| # Evaluation with LGT-Net |
| This is instruction for evaluating our dataset with "[LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network](https://arxiv.org/abs/2203.01824)". |
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|
| # Downloading Pre-trained Weights |
| Pre-trained weights are provided by authors on individual datasets at [here](https://drive.google.com/drive/folders/1bOZyXeuNnwFEC9nw7EgJUwMiI685obdT?usp=sharing). |
| These models are used in our dataset paper below. |
| - [mp3d/best.pkl](https://drive.google.com/file/d/1o97oAmd-yEP5bQrM0eAWFPLq27FjUDbh/view?usp=sharing): Training on MatterportLayout dataset |
| - [pano/best.pkl](https://drive.google.com/file/d/1JoeqcPbm_XBPOi6O9GjjWi3_rtyPZS8m/view?usp=sharing): Training on PanoContext(train)+Stanford2D-3D(whole) dataset |
| - [s2d3d/best.pkl](https://drive.google.com/file/d/1PfJzcxzUsbwwMal7yTkBClIFgn8IdEzI/view?usp=sharing): Training on Stanford2D-3D(train)+PanoContext(whole) dataset |
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| Make sure the pre-trained weight files are stored as follows: |
| ``` |
| checkpoints |
| |-- SWG_Transformer_LGT_Net |
| | |-- mp3d |
| | | |-- best.pkl |
| | |-- pano |
| | | |-- best.pkl |
| | |-- s2d3d |
| | | |-- best.pkl |
| ``` |
|
|
| # Preparing Dataset |
| You can use `assets/layout_eval/convert4LGTNet.py` to get proper data structure for evaluation. |
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|
| ### Evaluation with MatterportLayout |
| Make sure the dataset files are stored as follows: |
| ``` |
| src/dataset/mp3d |
| |-- image |
| | |-- 000_<scene>_equi_rgb.png |
| |-- label |
| | |-- 000_<scene>_equi_layout.json |
| |-- split |
| |-- test.txt # it needs to contain all of files. |
| ``` |
|
|
| ### Evaluation with PanoContext |
| Make sure the dataset files are stored as follows: |
| ``` |
| src/dataset/pano_s2d3d |
| |-- test |
| | |-- img |
| | | |-- pano_000_<scene>_equi_rgb.png |
| | |-- label_cor |
| | |-- pano_000_<scene>_equi_layout.txt |
| ``` |
|
|
| ### Evaluation with Stanford 2D-3D |
| Make sure the dataset files are stored as follows: |
| ``` |
| src/dataset/pano_s2d3d |
| |-- test |
| | |-- img |
| | | |-- camera_000_<scene>_equi_rgb.png |
| | |-- label_cor |
| | |-- camera_000_<scene>_equi_layout.txt |
| ``` |
