| |
| """Browser app for visualizing merged LIBERO HDF5 trajectories.""" |
|
|
| from __future__ import annotations |
|
|
| import argparse |
| import base64 |
| import io |
| import json |
| import re |
| import threading |
| from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer |
| from pathlib import Path |
| from urllib.parse import parse_qs, urlparse |
|
|
| import h5py |
| import numpy as np |
| from PIL import Image |
|
|
|
|
| SCRIPT_DIR = Path(__file__).resolve().parent |
| DEFAULT_DATASETS_DIR = SCRIPT_DIR / "datasets" |
| APP_STATE = {"datasets_dir": DEFAULT_DATASETS_DIR} |
| LOCK = threading.Lock() |
|
|
|
|
| def natural_demo_key(name: str) -> int: |
| match = re.fullmatch(r"demo_(\d+)", name) |
| return int(match.group(1)) if match else 10**9 |
|
|
|
|
| def decode_value(value): |
| if isinstance(value, bytes): |
| return value.decode("utf-8") |
| if isinstance(value, np.generic): |
| return value.item() |
| return value |
|
|
|
|
| def json_value(value): |
| value = decode_value(value) |
| if isinstance(value, np.ndarray): |
| return value.tolist() |
| return value |
|
|
|
|
| def image_to_data_url(array: np.ndarray) -> str: |
| flipped = np.ascontiguousarray(np.flipud(array).astype(np.uint8)) |
| image = Image.fromarray(flipped, mode="RGB") |
| buffer = io.BytesIO() |
| image.save(buffer, format="PNG") |
| encoded = base64.b64encode(buffer.getvalue()).decode("ascii") |
| return f"data:image/png;base64,{encoded}" |
|
|
|
|
| def suite_paths() -> list[Path]: |
| root = APP_STATE["datasets_dir"] |
| return sorted(path for path in root.iterdir() if path.is_dir()) |
|
|
|
|
| def hdf5_files(suite: str) -> list[Path]: |
| return sorted((APP_STATE["datasets_dir"] / suite).glob("*.hdf5")) |
|
|
|
|
| def read_task_label(path: Path) -> str: |
| try: |
| with h5py.File(path, "r") as f: |
| info = f["data"].attrs.get("problem_info") |
| if info: |
| info = decode_value(info) |
| return json.loads(info).get("language_instruction", path.stem) |
| except Exception: |
| pass |
| return path.stem.replace("_demo", "").replace("_", " ") |
|
|
|
|
| def selected_file(suite: str, task: str) -> Path: |
| path = APP_STATE["datasets_dir"] / suite / task |
| root = (APP_STATE["datasets_dir"] / suite).resolve() |
| resolved = path.resolve() |
| if root not in resolved.parents or not resolved.exists() or resolved.suffix != ".hdf5": |
| raise ValueError("Invalid task file") |
| return resolved |
|
|
|
|
| def read_metadata() -> dict: |
| suites = [] |
| for suite_path in suite_paths(): |
| files = [] |
| for path in hdf5_files(suite_path.name): |
| files.append({"file": path.name, "label": read_task_label(path)}) |
| suites.append({"name": suite_path.name, "tasks": files}) |
| return {"suites": suites} |
|
|
|
|
| def read_demos(suite: str, task: str) -> dict: |
| path = selected_file(suite, task) |
| with h5py.File(path, "r") as f: |
| demos = [] |
| for name in sorted(f["data"].keys(), key=natural_demo_key): |
| group = f[f"data/{name}"] |
| demos.append({"name": name, "frames": int(group["actions"].shape[0])}) |
| attrs = {k: json_value(v) for k, v in f["data"].attrs.items()} |
| return {"demos": demos, "attrs": attrs} |
|
|
|
|
| def read_frame(suite: str, task: str, demo: str, frame: int) -> dict: |
| path = selected_file(suite, task) |
| with LOCK, h5py.File(path, "r") as f: |
