#!/usr/bin/python3 """ft-gazed: the gaze service. The headset's eye tracking, corrected, for the pointer. Two settings in ~/.config/frametop.conf (the Gaze page of Frametop Input Settings), read again when the file changes: GAZE_TRACKER=steam|own SteamVR's eye tracker (default), or our own (gaze/tracker/ft-eyes, ft-gaze's source "own"; this service runs it, see below) GAZE_EYE=auto|left|right the eye bias (gazecal.EyeWeights): auto weights each eye by how far off it was at your recent nudges; left or right counts that eye twice as much as the other. Either eye alone carries the gaze when the other isn't seen. Runs ft-gaze (in the dev container), and for every eye tracker sample (90 Hz): 1. drops blinks: both eyes' openness under half its running median (each eye its own), or both lost (the tracker's variance for them, ft-gaze's "unc", over EYE_LOST); Looks down past the screens (pitch under KEYBOARD_PITCH, on no Frametop screen: at the keyboard, through the gap by the nose) aren't sent, so the pointer stays where it was instead of following you down; the tracker often loses an eye there (the lids come down), and that isn't counted as a lost eye either; 2. combines the eyes, each corrected on its own. With SteamVR, that's each eye's own reading (set 2, ft-gaze's "left" and "right"), corrected by its calibration from ft-gazeprobe (calibration.json, reloaded when the probe changes it) plus what the pointer's corrections have taught that eye since (LiveCorrection, saved in pointer-lessons.json), then weighted by the eye bias. A lost or closed eye drops out. Our own tracker keeps its own calibration, so its eyes are used as they come; 3. smooths it with a fixation lock (the running mean of the current fixation, 1 degree); 4. sends it to the pointer helper: "gz ", head-relative degrees (yaw +left, pitch +up). The helper uses it only in gaze mode. Without per-eye calibrations (a calibration from before the probe had the eyes as sources), or with --source, it's the older path: one source, SteamVR's combined gaze (mmap set 1) by default, corrected as a whole. There, with one eye lost or closed, the gaze comes from the other (EyeFallback: that eye's own reading from set 2, plus what it usually reads against the combined gaze, learned while both are seen). SteamVR's combined gaze (set 1) keeps going on one eye too, but holds the lost eye's yaw, so it moves half as far sideways as the eyes do. Before the fallback has learned an eye, set 1 is used as it is; set 2's combined direction is the mean of the eyes' own (off by half of whatever the lost eye reads), so with set 2 that sample is dropped, as is one where the angle between the eyes jumps more than 1.5 degrees from its median. Lessons come back from the helper: when you nudge the gaze-placed pointer with the mouse and click, it sends "lesson ": where the raw gaze was when the mouse took over, and where the pointer was when you clicked (you were looking there). The gap is the tracker's error there. The raw gaze is the one sent, so it also says when that look was (the history of what was sent), and so what each eye read then: - SteamVR: each eye learns its own error, unless the gaze was more than POINTER_GAZE_NUDGE_MAX degrees (frametop.conf, 15 by default; the helper's limit too) past the correction (then it wasn't a nudge onto what you looked at); - our tracker: unless it was more than POINTER_GAZE_NUDGE_MAX off, the look goes to it as a click ("click T YAW PITCH" on @ft_eyes), as the probe's clicks do, and it learns how far the headset has moved on your face. That's what it gets wrong, and after the headset was off, the first click resets it; - either way, how far off each eye was (before the lesson taught it anything) goes to the eye bias, for auto. SteamVR's eye tracking log is followed for the headset going on (its eye model starts over, and the error moves): lessons from before count less then, so the first