From a1d54e1980aa4480904b99447324dcb42d28b57c Mon Sep 17 00:00:00 2001 From: mu-files Date: Sat, 1 Aug 2026 17:52:25 -0700 Subject: [PATCH 1/8] Add PyAV mpeg4 export with overlapped FrameRead pipeline. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Replace Pillow→ffmpeg CLI with in-process PyAV and a vendored ProcessingPipeline so produce overlaps encode. Bitrate-matched to baseline -q:v 10; optional codec= for HW encoders on other machines. Co-authored-by: Cursor --- pyproject.toml | 1 + src/aris/pyARIS/pyARIS.py | 162 ++++-- src/aris/scripts/convert_aris_to_video.py | 19 +- src/aris/video/processing.py | 413 +++++++++++++++ uv.lock | 614 +++++++++++----------- 5 files changed, 866 insertions(+), 343 deletions(-) create mode 100644 src/aris/video/processing.py diff --git a/pyproject.toml b/pyproject.toml index bd31528..d70d64b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,7 @@ classifiers = [ "Topic :: Multimedia :: Video", ] dependencies = [ + "av>=14", "ffmpeg-python>=0.2.0", "matplotlib>=3.10.3", "numpy>=2.3.1", diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 07dd5e8..3458788 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -12,16 +12,26 @@ import array import datetime import struct -import subprocess as sp +import threading +import time +from fractions import Fraction +import av import cv2 import numpy as np import pytz import tqdm from PIL import Image, ImageDraw, ImageFont +from ..video.processing import ProcessingPipeline from . import beamLookUp +# Clean-main baseline (JPEG→ffmpeg -q:v 10) landed ~5.87 Mbps on SHARE +# workloads. Fixed qmin=qmax=vbr under-rates (~0.81×); target that bitrate +# and scale with vbr (bitrate ∝ 1/vbr). +_BASELINE_VBR = 10 +_BASELINE_BITRATE = 5_870_000 + class ARIS_File: "This is a class container for the ARIS file headers" @@ -1371,9 +1381,13 @@ def VideoExport( fontsize=30, ts_pos=(0, 0), vbr=10, + num_workers=1, + codec="mpeg4", ): - """Output video using the ffmpeg pipeline. The current implementation - outputs compresses png files and outputs a mp4. + """Output video using in-process PyAV, overlapping FrameRead with encode. + + Producer runs FrameRead; pass-through consumers (optional timestamp); ordered + writer encodes. Overlaps read/remap with encode like the former ffmpeg pipe. Parameters ----------- @@ -1385,6 +1399,8 @@ def VideoExport( fontsize : (Int) Size of timestamp font ts_pos : (Tuple) (x,y) location of the timestamp vbr : (Int) Variable Bitrate of output video (1-31) 1 being highest quality, 31 being lowest quality + num_workers : (Int) Pass-through consumer threads (default 1; raise when consumers do real work) + codec : (Str) PyAV encoder name (default ``mpeg4``; e.g. ``h264_videotoolbox``, ``h264_nvenc``) Returns ------- @@ -1392,7 +1408,6 @@ def VideoExport( Notes ------ - ffmpeg must be available in the system PATH. Must have the '*.mp4' file extension. Uses the tqdm package to display a status bar. @@ -1402,38 +1417,37 @@ def VideoExport( """ - # Command to send via the command prompt which specifies the pipe parameters - # Linux compatible: use 'ffmpeg' instead of 'ffmpeg.exe' - command = [ - "ffmpeg", - "-y", # (optional) overwrite output file if it exists - "-f", - "image2pipe", - "-vcodec", - "mjpeg", - "-r", - str(fps), # frames per second - "-i", - "-", # The input comes from a pipe - "-an", # Tells FFMPEG not to expect any audio - "-vcodec", - "mpeg4", - "-q:v", - str(vbr), # Variable bitrate quality - filename, - ] - - # Open the pipe - pipe = sp.Popen(command, stdin=sp.PIPE, stderr=sp.DEVNULL) - if end_frame is None: end_frame = data.FrameCount - # Iterate through the dataframes and push to pipe - for i in tqdm.tqdm(range(start_frame - 1, end_frame)): - frame = FrameRead(data, i) - im = Image.fromarray(frame.remap) + # TEMP: surface libav / videotoolbox messages on stderr while debugging HW encode. + av.logging.set_level(av.logging.VERBOSE) + + frame_indices = range(start_frame - 1, end_frame) + n_frames = len(frame_indices) + container = None + stream = None + progress = tqdm.tqdm(total=n_frames) + t_produce = 0.0 + t_consume = 0.0 + t_encode = 0.0 + timing_lock = threading.Lock() + + def producer(): + nonlocal t_produce + for out_i, frame_i in enumerate(frame_indices): + t0 = time.perf_counter() + frame = FrameRead(data, frame_i) + t_produce += time.perf_counter() - t0 + yield out_i, frame + + def consumer(item): + nonlocal t_consume + t0 = time.perf_counter() + out_i, frame = item + remap = frame.remap if timestamp: + im = Image.fromarray(remap) ts = str( datetime.datetime.fromtimestamp( frame.sonartimestamp / 1000000, pytz.timezone("UTC") @@ -1443,10 +1457,86 @@ def VideoExport( try: font = ImageFont.truetype("DejaVuSans.ttf", fontsize) except OSError: - # Fallback to default font if DejaVuSans not available font = ImageFont.load_default() draw.text(ts_pos, ts, font=font, fill="white") - im.save(pipe.stdin, "JPEG") + remap = np.asarray(im) + # H.264/HEVC (yuv420p) need even W/H; mpeg4 tolerates odd ARIS remaps. + if codec != "mpeg4": + h, w = remap.shape[:2] + if (h | w) & 1: + remap = np.pad(remap, ((0, h & 1), (0, w & 1)), mode="edge") + with timing_lock: + t_consume += time.perf_counter() - t0 + return out_i, remap + + # ProcessingPipeline does not reorder; buffer like muimg VideoEncodePipeline. + next_index = 0 + frame_buffer = {} + + def writer(result): + nonlocal container, stream, next_index, t_encode + index, remap = result + frame_buffer[index] = remap + while next_index in frame_buffer: + remap = frame_buffer.pop(next_index) + t0 = time.perf_counter() + if container is None: + height, width = remap.shape[:2] + container = av.open(filename, mode="w") + stream = container.add_stream( + codec, rate=Fraction(fps).limit_denominator() + ) + stream.width = width + stream.height = height + stream.pix_fmt = "yuv420p" + # Match former JPEG→ffmpeg -q:v *output size* (not raw + # qscale — that under-rates vs the JPEG-pipe path). + q = max(int(vbr), 1) + br = max(1, int(_BASELINE_BITRATE * _BASELINE_VBR / q)) + stream.bit_rate = br + # Default tolerance (128k) is below our ~5.87 Mbps target. + stream.codec_context.bit_rate_tolerance = br + + video_frame = av.VideoFrame.from_ndarray(remap, format="gray") + video_frame = video_frame.reformat(format="yuv420p") + for packet in stream.encode(video_frame): + container.mux(packet) + t_encode += time.perf_counter() - t0 + progress.update(1) + next_index += 1 + + def _round_stats(obj): + if isinstance(obj, dict): + return {k: _round_stats(v) for k, v in obj.items()} + if isinstance(obj, float): + return round(obj, 2) + return obj - pipe.stdin.close() - pipe.wait() + try: + if n_frames > 0: + pipeline = ProcessingPipeline( + producer, + consumer, + writer, + num_workers=num_workers, + total_items=n_frames, + task_name="VideoExport", + ) + pipeline.run() + progress.close() + qstats = pipeline.get_queue_stats() + timing = { + "processing_time": qstats.pop("processing_time", 0.0), + "t_produce": t_produce, + "t_consume": t_consume, + "t_encode": t_encode, + } + print(f"queue_stats: {_round_stats(qstats)}", flush=True) + print(f"timing: {_round_stats(timing)}", flush=True) + if stream is not None: + for packet in stream.encode(): + container.mux(packet) + finally: + progress.close() + if container is not None: + container.close() diff --git a/src/aris/scripts/convert_aris_to_video.py b/src/aris/scripts/convert_aris_to_video.py index 556dca1..84ece56 100644 --- a/src/aris/scripts/convert_aris_to_video.py +++ b/src/aris/scripts/convert_aris_to_video.py @@ -2,7 +2,7 @@ CLI script to convert ARIS files into MP4 video files. This script provides a command-line interface for converting ARIS files, which -contain sonar data, into MP4 video files using ffmpeg via pyARIS.VideoExport(). +contain sonar data, into MP4 video files via pyARIS.VideoExport() (PyAV mpeg4). Arguments: @@ -17,15 +17,11 @@ uv run python ./src/aris/scripts/convert_aris_to_video.py --dir-aris data/aris/ --dir-save data/mp4/ This script facilitates the extraction of frames from ARIS data and encodes -them into a video format using ffmpeg, helping users visualize sonar data effectively. - -Requirements: - - ffmpeg must be installed and available in PATH +them into a video format, helping users visualize sonar data effectively. """ import argparse import logging -import shutil from logging import Logger from pathlib import Path @@ -37,7 +33,7 @@ def make_cli_parser() -> argparse.ArgumentParser: Make the CLI parser. """ parser = argparse.ArgumentParser( - description="Convert ARIS sonar files to MP4 videos using ffmpeg." + description="Convert ARIS sonar files to MP4 videos (mpeg4 via PyAV)." ) parser.add_argument( "--filepath-aris", @@ -93,7 +89,7 @@ def process_aris_filepath( force: bool = False, ) -> bool: """ - Process a single ARIS file by converting it to MP4 video using ffmpeg. + Process a single ARIS file by converting it to MP4 video. Parameters: filepath_aris (Path): The path to the ARIS file to be processed. @@ -120,7 +116,7 @@ def process_aris_filepath( logger.info(f"Exporting video to: {filepath_video_save}") - # VideoExport uses ffmpeg subprocess with MPEG4 codec + # VideoExport uses PyAV with MPEG4 codec (same -q:v quality as before) pyARIS.VideoExport( data=aris_data, filename=str(filepath_video_save), @@ -148,11 +144,6 @@ def main(): format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", ) - # Validate ffmpeg is available - if not shutil.which("ffmpeg"): - logger.error("ffmpeg not found in PATH. Please install ffmpeg.") - exit(1) - if not validate_parsed_args(args): logging.error(f"Could not validate the parsed args: {args}") exit(1) diff --git a/src/aris/video/processing.py b/src/aris/video/processing.py new file mode 100644 index 0000000..cdd919d --- /dev/null +++ b/src/aris/video/processing.py @@ -0,0 +1,413 @@ +# SPDX-License-Identifier: BSD-3-Clause +# Copyright (c) 2026 mu-files + +import logging +import queue +import threading + +from typing import Any, Callable, Iterable + +logger = logging.getLogger(__name__) + +# Sentinel value to distinguish "not provided" from "explicitly None" +# Used in pipeline __init__ to allow: default behavior, explicit None, or custom callable +DEFAULT_PIPELINE_CALLABLE = object() + + +class ProcessingThreadPool: + """A simple thread pool for running worker functions with different argument patterns.""" + + def __init__(self, num_workers: int, thread_name_prefix: str = "Worker"): + self.num_workers = num_workers + self.thread_name_prefix = thread_name_prefix + self.threads: list[threading.Thread] = [] + + def run_workers(self, worker_func: Callable[..., Any], worker_args_list: list[tuple[Any, ...]]) -> None: + """ + Run worker functions in parallel threads and wait for completion. + + Args: + worker_func: The function to run in each thread + worker_args_list: List of argument tuples, one per worker + """ + logger.info(f"Starting {len(worker_args_list)} {self.thread_name_prefix} threads...") + + # Clear any previous threads + self.threads.clear() + + # Create and start threads + for worker_id, args in enumerate(worker_args_list): + thread = threading.Thread( + target=worker_func, + args=args, + name=f"{self.thread_name_prefix}-{worker_id}" + ) + self.threads.append(thread) + thread.start() + + # Wait for all threads to complete + for thread in self.threads: + try: + thread.join() + except Exception as e: + logger.error(f"Error joining thread {thread.name} ({type(e).__name__}): {e}") + + logger.info(f"{self.thread_name_prefix} processing complete!") + + +class ProcessingPipeline: + """Manages a producer-consumer-writer workflow with multiple worker threads.""" + + def __init__( + self, + producer: Callable[[], Iterable[Any]] | "ProcessingPipeline" | None, + consumer: Callable[[Any], Any], + writer: Callable[[Any], None] = None, + num_workers: int = 4, + queue_size: int = None, + writer_queue_size: int = None, + task_name: str = None, + on_task_done: Callable[[int, int], bool] = None, + total_items: int = None, + ): + """ + Initializes the processing pipeline. + + Args: + producer: Either: + - A no-argument callable called as producer() that returns an + iterable of input items (Iterable[Any]), or + - Another ProcessingPipeline instance, in which case this + pipeline will consume items produced by the upstream + pipeline. + consumer: A one-argument callable called as consumer(item) that processes + a single input item. + - If writer is provided, consumer(item) should return the + object that will be passed to writer. + - If writer is not provided, the return value is ignored. + writer: An optional one-argument callable called as writer(result) that + consumes the value returned by consumer and performs side + effects (e.g., writing to disk). It should return None. + num_workers: The number of concurrent consumer threads. + queue_size: Max size of the task queue. Defaults to num_workers * 4. + writer_queue_size: Max size of the writer queue. Defaults to queue_size. + task_name: Optional descriptive name for the task (e.g., "Keogram Creation"). + Used in log messages for better clarity. + on_task_done: Optional callback(completed, total) -> bool, called by + the consumer after each task completes. Return True to + request cancellation. Used for both progress reporting and + cancellation. + total_items: Total number of items to process. Passed to on_task_done. + """ + # Check if producer is a pipeline or callable + is_pipeline_producer = isinstance(producer, ProcessingPipeline) + if not is_pipeline_producer and producer is not None and not callable(producer): + raise TypeError("Producer must be a callable that returns an iterable, or a ProcessingPipeline.") + if not callable(consumer): + raise TypeError("Consumer must be a callable.") + if writer and not callable(writer): + raise TypeError("Writer must be a callable if provided.") + + # Validate that upstream pipeline has a writer + if is_pipeline_producer and not producer.writer: + raise ValueError("Upstream ProcessingPipeline must have a writer to feed this pipeline.") + + self.producer = producer + self.consumer = consumer + self.writer = writer + self.num_workers = num_workers + self.task_name = task_name + self._on_task_done = on_task_done + self._total_items = total_items or 0 + self._completed = 0 + + self._processing_time = 0 + self._task_queue_samples = [] + self._task_queue_empty_time = 0 + self.writer_queue = None + + self._stop_event = threading.Event() + + # Skip queue/threading allocation for synchronous mode + if num_workers > 0: + if queue_size is None: + queue_size = num_workers * 4 + self.task_queue = queue.Queue(maxsize=queue_size) + + # Writer-specific setup + if self.writer: + if writer_queue_size is None: + writer_queue_size = queue_size + self.writer_queue = queue.Queue(maxsize=writer_queue_size) + self._writer_queue_samples = [] + self._writer_queue_empty_time = 0 + + def cancel(self): + """Request cancellation of the pipeline. + + Stops the producer from reading more items and signals consumer/writer + threads to finish processing remaining queued items and exit. + """ + logger.info(f"Pipeline cancel requested{f' ({self.task_name})' if self.task_name else ''}") + self._stop_event.set() + + @property + def cancelled(self) -> bool: + """True if cancel() has been called.""" + return self._stop_event.is_set() + + def _notify_task_done(self): + """Increment completed count, call on_task_done, and cancel if requested.""" + if self._on_task_done: + self._completed += 1 + if self._on_task_done(self._completed, self._total_items): + self.cancel() + + def _producer_thread(self): + """Internal method to run the producer and populate the task queue.""" + producer = self.producer + if producer is None or not callable(producer): + raise RuntimeError("Producer thread requires a callable producer") + task_prefix = f"{self.task_name}->" if self.task_name else "" + logger.info(f"--- Starting producer thread (target: {task_prefix}{producer.__name__}) ---") + try: + for item in producer(): + if self._stop_event.is_set(): + logger.info(f"--- Producer thread ({task_prefix}{producer.__name__}) cancelled. ---") + break + while not self._stop_event.is_set(): + try: + self.task_queue.put(item, timeout=0.1) + break + except queue.Full: + continue + finally: + # Send sentinels so consumers know no more items are coming + if not self._stop_event.is_set(): + for _ in range(self.num_workers): + self.task_queue.put(None) + logger.info(f"--- Producer thread ({task_prefix}{producer.__name__}) finished. ---") + + def _consumer_thread(self, thread_num: int): + """Internal method for consumer workers.""" + task_prefix = f"{self.task_name}->" if self.task_name else "" + logger.info(f"--- Consumer thread {thread_num}/{self.num_workers} started (target: {task_prefix}{self.consumer.__name__}) ---") + while True: + if self._stop_event.is_set(): + break + try: + task = self.task_queue.get(timeout=0.1) + if task is None: # Sentinel value + self.task_queue.task_done() + break + + try: + result = self.consumer(task) + self._notify_task_done() + + # If there's a writer, pass the result to the writer queue + writer_queue = self.writer_queue + if self.writer and result is not None and writer_queue is not None: + writer_queue.put(result) + except Exception as e: + logger.error(f"Exception in consumer thread {thread_num} processing task ({type(e).__name__}): {e}", exc_info=True) + # Continue processing other tasks even if one fails + finally: + # Always mark task as done to prevent queue.join() from hanging + self.task_queue.task_done() + except queue.Empty: + continue + + def _writer_thread(self): + """Internal method for the writer thread. Only runs if a writer is configured.""" + writer = self.writer + writer_queue = self.writer_queue + if writer is None or writer_queue is None: + raise RuntimeError("Writer thread requires a writer and writer queue") + task_prefix = f"{self.task_name}->" if self.task_name else "" + logger.info(f"--- Starting writer thread (target: {task_prefix}{writer.