raster2seq / data_preprocess /tools /plot_data.sh
anas
Initial deployment of Raster2Seq floor plan vectorization API
fadb92b
#!/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