Add files using upload-large-folder tool

MD5SUMS.txt

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+db875142decdc2d7f7ba0cafd57d5c69  caches/epic_refs.tar
+ac9fadc6b1f82a7ef420958afdab4bad  caches/epic_annotations.tar
+90f3f39de07f771b0055c5cccf845bef  inputs/epic_intermediate-data.tar
+96973068b57aafb4177ee9d0c4f8134b  inputs/epic_epic-fields.tar
+cfbf98065f71cb732a685f5f705cf67a  inputs/epic_visor.tar
+bde71c72edc0a8152cb5daea026dda6e  caches/epic_geo.tar
+e250348e8c53a2166890ca22e032f17c  caches/epic_rect992.tar
+08e8822460e804706930a43106747400  caches/epic_depth992.tar

README.md

@@ -0,0 +1,38 @@
+---
+license: cc-by-nc-4.0
+pretty_name: VoxMem EPIC-KITCHENS share
+tags: [egocentric, epic-kitchens, depth, camera-pose, video-qa]
+---
+# VoxMem EPIC-KITCHENS share
+
+Derived data of the VoxMem project built from [EPIC-KITCHENS-100](https://epic-kitchens.github.io/) (videos © the EPIC-KITCHENS
+team, CC BY-NC 4.0; this share keeps that license and is for non-commercial research). It holds the per-frame caches the VoxMem
+evaluation and trainer read (rectified frames, metric depth, Stream3D geometry, reference frames) and the inputs they were built
+from (EPIC-Fields poses, VISOR annotations, the generated question sets). The original MP4s are NOT here.
+
+Every tar's member paths start with `task_runtime/`, so one command extracts into any VoxMem checkout:
+`tar --strip-components=1 -C /path/to/VoxMem -xf <tar>` (on Bolt the checkout is `/mnt/task_runtime`).
+The three large tars are cut into parts under 10 GB; `cat <name>.tar.part?? > <name>.tar` joins them. `MD5SUMS.txt` at the
+top lists every whole tar; each parts folder has its own with the parts and the joined tar.
+
+| what | form | extracts to |
+|---|---|---|
+| `caches/parts/epic_depth992/` | 29 parts, join -> `epic_depth992.tar` | `results/cache/ds/depth/da3mvpR_fov85_sz992` |
+| `caches/parts/epic_geo/` | 8 parts, join -> `epic_geo.tar` | `results/cache/stream3d/geom/epic-kitchens` |
+| `caches/parts/epic_rect992/` | 11 parts, join -> `epic_rect992.tar` | `results/cache/ds/rect/rect_fov85_sz992` |
+| `caches/epic_refs.tar` | one file | `results/cache/ds/ref` |
+| `caches/epic_annotations.tar` | one file | `dat/epic-kitchens/annotations + results/cache/ds` |
+| `inputs/epic_intermediate-data.tar` | one file | `dat/epic-kitchens/Intermediate-Data + Videos` |
+| `inputs/epic_epic-fields.tar` | one file | `dat/epic-kitchens/epic-fields` |
+| `inputs/epic_visor.tar` | one file | `dat/epic-kitchens/visor` |
+
+## Download everything and extract (resumable)
+
+```bash
+pip install -U huggingface_hub hf_transfer
+export HF_HUB_ENABLE_HF_TRANSFER=1
+huggingface-cli download treemo6/voxmem-epic-data-share --repo-type dataset --local-dir epic_share
+ROOT=/mnt/task_runtime bash epic_share/download_epic_share_hf.sh     # joins the parts, checks every md5, extracts into ROOT
+```
+
+`download_epic_share_hf.sh` re-runs safely: it skips what is already extracted.

