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at end of file diff --git a/EgoPressure/raw/data/configs/p_021/p_021_type_ipad_5x_left_k4a/cam-d.k4a_calibration.json b/EgoPressure/raw/data/configs/p_021/p_021_type_ipad_5x_left_k4a/cam-d.k4a_calibration.json new file mode 100644 index 0000000000000000000000000000000000000000..92e2ec04bbd5a1ad528c7a9a33741e8b2307aece --- /dev/null +++ b/EgoPressure/raw/data/configs/p_021/p_021_type_ipad_5x_left_k4a/cam-d.k4a_calibration.json @@ -0,0 +1 @@ +{"CalibrationInformation": {"Cameras": [{"Intrinsics": {"ModelParameterCount": 14, "ModelParameters": [0.5047338008880615, 0.49285370111465454, 0.4932085871696472, 0.49336764216423035, 0.916300356388092, 0.4960465431213379, 0.02894374169409275, 1.2540546655654907, 0.7451309561729431, 0.14445416629314423, 0, 0, 0.0001048803751473315, -3.213157469872385e-05], "ModelType": "CALIBRATION_LensDistortionModelBrownConrady"}, "Location": "CALIBRATION_CameraLocationD0", "Purpose": "CALIBRATION_CameraPurposeDepth", "MetricRadius": 1.739999771118164, "Rt": 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- egocentric-vision + - hand-object-interaction + - MANO +size_categories: + - 1MEgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision + +
+ +**CVPR 2025 (Highlight)** + +[Yiming Zhao1*](https://yiming-zhao.github.io), [Taein Kwon1*](https://taeinkwon.com/), [Paul Streli1*](https://www.paulstreli.com), [Marc Pollefeys1,2](https://people.inf.ethz.ch/marc.pollefeys/), [Christian Holz1](https://www.christianholz.net/)
+ +1 ETH Zürich +2 Microsoft
+* Equal contribution
+ +
+ +A dataset for **hand pressure and pose estimation in egocentric vision**. +Participants perform touch gestures on a +pressure-sensing touchpad (Sensel Morph) while being recorded by a +head-mounted egocentric camera and seven static Azure Kinects — providing +synchronized RGB-D from 8 views, fine-grained touch pressure for every +contact, and MANO hand mesh annotations. + +- 📄 Paper: https://arxiv.org/abs/2409.02224 +- 🛠️ Toolkit (download / load / visualize): https://github.com/eth-siplab/EgoPressure +- 🎬 Preview videos: https://drive.google.com/drive/folders/1JUIUvIR2jAV-ghYGtVLgBEN1JdCzkvnE + +

+ +

+ +## Composition + +| | | +|---|---| +| Participants | 21 (pseudonymized `p_001` … `p_021`) | +| Sequences | **1,344** — 32 gestures × 2 hands per participant | +| Gestures | palm/finger/index presses (high, low, no-contact), pinches, pinch-zoom, grasps, pull/push, drawing, typing + a calibration routine | +| Views | 8 synchronized RGB-D cameras (1 egocentric 1920×1080 + 7 static 2560×1440) at 30 Hz | +| Frames | ≈630K per camera stream (≈5M camera-frames overall) | +| Modalities | RGB, depth, hand masks, raw touch-pressure grid, UV pressure maps, MANO hand meshes (pose, shape, per-vertex refinement), per-frame egocentric camera pose | +| Total size | **1.96 TB** — selectively downloadable per participant / sequence / camera / modality | + +## Quick start (toolkit) + +The official toolkit handles selective download, loading every modality, +geometry, and visualization: + +```bash +pip install "egopressure[all] @ git+https://github.com/eth-siplab/EgoPressure" + +egopressure list +egopressure download --participants p_001 --cameras d --modalities rgb,depth,pressure,pose +egopressure video p_001 p_001_press_palm_low_x5_right --out seq.mp4 +``` + +```python +from egopressure import EgoPressure + +ep = EgoPressure.from_hub(participants=["p_001"], cameras=["d"], + modalities=["rgb", "depth", "pressure", "pose"]) +seq = ep.sequence("p_001", "p_001_press_palm_low_x5_right") +frame = seq.load_frame(60, depth=True) # rgb, depth, force, annotation +frame.show(camera="d", overlays=["mesh", "skeleton", "pressure"]) +``` + +The toolkit's [data reference](https://github.com/eth-siplab/EgoPressure/blob/master/docs/DATA.md) +documents every field, unit, and convention. + +## Download without the toolkit + +Everything is sharded by participant / sequence / camera / modality, so plain +`huggingface_hub` works too: + +```python +from huggingface_hub import snapshot_download + +snapshot_download("eth-siplab/EgoPressure", repo_type="dataset", + local_dir="egopressure_data", + allow_patterns=["configs/p_001/*", + "data/p_001/*/cam-d.color.parquet", + "data/p_001/*/pressure.parquet", + "data/p_001/*/annotation.parquet"]) +``` + +### Layout + +``` +configs//.json # camera calibration + metadata +configs//_k4a/ # per-camera factory calibrations +data/// + cam-d.color.parquet cam-1.color.parquet ... cam-7.color.parquet + cam-d.depth.parquet cam-1.depth.parquet ... cam-7.depth.parquet + cam-d.mask.parquet cam-1.mask.parquet ... cam-7.mask.parquet + pressure.parquet # Sensel grid + UV pressure + annotation.parquet # MANO pose/mesh + ego pose +``` + +Each Parquet shard holds one row per frame (`frame` column). + +### Modalities + +| Shard | Content | +|---|---| +| `cam-*.color` | RGB frames as original JPEG bytes (ego `d`: 1920×1080; static `1..7`: 2560×1440; undistorted) | +| `cam-*.depth` | 512×512 uint16 depth in millimetres (PNG bytes), all 8 cameras; depth-sensor frame, covering the camera's color view (+32 px guard band) — `0` = no measurement | +| `cam-*.mask` | hand segmentation masks (PNG bytes) | +| `pressure` | raw Sensel Morph grid (105×185 float32, flattened) + normalised 224×224 UV pressure map with `[min, max]` range | +| `annotation` | MANO `vertices (778×3)`, `joint_position (21×3)`, `betas (10)`, `full_pose (48)`, `transl`, `normals`, `displacement`, per-static-camera `visible_vertices (7×778)`, per-frame egocentric camera pose (`ego_R` 3×3, `ego_T` 3) | + +### Geometry essentials + +- World origin on the touchpad surface (the calibrated 240 × 137.5 mm pad + rectangle, x–y plane at z = 0); MANO vertices and the ego pose are in **metres**, static-camera + `ModelViewMatrix` extrinsics in **millimetres**. +- Images are undistorted → plain pinhole projection with the config intrinsics. +- Depth maps are in each camera's **depth-sensor frame** (not registered to + color) and cover the region co-visible with that camera's color image; + `configs/

/_k4a/` holds the factory calibrations — the toolkit's + `register_depth_to_color()` produces pixel-aligned RGB-D. +- Raw sensor counts convert to Newtons via `counts / 1736` (cell pitch 1.25 mm). + +## License & citation + +Released under **CC BY-NC-SA 4.0** (non-commercial, academic). MANO-derived +annotations are additionally subject to the +[MANO license](https://mano.is.tue.mpg.de/license.html). + +```bibtex +@InProceedings{Zhao_2025_CVPR, + author = {Zhao, Yiming and Kwon, Taein and Streli, Paul and Pollefeys, Marc and Holz, Christian}, + title = {EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision}, + booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, + month = {June}, + year = {2025}, + pages = {27727--27738} +} +``` diff --git a/EgoPressure/raw/doc/download_manifest.json b/EgoPressure/raw/doc/download_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6178181335e62e4804d0a564c214a3af0a19bea1 --- /dev/null +++ b/EgoPressure/raw/doc/download_manifest.json @@ -0,0 +1,120967 @@ +{ + "repo": "eth-siplab/EgoPressure", + "revision": "cea37de99be44078f0e4b9796fd6f614d9110dc2", + "files": [ + { + "type": "file", + "oid": 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concurrent.futures import ThreadPoolExecutor +from datetime import datetime, timezone +from pathlib import Path + +import requests + +ROOT = Path(r"E:\Data\EgoPressure") +BASE = "https://hf-mirror.com" +REPO = "eth-siplab/EgoPressure" +DOC = ROOT / "raw/doc" +DATA = ROOT / "raw/data" +gate = threading.Lock() +state_lock = threading.RLock() +next_request = 0.0 +state = {} +active = {} +cached = {} + + +def log(message): + print(datetime.now().astimezone().isoformat(timespec="seconds"), message, flush=True) + + +def throttle(delay=1.5): + global next_request + with gate: + wait = next_request - time.monotonic() + if wait > 0: + time.sleep(wait) + next_request = time.monotonic() + delay + + +def save_status(): + with state_lock: + report = dict(state) + report["updated_utc"] = datetime.now(timezone.utc).isoformat() + report["active"] = dict(active) + report["partial_bytes"] = sum(v["bytes"] for v in active.values()) + tmp = DOC / "download_status.json.tmp" + tmp.write_text(json.dumps(report, indent=2), encoding="utf-8") + tmp.replace(DOC / "download_status.json") + + +def heartbeat(done): + while not done.wait(10): + save_status() + + +def valid_file(path, item): + if not path.exists() or path.stat().st_size != item["size"]: + return False + lfs = item.get("lfs", {}).get("oid") + h = hashlib.sha256() if lfs else hashlib.sha1() + if not lfs: + h.update(f"blob {item['size']}\0".encode()) + with path.open("rb") as stream: + for chunk in iter(lambda: stream.read(8 * 1024 * 1024), b""): + h.update(chunk) + return h.hexdigest() == (lfs or item["oid"]) + + +def main(): + DOC.mkdir(parents=True, exist_ok=True) + DATA.mkdir(parents=True, exist_ok=True) + lock_file = (DOC / "download.lock").open("a+b") + lock_file.seek(0) + if not lock_file.read(1): + lock_file.write(b"0") + lock_file.flush() + lock_file.seek(0) + msvcrt.locking(lock_file.fileno(), msvcrt.LK_NBLCK, 1) + manifest_path = DOC / "download_manifest.json" + if manifest_path.exists(): + manifest = json.loads(manifest_path.read_text(encoding="utf-8-sig")) + else: + r = requests.get(f"{BASE}/api/datasets/{REPO}", timeout=(20, 60)) + r.raise_for_status() + revision = r.json()["sha"] + files = [] + url = f"{BASE}/api/datasets/{REPO}/tree/{revision}?recursive=true&limit=1000" + while url: + throttle() + r = requests.get(url, timeout=(20, 60)) + r.raise_for_status() + files.extend(x for x in r.json() if x["type"] == "file" and ( + x["path"].startswith("configs/") or x["path"].endswith(( + "/cam-d.color.parquet", "/cam-d.depth.parquet", "/annotation.parquet")))) + url = r.links.get("next", {}).get("url") + if url: + url = url.replace("https://huggingface.co", BASE) + manifest = {"repo": REPO, "revision": revision, "files": files, + "bytes": sum(x["size"] for x in files)} + manifest_path.write_text(json.dumps(manifest, indent=2), encoding="utf-8") + if manifest["repo"] != REPO: + raise ValueError("Unexpected manifest repository") + revision = manifest["revision"] + files = sorted(manifest["files"], key=lambda x: (x["path"].startswith("configs/"), x["path"])) + state.update(status="running", stage="verify_existing", revision=revision, total_files=len(files), + total_bytes=sum(x["size"] for x in files), completed_files=0, + completed_bytes=0, retries=0, + integrity_algorithm="source_lfs_sha256_or_git_blob_sha1") + save_status() + done = threading.Event() + thread = threading.Thread(target=heartbeat, args=(done,), daemon=True) + thread.start() + log("Verifying all existing files against