__name__}) ---") + while not self._stop_event.is_set(): + try: + item_to_write = writer_queue.get(timeout=0.1) + if item_to_write is None: # Sentinel + writer_queue.task_done() + break + + writer(item_to_write) + writer_queue.task_done() + except queue.Empty: + continue + + logger.info(f"--- Writer thread ({task_prefix}{writer.__name__}) finished. ---") + + def _monitor_queues(self, interval=0.1): + """Monitors the queue sizes at regular intervals.""" + while not self._stop_event.wait(interval): + task_qsize = self.task_queue.qsize() + self._task_queue_samples.append(task_qsize) + if task_qsize == 0: + self._task_queue_empty_time += interval + + if self.writer_queue: + writer_qsize = self.writer_queue.qsize() + self._writer_queue_samples.append(writer_qsize) + if writer_qsize == 0: + self._writer_queue_empty_time += interval + + def _run_sync(self): + """Run the pipeline synchronously on the calling thread. + + Used when num_workers == 0. Executes producer→consumer→writer + sequentially without any threading overhead. + """ + import time + start_time = time.time() + + task_desc = f" ({self.task_name})" if self.task_name else "" + logger.info( + f"Running pipeline{task_desc} synchronously..." + ) + + if isinstance(self.producer, ProcessingPipeline): + raise TypeError( + "Upstream ProcessingPipeline as producer is not supported " + "in synchronous mode (num_workers=0)." + ) + + for item in self.producer() if self.producer else (): + if self._stop_event.is_set(): + break + result = self.consumer(item) + self._notify_task_done() + if self._stop_event.is_set(): + break + if self.writer and result is not None: + self.writer(result) + + self._processing_time = time.time() - start_time + logger.info(f"Pipeline{task_desc} processing complete!") + + def run(self): + """Starts and runs the entire processing pipeline. + + If num_workers is 0, runs synchronously on the calling thread. + If producer is a ProcessingPipeline, both pipelines run in parallel with + the upstream pipeline enqueuing its consumer results into this pipeline's + task queue (while still running its own writer side effects). + """ + # Call on_task_done immediately with 0 progress for instant feedback + if self._on_task_done and self._total_items > 0: + self._on_task_done(0, self._total_items) + + if self.num_workers == 0: + return self._run_sync() + + import time + start_time = time.time() + + task_desc = f" ({self.task_name})" if self.task_name else "" + logger.info(f"Starting pipeline{task_desc} with {self.num_workers} worker threads...") + worker_threads = [] + writer_thread = None + producer_thread = None + upstream_pipeline = None + + # Check if producer is a pipeline + if isinstance(self.producer, ProcessingPipeline): + # Producer is an upstream pipeline - wrap its writer to feed our queue + upstream_pipeline = self.producer + original_writer = upstream_pipeline.writer + + def feeding_writer(result): + if result is None: + return + # Preserve upstream writer side effects (e.g., writing to disk) + if original_writer is not None: + original_writer(result) + # Feed the downstream pipeline with the same produced result + self.task_queue.put(result) + + upstream_pipeline.writer = feeding_writer + + def _upstream_producer(): + upstream_pipeline.run() + # Send sentinels after upstream finishes + if not self._stop_event.is_set(): + for _ in range(self.num_workers): + self.task_queue.put(None) + + # Start upstream pipeline in separate thread + producer_thread = threading.Thread(target=_upstream_producer) + producer_thread.start() + elif self.producer is not None: + # Producer is a regular callable - start producer thread + producer_thread = threading.Thread(target=self._producer_thread) + producer_thread.start() + + monitor_thread = threading.Thread(target=self._monitor_queues) + monitor_thread.start() + + # Start the writer thread if configured + if self.writer: + writer_thread = threading.Thread(target=self._writer_thread) + writer_thread.start() + + # Start consumer threads + for i in range(self.num_workers): + thread = threading.Thread( + target=self._consumer_thread, + args=(i + 1,), + name=f"ConsumerThread-{i+1}", + ) + thread.start() + worker_threads.append(thread) + + # Wait for all consumer threads (they exit on sentinel from producer, or stop_event) + for thread in worker_threads: + thread.join() + + # Writer cleanup + if writer_thread: + writer_queue = self.writer_queue + if writer_queue is None: + raise RuntimeError("Writer thread started without a writer queue") + if not self._stop_event.is_set(): + writer_queue.put(None) + writer_thread.join() + + # Stop monitor + self._stop_event.set() + monitor_thread.join() + + self._processing_time = time.time() - start_time + + task_desc = f" ({self.task_name})" if self.task_name else "" + logger.info(f"Pipeline{task_desc} processing complete!") + + def get_queue_stats(self) -> dict[str, Any]: + """Returns a dictionary with queue statistics.""" + stats = {} + if not self._task_queue_samples: + stats["task_queue"] = {"avg_depth": 0, "empty_time": 0} + else: + avg_depth = sum(self._task_queue_samples) / len(self._task_queue_samples) + stats["task_queue"] = { + "avg_depth": avg_depth, + "empty_time": self._task_queue_empty_time, + } + + if self.writer_queue: + if not self._writer_queue_samples: + stats["writer_queue"] = {"avg_depth": 0, "empty_time": 0} + else: + avg_depth = sum(self._writer_queue_samples) / len( + self._writer_queue_samples + ) + stats["writer_queue"] = { + "avg_depth": avg_depth, + "empty_time": self._writer_queue_empty_time, + } + + stats["processing_time"] = self._processing_time + + return stats diff --git a/uv.lock b/uv.lock index 5483d8e..482baf2 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 3 requires-python = ">=3.13" resolution-markers = [ "sys_platform == 'darwin'", @@ -12,6 +12,7 @@ name = "aris" version = "0.1.2" source = { editable = "." } dependencies = [ + { name = "av" }, { name = "ffmpeg-python" }, { name = "matplotlib" }, { name = "numpy" }, @@ -32,6 +33,7 @@ dev = [ [package.metadata] requires-dist = [ + { name = "av", specifier = ">=14" }, { name = "ffmpeg-python", specifier = ">=0.2.0" }, { name = "matplotlib", specifier = ">=3.10.3" }, { name = "numpy", specifier = ">=2.3.1" }, @@ -54,18 +56,44 @@ dev = [ name = "asttokens" version = "3.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/4a/e7/82da0a03e7ba5141f05cce0d302e6eed121ae055e0456ca228bf693984bc/asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", size = 61978 } +sdist = { url = "https://files.pythonhosted.org/packages/4a/e7/82da0a03e7ba5141f05cce0d302e6eed121ae055e0456ca228bf693984bc/asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", size = 61978, upload-time = 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I420 prep and optional gray encode. Move pixel prep into consumers with numpy I420 (or gray when the codec supports it), split encode/mux timing, and drop unused ProcessingThreadPool from the vendored pipeline module. Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 57 ++++++++++++++++++++++++------------ src/aris/video/processing.py | 41 -------------------------- 2 files changed, 39 insertions(+), 59 deletions(-) diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 3458788..5f04409 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -33,6 +33,15 @@ _BASELINE_BITRATE = 5_870_000 +def _codec_accepts_gray(codec_name: str) -> bool: + """True if the encoder lists ``gray`` (Y-only) among its pixel formats.""" + try: + c = av.codec.Codec(codec_name, "w") + except Exception: + return False + return any(f.name == "gray" for f in (c.video_formats or [])) + + class ARIS_File: "This is a class container for the ARIS file headers" @@ -1386,8 +1395,8 @@ def VideoExport( ): """Output video using in-process PyAV, overlapping FrameRead with encode. - Producer runs FrameRead; pass-through consumers (optional timestamp); ordered - writer encodes. Overlaps read/remap with encode like the former ffmpeg pipe. + Producer runs FrameRead; consumers do timestamp/pad/gray→yuv420p; ordered + writer only encodes/muxes. Overlaps prep with encode like the former ffmpeg pipe. Parameters ----------- @@ -1425,12 +1434,15 @@ def VideoExport( frame_indices = range(start_frame - 1, end_frame) n_frames = len(frame_indices) + # libx264/h264/hevc/… accept gray; mpeg4 does not (yuv420p only). + use_gray = _codec_accepts_gray(codec) container = None stream = None progress = tqdm.tqdm(total=n_frames) t_produce = 0.0 t_consume = 0.0 t_encode = 0.0 + t_mux = 0.0 timing_lock = threading.Lock() def producer(): @@ -1460,35 +1472,41 @@ def consumer(item): font = ImageFont.load_default() draw.text(ts_pos, ts, font=font, fill="white") remap = np.asarray(im) - # H.264/HEVC (yuv420p) need even W/H; mpeg4 tolerates odd ARIS remaps. - if