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[MXNET] Updated http:https://data.dmlc.ml/ links to http:https://data.mxnet.io/ #15065

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merged 6 commits into from
May 29, 2019

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IvyBazan
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@IvyBazan IvyBazan commented May 24, 2019

Description

Updated remaining dmlc links and verified all links are working as expected

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@aaronmarkham

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Some blank line changes can be removed. Also, it looks like the data server was moved to be just s3, so no directory browsing is allowed... which means some of these links don't work. Please double check them and update them. If you don't have access to s3 to look directly PM me.

@@ -57,6 +57,7 @@ GetInception <- function() {
}

if (!file.exists("model/Inception-BN-0126.params")) {

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If you're not touching this file otherwise, please remove this edit.

@@ -162,6 +162,7 @@ val <- data$val

## Load pretrained model


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If you're not touching this file otherwise, please remove this edit.

@@ -43,8 +43,8 @@ Make a directory `data` and follow `py-faster-rcnn` for data preparation instruc
* [MSCOCO](http:https://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:https://www.robots.ox.ac.uk/~vgg/research/very_deep/) should be at `model/vgg16-0000.params` from [MXNet model zoo](http:https://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:https://data.dmlc.ml/models/imagenet/resnet/).
* [VGG16](http:https://www.robots.ox.ac.uk/~vgg/research/very_deep/) should be at `model/vgg16-0000.params` from [MXNet model zoo](http:https://data.mxnet.io/models/imagenet/vgg/).
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This link doesn't work: http:https://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.

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Ok, use the AWS CLI to browse around:

aws s3 ls s3:https://data.mxnet.io
aws s3 ls s3:https://data.mxnet.io/mxnet/models/imagenet/vgg/

Then you should be able to figure out the links that way.

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Updated and verified the links

@@ -31,5 +31,6 @@ cd ${DATA_DIR}
wget --no-check-certificate https://raw.githubusercontent.com/dmlc/mxnet.js/master/data/cat.png;

# Get inception model

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Remove this since no real change...

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@mxnet-label-bot add [Doc, pr-awaiting-response]

@marcoabreu marcoabreu added Doc pr-awaiting-response PR is reviewed and waiting for contributor to respond labels May 24, 2019
@szha szha merged commit 5fc4fc5 into apache:master May 29, 2019
haohuanw pushed a commit to haohuanw/incubator-mxnet that referenced this pull request Jun 23, 2019
…pache#15065)

* changed http:https://data.dmlc.ml/ links to http:https://data.mxnet.io/

* Update get_data.R

* Update get_inception_model.sh

* Update CatsDogsFinetune.Rmd

* Update README.md

Updated pretrained ImageNet model links
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