#!/usr/bin/env bash # Additional useful arguments: # --crop_white_space: remove redundant whitespace from the rendering # --one_color: use single color for every room (i.e. yellow) # --compute_stats: compute statistics of the dataset (e.g. max_num_pts, max_num_polys) # and plot histogram for counting number of Points, Rooms, Corners # --drop_wd: disable Windor & Door in the plots # --image_scale: adjust rendering resolution of the plots SPLIT=test python plot_floor.py --dataset_name=stru3d \ --dataset_root=data/coco_s3d_bw/ \ --eval_set=${SPLIT} \ --output_dir=data_plots/output_gt_s3dbw/${SPLIT} \ --semantic_classes=19 \ --input_channels 3 \ --disable_image_transform \ --poly2seq \ --image_size 256 \ --image_scale 1 \ --compute_stats \ --plot_gt \ --plot_gt_image \ --plot_polys \ --plot_density SPLIT=test python plot_floor.py --dataset_name=r2g \ --dataset_root=data/R2G_hr_dataset_processed_v1/ \ --eval_set=${SPLIT} \ --output_dir=output_gt_r2g/${SPLIT} \ --semantic_classes=13 \ --input_channels 3 \ --poly2seq \ --disable_image_transform \ --image_size 256 \ --image_scale 1 \ --compute_stats \ --plot_gt \ --plot_polys \ --plot_density SPLIT=test python plot_floor.py --dataset_name=cubicasa \ --dataset_root=data/coco_cubicasa5k_nowalls_v4-1_refined \ --eval_set=${SPLIT} \ --output_dir=data_plots/output_gt_cc5k/${SPLIT} \ --semantic_classes=12 \ --input_channels 3 \ --disable_image_transform \ --poly2seq \ --image_size 256 \ --image_scale 1 \ --compute_stats \ --plot_gt \ --plot_polys \ --plot_density