codec != "mpeg4": + if use_gray: + video_frame = av.VideoFrame.from_ndarray( + np.ascontiguousarray(remap), format="gray" + ) + else: + # yuv420p (I420) needs even W/H; pad odd ARIS remaps. h, w = remap.shape[:2] if (h | w) & 1: remap = np.pad(remap, ((0, h & 1), (0, w & 1)), mode="edge") + h, w = remap.shape[:2] + # Y = gray, U/V = 128 (I420 = Y plane + half-height chroma block). + yuv = np.vstack([remap, np.full((h // 2, w), 128, dtype=np.uint8)]) + video_frame = av.VideoFrame.from_ndarray(yuv, format="yuv420p") with timing_lock: t_consume += time.perf_counter() - t0 - return out_i, remap + return out_i, video_frame # ProcessingPipeline does not reorder; buffer like muimg VideoEncodePipeline. next_index = 0 frame_buffer = {} def writer(result): - nonlocal container, stream, next_index, t_encode - index, remap = result - frame_buffer[index] = remap + nonlocal container, stream, next_index, t_encode, t_mux + index, video_frame = result + frame_buffer[index] = video_frame while next_index in frame_buffer: - remap = frame_buffer.pop(next_index) - t0 = time.perf_counter() + video_frame = frame_buffer.pop(next_index) if container is None: - height, width = remap.shape[:2] container = av.open(filename, mode="w") stream = container.add_stream( codec, rate=Fraction(fps).limit_denominator() ) - stream.width = width - stream.height = height - stream.pix_fmt = "yuv420p" + stream.width = video_frame.width + stream.height = video_frame.height + stream.pix_fmt = "gray" if use_gray else "yuv420p" # Match former JPEG→ffmpeg -q:v *output size* (not raw # qscale — that under-rates vs the JPEG-pipe path). q = max(int(vbr), 1) @@ -1497,11 +1515,13 @@ def writer(result): # Default tolerance (128k) is below our ~5.87 Mbps target. stream.codec_context.bit_rate_tolerance = br - video_frame = av.VideoFrame.from_ndarray(remap, format="gray") - video_frame = video_frame.reformat(format="yuv420p") - for packet in stream.encode(video_frame): - container.mux(packet) + t0 = time.perf_counter() + packets = list(stream.encode(video_frame)) t_encode += time.perf_counter() - t0 + t0 = time.perf_counter() + for packet in packets: + container.mux(packet) + t_mux += time.perf_counter() - t0 progress.update(1) next_index += 1 @@ -1530,6 +1550,7 @@ def _round_stats(obj): "t_produce": t_produce, "t_consume": t_consume, "t_encode": t_encode, + "t_mux": t_mux, } print(f"queue_stats: {_round_stats(qstats)}", flush=True) print(f"timing: {_round_stats(timing)}", flush=True) diff --git a/src/aris/video/processing.py b/src/aris/video/processing.py index cdd919d..3c0d596 100644 --- a/src/aris/video/processing.py +++ b/src/aris/video/processing.py @@ -14,47 +14,6 @@ DEFAULT_PIPELINE_CALLABLE = object() -class ProcessingThreadPool: - """A simple thread pool for running worker functions with different argument patterns.""" - - def __init__(self, num_workers: int, thread_name_prefix: str = "Worker"): - self.num_workers = num_workers - self.thread_name_prefix = thread_name_prefix - self.threads: list[threading.Thread] = [] - - def run_workers(self, worker_func: Callable[..., Any], worker_args_list: list[tuple[Any, ...]]) -> None: - """ - Run worker functions in parallel threads and wait for completion. - - Args: - worker_func: The function to run in each thread - worker_args_list: List of argument tuples, one per worker - """ - logger.info(f"Starting {len(worker_args_list)} {self.thread_name_prefix} threads...") - - # Clear any previous threads - self.threads.clear() - - # Create and start threads - for worker_id, args in enumerate(worker_args_list): - thread = threading.Thread( - target=worker_func, - args=args, - name=f"{self.thread_name_prefix}-{worker_id}" - ) - self.threads.append(thread) - thread.start() - - # Wait for all threads to complete - for thread in self.threads: - try: - thread.join() - except Exception as e: - logger.error(f"Error joining thread {thread.name} ({type(e).__name__}): {e}") - - logger.info(f"{self.thread_name_prefix} processing complete!") - - class ProcessingPipeline: """Manages a producer-consumer-writer workflow with multiple worker threads.""" From ac7ee8ceaf495123f079b1c09879547fcaa65dd4 Mon Sep 17 00:00:00 2001 From: mu-files Date: Sat, 1 Aug 2026 20:44:40 -0700 Subject: [PATCH 3/8] Speed up cold LUT with vectorized NumPy maps. Replace per-pixel np.vectorize/bisect with a shared angle pass and searchsorted so data_import is no longer dominated by LUT build. Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 32 +++++++++++++++++++++++--------- 1 file changed, 23 insertions(+), 9 deletions(-) diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 5f04409..9e8df9e 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -1265,9 +1265,6 @@ def getBeam(x, y, beamcount): return beamnum -getBeamVec = np.vectorize(getBeam) - - def getBin(x, y, winstart, sampleperiod, soundspeed): angle = np.rad2deg(np.tan(x / y)) hyp = y / np.cos(np.deg2rad(angle)) @@ -1275,7 +1272,16 @@ def getBin(x, y, winstart, sampleperiod, soundspeed): return binnum2 -getBinVec = np.vectorize(getBin) +def _beam_breakpoints(beamcount): + if beamcount == 128: + return np.asarray(beamLookUp.breakpoints128, dtype=np.float64) + if beamcount == 96: + return np.asarray(beamLookUp.breakpoints96, dtype=np.float64) + if beamcount == 64: + return np.asarray(beamLookUp.breakpoints64, dtype=np.float64) + if beamcount == 48: + return np.asarray(beamLookUp.breakpoints48, dtype=np.float64) + raise ValueError(f"Unsupported BeamCount: {beamcount}") def LUT(ARISFile, frame): @@ -1314,15 +1320,23 @@ def LUT(ARISFile, frame): # Create a matrix in real-world coordinates with the sonar located at 0,0 xx, yy = np.meshgrid(x1, y1) - # Use the getBeamVec function to return the map_x - beamcount = frame.BeamCount - beams = getBeamVec(xx, yy, beamcount) + # Shared angle (same formula as getBeam / getBin) + angle = np.rad2deg(np.tan(xx / yy)) + lookup_angle = -angle + + # map_x: beam index via searchsorted (same as bisect_right - 1) + breakpoints = _beam_breakpoints(frame.BeamCount) + beams = np.searchsorted(breakpoints, lookup_angle, side="right") - 1 + valid = (lookup_angle > breakpoints[0]) & (lookup_angle <= breakpoints[-1]) + beams = beams.astype(np.float64, copy=False) + beams[~valid] = 999 - # Create a map_y based on the bin locations + # map_y: range bin (truncate toward zero like int(...)) winstart = frame.WinStart sampleperiod = frame.sampleperiod soundspeed = frame.soundspeed - bins = getBinVec(xx, yy, winstart, sampleperiod, soundspeed) + hyp = yy / np.cos(np.deg2rad(angle)) + bins = np.trunc((2 * (hyp - winstart)) / (sampleperiod * 0.000001 * soundspeed)) # Clip the map_y mask bins = bins.astype(np.float32) From f14fcc97f681b45ad374cc813ebf21b64b10cdef Mon Sep 17 00:00:00 2001 From: mu-files Date: Sun, 2 Aug 2026 14:30:50 -0700 Subject: [PATCH 4/8] Speed up remap with fixed-point maps and deferred VideoExport remap. Move remap out of the producer into consumers, and use convertMaps once so each frame remaps via CV_16SC2 maps without per-frame float remap or uint8 cast. Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 62 +++++++++++++++++++++++---------------- 1 file changed, 37 insertions(+), 25 deletions(-) diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 9e8df9e..8e591f7 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -710,6 +710,8 @@ def DataImport(filename, startFrame=1, frameBuffer=0): output_data.LUT = False output_data.map_y = None output_data.map_x = None + output_data.map_1 = None + output_data.map_2 = None # Load the first frame frame = FrameRead(output_data, startFrame) @@ -718,10 +720,8 @@ def DataImport(filename, startFrame=1, frameBuffer=0): return output_data, frame -def FrameRead(ARIS_data, frameIndex, frameBuffer=None) -> ARIS_Frame: - """The FrameRead function loads in the specified frame data from the raw ARIS data. - The function then calls the remapARIS() function which remaps the raw data into - a 2D real world projection. +def FrameRead(ARIS_data, frameIndex, frameBuffer=None, remap=True) -> ARIS_Frame: + """Load frame data from the raw ARIS file; optionally remap to 2D. Parameters ----------- @@ -729,6 +729,8 @@ def FrameRead(ARIS_data, frameIndex, frameBuffer=None) -> ARIS_Frame: frameIndex : frame number frameBuffer : This parameter add a specified number of pixels around the edges of the remapped frame. + remap : If True (default), call :func:`remapARIS`. If False, only read raw + beam/bin data (and build the LUT once if needed); caller remaps later. Returns ------- @@ -1210,7 +1212,6 @@ def FrameRead(ARIS_data, frameIndex, frameBuffer=None) -> ARIS_Frame: output.frame_data = frame output.WinStart = output.samplestartdelay * 0.000001 * output.soundspeed / 2 - # Close the data file data.close() # Create the lookup table if not present @@ -1218,8 +1219,8 @@ def FrameRead(ARIS_data, frameIndex, frameBuffer=None) -> ARIS_Frame: LUT(ARIS_data, output) ARIS_data.LUT = True - # Remap the frame - remapARIS(ARIS_data, output, frameBuffer) + if remap: + remapARIS(ARIS_data, output, frameBuffer) return output @@ -1343,9 +1344,16 @@ def LUT(ARISFile, frame): mask = np.isnan(beams) bins[mask] = beams[mask] - # Embed the maps in the ARISFile object + # Embed float maps (kept for debugging / callers) and fixed-point maps for remap. ARISFile.map_y = bins ARISFile.map_x = beams.astype(np.float32) + # nninterpolation=True matches INTER_NEAREST (map_2 may be empty). + ARISFile.map_1, ARISFile.map_2 = cv2.convertMaps( + np.ascontiguousarray(ARISFile.map_x), + np.ascontiguousarray(ARISFile.map_y), + cv2.CV_16SC2, + nninterpolation=True, + ) def remapARIS(ARISFile, frame, frameBuffer=None): @@ -1362,12 +1370,13 @@ def remapARIS(ARISFile, frame, frameBuffer=None): ------- A remapped frame which is stored in the frames data structure as frame.remap """ - # Create an empty frame - Remap = np.zeros([ARISFile.ydim, ARISFile.xdim]) - - # Use OpenCV's remap function to populate the empty frame - Remap = cv2.remap(frame.frame_data, ARISFile.map_x, ARISFile.map_y, cv2.INTER_NEAREST) - + # uint8 in → uint8 out; fixed-point maps from LUT/convertMaps + Remap = cv2.remap( + frame.frame_data, + ARISFile.map_1, + ARISFile.map_2, + cv2.INTER_NEAREST, + ) Remap = np.flipud(Remap) # Add buffer is requested @@ -1376,22 +1385,21 @@ def remapARIS(ARISFile, frame, frameBuffer=None): buffX = int(ARISFile.xdim * frameBuffer) Remap = np.concatenate( ( - np.ones([ARISFile.ydim, buffX]), + np.ones([ARISFile.ydim, buffX], dtype=np.uint8), Remap, - np.ones([ARISFile.ydim, buffX]), + np.ones([ARISFile.ydim, buffX], dtype=np.uint8), ), axis=1, ) Remap = np.concatenate( ( - np.ones([buffY, ARISFile.xdim + buffX * 2]), + np.ones([buffY, ARISFile.xdim + buffX * 2], dtype=np.uint8), Remap, - np.ones([buffY, ARISFile.xdim + buffX * 2]), + np.ones([buffY, ARISFile.xdim + buffX * 2], dtype=np.uint8), ) ) - # Add to frame data - frame.remap = Remap.astype("uint8") + frame.remap = Remap def VideoExport( @@ -1406,11 +1414,12 @@ def VideoExport( vbr=10, num_workers=1, codec="mpeg4", + show_progress=True, ): - """Output video using in-process PyAV, overlapping FrameRead with encode. + """Output video using in-process PyAV, overlapping I/O with remap/encode. - Producer runs FrameRead; consumers do timestamp/pad/gray→yuv420p; ordered - writer only encodes/muxes. Overlaps prep with encode like the former ffmpeg pipe. + Producer reads raw frames (no remap); consumers remap + timestamp/pad + + pixel prep; ordered writer only encodes/muxes. Parameters ----------- @@ -1424,6 +1433,7 @@ def VideoExport( vbr : (Int) Variable Bitrate of output video (1-31) 1 being highest quality, 31 being lowest quality num_workers : (Int) Pass-through consumer threads (default 1; raise when consumers do real work) codec : (Str) PyAV encoder name (default ``mpeg4``; e.g. ``h264_videotoolbox``, ``h264_nvenc``) + show_progress : (Bool) Show tqdm progress bar Returns ------- @@ -1452,7 +1462,7 @@ def VideoExport( use_gray = _codec_accepts_gray(codec) container = None stream = None - progress = tqdm.tqdm(total=n_frames) + progress = tqdm.tqdm(total=n_frames, disable=not show_progress) t_produce = 0.0 t_consume = 0.0 t_encode = 0.0 @@ -1463,7 +1473,7 @@ def producer(): nonlocal t_produce for out_i, frame_i in enumerate(frame_indices): t0 = time.perf_counter() - frame = FrameRead(data, frame_i) + frame = FrameRead(data, frame_i, remap=False) t_produce += time.perf_counter() - t0 yield out_i, frame @@ -1471,6 +1481,7 @@ def consumer(item): nonlocal t_consume t0 = time.perf_counter() out_i, frame = item + remapARIS(data, frame, None) remap = frame.remap if timestamp: im = Image.fromarray(remap) @@ -1575,3 +1586,4 @@ def _round_stats(obj): progress.close() if container is not None: container.close() + From f3bf3b143d036a0120d72049c61d3aa9a424234f Mon Sep 17 00:00:00 2001 From: mu-files Date: Sat, 22 Aug 2026 14:49:57 -0700 Subject: [PATCH 5/8] Fix mpeg4 hang on ARIS fractional frame rates. Bound the reciprocal of fps so the timebase denominator stays <= 65535 (matching ffmpeg's -r reduction). Add unit coverage and an integration export of two frames at each sample file's native fps. Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 14 ++- tests/integration/test_video_export_fps.py | 118 +++++++++++++++++++++ tests/unit/test_mpeg4_rate.py | 46 ++++++++ 3 files changed, 177 insertions(+), 1 deletion(-) create mode 100644 tests/integration/test_video_export_fps.py create mode 100644 tests/unit/test_mpeg4_rate.py diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 8e591f7..de3659b 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -42,6 +42,17 @@ def _codec_accepts_gray(codec_name: str) -> bool: return any(f.name == "gray" for f in (c.video_formats or [])) +def _mpeg4_compatible_rate(fps: float) -> Fraction: + """Return a frame rate Fraction legal for mpeg4's timebase limit. + + Mpeg4 caps the timebase denominator at 65535. The timebase is ``1/rate``, + so the rate *numerator* must be bounded: limit the reciprocal, then invert. + Exact rates such as 24 and 29.97 are preserved; near-15 ARIS rates (e.g. + ``15.000149726867676``) become ``65521/4368``. + """ + return 1 / (1 / Fraction(fps)).limit_denominator(65535) + + class ARIS_File: "This is a class container for the ARIS file headers" @@ -1526,8 +1537,9 @@ def writer(result): video_frame = frame_buffer.pop(next_index) if container is None: container = av.open(filename, mode="w") + # mpeg4 caps timebase den at 65535; bound the reciprocal of fps. stream = container.add_stream( - codec, rate=Fraction(fps).limit_denominator() + codec, rate=_mpeg4_compatible_rate(fps) ) stream.width = video_frame.width stream.height = video_frame.height diff --git a/tests/integration/test_video_export_fps.py b/tests/integration/test_video_export_fps.py new file mode 100644 index 0000000..13b9511 --- /dev/null +++ b/tests/integration/test_video_export_fps.py @@ -0,0 +1,118 @@ +"""Regression: VideoExport must accept ARIS-like fractional fps under mpeg4.""" + +import os +from pathlib import Path + +import av +import pytest + +from aris.pyARIS import pyARIS + +_LFS_POINTER_PREFIX = b"version https://git-lfs.github.com/spec/v1" + +_DEFAULT_ARIS_DIR = Path.home() / "Projects" / "data" / "arisfiles" + +_FIXTURES_ARIS_DIR = Path(__file__).resolve().parent.parent / "fixtures" / "aris" + + +def _is_lfs_pointer(path: Path) -> bool: + """True if path is a Git LFS pointer stub (not the real object).""" + if not path.is_file(): + return False + try: + with path.open("rb") as f: + first = f.readline() + except OSError: + return False + return first.startswith(_LFS_POINTER_PREFIX) + + +def _usable_aris(path: Path) -> bool: + """True if path exists and is not a Git LFS pointer stub.""" + return path.is_file() and not _is_lfs_pointer(path) + + +def _aris_dirs() -> list[Path]: + """Candidate directories: ARIS_TEST_DIR, fixtures, then ~/Projects default.""" + dirs: list[Path] = [] + env = os.environ.get("ARIS_TEST_DIR") + if env: + dirs.append(Path(env).expanduser()) + env_file = os.environ.get("ARIS_TEST_FILE") + if env_file: + parent = Path(env_file).expanduser().resolve().parent + if parent not in dirs: + dirs.append(parent) + dirs.append(_FIXTURES_ARIS_DIR) + dirs.append(_DEFAULT_ARIS_DIR) + return dirs + + +def _collect_aris_files() -> list[Path]: + """Usable .aris files from the first directory that has any.""" + for directory in _aris_dirs(): + if not directory.is_dir(): + continue + batch = sorted(p for p in directory.glob("*.aris") if _usable_aris(p)) + if batch: + return batch + return [] + + +def _aris_skip_reason() -> str: + fixture = _FIXTURES_ARIS_DIR / "2025-05-13_092300.aris" + if _is_lfs_pointer(fixture): + return ( + f"{fixture} is a Git LFS pointer, not the real file. " + "Run `git lfs pull`, set ARIS_TEST_DIR / ARIS_TEST_FILE, " + f"or place .aris samples in {_DEFAULT_ARIS_DIR}" + ) + return ( + "No usable ARIS files: need Git LFS fixtures, ARIS_TEST_DIR / " + f"ARIS_TEST_FILE, or .aris samples in {_DEFAULT_ARIS_DIR}" + ) + + +def pytest_generate_tests(metafunc: pytest.Metafunc) -> None: + if "aris_path" not in metafunc.fixturenames: + return + files = _collect_aris_files() + if not files: + metafunc.parametrize( + "aris_path", + [pytest.param(None, id="no-aris-files")], + ) + return + metafunc.parametrize( + "aris_path", + [pytest.param(p, id=p.name) for p in files], + ) + + +@pytest.mark.slow +def test_video_export_source_fps_writes_two_frames(aris_path: Path | None, tmp_path: Path): + """Export two frames at each file's native fps; must complete and write.""" + if aris_path is None: + pytest.skip(_aris_skip_reason()) + + data, first = pyARIS.DataImport(str(aris_path)) + fps = float(first.framerate) if first.framerate > 0 else 24.0 + out = tmp_path / f"{aris_path.stem}_two_frames.mp4" + + pyARIS.VideoExport( + data, + str(out), + fps=fps, + start_frame=1, + end_frame=2, + timestamp=False, + show_progress=False, + ) + + assert