| group = f[f"data/{demo}"] |
| frame_count = int(group["actions"].shape[0]) |
| frame = max(0, min(frame, frame_count - 1)) |
|
|
| def arr(name: str): |
| return np.asarray(group[name][frame]) |
|
|
| logical_state = decode_value(group["logical_states"][frame]) |
| logical_action = decode_value(group["logical_actions"][frame]) |
| try: |
| parsed_state = json.loads(logical_state) |
| except Exception: |
| parsed_state = logical_state |
|
|
| return { |
| "frame": frame, |
| "frames": frame_count, |
| "agentview_rgb": image_to_data_url(arr("obs/agentview_rgb")), |
| "eye_in_hand_rgb": image_to_data_url(arr("obs/eye_in_hand_rgb")), |
| "logical_action": logical_action, |
| "logical_state": parsed_state, |
| "robot_action": arr("actions").round(6).tolist(), |
| "robot_states": arr("robot_states").round(6).tolist(), |
| "ee_pos": arr("obs/ee_pos").round(6).tolist(), |
| "ee_ori": arr("obs/ee_ori").round(6).tolist(), |
| "gripper_states": arr("obs/gripper_states").round(6).tolist(), |
| "joint_states": arr("obs/joint_states").round(6).tolist(), |
| "reward": json_value(group["rewards"][frame]), |
| "done": json_value(group["dones"][frame]), |
| } |
|
|
|
|
| HTML = r"""<!doctype html> |
| <html> |
| <head> |
| <meta charset="utf-8"> |
| <meta name="viewport" content="width=device-width, initial-scale=1"> |
| <title>LIBERO Dataset Viewer</title> |
| <style> |
| :root { |
| color-scheme: light; |
| font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; |
| background: #f6f7f9; |
| color: #1d232f; |
| } |
| * { box-sizing: border-box; } |
| body { margin: 0; } |
| header { |
| height: 56px; |
| display: flex; |
| align-items: center; |
| gap: 18px; |
| padding: 0 20px; |
| background: #ffffff; |
| border-bottom: 1px solid #d9dde5; |
| } |
| h1 { margin: 0; font-size: 18px; font-weight: 650; } |
| .subtle { color: #667085; font-size: 13px; } |
| main { padding: 16px 20px 24px; } |
| .controls { |
| display: grid; |
| grid-template-columns: 150px minmax(320px, 1.4fr) minmax(150px, .55fr) minmax(280px, 1fr) 90px 72px; |
| gap: 10px; |
| align-items: end; |
| margin-bottom: 14px; |
| } |
| label { display: grid; gap: 5px; font-size: 12px; color: #475467; font-weight: 600; } |
| select, input[type="range"], input[type="number"], button { |
| min-width: 0; |
| height: 34px; |
| border: 1px solid #cfd5df; |
| background: #ffffff; |
| color: #1d232f; |
| border-radius: 6px; |
| padding: 0 10px; |
| font: inherit; |
| } |
| button { cursor: pointer; min-width: 38px; font-weight: 650; } |
| button:hover { background: #eef2f7; } |
| .frame-control { display: grid; grid-template-columns: 1fr 86px; gap: 8px; align-items: center; } |
| #demo { width: 100%; } |
| #frame { width: 100%; } |
| #frameNum { width: 86px; } |
| .layout { |
| display: grid; |
| grid-template-columns: minmax(360px, 1.1fr) minmax(360px, .9fr); |
| gap: 16px; |
| align-items: start; |
| } |
| .panel { |
| background: #ffffff; |
| border: 1px solid #d9dde5; |
| border-radius: 8px; |
| overflow: hidden; |
| } |
| .panel h2 { |
| margin: 0; |
| padding: 10px 12px; |
| font-size: 14px; |
| border-bottom: 1px solid #e5e8ee; |
| background: #fbfcfe; |
| } |
| .images { |
| display: grid; |
| grid-template-columns: repeat(2, minmax(0, 1fr)); |
| gap: 12px; |
| padding: 12px; |
| } |
| figure { margin: 0; } |
