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为采集帧绑定主机时间与来源信息

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采集时间随图像穿过处理队列，并修正未读帧的丢帧计数。通过采集与流水线针对性测试。
This commit is contained in:
ykcheungab
2026-10-11 12:48:34 +08:00
parent 0784eacf51
commit 120b8c2cf6
7 changed files with 256 additions and 40 deletions
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src/orisys/__init__.py
+9 -2
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@@ -5,13 +5,19 @@ A Python library for processing and analyzing optical tactile sensor data,
including image stitching, optical flow tracking, and deformation decomposition.
"""
__version__ = "0.5.3"
__version__ = "0.5.4"
__author__ = "Orisys"
from . import calibration, capture, configs, finger, signal_processing, util
from .export import StreamRecorder, mosaic_videos
from .frame_processors import FFCFrameProcessor
from .pipeline import FrameSnapshot, PauseLevel, PipelineStats, StreamPipeline
from .pipeline import (
FrameSnapshot,
PauseLevel,
PipelineStats,
ProducedFrame,
StreamPipeline,
)
from .sensor import Sensor
CompoundEyeSensor = Sensor
@@ -44,6 +50,7 @@ __all__ = [
# pipelined multi-stream processing
'StreamPipeline',
'FrameSnapshot',
'ProducedFrame',
'PipelineStats',
'PauseLevel',
src/orisys/capture/__init__.py
+2
View File
@@ -16,6 +16,7 @@ from .discovery import (
pick_default_camera,
)
from .source import (
CapturedFrame,
CaptureSource,
CaptureWorker,
is_live_camera,
@@ -31,6 +32,7 @@ __all__ = [
"CameraFilter",
"CameraInfo",
"CaptureConfig",
"CapturedFrame",
"CaptureHealth",
"CaptureSource",
"CaptureStatus",
src/orisys/capture/source.py
+92 -27
View File
@@ -7,6 +7,8 @@ import os
import sys
import threading
import time
from dataclasses import dataclass
from math import isfinite
from typing import Any, Protocol, runtime_checkable
import cv2
@@ -23,6 +25,21 @@ from .config import (
logger = logging.getLogger(__name__)
@dataclass(frozen=True)
class CapturedFrame:
"""One image and the host clocks sampled when its capture read completed.
``sequence`` belongs to this source instance. ``media_time_ms`` is advisory
file metadata and is never substituted for the host acquisition clocks.
"""
image: np.ndarray
sequence: int
host_mono_ns: int
host_utc_ns: int
media_time_ms: float | None = None
@runtime_checkable
class VideoCaptureLike(Protocol):
"""Minimal protocol so tests can inject fake captures."""
@@ -223,7 +240,10 @@ class CaptureSource:
self._frame_lock = threading.Lock()
self._frame_cond = threading.Condition(self._frame_lock)
self._latest_frame: np.ndarray | None = None
self._latest_captured: CapturedFrame | None = None
self._latest_seq = 0
self._read_seq = 0
self._last_delivered_seq = 0
self._thread: threading.Thread | None = None
self._background_running = False
@@ -338,6 +358,7 @@ class CaptureSource:
self._cap = None
with self._frame_cond:
self._latest_frame = None
self._latest_captured = None
self._latest_seq = 0
def _refresh_stream_meta_unlocked(self) -> None:
@@ -363,28 +384,80 @@ class CaptureSource:
for _ in range(max(0, int(count))):
self.read_raw()
def read_raw(self) -> tuple[bool, np.ndarray | None]:
"""Read one frame directly from the underlying capture (no reconnect)."""
def read_raw_stamped(self) -> CapturedFrame | None:
"""Read a frame and bind its identity and clocks before another read."""
cap = self._cap
if cap is None:
return False, None
return None
try:
ok, frame = cap.read()
except Exception as exc:
with self._lock:
self._status.consecutive_failures += 1
self._status.last_error = str(exc)
return False, None
return None
if not ok or frame is None:
with self._lock:
self._status.consecutive_failures += 1
return False, None
return None
host_mono_ns = time.perf_counter_ns()
host_utc_ns = time.time_ns()
media_time_ms = None
if not is_live_camera(self._status.source):
try:
value = float(cap.get(cv2.CAP_PROP_POS_MSEC))
if isfinite(value) and value >= 0:
media_time_ms = value
except Exception as exc: # noqa: BLE001 - metadata must not stop capture
logger.debug("capture: media timestamp unavailable: %s", exc)
with self._lock:
self._read_seq += 1
sequence = self._read_seq
self._status.consecutive_failures = 0
self._status.last_frame_time = time.perf_counter()
self._status.last_frame_time = host_mono_ns / 1e9
if self._status.health != CaptureHealth.CONNECTED:
self._status.health = CaptureHealth.CONNECTED
return True, frame
return CapturedFrame(frame, sequence, host_mono_ns, host_utc_ns, media_time_ms)
def read_raw(self) -> tuple[bool, np.ndarray | None]:
"""Compatibility read without capture metadata."""
