LaMa-Demo-ONNX / bin /debug /analyze_overlapping_masks.sh
AK391
files
d380b77
#!/bin/bash
BASEDIR="$(dirname $0)"
# paths are valid for mml7
# select images
#ls /data/inpainting/work/data/train | shuf | head -2000 | xargs -n1 -I{} cp {} /data/inpainting/mask_analysis/src
# generate masks
#"$BASEDIR/../gen_debug_mask_dataset.py" \
# "$BASEDIR/../../configs/debug_mask_gen.yaml" \
# "/data/inpainting/mask_analysis/src" \
# "/data/inpainting/mask_analysis/generated"
# predict
#"$BASEDIR/../predict.py" \
# model.path="simple_pix2pix2_gap_sdpl_novgg_large_b18_ffc075_batch8x15/saved_checkpoint/r.suvorov_2021-04-30_14-41-12_train_simple_pix2pix2_gap_sdpl_novgg_large_b18_ffc075_batch8x15_epoch22-step-574999" \
# indir="/data/inpainting/mask_analysis/generated" \
# outdir="/data/inpainting/mask_analysis/predicted" \
# dataset.img_suffix=.jpg \
# +out_ext=.jpg
# analyze good and bad samples
"$BASEDIR/../analyze_errors.py" \
--only-report \
--n-jobs 8 \
"$BASEDIR/../../configs/analyze_mask_errors.yaml" \
"/data/inpainting/mask_analysis/small/generated" \
"/data/inpainting/mask_analysis/small/predicted" \
"/data/inpainting/mask_analysis/small/report"