add more hub models

[ailzhang]

This PR add a few resnext, segmentation models, shufflenext, googlenet, mobilenet in hubconf.
Here is a few quick experiments:

In [3]: torch.hub.list('ailzhang/vision:add_segmentation_hubconf', force_reload=True)
Downloading: "https://github.com/ailzhang/vision/archive/add_segmentation_hubconf.zip" to /private/home/ailzhang/.cache/torch/hub/add_segmentation_hubconf.zip
Out[3]:
['alexnet',
 'deeplabv3_resnet101',
 'densenet121',
 'densenet161',
 'densenet169',
 'densenet201',
 'fcn_resnet101',
 'googlenet',
 'inception_v3',
 'mobilenet_v2',
 'resnet101',
 'resnet152',
 'resnet18',
 'resnet34',
 'resnet50',
 'resnext101_32x8d',
 'resnext50_32x4d',
 'shufflenet_v2_x0_5',
 'shufflenet_v2_x1_0',
 'squeezenet1_0',
 'squeezenet1_1',
 'vgg11',
 'vgg11_bn',
 'vgg13',
 'vgg13_bn',
 'vgg16',
 'vgg16_bn',
 'vgg19',
 'vgg19_bn']


In [4]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'mobilenet_v2', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf
Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /private/home/ailzhang/.cache/torch/checkpoints/mobilenet_v2-b0353104.pth
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 13.6M/13.6M [00:00<00:00, 19.3MB/s]

In [5]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'googlenet', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf
Downloading: "https://download.pytorch.org/models/googlenet-1378be20.pth" to /private/home/ailzhang/.cache/torch/checkpoints/googlenet-1378be20.pth
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 49.7M/49.7M [00:01<00:00, 35.4MB/s]

In [6]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'resnext101_32x8d', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf
Downloading: "https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth" to /private/home/ailzhang/.cache/torch/checkpoints/resnext101_32x8d-8ba56ff5.pth
100%|████████████████████████████████████████████████████████████████████████████████████████████████| 340M/340M [00:08<00:00, 40.7MB/s]

In [7]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'resnext50_32x4d', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf
Downloading: "https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth" to /private/home/ailzhang/.cache/torch/checkpoints/resnext50_32x4d-7cdf4587.pth
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 95.8M/95.8M [00:03<00:00, 29.8MB/s]

In [8]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'shufflenet_v2_x0_5', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf
Downloading: "https://download.pytorch.org/models/shufflenetv2_x0.5-f707e7126e.pth" to /private/home/ailzhang/.cache/torch/checkpoints/shufflenetv2_x0.5-f707e7126e.pth
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 5.28M/5.28M [00:00<00:00, 9.80MB/s]

In [9]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'shufflenet_v2_x1_0', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf
Downloading: "https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth" to /private/home/ailzhang/.cache/torch/checkpoints/shufflenetv2_x1-5666bf0f80.pth
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 8.79M/8.79M [00:00<00:00, 15.7MB/s]

In [2]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'deeplabv3_resnet101', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf

In [3]: model = torch.hub.load('ailzhang/vision:add_segmentation_hubconf', 'fcn_resnet101', pretrained=True)
Using cache found in /private/home/ailzhang/.cache/torch/hub/ailzhang_vision_add_segmentation_hubconf

[fmassa]

LGTM, thanks!

Can you just fix the lint? Then this is good to merge

[codecov-io]

Codecov Report

Merging #974 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master     #974   +/-   ##
=======================================
  Coverage   61.16%   61.16%           
=======================================
  Files          65       65           
  Lines        5091     5091           
  Branches      764      764           
=======================================
  Hits         3114     3114           
  Misses       1767     1767           
  Partials      210      210

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