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mrcnn's Introduction

MRCNN

Implementation of Manifold Regularized Convolutional Neural Networks.


Dependency


Setup

Run bash setup.sh in terminal to automatically download the CIFAR-100 dataset and pretrained VGG19 model.

Usage

Enter python MRCNN.py in bash for fast with default setting.

Use --gpu_id to specify the GPU devices to use. By default, all GPUs available will be used.

Use --vgg_path to specify the path of pretrained VGG Net. By default, the model is located under vgg/ directory

Use --result_path to specify file to save the result. By default, the file is "result.csv".

Use --help to acquire more information.


Citation

If you'd like to compare our framework with your work, please cite our paper as following:

TBA

mrcnn's People

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mrcnn's Issues

[irrelevant - urgent] Question about M-CE2P?

Sorry for the inconvenience.
I'm training M-CE2P from https://github.com/RanTaimu/M-CE2P.
But i could not train. I met issue about LIPParsingEdgeDataSet class in datasets.py line 33.
I checked train.txt in MHP v2.0, this file has only name of training image, not label_path,label_rev_path, edge_path. Can you help me pass this error?

My skype: kstn_hut_hat
Thank you!

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