raster2seq / tools /predict_r2g.sh
anas
Initial deployment of Raster2Seq floor plan vectorization API
fadb92b
#!/usr/bin/env bash
DATA=data/R2G_hr_dataset_processed_v1
FOLDER=test
CKPT=checkpoints/r2g_sem_res256_ep0549.pth
python predict.py \
--dataset_name=r2g \
--dataset_root=${DATA}/${FOLDER} \
--checkpoint=${CKPT} \
--output_dir=pred_outputs/r2g_${FOLDER}_preds \
--semantic_classes=13 \
--input_channels 3 \
--poly2seq \
--seq_len 512 \
--num_bins 32 \
--disable_poly_refine \
--dec_attn_concat_src \
--per_token_sem_loss \
--use_anchor \
--ema4eval \
--save_pred