few after it relearn the offset. Our own tracker (gaze/tracker/ft-eyes) runs here too, in the dev container, while GAZE_TRACKER=own or the gaze probe asks for it ("eyes SECONDS", a lease the probe renews). It reads the eye-camera frames the root service frametop-eyegrab copies (gaze/tracker/install.sh), which copies them only while ft-eyes runs. Checks and calibration (gaze/gazecheck.py): a one-dot quick check when the headset goes on or our tracker asks for a click, and the full calibration when gaze mode comes on without one, both in a panel fixed to the headset (gaze/panel/ft-gazepanel, which this service runs too). Nothing here writes to SteamVR, its eye tracker, or its files: ft-gaze reads the eye tracker's shared memory read-only. Control socket: abstract unix datagram "@ft_gazed": lesson from the pointer helper (see above) calverify the same, the quick check's second step (gazecheck.py) recheck a keyboard correction past POINTER_GAZE_NUDGE_MAX: a quick check status reply: one JSON object forget drop what the lessons taught (the calibration stays) reload read calibration.json and the settings again eyes keep our own tracker running that much longer (at most 120), whatever GAZE_TRACKER says: the probe's lease. Reply: "ok" quickcal the one-dot check now (the calibration if there's none) calibrate the full calibration in the panel calaccept | calquit from the pointer helper while the panel is up: take this dot now (a left click, Meta+J) | close it (a right click, Meta+K) Options: --source action|mmap1|mmap2 (the older one-source path with that source, whatever the settings say; set 2 was a little quieter in the probe, but loses the pointer whenever the tracker loses an eye), -v (a status line every 5 s on stderr), --to NAME (send the gaze to the abstract socket @NAME instead of the pointer helper; for testing: a helper without gaze mode forwards what it doesn't know to its driver). """ import argparse import json import math import os import selectors import signal import socket import statistics import subprocess import sys import time from collections import deque from pathlib import Path sys.path.insert(0, str(Path(__file__).resolve().parent)) from gazecal import (DEFAULT_MODEL, EYE_FOUND, EYE_LOST, MODELS, STATE, Correction, EyeFallback, # noqa: E402 EyeWeights, Fixation, LiveCorrection, SteamEyeLog) from gazecheck import Checks # noqa: E402 REPO = Path(__file__).resolve().parents[1] HELPER = REPO / "gaze" / "build" / "ft-gaze" ME = "\0ft_gazed" POINTER = "\0ft_pointer_helper" EYES_PROG = REPO / "gaze" / "tracker" / "ft-eyes" # our own tracker EYES_PYTHON = REPO / "gaze" / "tracker" / "build" / "venv" / "bin" / "python" # numpy, OpenCV (build.sh) EYES_SOCKET = "\0ft_eyes" # its control socket EYES_CAMS = Path("/dev/shm/frametop-eyes-cams") # the frames it reads (frametop-eyegrab.service) CONF = Path.home() / ".config" / "frametop.conf" CALIBRATION = STATE / "calibration.json" LESSONS = STATE / "pointer-lessons.json" LESSON_LOG = STATE / "pointer-lessons.jsonl" SOURCES = ("action", "mmap1", "mmap2", "left", "right") # the ones with a calibration here SIDES = ("left", "right") # ft-gaze's order, and the sources for each eye alone TRACKERS = ("steam", "own") BIASES = ("auto", "left", "right") NUDGE_MAX = 15.0 # degrees: POINTER_GAZE_NUDGE_MAX's default, the largest lesson taken HISTORY = 12.0 # seconds of the gaze sent, to find a lesson's look (the helper sends it up to 10 s later) LOOK = 0.3 # seconds of samples before that moment make the look (the probe's fixation) RETRY = 3.0 # seconds before starting ft-gaze again EYES_RETRY = 10.0 # seconds before starting ft-eyes again after it stopped on its own EYES_LEASE_MAX = 120.0 SETTLE = 0.3 # seconds after an eye is found again before the fallback learns from it KEYBOARD_PITCH = -20.0 # degrees: gaze under this, on no screen, is a look at the keyboard class PointerLessons(LiveCorrection): """LiveCorrection, with