aaronmarkham commented on a change in pull request #15065: [MXNET] Updated http://data.dmlc.ml/ links to http://data.mxnet.io/ URL: https://github.com/apache/incubator-mxnet/pull/15065#discussion_r287519646
########## File path: example/rcnn/README.md ########## @@ -43,8 +43,8 @@ Make a directory `data` and follow `py-faster-rcnn` for data preparation instruc * [MSCOCO](http://mscoco.org/dataset/) should be in `data/coco` containing `train2017`, `val2017` and `annotations/instances_train2017.json`, `annotations/instances_val2017.json`. ### Download pretrained ImageNet models -* [VGG16](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) should be at `model/vgg16-0000.params` from [MXNet model zoo](http://data.dmlc.ml/models/imagenet/vgg/). -* [ResNet](https://github.com/tornadomeet/ResNet) should be at `model/resnet-101-0000.params` from [MXNet model zoo](http://data.dmlc.ml/models/imagenet/resnet/). +* [VGG16](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) should be at `model/vgg16-0000.params` from [MXNet model zoo](http://data.mxnet.io/models/imagenet/vgg/). Review comment: This link doesn't work: http://data.mxnet.io/models/imagenet/vgg/ Looks like a redirect on s3 and without a specific key it won't work. And browsing is disabled... so... you'll need to go in on the s3 side to find out where this stuff is and get the full URL. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
