Merge pull request #2 from Yue-Group/dev

Fix the wrong link in READ.md. Ref #1
iMoonLab · Jan 26, 2019 · 34d7e2c · 34d7e2c
2 parents 6f8c78c + 437e20d
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diff --git a/.gitignore b/.gitignore
@@ -0,0 +1,2 @@
+.idea/
+*.pkl
diff --git a/README.md b/README.md
@@ -31,7 +31,7 @@ Install [PyTorch 0.4.0](https://pytorch.org). You also need to install yaml. The
 
 ##### Data Preparation
 
-Firstly, you should download the [reorganized ModelNet40 dataset](https://drive.google.com/open?id=1l8Ij9BODxcD1goePBskPkBcgKW76Ewcs). Then, configure the "data_root" in `config/train_config.yaml` and `config/test_config.yaml` with your path to the downloaded dataset:
+Firstly, you should download the [reorganized ModelNet40 dataset](https://drive.google.com/open?id=1o9pyskkKMxuomI5BWuLjCG2nSv5iePZz). Then, configure the "data_root" in `config/train_config.yaml` and `config/test_config.yaml` with your path to the downloaded dataset:
 
 ```
 # config/train_config.yaml and config/test_config.yaml
@@ -56,7 +56,7 @@ You can modify the configuration in the `config/train_config.yaml` for your own
 
 ##### Test Model
 
-The pretrained MeshNet model weights are stored in [pretrained model](https://drive.google.com/open?id=1m5Uy9-oXMNPZ129owKvQ5ipH3f0vdABs). You can download it and configure the "load_model" in `config/test_config.yaml` with your path to the weight file.
+The pretrained MeshNet model weights are stored in [pretrained model](https://drive.google.com/open?id=1l8Ij9BODxcD1goePBskPkBcgKW76Ewcs). You can download it and configure the "load_model" in `config/test_config.yaml` with your path to the weight file.
 
 ```
 # config/test_config.yaml