the offset held back: one lesson moves the whole correction by a third of what it measured, not all of it (two alike, half; three, three fifths). In the probe, clicks came thick and fast on a stale calibration, where the error was mostly one offset. Here lessons are few and the calibration is often fresh: in the first live test a 6 degree lesson shifted everything 6 degrees, and the next target, 10 degrees away and 1.4 off before, was 7.1 off (3.6 with this). Near the lesson, the kernel still takes up most of it (5.1 of the 6 degrees).""" RIDGE = [2.0] + LiveCorrection.RIDGE[1:] def log(msg): print(f"ft-gazed: {msg}", file=sys.stderr, flush=True) def read_settings(): """(tracker, eye bias, nudge max) from frametop.conf, defaults for anything missing or unknown.""" conf = {} try: for line in CONF.read_text().splitlines(): line = line.split("#", 1)[0].strip() if "=" in line: k, v = line.split("=", 1) conf[k.strip()] = v.strip().lower() except OSError: pass tracker = conf.get("GAZE_TRACKER", "steam") bias = conf.get("GAZE_EYE", "auto") try: nudge = min(max(float(conf.get("POINTER_GAZE_NUDGE_MAX", NUDGE_MAX)), 1.0), 30.0) # the helper's range except ValueError: nudge = NUDGE_MAX return tracker if tracker in TRACKERS else "steam", bias if bias in BIASES else "auto", nudge def mtime(path): try: return path.stat().st_mtime except OSError: return None class Service: def __init__(self, source, verbose, to=POINTER): self.override, self.verbose, self.to = source, verbose, to self.source = source or "mmap1" # the older path's source STATE.mkdir(parents=True, exist_ok=True) self.tracker, self.bias, self.nudge_max = read_settings() self.conf_mtime = mtime(CONF) self.models = {name: Correction() for name in SOURCES} self.mode = DEFAULT_MODEL self.cal_mtime = None self.lives = {name: PointerLessons() for name in SOURCES} self.weights = {t: EyeWeights(self.bias) for t in TRACKERS} self.dirty = False self.load_calibration() self.load_lessons() self.steam = SteamEyeLog() self.steam.poll() self.refit() self.fix = Fixation(radius=1.0) self.opens = (deque(maxlen=90), deque(maxlen=90)) # left, right self.vergence = deque(maxlen=90) self.fallback = EyeFallback() self.lost = [False, False] self.bad_at = [0.0, 0.0] # sample time an eye was last lost or closed self.counts = {"samples": 0, "sent": 0, "blinks": 0, "one_eye": 0, "one_eye_used": 0, "lost_left": 0, "lost_right": 0, "looking_down": 0, "dropped": 0, "lessons_taken": 0, "refused": 0} self.last_sample = 0.0 self.last = None self.last_kind = None # What was sent, for finding a lesson's look: (sample time, raw as sent, each eye's reading). self.history = deque() self.own = {} # our tracker's last status reply self.own_at = 0.0 self.eyes_proc = None # ft-eyes, while it runs self.eyes_until = 0.0 # the probe's lease (monotonic time) self.eyes_restart_at = 0.0 self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_DGRAM | socket.SOCK_CLOEXEC | socket.SOCK_NONBLOCK) self.sock.bind(ME) self.out = socket.socket(socket.AF_UNIX, socket.SOCK_DGRAM | socket.SOCK_CLOEXEC | socket.SOCK_NONBLOCK) # To our tracker, with an address of its own, so its replies don't land on @ft_gazed. self.eyes_sock = socket.socket(socket.AF_UNIX, socket.SOCK_DGRAM | socket.SOCK_CLOEXEC | socket.SOCK_NONBLOCK) self.eyes_sock.bind("") self.sel = selectors.DefaultSelector() self.sel.register(self.sock, selectors.EVENT_READ, "control") self.sel.register(self.eyes_sock, selectors.EVENT_READ, "own") self.checks = Checks(self, self.sel) self.proc = None self.buf = b"" self.restart_at = 0.0 self.running = True @property def kind(self): """"own" (our tracker), "eyes" (SteamVR's eyes, each corrected), or "source" (the older path: one SteamVR source, corrected as a whole).""" if self.override: return "source" if self.tracker == "own": return "own" return "eyes" if all(self.models[e].samples for e in SIDES) else "source" # --- Settings, calibration and