captured = self.read_raw_stamped()
return (captured is not None, None if captured is None else captured.image)
def read_latest_stamped(
self, *, copy: bool = True, wait_s: float = 0.0
) -> CapturedFrame | None:
"""Return a frame and its own stamp atomically from the background slot."""
if not self._background_running:
captured = self.read_raw_stamped()
if captured is not None and copy:
return CapturedFrame(
captured.image.copy(),
captured.sequence,
captured.host_mono_ns,
captured.host_utc_ns,
captured.media_time_ms,
)
return captured
deadline = time.perf_counter() + max(0.0, wait_s)
with self._frame_cond:
while self._latest_captured is None:
remaining = deadline - time.perf_counter()
if remaining <= 0:
return None
self._frame_cond.wait(timeout=remaining)
captured = self._latest_captured
self._last_delivered_seq = captured.sequence
if copy:
return CapturedFrame(
captured.image.copy(),
captured.sequence,
captured.host_mono_ns,
captured.host_utc_ns,
captured.media_time_ms,
)
return captured
def read_latest(
self,
@@ -393,21 +466,8 @@ class CaptureSource:
wait_s: float = 0.0,
) -> tuple[bool, np.ndarray | None]:
"""Return the newest frame from the background thread, or read sync."""
if not self._background_running:
ok, frame = self.read_raw()
if ok and copy and frame is not None:
return ok, frame.copy()
return ok, frame
deadline = time.perf_counter() + max(0.0, wait_s)
with self._frame_cond:
while self._latest_frame is None:
remaining = deadline - time.perf_counter()
if remaining <= 0:
return False, None
self._frame_cond.wait(timeout=remaining)
frame = self._latest_frame.copy() if copy else self._latest_frame
return True, frame
captured = self.read_latest_stamped(copy=copy, wait_s=wait_s)
return (captured is not None, None if captured is None else captured.image)
def read(self, *, copy: bool = True, wait_s: float = 1.0) -> tuple[bool, np.ndarray | None]:
"""Compat alias used by finger runtime and older worker callers."""
@@ -441,6 +501,7 @@ class CaptureSource:
self._thread = None
with self._frame_cond:
self._latest_frame = None
self._latest_captured = None
def stop(self, timeout: float = 1.0) -> None:
"""Compat alias for ``stop_background``."""
@@ -455,19 +516,23 @@ class CaptureSource:
time.sleep(0.2)
continue
ok, frame = self.read_raw()
if not ok or frame is None:
captured = self.read_raw_stamped()
if captured is None:
if self.should_reconnect():
continue
time.sleep(0.001)
continue
with self._frame_cond:
if self._latest_frame is not None:
if (
self._latest_captured is not None
and self._latest_captured.sequence > self._last_delivered_seq
):
with self._lock:
self._status.dropped_frames += 1
self._latest_seq += 1
self._latest_frame = frame
self._latest_seq = captured.sequence
self._latest_frame = captured.image
self._latest_captured = captured
with self._lock:
self._status.last_seq = self._latest_seq
self._frame_cond.notify_all()
src/orisys/finger/runtime.py
+8
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@@ -358,6 +358,14 @@ class FingerRuntime:
return self.capture_source.read_raw()
return self.capture.read()
def read_source_stamped(self):
"""Read the source image with its capture-thread identity and host clocks."""
if self.capture_source is None:
return None
if self.capture_source.running:
return self.capture_source.read_latest_stamped(copy=True, wait_s=1.0)
return self.capture_source.read_raw_stamped()
def process_frame(self, frame, *, color=False):
"""Prepare, unroll, and feed one source frame into the tactile processor."""
if color:
src/orisys/pipeline.py
+37 -10
View File
@@ -74,7 +74,13 @@ from typing import Any
import numpy as np
__all__ = ["FrameSnapshot", "PipelineStats", "PauseLevel", "StreamPipeline"]
__all__ = [
"FrameSnapshot",
"ProducedFrame",
"PipelineStats",
"PauseLevel",
"StreamPipeline",
]
#: Array fields a snapshot can carry. ``image`` is the working grey frame; the
#: rest come from ``Sensor.read_info`` (already copied by the SDK).
