MBZUAI-Campus / bootstrap.sh
sebo_the_tramp
Clean reinit with LFS and correct scale
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#!/usr/bin/env bash
set -euo pipefail
# Bootstrap downloader: iterates used_scenes.json and downloads each scene.
# Resolve paths relative to this script
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
DOWNLOAD_SCRIPT="${DOWNLOAD_SCRIPT:-${SCRIPT_DIR}/download.py}"
USED_SCENES_JSON="${USED_SCENES_JSON:-${SCRIPT_DIR}/used_scenes_test.json}" # Change to used_scenes.json for full download
GOOD_SCENES_DIR="${GOOD_SCENES_DIR:-${SCRIPT_DIR}/good_scenes}"
usage() {
echo "Usage: $0 [-o OUTPUT_DIR]" >&2
echo " -o, --output Output base dir for downloads (default: ${GOOD_SCENES_DIR})" >&2
}
while [[ $# -gt 0 ]]; do
case "$1" in
-o|--output)
GOOD_SCENES_DIR="$2"; shift 2 ;;
-h|--help)
usage; exit 0 ;;
*)
echo "Unknown argument: $1" >&2; usage; exit 1 ;;
esac
done
if [[ ! -f "$DOWNLOAD_SCRIPT" ]]; then
echo "ERROR: download script not found at $DOWNLOAD_SCRIPT" >&2
exit 1
fi
if [[ ! -f "$USED_SCENES_JSON" ]]; then
echo "ERROR: used scenes JSON not found at $USED_SCENES_JSON" >&2
exit 1
fi
mkdir -p "$GOOD_SCENES_DIR"
echo "Downloading scenes into: $GOOD_SCENES_DIR"
successful_downloads=0
total_scenes=0
# Extract tab-separated batch and hash for each scene from JSON
while IFS=$'\t' read -r batch hash scale; do
[[ -z "$batch" || -z "$hash" ]] && continue
total_scenes=$((total_scenes + 1))
# echo "Saving metric $scale to text file"
# echo "$scale" > "${GOOD_SCENES_DIR}/${batch}/${hash}/metric_scale.txt"
echo "Downloading scene hash=$hash (batch=$batch) ..."
scene_success=true
# 1) images+poses at 4K and 960P
for reso in 4K 960P; do
if python3 "$DOWNLOAD_SCRIPT" \
--odir "$GOOD_SCENES_DIR" \
--subset "$batch" \
--resolution "$reso" \
--file_type "images+poses" \
--hash "$hash" \
--clean_cache; then
echo "Successfully downloaded images+poses ($reso) for scene $hash"
else
echo "Failed to download images+poses ($reso) for scene $hash" >&2
scene_success=false
fi
done
# 2) colmap_cache (resolution arg required but not used)
if python3 "$DOWNLOAD_SCRIPT" \
--odir "$GOOD_SCENES_DIR" \
--subset "$batch" \
--resolution "4K" \
--file_type "colmap_cache" \
--hash "$hash" \
--clean_cache; then
echo "Successfully downloaded colmap_cache for scene $hash"
else
echo "Failed to download colmap_cache for scene $hash" >&2
scene_success=false
fi
if [[ "$scene_success" == true ]]; then
echo "Successfully downloaded all assets for scene $hash"
successful_downloads=$((successful_downloads + 1))
else
echo "Scene $hash completed with some failures" >&2
fi
done < <(python3 - "$USED_SCENES_JSON" << 'PY'
import json, sys
path = sys.argv[1]
with open(path, 'r') as f:
data = json.load(f)
for s in data:
batch = s.get('batch')
hashv = s.get('hash')
scale = s.get('scale', '1.0')
if batch and hashv:
print(f"{batch}\t{hashv}\t{scale}")
PY
)
echo "Summary: $successful_downloads/$total_scenes scenes downloaded successfully."