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PaddleClas
提交 c40ce17a 编写于 作者: jm_12138's avatar jm_12138
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update the configs of models

上级 33e2c673
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Showing with 53 addition and 53 deletion
ppcls/configs/ImageNet/RedNet/RedNet101.yaml
浏览文件 @ c40ce17a
......@@ -55,9 +55,9 @@ DataLoader:
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
......@@ -81,9 +81,9 @@ DataLoader:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
name: DistributedBatchSampler
......@@ -106,9 +106,9 @@ Infer:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
- ToCHWImage:
PostProcess:
......
ppcls/configs/ImageNet/RedNet/RedNet152.yaml
浏览文件 @ c40ce17a
......@@ -55,9 +55,9 @@ DataLoader:
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
......@@ -81,9 +81,9 @@ DataLoader:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
name: DistributedBatchSampler
......@@ -106,9 +106,9 @@ Infer:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
- ToCHWImage:
PostProcess:
......
ppcls/configs/ImageNet/RedNet/RedNet26.yaml
浏览文件 @ c40ce17a
......@@ -55,9 +55,9 @@ DataLoader:
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
......@@ -81,9 +81,9 @@ DataLoader:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
name: DistributedBatchSampler
......@@ -106,9 +106,9 @@ Infer:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
- ToCHWImage:
PostProcess:
......
ppcls/configs/ImageNet/RedNet/RedNet38.yaml
浏览文件 @ c40ce17a
......@@ -55,9 +55,9 @@ DataLoader:
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
......@@ -81,9 +81,9 @@ DataLoader:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
name: DistributedBatchSampler
......@@ -106,9 +106,9 @@ Infer:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
- ToCHWImage:
PostProcess:
......
ppcls/configs/ImageNet/RedNet/RedNet50.yaml
浏览文件 @ c40ce17a
......@@ -55,9 +55,9 @@ DataLoader:
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
......@@ -81,9 +81,9 @@ DataLoader:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
sampler:
name: DistributedBatchSampler
......@@ -106,9 +106,9 @@ Infer:
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
scale: 1.0
mean: [123.675, 116.28, 103.53]
std: [58.395, 57.12, 57.375]
order: ''
- ToCHWImage:
PostProcess:
......
ppcls/configs/ImageNet/TNT/TNT_small.yaml
浏览文件 @ c40ce17a
......@@ -56,8 +56,8 @@ DataLoader:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: ''
sampler:
......@@ -77,13 +77,13 @@ DataLoader:
cls_label_path: ./dataset/ILSVRC2012/val_list.txt
transform_ops:
- ResizeImage:
resize_short: 256
resize_short: 248
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: ''
sampler:
name: DistributedBatchSampler
......@@ -102,13 +102,13 @@ Infer:
to_rgb: True
channel_first: False
- ResizeImage:
resize_short: 256
resize_short: 248
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: ''
- ToCHWImage:
PostProcess:
......
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