pinned source hashes before resuming") + pending = [] + for index, item in enumerate(files): + path = DATA / item["path"] + if valid_file(path, item): + with state_lock: + state["completed_files"] += 1 + state["completed_bytes"] += item["size"] + cached[item["oid"]] = path + else: + pending.append(item) + if index % 128 == 0: + log(f"Verified {state['completed_files']} files / {state['completed_bytes']} bytes") + save_status() + state["stage"] = "download_remaining" + save_status() + log(f"Selected {len(files)} files / {state['total_bytes']} bytes; already verified {state['completed_files']}") + + def download(item): + name = item["path"] + path = DATA / name + path.parent.mkdir(parents=True, exist_ok=True) + part = path.with_name(path.name + ".part") + attempt = 0 + while True: + try: + with state_lock: + source = cached.get(item["oid"]) + if source and source != path: + shutil.copyfile(source, part) + if not (part.exists() and part.stat().st_size == item["size"]): + offset = part.stat().st_size if part.exists() else 0 + if offset > item["size"]: + raise ValueError("Partial file exceeds expected size") + with state_lock: + active[name] = {"bytes": offset, "size": item["size"]} + throttle() + if name.startswith("configs/"): + sources = [("https://huggingface.co", "raw"), (BASE, "raw"), (BASE, "resolve")] + else: + sources = [(BASE, "resolve"), ("https://huggingface.co", "resolve")] + endpoint, route = sources[attempt % len(sources)] + with requests.get(f"{endpoint}/datasets/{REPO}/{route}/{revision}/{name}", + headers={"Range": f"bytes={offset}-"} if offset else {}, + stream=True, timeout=(30, 90)) as r: + r.raise_for_status() + append = offset > 0 and r.status_code == 206 + if r.status_code == 206 and not r.headers.get("Content-Range", "").startswith(f"bytes {offset}-"): + raise ValueError("Unexpected Content-Range") + if not append: + offset = 0 + with part.open("ab" if append else "wb") as stream: + for chunk in r.iter_content(1024 * 1024): + stream.write(chunk) + offset += len(chunk) + with state_lock: + active[name] = {"bytes": offset, "size": item["size"]} + if not valid_file(part, item): + if part.exists() and part.stat().st_size >= item["size"]: + part.unlink() + raise ValueError("Size or source checksum mismatch") + part.replace(path) + with state_lock: + active.pop(name, None) + cached[item["oid"]] = path + state["completed_files"] += 1 + state["completed_bytes"] += item["size"] + log(f"OK {name}") + save_status() + return + except Exception as exc: + attempt += 1 + response = getattr(exc, "response", None) + retry_after = response.headers.get("Retry-After", "0") if response is not None else "0" + wait = max(60 if response is not None and response.status_code == 429 else 10, + min(300, 2 ** min(attempt, 8)), + int(retry_after) if retry_after.isdigit() else 0) + with state_lock: + state["retries"] += 1 + state["last_error"] = f"{name}: {type(exc).__name__}: {str(exc)[:250]}" + log(f"RETRY in {wait}s {name}: {type(exc).__name__}: {str(exc)[:200]}") + save_status() + time.sleep(wait) + + try: + with ThreadPoolExecutor(max_workers=2) as pool: + list(pool.map(download, pending)) + state["status"] = "complete" + state["stage"] = "complete" + state["all_source_hashes_verified"] = True + (DOC / "DOWNLOAD_COMPLETE.json").write_text(json.dumps(state, indent=2), encoding="utf-8") + log("DOWNLOAD COMPLETE") + finally: + done.set() + thread.join() + save_status() + lock_file.close() + + +if __name__ == "__main__": + main() diff --git a/EgoPressure/raw/script/upload_egopressure_raw.py b/EgoPressure/raw/script/upload_egopressure_raw.py