@@ -105,6 +111,14 @@ class PauseLevel(str, Enum):
CAPTURE_ONLY = "capture_only"
@dataclass(frozen=True)
class ProducedFrame:
"""A producer image with opaque metadata carried to its finished snapshot."""
image: np.ndarray
metadata: Any = None
@dataclass(frozen=True)
class FrameSnapshot:
"""An immutable view of one finished frame.
@@ -139,6 +153,7 @@ class FrameSnapshot:
#: when the producer did not report one. Read from ``Sensor.img_size_raw`` because callers
#: compare it with ``image.shape`` to see how much the frame was reduced.
image_size_raw: tuple[int, int] | None = None
source_metadata: Any = None
@dataclass
@@ -171,8 +186,9 @@ class PipelineStats:
class StreamPipeline:
"""Run ``produce -> flow -> hhd`` as three concurrent stages.
``produce`` is a zero-argument callable returning either the working frame
(``(H, W)`` grey or ``(H, W, 3)`` BGR) or ``None`` to signal end of input.
``produce`` is a zero-argument callable returning the working frame
(``(H, W)`` grey or ``(H, W, 3)`` BGR), a ``ProducedFrame`` carrying source
metadata, or ``None`` to signal end of input.
For a ``Sensor`` that is ``sensor.get_img``; for a ``FingerRuntime`` use
:meth:`for_finger_runtime`.
"""
@@ -180,7 +196,7 @@ class StreamPipeline:
def __init__(
self,
sensor: Any,
produce: Callable[[], np.ndarray | None],
produce: Callable[[], np.ndarray | ProducedFrame | None],
*,
contact: bool = False,
depth: int = 2,
@@ -519,10 +535,14 @@ class StreamPipeline:
frame = self._produce()
if frame is None:
break
source_metadata = None
if isinstance(frame, ProducedFrame):
source_metadata = frame.metadata
frame = frame.image
t1 = time.perf_counter()
# Private copy: the SDK buffer is rewritten in place by the next
# produce() call while the flow stage is still reading this frame.
payload = (frame.copy(), t0, t1 - t0)
payload = (frame.copy(), t0, t1 - t0, source_metadata)
if not self._put(self._q1, payload):
break
self.stats.produced += 1
@@ -547,7 +567,7 @@ class StreamPipeline:
if self._reset_pending.is_set():
self._reset_pending.clear()
self.sensor.reset()
frame, t_cap, produce_s = item
frame, t_cap, produce_s, source_metadata = item
t0 = time.perf_counter()
# The frame is passed explicitly: the SDK's self.img slot is shared
# with the producer, so it must not be the transport.
@@ -557,7 +577,10 @@ class StreamPipeline:
# Private copy: with the flow EMA enabled Sensor.flow is a buffer the
# next frame rewrites.
flow_copy = flow.copy() if isinstance(flow, np.ndarray) else None
self._put(self._q2, (frame, flow_copy, t_cap, produce_s, flow_s))
self._put(
self._q2,
(frame, flow_copy, t_cap, produce_s, flow_s, source_metadata),
)
self._put(self._q2, None)
def _hhd_loop(self) -> None:
@@ -572,7 +595,7 @@ class StreamPipeline:
if not self._wait_out_pause():
break
continue
frame, flow, t_cap, produce_s, flow_s = item
frame, flow, t_cap, produce_s, flow_s, source_metadata = item
t0 = time.perf_counter()
# Explicit flow: compute_hhd reads self.flow, which the flow stage
# overwrites for the next frame, so it cannot be the transport.
@@ -580,7 +603,9 @@ class StreamPipeline:
if self._contact:
self.sensor.compute_contact()
hhd_s = time.perf_counter() - t0
snap = self._build(frame, flow, produce_s, flow_s, hhd_s, t_cap)
snap = self._build(
frame, flow, produce_s, flow_s, hhd_s, t_cap, source_metadata
)
self._publish(snap)
if self._on_frame is not None:
# Runs on this stage's thread: a slow consumer exerts real
@@ -600,7 +625,8 @@ class StreamPipeline:
return value.copy()
def _build(self, frame: np.ndarray, flow: np.ndarray | None, produce_s: float,
flow_s: float, hhd_s: float, t_cap: float) -> FrameSnapshot:
flow_s: float, hhd_s: float, t_cap: float,
source_metadata: Any = None) -> FrameSnapshot:
sensor = self.sensor
info = sensor.info
include = self._include
@@ -641,6 +667,7 @@ class StreamPipeline:
flow_ms=flow_s * 1000.0,
hhd_ms=hhd_s * 1000.0,
image_size_raw=image_size_raw,
source_metadata=source_metadata,
)
def _fps(self) -> float: