Update info about ResNeXt-29 (16x64d) model for SVHN

Swapnil2095 · Jun 27, 2019 · 7ae6343 · 7ae6343
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diff --git a/chainer_/README.md b/chainer_/README.md
@@ -426,6 +426,7 @@ Some remarks:
 | PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-8dcd3ae5.npz.log)) |
 | PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-69de71f5.npz.log)) |
 | ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-0a402fab.npz.log)) |
+| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-04ffa539.npz.log)) |
 | PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-e750bd67.npz.log)) |
 | DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-8d563cdf.npz.log)) |
 | DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-52bd7900.npz.log)) |

diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py
@@ -237,6 +237,7 @@
     ('resnext29_32x4d_svhn', '0280', '0a402faba812ae0b1238a6da95adc734a5a24f16', 'v0.0.275'),
     ('resnext29_16x64d_cifar10', '0241', 'e80d3cb5f8d32be2025fe8fb7a7369b2d004217e', 'v0.0.176'),
     ('resnext29_16x64d_cifar100', '1693', '762f79b3506528f817882c3a47252c2f42e9376b', 'v0.0.322'),
+    ('resnext29_16x64d_svhn', '0268', '04ffa5396ae4a61e60a30f86cd5180611ce94772', 'v0.0.358'),
     ('pyramidnet110_a48_cifar10', '0372', '965fce37e26ef4e3724df869fe90283669fe9daf', 'v0.0.184'),
     ('pyramidnet110_a48_cifar100', '2095', 'b74f12c8d11de3ddd9fa51fe93c1903675a43a3c', 'v0.0.186'),
     ('pyramidnet110_a48_svhn', '0247', 'e750bd672b24bb60eca0527fd11f9866a9fc8329', 'v0.0.281'),

diff --git a/gluon/README.md b/gluon/README.md
@@ -454,6 +454,7 @@ Some remarks:
 | PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-6804450b.params.log)) |
 | PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-4aeee06a.params.log)) |
 | ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-dcb6aef9.params.log)) |
+| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-c57307f3.params.log)) |
 | PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-d8a5c6e2.params.log)) |
 | DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-645564c1.params.log)) |
 | DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-6f2f9824.params.log)) |

diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py
@@ -244,6 +244,7 @@
     ('resnext29_32x4d_svhn', '0280', 'dcb6aef96fbd76aa249e8f834093e2384b898404', 'v0.0.275'),
     ('resnext29_16x64d_cifar10', '0241', '76b97a4dd6185602a8ca8bdd77a70f8ddfcd4e83', 'v0.0.176'),
     ('resnext29_16x64d_cifar100', '1693', '1fcec90d6425e0405c61a1e90a80701ea556beca', 'v0.0.322'),
+    ('resnext29_16x64d_svhn', '0268', 'c57307f3bf70d0f39d6cfb1dc2c82d8ef9e89603', 'v0.0.358'),
     ('pyramidnet110_a48_cifar10', '0372', '35b94d0575c2081a142e71955c8ceea8c51ec5e5', 'v0.0.184'),
     ('pyramidnet110_a48_cifar100', '2095', '00fd42a00492b2bbb28cacfb7b1a6c63072c37a3', 'v0.0.186'),
     ('pyramidnet110_a48_svhn', '0247', 'd8a5c6e20b6cc01989a52f9e307caf640169ed0a', 'v0.0.281'),

diff --git a/pytorch/README.md b/pytorch/README.md
@@ -441,6 +441,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 | PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-aa49e0a3.pth.log)) |
 | PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-94d42de4.pth.log)) |
 | ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-e85c5217.pth.log)) |
+| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-74332b71.pth.log)) |
 | PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-d48bafbe.pth.log)) |
 | DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-ac0de84a.pth.log)) |
 | DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-32076052.pth.log)) |

diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py
@@ -243,6 +243,7 @@
     ('resnext29_32x4d_svhn', '0280', 'e85c5217944cdfafb0a538dd7cc817cffaada7c4', 'v0.0.275'),
     ('resnext29_16x64d_cifar10', '0241', '4133d3d04f9b10b132dcb959601d36f10123f8c2', 'v0.0.176'),
     ('resnext29_16x64d_cifar100', '1693', '05e9a7f113099a98b219cad622ecfad5517a3b54', 'v0.0.322'),
+    ('resnext29_16x64d_svhn', '0268', '74332b714cd278bfca3f09dafe2a9d117510e9a4', 'v0.0.358'),
     ('pyramidnet110_a48_cifar10', '0372', 'eb185645cda89e0c3c47b11c4b2d14ff18fa0ae1', 'v0.0.184'),
     ('pyramidnet110_a48_cifar100', '2095', '95da1a209916b3cf4af7e8dc44374345a88c60f4', 'v0.0.186'),
     ('pyramidnet110_a48_svhn', '0247', 'd48bafbebaabe9a68e5924571752b3d7cd95d311', 'v0.0.281'),