| figcaption { font-size: 12px; color: #667085; margin-bottom: 5px; } |
| img { |
| width: 100%; |
| image-rendering: pixelated; |
| border: 1px solid #d9dde5; |
| border-radius: 6px; |
| background: #20242c; |
| aspect-ratio: 1 / 1; |
| object-fit: contain; |
| } |
| .kv { padding: 12px; display: grid; gap: 10px; } |
| .metric-grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 8px; } |
| .metric { border: 1px solid #e5e8ee; border-radius: 6px; padding: 8px; background: #fbfcfe; } |
| .metric span { display: block; font-size: 11px; color: #667085; margin-bottom: 4px; } |
| .metric strong { font-size: 14px; } |
| pre { |
| margin: 0; |
| padding: 12px; |
| white-space: pre-wrap; |
| overflow-wrap: anywhere; |
| max-height: 340px; |
| overflow: auto; |
| background: #101828; |
| color: #eef4ff; |
| font-size: 12px; |
| line-height: 1.45; |
| } |
| .inline-json { |
| display: block; |
| margin: 0; |
| padding: 8px; |
| max-height: 220px; |
| overflow: auto; |
| border-radius: 6px; |
| } |
| table { width: 100%; border-collapse: collapse; font-size: 12px; } |
| td { padding: 6px 8px; border-bottom: 1px solid #edf0f5; vertical-align: top; } |
| td:first-child { width: 130px; color: #667085; font-weight: 650; } |
| @media (max-width: 1100px) { |
| .controls { grid-template-columns: minmax(0, 1fr) minmax(0, 1fr); } |
| .layout { grid-template-columns: 1fr; } |
| } |
| @media (max-width: 680px) { |
| .controls { grid-template-columns: minmax(0, 1fr); } |
| } |
| </style> |
| </head> |
| <body> |
| <header> |
| <h1>LIBERO Dataset Viewer</h1> |
| <div class="subtle" id="summary"></div> |
| </header> |
| <main> |
| <section class="controls"> |
| <label>Suite<select id="suite"></select></label> |
| <label>Task<select id="task"></select></label> |
| <label>Demo<select id="demo"></select></label> |
| <label>Frame<div class="frame-control"><input id="frame" type="range" min="0" value="0"><input id="frameNum" type="number" min="0" value="0"></div></label> |
| <label>FPS<select id="fps"><option>5</option><option selected>10</option><option>15</option><option>20</option></select></label> |
| <button id="play">Play</button> |
| </section> |
| |
| <section class="layout"> |
| <div class="panel"> |
| <h2>Images</h2> |
| <div class="images"> |
| <figure><figcaption>Agent View</figcaption><img id="agentview"></figure> |
| <figure><figcaption>Eye In Hand</figcaption><img id="eye"></figure> |
| </div> |
| </div> |
| <div class="panel"> |
| <h2>Frame</h2> |
| <div class="kv"> |
| <div class="metric-grid"> |
| <div class="metric"><span>Frame</span><strong id="frameLabel">0</strong></div> |
| <div class="metric"><span>Total</span><strong id="totalLabel">0</strong></div> |
| <div class="metric"><span>Reward</span><strong id="reward">0</strong></div> |
| <div class="metric"><span>Done</span><strong id="done">0</strong></div> |
| </div> |
| <table> |
| <tbody> |
| <tr><td>Logical Action</td><td id="logicalAction"></td></tr> |
| <tr><td>Logical State</td><td><pre class="inline-json" id="logicalState"></pre></td></tr> |
| <tr><td>Robot Action</td><td><code id="robotAction"></code></td></tr> |
| <tr><td>EE Position</td><td><code id="eePos"></code></td></tr> |
| <tr><td>EE Orientation</td><td><code id="eeOri"></code></td></tr> |
| <tr><td>Gripper</td><td><code id="gripper"></code></td></tr> |
| </tbody> |
| </table> |
| </div> |
| </div> |
| </section> |
| </main> |
| |
| <script> |
| const $ = id => document.getElementById(id); |
| let meta = null, demos = [], timer = null, loading = false; |
| |
| async function api(path) { |
| const res = await fetch(path); |
| if (!res.ok) throw new Error(await res.text()); |
| return await res.json(); |
| } |
| function option(select, value, text) { |
| const el = document.createElement('option'); |
| el.value = value; |
| el.textContent = text; |
| select.appendChild(el); |
| } |
| function fmt(v) { |
| return JSON.stringify(v, null, 2); |
| } |
| function fmtLogicalState(state) { |
| if (!Array.isArray(state)) return String(state); |
| return state.map(predicate => { |
| if (!Array.isArray(predicate) || predicate.length === 0) return String(predicate); |
| const [name, ...args] = predicate; |
| return `${name}(${args.join(', ')})`; |
| }).join('\n'); |
| } |
| function currentSuiteObj() { |
| return meta.suites.find(s => s.name === $('suite').value); |
| } |
| async function loadMeta() { |
| meta = await api('/api/meta'); |
| $('suite').innerHTML = ''; |
| meta.suites.forEach(s => option($('suite'), s.name, s.name)); |
| $('summary').textContent = `${meta.suites.length} suites`; |
| await loadTasks(); |
| } |
| async function loadTasks() { |
| const suite = currentSuiteObj(); |
| $('task').innerHTML = ''; |
| suite.tasks.forEach(t => option($('task'), t.file, t.label)); |
| await loadDemos(); |
| } |
| async function loadDemos() { |
| const data = await api(`/api/demos?suite=${encodeURIComponent($('suite').value)}&task=${encodeURIComponent($('task').value)}`); |
| demos = data.demos; |
| $('demo').innerHTML = ''; |
| demos.forEach(d => option($('demo'), d.name, `${d.name} (${d.frames} frames)`)); |
| configureFrame(0); |
| await loadFrame(0); |
| } |
| function configureFrame(frame) { |
| const demo = demos.find(d => d.name === $('demo').value); |
| const maxFrame = Math.max(0, (demo ? demo.frames : 1) - 1); |
| $('frame').max = maxFrame; |
| $('frameNum').max = maxFrame; |
| $('frame').value = Math.min(frame, maxFrame); |
| $('frameNum').value = Math.min(frame, maxFrame); |
| } |
| async function loadFrame(frame) { |
| if (loading) return; |
| loading = true; |
| try { |
| configureFrame(frame); |
| const q = new URLSearchParams({ |
| suite: $('suite').value, |
| task: $('task').value, |
| demo: $('demo').value, |
| frame: $('frame').value |
| }); |
| const data = await api(`/api/frame?${q}`); |
| $('agentview').src = data.agentview_rgb; |
| $('eye').src = data.eye_in_hand_rgb; |
| $('frameLabel').textContent = data.frame; |
| $('totalLabel').textContent = data.frames; |
| $('reward').textContent = data.reward; |
| $('done').textContent = data.done; |
| $('logicalAction').textContent = data.logical_action; |
| $('robotAction').textContent = fmt(data.robot_action); |
| $('eePos').textContent = fmt(data.ee_pos); |
| $('eeOri').textContent = fmt(data.ee_ori); |
| $('gripper').textContent = fmt(data.gripper_states); |
| $('logicalState').textContent = fmtLogicalState(data.logical_state); |
| } finally { |
| loading = false; |
| } |
| } |
| function stop() { |
| if (timer) clearInterval(timer); |
| timer = null; |
| $('play').textContent = 'Play'; |
| } |
| function togglePlay() { |
| if (timer) return stop(); |
| $('play').textContent = 'Pause'; |
| timer = setInterval(() => { |