out.exists() + assert out.stat().st_size > 0 + + with av.open(str(out)) as container: + stream = container.streams.video[0] + frames = sum(1 for _ in container.decode(stream)) + assert frames == 2 diff --git a/tests/unit/test_mpeg4_rate.py b/tests/unit/test_mpeg4_rate.py new file mode 100644 index 0000000..17a6553 --- /dev/null +++ b/tests/unit/test_mpeg4_rate.py @@ -0,0 +1,46 @@ +"""Unit tests for mpeg4-compatible frame-rate Fractions.""" + +from fractions import Fraction + +import pytest + +from aris.pyARIS.pyARIS import _mpeg4_compatible_rate + +# Mpeg4 encoder rejects timebases whose denominator exceeds this. +_MPEG4_MAX_TIMEBASE_DEN = 65535 + + +def _timebase_denominator(rate: Fraction) -> int: + """Mpeg4 timebase is 1/rate → denominator is the rate numerator.""" + return rate.numerator + + +@pytest.mark.parametrize( + "fps", + [ + 15.000149726867676, # typical ARIS instantaneous rate + 5.607141017913818, # also seen in local recordings + 15.0, + 24.0, + 29.97, + 59.94, + ], +) +def test_mpeg4_compatible_rate_timebase_within_limit(fps: float) -> None: + rate = _mpeg4_compatible_rate(fps) + assert isinstance(rate, Fraction) + assert _timebase_denominator(rate) <= _MPEG4_MAX_TIMEBASE_DEN + assert abs(float(rate) - fps) < 1e-3 + + +def test_aris_near_15_matches_ffmpeg_reduction() -> None: + """ffmpeg -r 15.000149… lands on 65521/4368; match that.""" + rate = _mpeg4_compatible_rate(15.000149726867676) + assert rate == Fraction(65521, 4368) + + +def test_naive_limit_denominator_is_illegal_for_aris_rate() -> None: + """Document why Fraction(fps).limit_denominator() is insufficient.""" + fps = 15.000149726867676 + naive = Fraction(fps).limit_denominator() + assert _timebase_denominator(naive) > _MPEG4_MAX_TIMEBASE_DEN From 8b416f9529312b5f357b2684a07f71309ca6de1d Mon Sep 17 00:00:00 2001 From: mu-files Date: Sat, 22 Aug 2026 17:10:27 -0700 Subject: [PATCH 6/8] Propagate pipeline errors and fix cancel/reuse semantics. ProcessingPipeline previously swallowed consumer errors, deadlocked on writer failures, and reported cancelled after clean runs: - Record the first error (producer/consumer/writer) and re-raise it from run(); failures cancel the run instead of hanging or truncating output silently. - Separate cancelled from finished so a clean run leaves cancelled False and the pipeline reusable. - All queue puts go through a timed, stop-aware helper so no thread can block forever on a full queue. - Recreate queues and reset progress/stats each run so a failed or cancelled run cannot leak stale items or sentinels into the next one. - Guard progress counting and first-error recording with a lock; progress callbacks are now serialized and in order. - Raise ValueError for a None producer with workers (was a hang) and remove the unused chained-pipeline path and DEFAULT_PIPELINE_CALLABLE. - VideoExport asserts its reorder buffer is drained after run(). Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 3 + src/aris/video/processing.py | 187 +++++++++++----------- tests/unit/test_processing_pipeline.py | 211 +++++++++++++++++++++++++ 3 files changed, 313 insertions(+), 88 deletions(-) create mode 100644 tests/unit/test_processing_pipeline.py diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index de3659b..5a065de 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -1580,6 +1580,9 @@ def _round_stats(obj): task_name="VideoExport", ) pipeline.run() + assert not frame_buffer, ( + f"VideoExport reorder buffer not drained: {sorted(frame_buffer)}" + ) progress.close() qstats = pipeline.get_queue_stats() timing = { diff --git a/src/aris/video/processing.py b/src/aris/video/processing.py index 3c0d596..0ee0b0f 100644 --- a/src/aris/video/processing.py +++ b/src/aris/video/processing.py @@ -9,17 +9,13 @@ logger = logging.getLogger(__name__) -# Sentinel value to distinguish "not provided" from "explicitly None" -# Used in pipeline __init__ to allow: default behavior, explicit None, or custom callable -DEFAULT_PIPELINE_CALLABLE = object() - class ProcessingPipeline: """Manages a producer-consumer-writer workflow with multiple worker threads.""" def __init__( self, - producer: Callable[[], Iterable[Any]] | "ProcessingPipeline" | None, + producer: Callable[[], Iterable[Any]] | None, consumer: Callable[[Any], Any], writer: Callable[[Any], None] = None, num_workers: int = 4, @@ -33,12 +29,8 @@ def __init__( Initializes the processing pipeline. Args: - producer: Either: - - A no-argument callable called as producer() that returns an - iterable of input items (Iterable[Any]), or - - Another ProcessingPipeline instance, in which case this - pipeline will consume items produced by the upstream - pipeline. + producer: A no-argument callable called as producer() that returns an + iterable of input items (Iterable[Any]). consumer: A one-argument callable called as consumer(item) that processes a single input item. - If writer is provided, consumer(item) should return the @@ -58,18 +50,12 @@ def __init__( cancellation. total_items: Total number of items to process. Passed to on_task_done. """ - # Check if producer is a pipeline or callable - is_pipeline_producer = isinstance(producer, ProcessingPipeline) - if not is_pipeline_producer and producer is not None and not callable(producer): - raise TypeError("Producer must be a callable that returns an iterable, or a ProcessingPipeline.") + if producer is not None and not callable(producer): + raise TypeError("Producer must be a callable that returns an iterable.") if not callable(consumer): raise TypeError("Consumer must be a callable.") if writer and not callable(writer): raise TypeError("Writer must be a callable if provided.") - - # Validate that upstream pipeline has a writer - if is_pipeline_producer and not producer.writer: - raise ValueError("Upstream ProcessingPipeline must have a writer to feed this pipeline.") self.producer = producer self.consumer = consumer @@ -86,40 +72,68 @@ def __init__( self.writer_queue = None self._stop_event = threading.Event() + self._cancelled = False + self._error = None + # Guards _completed and _error against concurrent consumer threads + self._lock = threading.Lock() - # Skip queue/threading allocation for synchronous mode + # Queues are created per-run in run(); only the sizes are fixed here. + self.task_queue = None if num_workers > 0: if queue_size is None: queue_size = num_workers * 4 - self.task_queue = queue.Queue(maxsize=queue_size) + self._queue_size = queue_size # Writer-specific setup if self.writer: if writer_queue_size is None: writer_queue_size = queue_size - self.writer_queue = queue.Queue(maxsize=writer_queue_size) + self._writer_queue_size = writer_queue_size self._writer_queue_samples = [] self._writer_queue_empty_time = 0 def cancel(self): """Request cancellation of the pipeline. - - Stops the producer from reading more items and signals consumer/writer - threads to finish processing remaining queued items and exit. + + Stops the producer from enqueueing more items and signals consumer/writer + threads to exit when they next check the stop flag. Queued items may be + left unprocessed. """ logger.info(f"Pipeline cancel requested{f' ({self.task_name})' if self.task_name else ''}") + self._cancelled = True self._stop_event.set() @property def cancelled(self) -> bool: """True if cancel() has been called.""" - return self._stop_event.is_set() + return self._cancelled + + def _fail(self, exc: BaseException) -> None: + with self._lock: + if self._error is None: + self._error = exc + self.cancel() + + def _put(self, q: queue.Queue, item: Any, timeout: float = 0.1) -> None: + """Put item on q, retrying while full. No-op if stopped before put.""" + while not self._stop_event.is_set(): + try: + q.put(item, timeout=timeout) + return + except queue.Full: + continue def _notify_task_done(self): - """Increment completed count, call on_task_done, and cancel if requested.""" + """Increment completed count, call on_task_done, and cancel if requested. + + The lock is held across the callback so progress reports are serialized + and arrive in increasing order; callbacks should be quick. + """ if self._on_task_done: - self._completed += 1 - if self._on_task_done(self._completed, self._total_items): + with self._lock: + self._completed += 1 + cancel_requested = self._on_task_done(self._completed, self._total_items) + if cancel_requested: self.cancel() def _producer_thread(self): @@ -134,18 +148,18 @@ def _producer_thread(self): if self._stop_event.is_set(): logger.info(f"--- Producer thread ({task_prefix}{producer.__name__}) cancelled. ---") break - while not self._stop_event.is_set(): - try: - self.task_queue.put(item, timeout=0.1) - break - except queue.Full: - continue - finally: - # Send sentinels so consumers know no more items are coming - if not self._stop_event.is_set(): + self._put(self.task_queue, item) + else: + # Normal completion: wake consumers. On cancel/fail they exit via stop. for _ in range(self.num_workers): - self.task_queue.put(None) - logger.info(f"--- Producer thread ({task_prefix}{producer.