new file mode 100644 index 0000000000000000000000000000000000000000..6a33078f7d64150e99f2f5720a72282804b11191 --- /dev/null +++ b/EgoPressure/raw/script/upload_egopressure_raw.py @@ -0,0 +1,228 @@ +"""Publish only the verified original EgoPressure subset; never convert data.""" +import argparse +import hashlib +import json +import msvcrt +import os +import shutil +import sys +import threading +import time +from datetime import datetime, timezone +from pathlib import Path + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--root", type=Path, default=Path(r"E:\Data\EgoPressure")) + parser.add_argument("--work", type=Path, default=Path.cwd() / "work") + args = parser.parse_args() + root, work = args.root.resolve(), args.work.resolve() + work.mkdir(parents=True, exist_ok=True) + runtime = work / "hf_upload_runtime" + if runtime.is_dir(): + sys.path.insert(0, str(runtime)) + from huggingface_hub import HfApi + from huggingface_hub.hf_api import RepoFile + from huggingface_hub.errors import EntryNotFoundError + from huggingface_hub._local_folder import LocalUploadFileMetadata, get_local_upload_paths, read_upload_metadata + + repo = "ParityLab/Hand-Datasets-Raw" + prefix = "EgoPressure/raw/" + raw = root / "raw" + stage = root / ".upload_stage" + staged_raw = stage / "EgoPressure/raw" + lock = (work / "egopressure_upload.lock").open("a+b") + lock.seek(0) + if not lock.read(1): + lock.write(b"0") + lock.flush() + lock.seek(0) + msvcrt.locking(lock.fileno(), msvcrt.LK_NBLCK, 1) + manifest = json.loads((raw / "doc/download_manifest.json").read_text(encoding="utf-8-sig")) + complete = json.loads((raw / "doc/DOWNLOAD_COMPLETE.json").read_text(encoding="utf-8-sig")) + assert complete.get("all_source_hashes_verified") is True + assert complete["revision"] == manifest["revision"] + assert complete["completed_files"] == len(manifest["files"]) == 16128 + assert complete["completed_bytes"] == manifest["bytes"] == 179324199419 + state = {"phase": "preflight", "repo": repo, "remote_prefix": prefix, + "source_revision": manifest["revision"], "data_files": len(manifest["files"]), + "data_bytes": manifest["bytes"], "pid": os.getpid(), "processing_started": False} + state_lock = threading.RLock() + + def save(**updates): + with state_lock: + state.update(updates) + state["updated_utc"] = datetime.now(timezone.utc).isoformat() + tmp = work / "egopressure_upload_status.json.tmp" + tmp.write_text(json.dumps(state, indent=2), encoding="utf-8") + tmp.replace(work / "egopressure_upload_status.json") + + def log(message): + print(datetime.now().astimezone().isoformat(timespec="seconds"), message, flush=True) + + def digest(path, lfs): + h = hashlib.sha256() if lfs else hashlib.sha1() + if not lfs: + h.update(f"blob {path.stat().st_size}\0".encode()) + with path.open("rb") as f: + for chunk in iter(lambda: f.read(8 * 1024 * 1024), b""): + h.update(chunk) + return h.hexdigest() + + def remote_matches(remote, path): + if remote.size != path.stat().st_size: + return False + if remote.lfs: + return remote.lfs.sha256 == digest(path, True) + return remote.blob_id == digest(path, False) + + api = HfApi(endpoint="https://huggingface.co") + expected = {} + done = threading.Event() + try: + save() + info = api.repo_info(repo, repo_type="dataset") + save(remote_revision_before=info.sha) + # Read before writing; never replace unrelated or conflicting paths. + try: + existing = [f for f in api.list_repo_tree(repo, path_in_repo="EgoPressure/raw", + recursive=True, repo_type="dataset", revision=info.sha) if isinstance(f, RepoFile)] + except EntryNotFoundError: + existing = [] + for item in manifest["files"]: + src = raw / "data" / item["path"] + if not src.is_file() or src.stat().st_size != item["size"]: + raise RuntimeError("Missing or changed raw file: " + item["path"]) + part = src.with_name(src.name + ".part") + if part.exists(): + raise RuntimeError("Unfinished raw shard: " + item["path"]) + dest = staged_raw / "data" / item["path"] + dest.parent.mkdir(parents=True, exist_ok=True) + if dest.exists(): + if not os.path.samefile(src, dest): + raise RuntimeError("Staging path conflicts with raw source: " + str(dest)) + else: + os.link(src, dest) # Same-volume hard link: no duplicate 167 GiB copy. + expected[prefix + "data/" + item["path"]] = { + "path": dest, "size": item["size"], "sha256": item.get("lfs", {}).get("oid"), + "source_git_blob": item["oid"] if not item.get("lfs") else None} + doc = staged_raw / "doc" + scripts = staged_raw / "script" + doc.mkdir(parents=True, exist_ok=True) + scripts.mkdir(parents=True, exist_ok=True) + source = { + "dataset": "EgoPressure", "source_repo": manifest["repo"], + "source_revision": manifest["revision"], "source_url": "https://huggingface.co/datasets/eth-siplab/EgoPressure", + "selection": {"participants": "all 21", "sequences": 1344, "camera": "d (egocentric)", + "modalities": ["RGB", "depth", "MANO and ego pose annotations", "all original configs"]}, + "excluded": ["exocentric RGB/depth", "pressure", "segmentation masks"], + "format": "Unmodified official Parquet shards and calibration JSON; no decoding or conversion", + "raw_layout": "data/configs// and data/data///", + "license": "CC-BY-NC-SA-4.0; MANO-derived annotations additionally subject to the MANO license", + "attribution": "Yiming Zhao, Taein Kwon, Paul Streli, Marc Pollefeys, Christian Holz. EgoPressure, CVPR 2025.", + "upload_state": "This metadata is not proof of complete remote upload. See REMOTE_UPLOAD_COMPLETE.json."} + (doc / "SOURCE.json").write_text(json.dumps(source, indent=2), encoding="utf-8") + shutil.copyfile(raw / "doc/download_manifest.json", doc / "download_manifest.json") + shutil.copyfile(raw / "doc/DOWNLOAD_COMPLETE.json", doc / "SOURCE_HASH_VERIFICATION.json") + shutil.copyfile(raw / "script/download_egopressure.py", scripts / "download_egopressure.py") + shutil.copyfile(Path(__file__), scripts / "upload_egopressure_raw.py") + # Preserve official attribution and license notice verbatim at the pinned revision. + import requests + r = requests.get(f"https://huggingface.co/datasets/{manifest['repo']}/raw/{manifest['revision']}/README.md", timeout=(20, 60)) + r.raise_for_status() + (doc / "SOURCE_README.md").write_bytes(r.content) + for folder in (doc, scripts): + for path in folder.iterdir(): + if not path.is_file(): + raise RuntimeError("Unexpected staged directory") + relative = path.relative_to(stage).as_posix() + expected[relative] = {"path": path, "size": path.stat().st_size, + "sha256": digest(path, True), "source_git_blob": digest(path, False)} + unexpected = [p.relative_to(stage).as_posix() for p in staged_raw.rglob("*") + if p.is_file() and p.relative_to(stage).as_posix() not in expected] + if unexpected: + raise RuntimeError("Unexpected files in upload staging: " + repr(unexpected[:20])) + conflicts = [] + for remote in existing: + if remote.path in expected and not remote_matches(remote, expected[remote.path]["path"]): + conflicts.append(remote.path) + if conflicts: + raise RuntimeError("Remote conflicts, refusing overwrite: " + repr(conflicts)) + save(phase="prepare_upload_cache", staged_files=len(expected), existing_remote_files=len(existing)) + # Reuse the source