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#!/bin/bash
# you need to use your own path
dataset_dir=/scratches/flyer_3/fx221/dataset/7Scenes
ref_sfm_dir=/scratches/flyer_2/fx221/publications/pram_data/3D-models/7Scenes
output_dir=/scratches/flyer_2/fx221/publications/test_pram/7Scenes
# keypoints and matcher used for sfm
feat=sfd2
matcher=gml
extract_feat_db=1
match_db=1
triangulation=1
localize=0
ransac_thresh=12
opt_thresh=12
covisibility_frame=20
inlier_thresh=30
obs_thresh=3
for scene in heads fire office stairs pumpkin redkitchen chess
#for scene in fire office pumpkin redkitchen chess
#for scene in chess
do
echo $scene
image_dir=$dataset_dir/$scene
ref_sfm=$ref_sfm_dir/$scene/3D-models
db_pair=$ref_sfm_dir/$scene/pairs-db-covis20.txt
outputs=$output_dir/$scene
query_pair=$ref_sfm_dir/$scene/pairs-query-netvlad20.txt
gt_pose_fn=$ref_sfm_dir/$scene/queries_poses.txt
query_fn=$ref_sfm_dir/$scene/queries_with_intrinsics.txt
if [ "$extract_feat_db" -gt "0" ]; then
python3 -m localization.extract_features --image_dir $image_dir --export_dir $outputs/ --conf $feat
fi
if [ "$match_db" -gt "0" ]; then
python3 -m localization.match_features --pairs $db_pair --export_dir $outputs/ --conf $matcher --features feats-$feat
fi
if [ "$triangulation" -gt "0" ]; then
python3 -m localization.triangulation \
--sfm_dir $outputs/sfm_$feat-$matcher \
--reference_sfm_model $ref_sfm \
--image_dir $image_dir \
--pairs $db_pair \
--features $outputs/feats-$feat.h5 \
--matches $outputs/feats-$feat-$matcher-pairs-db-covis20.h5
fi
if [ "$localize" -gt "0" ]; then
python3 -m localization.localizer \
--dataset 7Scenes \
--image_dir $image_dir \
--save_root $outputs \
--gt_pose_fn $gt_pose_fn \
--retrieval $query_pair \
--reference_sfm $outputs/sfm_$feat-$matcher \
--queries $query_fn \
--features $outputs/feats-$feat.h5 \
--matcher_method $matcher \
--ransac_thresh $ransac_thresh \
--covisibility_frame $covisibility_frame \
--obs_thresh $obs_thresh \
--opt_thresh $opt_thresh \
--inlier_thresh $inlier_thresh \
--use_hloc
fi
done |