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_r287539157
########## 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: Ok, use the AWS CLI to browse around: ``` aws s3 ls s3://data.mxnet.io aws s3 ls s3://data.mxnet.io/mxnet/models/imagenet/vgg/ ``` Then you should be able to figure out the links that way. ---------------------------------------------------------------- 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