SHA256 only after full source-hash verification, not untrusted size-only checks. + for name, item in expected.items(): + metadata = read_upload_metadata(stage, name) + if metadata.sha256 is None: + metadata.sha256 = item["sha256"] or digest(item["path"], True) + metadata.save(get_local_upload_paths(stage, name)) + # A tiny first authorized commit proves actual token write access before the resilient bulk loop. + commit = api.upload_file(repo_id=repo, repo_type="dataset", path_in_repo=prefix + "doc/SOURCE.json", + path_or_fileobj=str(doc / "SOURCE.json"), + commit_message="Document verified EgoPressure original ego RGB-D and MANO subset") + save(phase="uploading", write_access_verified=True, first_upload_commit=commit.oid) + log(f"Uploading {len(expected)} verified original files to {repo}/{prefix}") + + def report_progress(): + while not done.wait(60): + counts = {"hashed_files": 0, "committed_files": 0, "committed_bytes": 0} + for name, item in expected.items(): + try: + meta = read_upload_metadata(stage, name) + counts["hashed_files"] += int(meta.sha256 is not None) + counts["committed_files"] += int(meta.is_committed) + if meta.is_committed: + counts["committed_bytes"] += item["size"] + except OSError: + pass + save(**counts) + monitor = threading.Thread(target=report_progress, daemon=True) + monitor.start() + api.upload_large_folder(repo_id=repo, repo_type="dataset", folder_path=stage, revision="main", + allow_patterns=["EgoPressure/raw/*"], num_workers=4, print_report_every=60) + done.set() + monitor.join() + save(phase="verify_remote") + after = api.repo_info(repo, repo_type="dataset") + remote = {f.path: f for f in api.list_repo_tree(repo, path_in_repo="EgoPressure/raw", recursive=True, + repo_type="dataset", revision=after.sha) if isinstance(f, RepoFile)} + problems = [] + for name, item in expected.items(): + f = remote.get(name) + if not f or f.size != item["size"]: + problems.append(name) + continue + if f.lfs: + sha = item["sha256"] or digest(item["path"], True) + matches = f.lfs.sha256 == sha + else: + git = item["source_git_blob"] or digest(item["path"], False) + matches = f.blob_id == git + if not matches: + problems.append(name) + if problems: + raise RuntimeError("Remote integrity check failed: " + repr(problems[:30])) + receipt = {"repo": repo, "verified_revision": after.sha, "remote_prefix": prefix, + "source_revision": manifest["revision"], "raw_files_verified": len(manifest["files"]), + "raw_bytes_verified": manifest["bytes"], "published_files_verified": len(expected), + "verification": "all remote file sizes and LFS SHA256 or Git blob SHA1 match local verified files", + "verified_utc": datetime.now(timezone.utc).isoformat(), "processing_started": False} + payload = json.dumps(receipt, indent=2).encode() + final = api.upload_file(repo_id=repo, repo_type="dataset", path_in_repo=prefix + "doc/REMOTE_UPLOAD_COMPLETE.json", + path_or_fileobj=payload, commit_message="Record verified complete EgoPressure raw subset upload") + receipt["completion_commit"] = final.oid + (work / "egopressure_raw_upload_complete.json").write_text(json.dumps(receipt, indent=2), encoding="utf-8") + save(phase="complete", upload_commit=final.oid, verified_revision=after.sha, + committed_files=len(expected), committed_bytes=sum(x["size"] for x in expected.values()), + raw_remote_hashes_verified=True) + log("RAW UPLOAD COMPLETE AND VERIFIED " + final.oid) + except Exception as exc: + save(phase="failed", error_type=type(exc).__name__, error=str(exc)[:500]) + raise + finally: + done.set() + lock.close() + + +if __name__ == "__main__": + main()