caches/epic_annotations.tar

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+size 378132480

caches/epic_refs.tar

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+size 194211840

caches/parts/epic_depth992/MD5SUMS.txt

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download_epic_share_hf.sh

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+#!/bin/bash
+# Join, verify and extract the VoxMem EPIC share after `huggingface-cli download ... --local-dir epic_share`.
+#   ROOT=/mnt/task_runtime bash epic_share/download_epic_share_hf.sh    (any VoxMem checkout as ROOT)
+set -u
+ROOT="${ROOT:-/mnt/task_runtime}"; KEEP_TARS="${KEEP_TARS:-0}"; cd "$(dirname "$0")"; mkdir -p "$ROOT"
+extract(){ # tar md5 what
+  [ -f "$1.extracted" ] && return 0; echo "== $1 -> $ROOT ($3)"; echo "$2  $1" | md5sum -c - || { echo "md5 FAILED: $1"; exit 1; }
+  tar --strip-components=1 -C "$ROOT" -xf "$1" && touch "$1.extracted" && { [ "$KEEP_TARS" = 1 ] || rm -f "$1"; }; }
+
+if [ ! -f caches/epic_depth992.tar.extracted ]; then
+  (cd caches/parts/epic_depth992 && md5sum -c MD5SUMS.txt --ignore-missing) || { echo 'a part of epic_depth992 is corrupt: delete it and re-run the download'; exit 1; }
+  cat caches/parts/epic_depth992/epic_depth992.tar.part?? > caches/epic_depth992.tar && extract caches/epic_depth992.tar 08e8822460e804706930a43106747400 'results/cache/ds/depth/da3mvpR_fov85_sz992' && rm -rf caches/parts/epic_depth992
+fi
+if [ ! -f caches/epic_geo.tar.extracted ]; then
+  (cd caches/parts/epic_geo && md5sum -c MD5SUMS.txt --ignore-missing) || { echo 'a part of epic_geo is corrupt: delete it and re-run the download'; exit 1; }
+  cat caches/parts/epic_geo/epic_geo.tar.part?? > caches/epic_geo.tar && extract caches/epic_geo.tar bde71c72edc0a8152cb5daea026dda6e 'results/cache/stream3d/geom/epic-kitchens' && rm -rf caches/parts/epic_geo
+fi
+if [ ! -f caches/epic_rect992.tar.extracted ]; then
+  (cd caches/parts/epic_rect992 && md5sum -c MD5SUMS.txt --ignore-missing) || { echo 'a part of epic_rect992 is corrupt: delete it and re-run the download'; exit 1; }
+  cat caches/parts/epic_rect992/epic_rect992.tar.part?? > caches/epic_rect992.tar && extract caches/epic_rect992.tar e250348e8c53a2166890ca22e032f17c 'results/cache/ds/rect/rect_fov85_sz992' && rm -rf caches/parts/epic_rect992
+fi
+extract caches/epic_refs.tar db875142decdc2d7f7ba0cafd57d5c69 'results/cache/ds/ref'
+extract caches/epic_annotations.tar ac9fadc6b1f82a7ef420958afdab4bad 'dat/epic-kitchens/annotations + results/cache/ds'
+extract inputs/epic_intermediate-data.tar 90f3f39de07f771b0055c5cccf845bef 'dat/epic-kitchens/Intermediate-Data + Videos'
+extract inputs/epic_epic-fields.tar 96973068b57aafb4177ee9d0c4f8134b 'dat/epic-kitchens/epic-fields'
+extract inputs/epic_visor.tar cfbf98065f71cb732a685f5f705cf67a 'dat/epic-kitchens/visor'
+echo "all done into $ROOT"

inputs/epic_epic-fields.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7edb927b65b8b31bf41053898c28224b1d2053997eba062e563cd1af8803f43
+size 10310891520

inputs/epic_intermediate-data.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26d3fc12049d66fb7e35341df1cf25e09d3922d436eaad8ae103c22b3da6eed5
+size 5416048640

inputs/epic_visor.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f98f8eade4e671452f75962866ae203fd88cdd5c555723450ac6d8a0a69fd33
+size 871915520

unpack_rect_to_media_jpg.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+"""Materialise the loose-JPEG media directory from a rect cache (the Stream3D media contract the training loaders read):
+    results/cache/ds/rect/<backend>/<video>.npz  ->  <out>/<video>/<frame_idx:06d>.jpg
+The JPEG bytes are copied verbatim (never re-encoded). Resumable: existing files of the right size are skipped.
+
+    python scripts/unpack_rect_to_media_jpg.py --rect results/cache/ds/rect/rect_fov85_sz992 --out dat/epic-kitchens/media_jpg [--videos P01_01 ...] [--workers 8]
+"""
+import argparse
+from concurrent.futures import ProcessPoolExecutor
+from pathlib import Path
+
+import numpy as np
+
+
+def unpack(npz, out):
+    z = np.load(npz, allow_pickle=False)
+    fi, blob, off = z["frame_idx"], z["jpeg"], z["offsets"]
+    d = Path(out) / Path(npz).stem; d.mkdir(parents=True, exist_ok=True)
+    n = 0
+    for k, i in enumerate(fi):
+        p = d / f"{int(i):06d}.jpg"; b = blob[off[k]:off[k + 1]].tobytes()
+        if p.exists() and p.stat().st_size == len(b):
+            continue
+        p.write_bytes(b); n += 1
+    return Path(npz).stem, len(fi), n
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--rect", required=True)
+    ap.add_argument("--out", required=True)
+    ap.add_argument("--videos", nargs="*", default=None)
+    ap.add_argument("--workers", type=int, default=8)
+    a = ap.parse_args()
+    files = sorted(Path(a.rect).glob("*.npz"))
+    if a.videos:
+        files = [f for f in files if f.stem in set(a.videos)]
+    tot = wrote = 0
+    with ProcessPoolExecutor(a.workers) as ex:
+        for vid, n, w in ex.map(unpack, [str(f) for f in files], [a.out] * len(files)):
+            tot += n; wrote += w
+    print(f"[media_jpg] {len(files)} videos, {tot} frames, {wrote} written -> {a.out}")
+
+
+if __name__ == "__main__":
+    main()