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update datasets downloading links
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README.md

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@@ -24,10 +24,13 @@ if you find our work useful in your research, please consider citing:
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Install [Pytorch 0.4.0](https://pytorch.org/). You also need to install yaml. The code has been tested with Python 3.6, Pytorch 0.4.0 and CUDA 9.0 on Ubuntu 16.04.
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### Usage
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**Firstly, you should download the feature file for modelnet40 and ntu2012 from [google drive](https://drive.google.com/drive/folders/1oMG9k-cDa-r1VbC5HwAEzZEO13mDeWme?usp=sharing). Make a folder to restore the downloaded files "ModelNet40_mvcnn_gvcnn.mat" and ""
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**Firstly, you should download the feature files for modelnet40 and ntu2012 datasets.
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Then, configure the "data_root" and "result_root" in config/config.yaml.**
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Download datasets for training/evaluation
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Download datasets for training/evaluation (should be placed under "data_root")
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- [ModelNet40_mvcnn_gvcnn_feature](https://drive.google.com/file/d/1euw3bygLzRQm_dYj1FoRduXvsRRUG2Gr/view?usp=sharing)
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- [NTU2012_mvcnn_gvcnn_feature](https://drive.google.com/file/d/1euw3bygLzRQm_dYj1FoRduXvsRRUG2Gr/view?usp=sharing)
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