lessons --- def load_settings(self): self.conf_mtime = mtime(CONF) tracker, bias, self.nudge_max = read_settings() if (tracker, bias) != (self.tracker, self.bias): log(f"tracker {tracker}, eye bias {bias}" + (f" (--source {self.override} wins)" if self.override else "")) self.tracker, self.bias = tracker, bias for w in self.weights.values(): w.bias = bias self.fix.reset() def load_calibration(self): try: mt = CALIBRATION.stat().st_mtime d = json.loads(CALIBRATION.read_text()) except (OSError, ValueError): return self.cal_mtime = mt for name in SOURCES: if name in d: self.models[name].from_json(d[name]) mode = d.get("_meta", {}).get("model") self.mode = mode if mode in MODELS else DEFAULT_MODEL log(f"calibration: {self.mode}, " + ", ".join(f"{n} {self.models[n].samples}" for n in (self.source,) + SIDES) + " samples") def load_lessons(self): try: d = json.loads(LESSONS.read_text()) except (OSError, ValueError): d = {} # The first version kept one source's: {"source": NAME, "samples": [...]}. sources = d.get("sources") or ({d["source"]: d.get("samples", [])} if "source" in d else {}) for name, samples in sources.items(): if name in self.lives: self.lives[name].samples = samples[-PointerLessons.KEEP:] for t, misses in (d.get("misses") or {}).items(): if t in self.weights: self.weights[t] = EyeWeights(self.bias, misses) log(", ".join(f"{n} {len(self.lives[n].samples)}" for n in (self.source,) + SIDES) + " lessons") def save_lessons(self): tmp = LESSONS.with_suffix(".tmp") tmp.write_text(json.dumps({"version": 2, "sources": {n: lv.samples for n, lv in self.lives.items() if lv.samples}, "misses": {t: w.misses for t, w in self.weights.items()}})) tmp.replace(LESSONS) self.dirty = False def forget_lessons(self): """Drop what the lessons taught (the calibration stays).""" self.lives = {name: PointerLessons() for name in SOURCES} self.weights = {t: EyeWeights(self.bias) for t in TRACKERS} self.refit() self.save_lessons() def refit(self): for name, live in self.lives.items(): live.wear_time = self.steam.worn() live.refit(self.models[name], self.mode) def correction(self, name, hy, hp): by, bp = self.models[name].get(hy, hp, self.mode) ly, lp = self.lives[name].get(hy, hp) return by + ly, bp + lp def look(self, ry, rp): """When the gaze sent as raw (ry, rp) was last sent, and each eye's median reading over the LOOK before it: (t, [(yaw, pitch) or None] * 2), or (None, None).""" key = f"{ry:.3f} {rp:.3f}" t = next((h[0] for h in reversed(self.history) if h[1] == key), None) if t is None: return None, None eyes = [] for k in (0, 1): seen = [h[2][k] for h in self.history if t - LOOK <= h[0] <= t and h[2] and h[2][k]] eyes.append((statistics.median(e[0] for e in seen), statistics.median(e[1] for e in seen)) if seen else None) return t, eyes def lesson(self, rhy, rhp, thy, thp, limit=True): """Learn a lesson; limit=False takes it whatever its size (the quick check's own).""" kind = self.kind limit = self.nudge_max if limit else math.inf rec = {"time": time.time(), "kind": kind, "raw": [rhy, rhp], "true": [thy, thp], "wear": self.steam.worn()} if kind == "source": dy, dp = thy - rhy, thp - rhp # the whole error there cy, cp = self.correction(self.source, rhy, rhp) left = math.hypot(dy - cy, dp - cp) rec.update(source=self.source, model=self.mode, correction=[cy, cp], lesson_deg=left) if left > limit: rec["refused"] = f"more than {limit} deg past the correction" else: self.lives[self.source].add({"time": rec["time"], "hy": rhy, "hp": rhp, "dy": dy, "dp": dp, "wy": 1.0, "wp": 1.0, "how": "pointer"}, self.models[self.source], self.mode) return self.taken(rec) # The raw gaze sent here is the corrected, combined one: its whole error is left. left = math.hypot(thy - rhy, thp - rhp) t, eyes = self.look(rhy, rhp) weights = self.weights[self.tracker if kind == "own" else "steam"] rec.update(tracker=self.tracker if kind == "own" else "steam", bias=self.bias, lesson_deg=left, look_t=t, eyes=eyes, weights=[round(w, 