From 437e20df78a6149948135bc2aa2d829d9ca7e55e Mon Sep 17 00:00:00 2001 From: thss15fyt Date: Sat, 26 Jan 2019 14:16:49 +0800 Subject: [PATCH] Fix the wrong link in READ.md Ref #1 --- .gitignore | 2 ++ README.md | 4 ++-- 2 files changed, 4 insertions(+), 2 deletions(-) create mode 100644 .gitignore diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..660734b --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +.idea/ +*.pkl \ No newline at end of file diff --git a/README.md b/README.md index 03a2d14..1340c2b 100644 --- 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