr: 0.001
warmup_epoch: 4
regularizer:
name: 'L2'
factor: 0.00001
......@@ -76,7 +74,7 @@ TRAIN:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
batch_size: 256
shuffle: True
......@@ -97,7 +95,7 @@ EVAL:
- RecResizeImg:
image_shape: [ 3,32,320 ]
- keepKeys:
keep_keys: [ 'image','label','length' ] # dataloader将按照此顺序返回list
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
loader:
shuffle: False
drop_last: False
......
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