3) for w in weights.weights()]) if t is None: rec["refused"] = "that gaze isn't in the last few seconds sent" elif left > limit: rec["refused"] = f"more than {limit} deg off" if "refused" in rec: return self.taken(rec) if kind == "own": # Its eyes come calibrated: how far off each was is its miss. The click goes to it. miss = [math.hypot(thy - e[0], thp - e[1]) if e else None for e in eyes] try: self.eyes_sock.sendto(f"click {t:.6f} {thy:.4f} {thp:.4f}".encode(), EYES_SOCKET) except OSError as e: rec["refused"] = f"our tracker isn't running ({e})" return self.taken(rec) else: miss = [] for name, e in zip(SIDES, eyes): if not e: miss.append(None) continue cy, cp = self.correction(name, *e) miss.append(math.hypot(thy - e[0] - cy, thp - e[1] - cp)) self.lives[name].add({"time": rec["time"], "hy": e[0], "hp": e[1], "dy": thy - e[0], "dp": thp - e[1], "wy": 1.0, "wp": 1.0, "how": "pointer"}, self.models[name], self.mode) rec["miss"] = miss weights.add(miss) return self.taken(rec) def taken(self, rec): if "refused" in rec: self.counts["refused"] += 1 else: self.counts["lessons_taken"] += 1 self.dirty = True try: with open(LESSON_LOG, "a") as f: f.write(json.dumps(rec) + "\n") except OSError as e: log(f"lesson log: {e}") return rec # --- ft-gaze --- def start_helper(self): if not HELPER.exists(): log(f"ft-gaze isn't built: run {REPO}/gaze/build.sh") self.restart_at = time.monotonic() + 30 return env = dict(os.environ) env["XDG_RUNTIME_DIR"] = f"/run/user/{os.getuid()}" # podman needs the real one subprocess.run([str(REPO / "scripts" / "container-up.sh")], env=env, check=False) distrobox = Path.home() / ".local" / "bin" / "distrobox" # ft-gaze quits when its stdin closes: the one thing distrobox passes on. self.proc = subprocess.Popen([str(distrobox), "enter", "dev", "--", str(HELPER), "--watch-stdin"], env=env, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, start_new_session=True) os.set_blocking(self.proc.stdout.fileno(), False) os.set_blocking(self.proc.stderr.fileno(), False) self.sel.register(self.proc.stdout, selectors.EVENT_READ, "stdout") self.sel.register(self.proc.stderr, selectors.EVENT_READ, "stderr") self.buf = b"" log("ft-gaze started") def stop_helper(self): if not self.proc: return for f in (self.proc.stdout, self.proc.stderr): try: self.sel.unregister(f) except (KeyError, ValueError): pass if self.proc.stdin and not self.proc.stdin.closed: self.proc.stdin.close() try: self.proc.wait(timeout=2) except subprocess.TimeoutExpired: try: os.killpg(self.proc.pid, signal.SIGTERM) except ProcessLookupError: pass self.proc = None def eyes_wanted(self): return (self.tracker == "own" and not self.override) or time.monotonic() < self.eyes_until def start_eyes(self): """Our own tracker, in the dev container, with build/venv's numpy and OpenCV. Like ft-gaze, it quits when its stdin closes.""" if not EYES_PYTHON.exists(): log(f"ft-eyes isn't built: run {REPO}/gaze/tracker/build.sh") self.eyes_restart_at = time.monotonic() + 30 return env = dict(os.environ) env["XDG_RUNTIME_DIR"] = f"/run/user/{os.getuid()}" subprocess.run([str(REPO / "scripts" / "container-up.sh")], env=env, check=False) distrobox = Path.home() / ".local" / "bin" / "distrobox" self.eyes_proc = subprocess.Popen([str(distrobox), "enter", "dev", "--", str(EYES_PYTHON), str(EYES_PROG), "-v", "--watch-stdin"], env=env, stdin=subprocess.PIPE, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE, start_new_session=True) os.set_blocking(self.eyes_proc.stderr.fileno(), False) self.sel.register(self.eyes_proc.stderr, selectors.EVENT_READ, "eyes") log("ft-eyes started" + ("" if EYES_CAMS.exists() else f": no {EYES_CAMS} yet (the frame grabber: gaze/tracker/install.sh)")) def stop_eyes(self): if not self.eyes_proc: return try: self.sel.unregister(self.eyes_proc.stderr) except (KeyError, ValueError): pass if self.eyes_proc.stdin and not self.eyes_proc.stdin.closed: