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Merged
merged 14 commits into from
Nov 16, 2021
Merged

Better model checkpoints for various classification models #4900

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e0c17d7
Add new weights for MobileNetV3 Large.
datumbox Nov 10, 2021
dae33e7
Update weights for ResNet101.
datumbox Nov 10, 2021
112f89e
Update weights for ResNet152.
datumbox Nov 10, 2021
a406d17
Update numbers of ResNet101 and ResNet152 with batch size 1.
datumbox Nov 10, 2021
2bbbbbb
Adding new weights for ResNeXt101_32x8d
datumbox Nov 10, 2021
e844cc7
Batch size 1 stats for ResNeXt101_32x8d
datumbox Nov 10, 2021
910b43c
Merge branch 'main' into models/weight_update
datumbox Nov 12, 2021
37e0937
Merge branch 'main' into models/weight_update
datumbox Nov 15, 2021
a0a0e82
Update weights for MobileNetV3 Large.
datumbox Nov 15, 2021
1cf517c
Update weights for ResNeXt50.
datumbox Nov 15, 2021
97ba446
Merge branch 'main' into models/weight_update
datumbox Nov 16, 2021
9b76777
Fix merge issues.
datumbox Nov 16, 2021
30ec7ec
Updating the URLs to indicate the recipe config.
datumbox Nov 16, 2021
fc0227f
Merge branch 'main' into models/weight_update
datumbox Nov 16, 2021
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13 changes: 12 additions & 1 deletion torchvision/prototype/models/mobilenetv3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,6 @@ def _mobilenet_v3(
"size": (224, 224),
"categories": _IMAGENET_CATEGORIES,
"interpolation": InterpolationMode.BILINEAR,
"recipe": "https://github.com/pytorch/vision/tree/main/references/classification#mobilenetv3-large--small",
}


Expand All @@ -51,10 +50,21 @@ class MobileNetV3LargeWeights(Weights):
transforms=partial(ImageNetEval, crop_size=224),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/tree/main/references/classification#mobilenetv3-large--small",
"acc@1": 74.042,
"acc@5": 91.340,
},
)
ImageNet1K_RefV2 = WeightEntry(
url="https://download.pytorch.org/models/mobilenet_v3_large-5c1a4163.pth",
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe-with-reg-tuning",
"acc@1": 75.274,
"acc@5": 92.566,
},
)


class MobileNetV3SmallWeights(Weights):
Expand All @@ -63,6 +73,7 @@ class MobileNetV3SmallWeights(Weights):
transforms=partial(ImageNetEval, crop_size=224),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/tree/main/references/classification#mobilenetv3-large--small",
"acc@1": 67.668,
"acc@5": 87.402,
},
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40 changes: 25 additions & 15 deletions torchvision/prototype/models/resnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -96,7 +96,7 @@ class ResNet50Weights(Weights):
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995",
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe-with-fixres",
"acc@1": 80.674,
"acc@5": 95.166,
},
Expand All @@ -115,13 +115,13 @@ class ResNet101Weights(Weights):
},
)
ImageNet1K_RefV2 = WeightEntry(
url="https://download.pytorch.org/models/resnet101-b641f3a9.pth",
url="https://download.pytorch.org/models/resnet101-cd907fc2.pth",
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995",
"acc@1": 81.728,
"acc@5": 95.670,
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe",
"acc@1": 81.886,
"acc@5": 95.780,
},
)

Expand All @@ -138,13 +138,13 @@ class ResNet152Weights(Weights):
},
)
ImageNet1K_RefV2 = WeightEntry(
url="https://download.pytorch.org/models/resnet152-089c0848.pth",
url="https://download.pytorch.org/models/resnet152-f82ba261.pth",
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995",
"acc@1": 82.042,
"acc@5": 95.926,
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe",
"acc@1": 82.284,
"acc@5": 96.002,
},
)

Expand All @@ -161,13 +161,13 @@ class ResNeXt50_32x4dWeights(Weights):
},
)
ImageNet1K_RefV2 = WeightEntry(
url="https://download.pytorch.org/models/resnext50_32x4d-b260af35.pth",
url="https://download.pytorch.org/models/resnext50_32x4d-1a0047aa.pth",
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995",
"acc@1": 81.116,
"acc@5": 95.478,
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe",
"acc@1": 81.198,
"acc@5": 95.340,
},
)

Expand All @@ -183,6 +183,16 @@ class ResNeXt101_32x8dWeights(Weights):
"acc@5": 94.526,
},
)
ImageNet1K_RefV2 = WeightEntry(
url="https://download.pytorch.org/models/resnext101_32x8d-110c445d.pth",
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe-with-fixres",
"acc@1": 82.834,
"acc@5": 96.228,
},
)


class WideResNet50_2Weights(Weights):
Expand All @@ -201,7 +211,7 @@ class WideResNet50_2Weights(Weights):
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995",
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe-with-fixres",
"acc@1": 81.602,
"acc@5": 95.758,
},
Expand All @@ -224,7 +234,7 @@ class WideResNet101_2Weights(Weights):
transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/issues/3995",
"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe-with-fixres",
"acc@1": 82.492,
"acc@5": 96.110,
},
Expand Down