__name__}) finished. ---") + self._put(self.task_queue, None) + except Exception as e: + logger.error( + f"Exception in producer thread ({type(e).__name__}): {e}", + exc_info=True, + ) + self._fail(e) + logger.info(f"--- Producer thread ({task_prefix}{producer.__name__}) finished. ---") def _consumer_thread(self, thread_num: int): """Internal method for consumer workers.""" @@ -167,10 +181,10 @@ def _consumer_thread(self, thread_num: int): # If there's a writer, pass the result to the writer queue writer_queue = self.writer_queue if self.writer and result is not None and writer_queue is not None: - writer_queue.put(result) + self._put(writer_queue, result) except Exception as e: logger.error(f"Exception in consumer thread {thread_num} processing task ({type(e).__name__}): {e}", exc_info=True) - # Continue processing other tasks even if one fails + self._fail(e) finally: # Always mark task as done to prevent queue.join() from hanging self.task_queue.task_done() @@ -192,7 +206,13 @@ def _writer_thread(self): writer_queue.task_done() break - writer(item_to_write) + try: + writer(item_to_write) + except Exception as e: + logger.error(f"Exception in writer thread ({type(e).__name__}): {e}", exc_info=True) + writer_queue.task_done() + self._fail(e) + break writer_queue.task_done() except queue.Empty: continue @@ -226,13 +246,7 @@ def _run_sync(self): logger.info( f"Running pipeline{task_desc} synchronously..." ) - - if isinstance(self.producer, ProcessingPipeline): - raise TypeError( - "Upstream ProcessingPipeline as producer is not supported " - "in synchronous mode (num_workers=0)." - ) - + for item in self.producer() if self.producer else (): if self._stop_event.is_set(): break @@ -250,17 +264,38 @@ def run(self): """Starts and runs the entire processing pipeline. If num_workers is 0, runs synchronously on the calling thread. - If producer is a ProcessingPipeline, both pipelines run in parallel with - the upstream pipeline enqueuing its consumer results into this pipeline's - task queue (while still running its own writer side effects). """ + self._stop_event.clear() + self._cancelled = False + self._error = None + self._completed = 0 + # Call on_task_done immediately with 0 progress for instant feedback if self._on_task_done and self._total_items > 0: self._on_task_done(0, self._total_items) if self.num_workers == 0: return self._run_sync() - + + if self.producer is None: + # Without a producer no items or sentinels ever reach the task + # queue, so consumers would block forever in run(). + raise ValueError( + "A producer is required when num_workers > 0; " + "consumers would wait forever on an unfed task queue." + ) + + # Recreate queues so items/sentinels left over from a previous + # failed or cancelled run cannot leak into this one, and reset + # queue stats so get_queue_stats() reflects only this run. + self.task_queue = queue.Queue(maxsize=self._queue_size) + self._task_queue_samples = [] + self._task_queue_empty_time = 0 + if self.writer: + self.writer_queue = queue.Queue(maxsize=self._writer_queue_size) + self._writer_queue_samples = [] + self._writer_queue_empty_time = 0 + import time start_time = time.time() @@ -269,37 +304,8 @@ def run(self): worker_threads = [] writer_thread = None producer_thread = None - upstream_pipeline = None - - # Check if producer is a pipeline - if isinstance(self.producer, ProcessingPipeline): - # Producer is an upstream pipeline - wrap its writer to feed our queue - upstream_pipeline = self.producer - original_writer = upstream_pipeline.writer - - def feeding_writer(result): - if result is None: - return - # Preserve upstream writer side effects (e.g., writing to disk) - if original_writer is not None: - original_writer(result) - # Feed the downstream pipeline with the same produced result - self.task_queue.put(result) - - upstream_pipeline.writer = feeding_writer - - def _upstream_producer(): - upstream_pipeline.run() - # Send sentinels after upstream finishes - if not self._stop_event.is_set(): - for _ in range(self.num_workers): - self.task_queue.put(None) - - # Start upstream pipeline in separate thread - producer_thread = threading.Thread(target=_upstream_producer) - producer_thread.start() - elif self.producer is not None: - # Producer is a regular callable - start producer thread + + if self.producer is not None: producer_thread = threading.Thread(target=self._producer_thread) producer_thread.start() @@ -325,16 +331,18 @@ def _upstream_producer(): for thread in worker_threads: thread.join() + if producer_thread is not None: + producer_thread.join() + # Writer cleanup if writer_thread: writer_queue = self.writer_queue if writer_queue is None: raise RuntimeError("Writer thread started without a writer queue") - if not self._stop_event.is_set(): - writer_queue.put(None) + self._put(writer_queue, None) writer_thread.join() - # Stop monitor + # Stop monitor (does not mark the run as cancelled) self._stop_event.set() monitor_thread.join() @@ -343,6 +351,9 @@ def _upstream_producer(): task_desc = f" ({self.task_name})" if self.task_name else "" logger.info(f"Pipeline{task_desc} processing complete!") + if self._error is not None: + raise self._error + def get_queue_stats(self) -> dict[str, Any]: """Returns a dictionary with queue statistics.""" stats = {} diff --git a/tests/unit/test_processing_pipeline.py b/tests/unit/test_processing_pipeline.py new file mode 100644 index 0000000..ea58952 --- /dev/null +++ b/tests/unit/test_processing_pipeline.py @@ -0,0 +1,211 @@ +"""Unit tests for ProcessingPipeline error and cancel semantics.""" + +import time + +import pytest + +from aris.video.processing import ProcessingPipeline + + +def test_clean_run_is_not_cancelled(): + seen = [] + + def producer(): + yield from range(10) + + pipeline = ProcessingPipeline( + producer, + consumer=lambda x: x, + writer=seen.append, + num_workers=2, + queue_size=8, + ) + pipeline.run() + + assert sorted(seen) == list(range(10)) + assert pipeline.cancelled is False + + +def test_clean_run_can_be_reused(): + seen = [] + progress = [] + + def producer(): + yield from (1, 2, 3) + + def on_task_done(completed, total): + progress.append((completed, total)) + return False + + pipeline = ProcessingPipeline( + producer, + consumer=lambda x: x, + writer=seen.append, + num_workers=1, + on_task_done=on_task_done, + total_items=3, + ) + pipeline.run() + pipeline.run() + + assert sorted(seen) == [1, 1, 2, 2, 3, 3] + assert pipeline.cancelled is False + assert progress == [ + (0, 3), + (1, 3), + (2, 3), + (3, 3), + (0, 3), + (1, 3), + (2, 3), + (3, 3), + ] + + +def test_writer_failure_raises_and_does_not_hang(): + def producer(): + yield from range(20) + + def writer(_item): + raise RuntimeError("writer boom") + + pipeline = ProcessingPipeline( + producer, + consumer=lambda x: x, + writer=writer, + num_workers=2, + queue_size=4, + writer_queue_size=2, + ) + + t0 = time.perf_counter() + with pytest.raises(RuntimeError, match="writer boom"): + pipeline.run() + assert time.perf_counter() - t0 < 5.0 + assert pipeline.cancelled is True + + +def test_consumer_failure_raises_and_does_not_hang(): + def producer(): + yield from range(20) + + def consumer(item): + if item == 3: + raise ValueError("consumer boom") + return item + + pipeline = ProcessingPipeline( + producer, + consumer=consumer, + writer=lambda _x: None, + num_workers=2, + queue_size=4, + ) + + t0 = time.perf_counter() + with pytest.raises(ValueError, match="consumer boom"): + pipeline.run() + assert time.perf_counter() - t0 < 5.0 + assert pipeline.cancelled is True + + +def test_producer_failure_raises_and_does_not_hang(): + def producer(): + yield 0 + yield 1 + raise RuntimeError("producer boom") + + pipeline = ProcessingPipeline( + producer, + consumer=lambda x: x, + writer=lambda _x: None, + num_workers=2, + queue_size=4, + ) + + t0 = time.perf_counter() + with pytest.raises(RuntimeError, match="producer boom"): + pipeline.run() + assert time.perf_counter() - t0 < 5.0 + assert pipeline.cancelled is True + + +def test_progress_counts_are_complete_and_ordered(): + total = 200 + progress = [] + + def producer(): + yield from range(total) + + def on_task_done(completed, _total): + progress.append(completed) + return False + + pipeline = ProcessingPipeline( + producer, + consumer=lambda x: x, + writer=lambda _x: None, + num_workers=4, + on_task_done=on_task_done, + total_items=total, + ) + pipeline.run() + + # Initial 0 call, then every count exactly once, in order. + assert progress == list(range(total + 1)) + + +def test_failed_run_does_not_poison_next_run(): + seen = [] + fail_first_run = [True] + + def producer(): + yield from range(10) + + def writer(item): + if fail_first_run[0]: + fail_first_run[0] = False + raise RuntimeError("first run boom") + seen.append(item) + + pipeline = ProcessingPipeline( + producer, + consumer=lambda x: x, + writer=writer, + num_workers=2, + queue_size=2, + writer_queue_size=2, + ) + + with pytest.raises(RuntimeError, match="first run boom"): + pipeline.run() + assert pipeline.cancelled is True + + # Second run must see exactly the fresh items: no stale tasks + # (duplicates) and no stale sentinels (truncation) from the first run. + seen.clear() + pipeline.run() + assert sorted(seen) == list(range(10)) + assert pipeline.cancelled is False + + +def test_none_producer_with_workers_raises_instead_of_hanging(): + pipeline = ProcessingPipeline( + None, + consumer=lambda x: x, + num_workers=2, + ) + + with pytest.raises(ValueError, match="producer is required"): + pipeline.run() + + +def test_none_producer_sync_mode_is_a_noop(): + pipeline = ProcessingPipeline( + None, + consumer=lambda x: x, + num_workers=0, + ) + pipeline.run() + + assert pipeline.cancelled is False From 93216d88d1b78147da25234a5143f1a51ca1f113 Mon Sep 17 00:00:00 2001 From: mu-files Date: Sat, 22 Aug 2026 18:06:42 -0700 Subject: [PATCH 7/8] Restore mpeg4 limited range and qscale; drop gray encode. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Players treat untagged yuv420p as limited range, so full-range remap looked crushed. Map 0–255 to 16–235 before I420, and encode with ffmpeg -q:v semantics (qscale, qmin=qmax=vbr) instead of a fixed bitrate. Always pad odd dims and use yuv420p so the path matches main CLI quality at a smaller file size. Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 57 +++++++++++++++------------------------ 1 file changed, 22 insertions(+), 35 deletions(-) diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 5a065de..5f6164b 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -26,20 +26,15 @@ from ..video.processing import ProcessingPipeline from . import beamLookUp -# Clean-main baseline (JPEG→ffmpeg -q:v 10) landed ~5.87 Mbps on SHARE -# workloads. Fixed qmin=qmax=vbr under-rates (~0.81×); target that bitrate -# and scale with vbr (bitrate ∝ 1/vbr). -_BASELINE_VBR = 10 -_BASELINE_BITRATE = 5_870_000 +# FF_QP2LAMBDA: ffmpeg -q:v N sets global_quality = N * 118. +_FF_QP2LAMBDA = 118 - -def _codec_accepts_gray(codec_name: str) -> bool: - """True if the encoder lists ``gray`` (Y-only) among its pixel formats.""" - try: - c = av.codec.Codec(codec_name, "w") - except Exception: - return False - return any(f.name == "gray" for f in (c.video_formats or [])) +# mpeg4 / yuv420p does not reliably signal full range. Map 0–255 → 16–235 +# so a limited-range player stretch recovers the remapped gray. +_FULL_TO_LIMITED = np.array( + [16 + int(round(i * 219 / 255)) for i in range(256)], + dtype=np.uint8, +) def _mpeg4_compatible_rate(fps: float) -> Fraction: @@ -1441,7 +1436,7 @@ def VideoExport( timestamp : (Bool) Add the timestamp from the sonar to the video frames fontsize : (Int) Size of timestamp font ts_pos : (Tuple) (x,y) location of the timestamp - vbr : (Int) Variable Bitrate of output video (1-31) 1 being highest quality, 31 being lowest quality + vbr : (Int) mpeg4 quantizer (1–31); 1 is highest quality, 31 lowest. Same as ffmpeg -q:v. num_workers : (Int) Pass-through consumer threads (default 1; raise when consumers do real work) codec : (Str) PyAV encoder name (default ``mpeg4``; e.g. ``h264_videotoolbox``, ``h264_nvenc``) show_progress : (Bool) Show tqdm progress bar @@ -1469,8 +1464,6 @@ def VideoExport( frame_indices = range(start_frame - 1, end_frame) n_frames = len(frame_indices) - # libx264/h264/hevc/… accept gray; mpeg4 does not (yuv420p only). - use_gray = _codec_accepts_gray(codec) container = None stream = None progress = tqdm.tqdm(total=n_frames, disable=not show_progress) @@ -1508,19 +1501,15 @@ def consumer(item): font = ImageFont.load_default() draw.text(ts_pos, ts, font=font, fill="white") remap = np.asarray(im) - if use_gray: - video_frame = av.VideoFrame.from_ndarray( - np.ascontiguousarray(remap), format="gray" - ) - else: - # yuv420p (I420) needs even W/H; pad odd ARIS remaps. + remap = cv2.LUT(np.ascontiguousarray(remap), _FULL_TO_LIMITED) + # yuv420p (I420) needs even W/H; pad odd ARIS remaps. + h, w = remap.shape[:2] + if (h | w) & 1: + remap = np.pad(remap, ((0, h & 1), (0, w & 1)), mode="edge") h, w = remap.shape[:2] - if (h | w) & 1: - remap = np.pad(remap, ((0, h & 1), (0, w & 1)), mode="edge") - h, w = remap.shape[:2] - # Y = gray, U/V = 128 (I420 = Y plane + half-height chroma block). - yuv = np.vstack([remap, np.full((h // 2, w), 128, dtype=np.uint8)]) - video_frame = av.VideoFrame.from_ndarray(yuv, format="yuv420p") + # Y = limited-range gray, U/V = 128 (I420 = Y + half-height chroma). + yuv = np.vstack([remap, np.full((h // 2, w), 128, dtype=np.uint8)]) + video_frame = av.VideoFrame.from_ndarray(yuv, format="yuv420p") with timing_lock: t_consume += time.perf_counter() - t0 return out_i, video_frame @@ -1543,14 +1532,12 @@ def writer(result): ) stream.width = video_frame.width stream.height = video_frame.height - stream.pix_fmt = "gray" if use_gray else "yuv420p" - # Match former JPEG→ffmpeg -q:v *output size* (not raw - # qscale — that under-rates vs the JPEG-pipe path). + stream.pix_fmt = "yuv420p" q = max(int(vbr), 1) - br = max(1, int(_BASELINE_BITRATE * _BASELINE_VBR / q)) - stream.bit_rate = br - # Default tolerance (128k) is below our ~5.87 Mbps target. - stream.codec_context.bit_rate_tolerance = br + ctx = stream.codec_context + ctx.flags |= av.codec.context.Flags.qscale + ctx.global_quality = q * _FF_QP2LAMBDA + ctx.qmin = ctx.qmax = q t0 = time.perf_counter() packets = list(stream.encode(video_frame)) From df9ca9bd0df9648b915e60c54490f3493ccffe4b Mon Sep 17 00:00:00 2001 From: mu-files Date: Sat, 22 Aug 2026 18:08:54 -0700 Subject: [PATCH 8/8] Remove VideoExport debug logging and timing prints. Co-authored-by: Cursor --- src/aris/pyARIS/pyARIS.py | 43 ++------------------------------------- 1 file changed, 2 insertions(+), 41 deletions(-) diff --git a/src/aris/pyARIS/pyARIS.py b/src/aris/pyARIS/pyARIS.py index 5f6164b..26dbd40 100644 --- a/src/aris/pyARIS/pyARIS.py +++ b/src/aris/pyARIS/pyARIS.py @@ -12,8 +12,6 @@ import array import datetime import struct -import threading -import time from fractions import Fraction import av @@ -1459,31 +1457,18 @@ def VideoExport( if end_frame is None: end_frame = data.FrameCount - # TEMP: surface libav / videotoolbox messages on stderr while debugging HW encode. - av.logging.set_level(av.logging.VERBOSE) - frame_indices = range(start_frame - 1, end_frame) n_frames = len(frame_indices) container = None stream = None progress = tqdm.tqdm(total=n_frames, disable=not show_progress) - t_produce = 0.0 - t_consume = 0.0 - t_encode = 0.0 - t_mux = 0.0 - timing_lock = threading.Lock() def producer(): - nonlocal t_produce for out_i, frame_i in enumerate(frame_indices): - t0 = time.perf_counter() frame = FrameRead(data, frame_i, remap=False) - t_produce += time.perf_counter() - t0 yield out_i, frame def consumer(item): - nonlocal t_consume - t0 = time.perf_counter() out_i, frame = item remapARIS(data, frame, None) remap = frame.remap @@ -1510,8 +1495,6 @@ def consumer(item): # Y = limited-range gray, U/V = 128 (I420 = Y + half-height chroma). yuv = np.vstack([remap, np.full((h // 2, w), 128, dtype=np.uint8)]) video_frame = av.VideoFrame.from_ndarray(yuv, format="yuv420p") - with timing_lock: - t_consume += time.perf_counter() - t0 return out_i, video_frame # ProcessingPipeline does not reorder; buffer like muimg VideoEncodePipeline. @@ -1519,7 +1502,7 @@ def consumer(item): frame_buffer = {} def writer(result): - nonlocal container, stream, next_index, t_encode, t_mux + nonlocal container, stream, next_index index, video_frame = result frame_buffer[index] = video_frame while next_index in frame_buffer: @@ -1539,23 +1522,11 @@ def writer(result): ctx.global_quality = q * _FF_QP2LAMBDA ctx.qmin = ctx.qmax = q - t0 = time.perf_counter() - packets = list(stream.encode(video_frame)) - t_encode += time.perf_counter() - t0 - t0 = time.perf_counter() - for packet in packets: + for packet in stream.encode(video_frame): container.mux(packet) - t_mux += time.perf_counter() - t0 progress.update(1) next_index += 1 - def _round_stats(obj): - if isinstance(obj, dict): - return {k: _round_stats(v) for k, v in obj.items()} - if isinstance(obj, float): - return round(obj, 2) - return obj - try: if n_frames > 0: pipeline = ProcessingPipeline( @@ -1571,16 +1542,6 @@ def _round_stats(obj): f"VideoExport reorder buffer not drained: {sorted(frame_buffer)}" ) progress.close() - qstats = pipeline.get_queue_stats() - timing = { - "processing_time": qstats.pop("processing_time", 0.0), - "t_produce": t_produce, - "t_consume": t_consume, - "t_encode": t_encode, - "t_mux": t_mux, - } - print(f"queue_stats: {_round_stats(qstats)}", flush=True) - print(f"timing: {_round_stats(timing)}", flush=True) if stream is not None: for packet in stream.encode(): container.mux(packet)