self.eyes_proc.stdin.close() try: self.eyes_proc.wait(timeout=3) except subprocess.TimeoutExpired: try: os.killpg(self.eyes_proc.pid, signal.SIGTERM) except ProcessLookupError: pass self.eyes_proc = None self.own = {} def read_eyes(self): try: data = os.read(self.eyes_proc.stderr.fileno(), 65536) except BlockingIOError: return if not data: log(f"ft-eyes stopped (exit {self.eyes_proc.poll()}); again in {EYES_RETRY:.0f} s if still wanted") self.stop_eyes() self.eyes_restart_at = time.monotonic() + EYES_RETRY return for line in data.decode("utf-8", "replace").splitlines(): if line.strip() and (self.verbose or "fps" not in line): log(line) def read_stdout(self): try: data = os.read(self.proc.stdout.fileno(), 65536) except BlockingIOError: return if not data: log(f"ft-gaze stopped (exit {self.proc.poll()}); again in {RETRY:.0f} s") self.stop_helper() self.restart_at = time.monotonic() + RETRY return self.buf += data *lines, self.buf = self.buf.split(b"\n") for line in lines: try: self.on_sample(json.loads(line)) except (ValueError, KeyError, TypeError) as e: log(f"bad sample: {e}") def read_stderr(self): try: data = os.read(self.proc.stderr.fileno(), 65536) except BlockingIOError: return for line in data.decode("utf-8", "replace").splitlines(): if line.strip(): log(line) def judge_eyes(self, m1, down): """Which eyes (left, right) are closed, from SteamVR's openness (set 1); updates self.lost from its variances. Blinks and lost eyes are judged against the last second (see steady_samples: relative, because the lids come down looking down). An eye's floor comes from its good readings, so a lost eye doesn't drag it to 0.""" low = [False, False] o = m1.get("open") if o and len(o) == 2: for k in (0, 1): hist = self.opens[k] good = [v for v in hist if v >= 0.12] floor = max(0.12, 0.5 * statistics.median(good)) if len(good) >= 30 else 0.12 low[k] = o[k] < floor hist.append(o[k]) unc = m1.get("unc") if unc and len(unc) == 2: for k in (0, 1): self.lost[k] = unc[k] > (EYE_FOUND if self.lost[k] else EYE_LOST) if not down: self.counts["lost_left"] += self.lost[0] self.counts["lost_right"] += self.lost[1] return low def on_sample(self, s): self.checks.on_sample(s) kind = self.kind if kind != self.last_kind: log({"own": "our own tracker", "eyes": "SteamVR's eyes, each calibrated", "source": f"SteamVR's {self.source}, calibrated as a whole"}[kind] + (f", eye bias {self.bias}" if kind != "source" else "")) self.last_kind = kind self.fix.reset() if kind == "source": self.on_source_sample(s) else: self.on_eyes_sample(s, kind == "own") def on_eyes_sample(self, s, own): m1 = s["src"].get("mmap1") or {} if own: src = s["src"].get("own") or {} if "hy" not in src: return eyes = [tuple(e) if e else None for e in (src.get("eyes") or [None, None])] hp, hit = src["hp"], src.get("hit") else: per = [s["src"].get(name) or {} for name in SIDES] eyes = [(p["hy"], p["hp"]) if "hy" in p else None for p in per] if not any(eyes): return hp, hit = next(e[1] for e in eyes if e), m1.get("hit") self.counts["samples"] += 1 self.last_sample = time.monotonic() down = hp < KEYBOARD_PITCH and not hit low = self.judge_eyes(m1, down) if down: self.counts["looking_down"] += 1 return # Our tracker finds the pupils itself; SteamVR's openness still marks the blinks. bad = [eyes[k] is None or low[k] or (not own and self.lost[k]) for k in (0, 1)] if all(bad): self.counts["blinks"] += 1 return if any(bad): self.counts["one_eye"] += 1 self.counts["one_eye_used"] += 1 seen = [None if bad[k] else eyes[k] for k in (0, 1)] if own: corrected = seen else: corrected = [] for name, e in zip(SIDES, seen): c = self.correction(name, *e) if e else None corrected.append((e[0] + c[0], e[1] + c[1]) if e else None) gy, gp = self.weights["own" if own else "steam"].combine(corrected) fy, fp = self.fix(gy, gp, s["t"], 1.0) self.send(s["t"], fy, fp, fy, fp, seen) def on_source_sample(self, s): src = s["src"].get(self.source) or {} if "hy" not in src: return self.counts["samples"] += 1 self.last_sample = time.monotonic() m1 = s["src"].get("mmap1") or {} lr = src.get("lr", m1.get("lr")) down = src["hp"] < KEYBOARD_PITCH and not src.get("hit") low = self.judge_eyes(m1, down) if down: self.counts["looking_down"] += 1 for k in (0, 1): self.bad_at[k] = s["t"] # the fallback doesn't learn from these either return bad = [low[k] or self.lost[k] for k in (0, 1)] if all(bad): self.counts["blinks"] += 1 return hy, hp = src["hy"], src["hp"] eyes = (s["src"].get("mmap2") or {}).get("eyes") for k in (0, 1): if bad[k]: self.bad_at[k] = s["t"] if any(bad): self.counts["one_eye"] += 1 seen = 1 if bad[0] else 0 est = self.fallback.get(seen, eyes[seen][0], eyes[seen][1]) if eyes else None if est: hy, hp = est self.counts["one_eye_used"] += 1 elif self.source == "mmap2": self.counts["dropped"] += 1 return else: if self.source == "mmap2": jump = (lr is not None and len(self.vergence) >= 30 and abs(lr - statistics.median(self.vergence)) > 1.5) if lr is not None: self.vergence.append(lr) if jump: self.counts["dropped"] += 1 return # Learn only once both have been seen for a moment: the tracker's filter starts # an eye over when it finds it again. if eyes and s["t"] - max(self.bad_at) > SETTLE: for k in (0, 1): self.fallback.update(k, eyes[k][0], eyes[k][1], hy, hp) # The fixation lock works in degrees here (1 degree per "pixel"). fy, fp = self.fix(hy, hp, s["t"], 1.0) cy, cp = self.correction(self.source, fy, fp) self.send(s["t"], fy + cy, fp + cp, fy, fp, None) def send(self, t, hy, hp, rhy, rhp, eyes): self.last = (hy, hp, rhy, rhp) raw = f"{rhy:.3f} {rhp:.3f}" self.history.append((t, raw, eyes)) while self.history and self.history[0][0] < t - HISTORY: self.history.popleft() try: self.out.sendto(f"gz {hy:.3f} {hp:.3f} {raw}".encode(), self.to) self.counts["sent"] += 1 except OSError: pass # the pointer helper isn't running # --- Control --- def on_control(self): while True: try: data, addr = self.sock.recvfrom(512) except BlockingIOError: return words = data.decode("utf-8", "replace").split() reply = None if words[:1] == ["lesson"] and len(words) == 5: try: rec = self.lesson(*map(float, words[1:])) self.checks.after_lesson(rec) reply = "refused" if "refused" in rec else f"ok {rec['lesson_deg']:.2f}" log(f"lesson {rec['lesson_deg']:.2f} deg at {rec['raw'][0]:+.1f},{rec['raw'][1]:+.1f}" + (f", eyes off {', '.join('-' if m is None else f'{m:.2f}' for m in rec['miss'])}" if rec.get("miss") else "") + (f": {rec['refused']}" if "refused" in rec else "")) except ValueError: reply = "error bad lesson" elif words[:1] == ["status"]: reply = json.dumps(self.status()) elif words[:1] == ["forget"]: self.forget_lessons() reply = "ok" elif words[:1] and words[0] in ("quickcal", "calibrate", "calaccept", "calquit", "calverify", "recheck"): reply = self.checks.command(words) elif words[:1] == ["eyes"] and len(words) == 2: try: secs = min(max(float(words[1]), 0.0), EYES_LEASE_MAX) self.eyes_until = max(self.eyes_until, time.monotonic() + secs) reply = "ok" except ValueError: reply = "error bad seconds" elif words[:1] == ["reload"]: self.load_settings() self.load_calibration() self.refit() reply = "ok" else: reply = "error unknown command" if reply and addr: try: self.sock.sendto(reply.encode(), addr) except OSError: pass def on_own(self): """Replies from our tracker: its status (JSON), or a click's "ok ..."