Improve the ImageNet example and update the MNIST tutorial#2919
Improve the ImageNet example and update the MNIST tutorial#2919cNikolaou wants to merge 5 commits intoBVLC:masterfrom
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Provide a script that automates and simplifies the process of extracting the .tar files which contain the ILSVRC2012 images (train and val). The script provides comments on the stage of the process. This script might be useful for other purposes as well (extracting other .tar files of images) with minor changes. Also updated the readme.md file with information for the usage of the new script.
Provide more information for the ImageNet tutorial that will make new users able to understand how to use the Caffe better and easier.
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Maybe someone can find a better name for that sub-header. The Data Preprocessing is good but it might not be the best. Any change is welcome.
Add more options to the create_imagenet.sh file and also update the tutorial to document the new changes.
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Check whether this addition would be valuable to the Caffe users. Also check the corresponding additions to the readme.md file which improves the tutorial.
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@ronghanghu, this PR is finished. I think that it improves the ImageNet tutorial and that will help new users to understand Caffe and make them able to change the examples based on their needs. Please review my comments on the changes that I made to ensure that I do not say anything wrong. Especially the part where the |
I decided to improve the ImageNet and the MNIST tutorials and provide a script to make the things easier and more thorough for the new users. I spent some time on the caffe-users group and I believe that the new version of the tutorials will help new users to understand how to use Caffe better.
.tarfiles which contain the ILSVRC2012 images (train and val). This script might be useful for other purposes as well (extracting other.tarfiles of images) with minor changes.lenet_train_test.prototxt./examples/imagenet/create_imagenet.sh/examples/imagenet/create_imagenet.shby using the--encode_typeoption when runningconvert_imageset. Default value will be"", but users should have the option to change it if they have space constrains.