| const next = Number($('frame').value) + 1; |
| if (next > Number($('frame').max)) return stop(); |
| $('frame').value = next; |
| $('frameNum').value = next; |
| loadFrame(next); |
| }, 1000 / Number($('fps').value)); |
| } |
| $('suite').addEventListener('change', () => { stop(); loadTasks(); }); |
| $('task').addEventListener('change', () => { stop(); loadDemos(); }); |
| $('demo').addEventListener('change', () => { stop(); configureFrame(0); loadFrame(0); }); |
| $('frame').addEventListener('input', e => { stop(); $('frameNum').value = e.target.value; loadFrame(Number(e.target.value)); }); |
| $('frameNum').addEventListener('change', e => { stop(); loadFrame(Number(e.target.value)); }); |
| $('play').addEventListener('click', togglePlay); |
| loadMeta().catch(err => { |
| document.body.innerHTML = `<pre>${err.stack || err}</pre>`; |
| }); |
| </script> |
| </body> |
| </html> |
| """ |
|
|
|
|
| class Handler(BaseHTTPRequestHandler): |
| def send_json(self, payload: dict, status: int = 200) -> None: |
| data = json.dumps(payload).encode("utf-8") |
| self.send_response(status) |
| self.send_header("Content-Type", "application/json") |
| self.send_header("Content-Length", str(len(data))) |
| self.end_headers() |
| self.wfile.write(data) |
|
|
| def send_html(self) -> None: |
| data = HTML.encode("utf-8") |
| self.send_response(200) |
| self.send_header("Content-Type", "text/html; charset=utf-8") |
| self.send_header("Content-Length", str(len(data))) |
| self.end_headers() |
| self.wfile.write(data) |
|
|
| def do_GET(self) -> None: |
| try: |
| parsed = urlparse(self.path) |
| query = {k: v[0] for k, v in parse_qs(parsed.query).items()} |
| if parsed.path == "/": |
| self.send_html() |
| elif parsed.path == "/api/meta": |
| self.send_json(read_metadata()) |
| elif parsed.path == "/api/demos": |
| self.send_json(read_demos(query["suite"], query["task"])) |
| elif parsed.path == "/api/frame": |
| self.send_json( |
| read_frame( |
| query["suite"], |
| query["task"], |
| query["demo"], |
| int(query.get("frame", 0)), |
| ) |
| ) |
| else: |
| self.send_json({"error": "Not found"}, 404) |
| except Exception as exc: |
| self.send_json({"error": str(exc)}, 500) |
|
|
| def log_message(self, fmt: str, *args) -> None: |
| print(f"{self.address_string()} - {fmt % args}") |
|
|
|
|
| def main() -> int: |
| parser = argparse.ArgumentParser() |
| parser.add_argument( |
| "--datasets-dir", |
| type=Path, |
| default=DEFAULT_DATASETS_DIR, |
| help="Path to datasets directory. Defaults to ./datasets next to this script.", |
| ) |
| parser.add_argument("--host", default="127.0.0.1") |
| parser.add_argument("--port", type=int, default=8000) |
| args = parser.parse_args() |
|
|
| APP_STATE["datasets_dir"] = args.datasets_dir.expanduser().resolve() |
| if not APP_STATE["datasets_dir"].exists(): |
| raise SystemExit(f"Datasets directory not found: {APP_STATE['datasets_dir']}") |
| if not APP_STATE["datasets_dir"].is_dir(): |
| raise SystemExit(f"Datasets path is not a directory: {APP_STATE['datasets_dir']}") |
|
|
| server = ThreadingHTTPServer((args.host, args.port), Handler) |
| print(f"Serving dataset viewer at http://{args.host}:{args.port}") |
| print(f"Reading datasets from {APP_STATE['datasets_dir']}") |
| server.serve_forever() |
| return 0 |
|
|
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
|
|