/"fail ...".""" while True: try: data = self.eyes_sock.recv(4096).decode("utf-8", "replace") except (BlockingIOError, OSError): return if data.startswith("{"): try: self.own, self.own_at = json.loads(data), time.monotonic() except ValueError: pass else: log(f"our tracker: {data}") def status(self): kind = self.kind tracker = "own" if kind == "own" else "steam" w = self.weights[tracker] st = {"tracker": tracker, "kind": kind, "source": "own" if kind == "own" else self.source if kind == "source" else "left+right", "model": self.mode, "eye_bias": self.bias} if kind == "source": ly, lp = self.lives[self.source].offset() st.update(calibration_samples=self.models[self.source].samples, lessons=len(self.lives[self.source].samples), lesson_offset=[round(ly, 3), round(lp, 3)]) else: st.update(eye_weights=[round(v, 3) for v in w.weights()], eye_misses=[len(m) for m in w.misses], eye_rms=[None if r is None else round(r, 2) for r in w.rms()]) if kind == "eyes": st.update(calibration_samples=min(self.models[e].samples for e in SIDES), lessons=max(len(self.lives[e].samples) for e in SIDES)) if kind == "own": own = self.own if time.monotonic() - self.own_at < 5 else {} cal = own.get("calibration") or {} st.update(calibration_samples=cal.get("dots", 0), calibration_made=cal.get("made"), lessons=max(len(m) for m in w.misses), own_running=bool(own), own_reseat=any(e.get("reseat") for e in own.get("eyes", {}).values())) st.update(eyes_process=self.eyes_proc is not None, eyegrab=EYES_CAMS.exists()) st.update({"ft_gaze": self.proc is not None, "sample_age_s": round(time.monotonic() - self.last_sample, 2) if self.last_sample else None, "headset_on": self.steam.wearing(), "headset_on_since": self.steam.worn(), "last": [round(v, 2) for v in self.last] if self.last else None, "eyes_lost": self.lost, "fallback_ready": [self.fallback.ready(0), self.fallback.ready(1)], "checks": self.checks.status(), **self.counts}) return st def periodic(self): if self.steam.poll() or any(lv.wear_time != self.steam.worn() for lv in self.lives.values()): if any(lv.wear_time != self.steam.worn() for lv in self.lives.values()): log("headset on again: older lessons count less until new ones come in") self.refit() if mtime(CALIBRATION) != self.cal_mtime: self.load_calibration() self.refit() if mtime(CONF) != self.conf_mtime: self.load_settings() want = self.eyes_wanted() if want and not self.eyes_proc and time.monotonic() >= self.eyes_restart_at: self.start_eyes() elif not want and self.eyes_proc: log("ft-eyes no longer wanted: stopping it") self.stop_eyes() if self.eyes_proc: try: self.eyes_sock.sendto(b"status", EYES_SOCKET) except OSError: pass # not up yet: status() says so once the last answer is old self.checks.periodic() if self.dirty: self.save_lessons() def run(self): next_periodic = time.monotonic() next_verbose = time.monotonic() + 5 while self.running: now = time.monotonic() if not self.proc and now >= self.restart_at: self.start_helper() for key, _ in self.sel.select(timeout=0.05 if self.checks.active else 0.5): if key.data == "control": self.on_control() elif key.data == "checks": self.checks.on_readable() elif key.data == "panel" and self.checks.panel_proc: self.checks.read_panel() elif key.data == "own": self.on_own() elif key.data == "eyes" and self.eyes_proc: self.read_eyes() elif key.data == "stdout" and self.proc: self.read_stdout() elif key.data == "stderr" and self.proc: self.read_stderr() self.checks.tick() if now >= next_periodic: self.periodic() next_periodic = now + 1.0 if self.verbose and now >= next_verbose: log(json.dumps(self.status())) next_verbose = now + 5 self.checks.stop() self.stop_helper() self.stop_eyes() if self.dirty: self.save_lessons() def main(): ap = argparse.ArgumentParser(description="The gaze service: corrected eye tracking for the pointer") ap.add_argument("--source", choices=["action", "mmap1", "mmap2"], help="the older one-source path with this SteamVR source, whatever the settings say") ap.add_argument("-v", "--verbose", action="store_true") ap.add_argument("--to", default="ft_pointer_helper", help="abstract socket to send the gaze to") args = ap.parse_args() try: service = Service(args.source, args.verbose, "\0" + args.to) except OSError as e: log(f"can't bind @ft_gazed (already running?): {e}") sys.exit(1) def stop(*_): service.running = False signal.signal(signal.SIGTERM, stop) signal.signal(signal.SIGINT, stop) service.run() if __name__ == "__main__": main()