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: ...@@ -22,9 +22,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
# name: Cosine
lr: 0.001 lr: 0.001
# warmup_epoch: 0
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0 factor: 0
...@@ -98,7 +96,7 @@ TRAIN: ...@@ -98,7 +96,7 @@ TRAIN:
order: 'hwc' order: 'hwc'
- ToCHWImage: - ToCHWImage:
- keepKeys: - 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: loader:
shuffle: True shuffle: True
drop_last: False drop_last: False
......
...@@ -22,9 +22,7 @@ Optimizer: ...@@ -22,9 +22,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
# name: Cosine
lr: 0.001 lr: 0.001
# warmup_epoch: 0
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0 factor: 0
...@@ -97,7 +95,7 @@ TRAIN: ...@@ -97,7 +95,7 @@ TRAIN:
order: 'hwc' order: 'hwc'
- ToCHWImage: - ToCHWImage:
- keepKeys: - 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: loader:
shuffle: True shuffle: True
drop_last: False drop_last: False
......
...@@ -29,9 +29,7 @@ Optimizer: ...@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
name: Cosine
lr: 0.001 lr: 0.001
warmup_epoch: 4
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0.00001 factor: 0.00001
...@@ -79,7 +77,7 @@ TRAIN: ...@@ -79,7 +77,7 @@ TRAIN:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
batch_size: 256 batch_size: 256
shuffle: True shuffle: True
...@@ -100,7 +98,7 @@ EVAL: ...@@ -100,7 +98,7 @@ EVAL:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
shuffle: False shuffle: False
drop_last: False drop_last: False
......
...@@ -29,9 +29,7 @@ Optimizer: ...@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
name: Cosine
lr: 0.0005 lr: 0.0005
warmup_epoch: 1
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0.00001 factor: 0.00001
...@@ -78,7 +76,7 @@ TRAIN: ...@@ -78,7 +76,7 @@ TRAIN:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
batch_size: 256 batch_size: 256
shuffle: True shuffle: True
...@@ -98,7 +96,7 @@ EVAL: ...@@ -98,7 +96,7 @@ EVAL:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
shuffle: False shuffle: False
drop_last: False drop_last: False
......
...@@ -29,9 +29,7 @@ Optimizer: ...@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
# name: Cosine
lr: 0.0005 lr: 0.0005
# warmup_epoch: 1
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0.00001 factor: 0.00001
...@@ -77,7 +75,7 @@ TRAIN: ...@@ -77,7 +75,7 @@ TRAIN:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,100 ] image_shape: [ 3,32,100 ]
- keepKeys: - 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: loader:
batch_size: 256 batch_size: 256
shuffle: True shuffle: True
...@@ -97,7 +95,7 @@ EVAL: ...@@ -97,7 +95,7 @@ EVAL:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,100 ] image_shape: [ 3,32,100 ]
- keepKeys: - 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: loader:
shuffle: False shuffle: False
drop_last: False drop_last: False
......
...@@ -29,9 +29,7 @@ Optimizer: ...@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
name: Cosine
lr: 0.001 lr: 0.001
warmup_epoch: 4
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0.00001 factor: 0.00001
...@@ -77,7 +75,7 @@ TRAIN: ...@@ -77,7 +75,7 @@ TRAIN:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
batch_size: 256 batch_size: 256
shuffle: True shuffle: True
...@@ -98,7 +96,7 @@ EVAL: ...@@ -98,7 +96,7 @@ EVAL:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
shuffle: False shuffle: False
drop_last: False drop_last: False
......
...@@ -29,9 +29,7 @@ Optimizer: ...@@ -29,9 +29,7 @@ Optimizer:
beta1: 0.9 beta1: 0.9
beta2: 0.999 beta2: 0.999
learning_rate: learning_rate:
name: Cosine
lr: 0.001 lr: 0.001
warmup_epoch: 4
regularizer: regularizer:
name: 'L2' name: 'L2'
factor: 0.00001 factor: 0.00001
...@@ -76,7 +74,7 @@ TRAIN: ...@@ -76,7 +74,7 @@ TRAIN:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
batch_size: 256 batch_size: 256
shuffle: True shuffle: True
...@@ -97,7 +95,7 @@ EVAL: ...@@ -97,7 +95,7 @@ EVAL:
- RecResizeImg: - RecResizeImg:
image_shape: [ 3,32,320 ] image_shape: [ 3,32,320 ]
- keepKeys: - 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: loader:
shuffle: False shuffle: False
drop_last: False drop_last: False
......
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