From 9e0e4bf9c48c7650ce962aa1b033d286e30f0fcd Mon Sep 17 00:00:00 2001 From: jwangzzz <j96w@qq.com> Date: Mon, 14 Jan 2019 19:12:51 +0800 Subject: [PATCH] clean links --- README.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/README.md b/README.md index a365c0d..7f25ec3 100644 --- a/README.md +++ b/README.md @@ -174,10 +174,7 @@ The qualitative result on the YCB_Video dataset. </p> ## Trained Checkpoints -You can download the trained DenseFusion and Iterative Refinement models of both datasets from [Link](https://drive.google.com/drive/folders/19ivHpaKm9dOrr12fzC8IDFczWRPFxho7). Or use: -``` -wget --load-cookies /tmp/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1bQ9H-fyZplQoNt1qRwdIUX5_3_1pj6US' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=1bQ9H-fyZplQoNt1qRwdIUX5_3_1pj6US" -O trained_models.zip && rm -rf /tmp/cookies.txt -``` +You can download the trained DenseFusion and Iterative Refinement models of both datasets from [Link](https://drive.google.com/drive/folders/19ivHpaKm9dOrr12fzC8IDFczWRPFxho7). ## Tips for your own dataset As you can see in this repo, the network code and the hyperparameters(lr and w) remain the same for both datasets. Which means you might not need to adjust too much on the network structure and hyperparameters when you use this repo on your own dataset. Please make sure that the distance metric in your dataset should be converted to meter, otherwise the hyperparameter w need to be adjusted. Several useful tools including [LabelFusion](https://github.com/RobotLocomotion/LabelFusion) and [sixd_toolkit](https://github.com/thodan/sixd_toolkit) has been tested to work well. (Please make sure to turn on the depth image collection in LabelFusion when you use it.) -- GitLab