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Automatically detect hwaccel args (#9142)

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* Automatically detect nvidia / vaapi hwaccel args

* Update docs

* Use auto for hwaccel args

* Formatting
This commit is contained in:
Nicolas Mowen 2024-01-01 09:36:40 -06:00 committed by Blake Blackshear
parent a946a8f099
commit 0ee81c7526
7 changed files with 84 additions and 20 deletions
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4
docs/docs/configuration/ffmpeg_presets.md
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@ -18,9 +18,7 @@ See [the hwaccel docs](/configuration/hardware_acceleration.md) for more info on
| preset-vaapi | Intel & AMD VAAPI | Check hwaccel docs to ensure correct driver is chosen |
| preset-intel-qsv-h264 | Intel QSV with h264 stream | If issues occur recommend using vaapi preset instead |
| preset-intel-qsv-h265 | Intel QSV with h265 stream | If issues occur recommend using vaapi preset instead |
| preset-nvidia-h264 | Nvidia GPU with h264 stream | |
| preset-nvidia-h265 | Nvidia GPU with h265 stream | |
| preset-nvidia-mjpeg | Nvidia GPU with mjpeg stream | Recommend restreaming mjpeg and using nvidia-h264 |
| preset-nvidia | Nvidia GPU | |
| preset-jetson-h264 | Nvidia Jetson with h264 stream | |
| preset-jetson-h265 | Nvidia Jetson with h265 stream | |
| preset-rk-h264 | Rockchip MPP with h264 stream | Use image with *-rk suffix and privileged mode |

4
docs/docs/configuration/hardware_acceleration.md
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@ -5,7 +5,9 @@ title: Hardware Acceleration
# Hardware Acceleration
It is recommended to update your configuration to enable hardware accelerated decoding in ffmpeg. Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
It is highly recommended to use a GPU for hardware acceleration in Frigate. Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg.
Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
# Officially Supported

4
docs/docs/configuration/reference.md
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@ -151,9 +151,9 @@ birdseye:
ffmpeg:
# Optional: global ffmpeg args (default: shown below)
global_args: -hide_banner -loglevel warning -threads 2
# Optional: global hwaccel args (default: shown below)
# Optional: global hwaccel args (default: auto detect)
# NOTE: See hardware acceleration docs for your specific device
hwaccel_args: []
hwaccel_args: "auto"
# Optional: global input args (default: shown below)
input_args: preset-rtsp-generic
# Optional: global output args

8
frigate/config.py
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@ -39,7 +39,7 @@ from frigate.util.builtin import (
load_config_with_no_duplicates,
)
from frigate.util.image import create_mask
from frigate.util.services import get_video_properties
from frigate.util.services import auto_detect_hwaccel, get_video_properties
logger = logging.getLogger(__name__)
@ -600,7 +600,7 @@ class FfmpegConfig(FrigateBaseModel):
default=FFMPEG_GLOBAL_ARGS_DEFAULT, title="Global FFmpeg arguments."
)
hwaccel_args: Union[str, List[str]] = Field(
default_factory=list, title="FFmpeg hardware acceleration arguments."
default="auto", title="FFmpeg hardware acceleration arguments."
)
input_args: Union[str, List[str]] = Field(
default=FFMPEG_INPUT_ARGS_DEFAULT, title="FFmpeg input arguments."
@ -1097,6 +1097,10 @@ class FrigateConfig(FrigateBaseModel):
elif config.objects.filters[attribute].min_score == 0.5:
config.objects.filters[attribute].min_score = 0.7
# auto detect hwaccel args
if config.ffmpeg.hwaccel_args == "auto":
config.ffmpeg.hwaccel_args = auto_detect_hwaccel()
# Global config to propagate down to camera level
global_config = config.dict(
include={

5
frigate/const.py
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@ -35,6 +35,11 @@ AUDIO_MAX_BIT_RANGE = 32768.0
AUDIO_SAMPLE_RATE = 16000
AUDIO_MIN_CONFIDENCE = 0.5
# Ffmpeg Presets
FFMPEG_HWACCEL_NVIDIA = "preset-nvidia"
FFMPEG_HWACCEL_VAAPI = "preset-vaapi"
# Regex Consts
REGEX_CAMERA_NAME = r"^[a-zA-Z0-9_-]+$"

45
frigate/ffmpeg_presets.py
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@ -5,6 +5,7 @@ import os
from enum import Enum
from typing import Any
from frigate.const import FFMPEG_HWACCEL_NVIDIA, FFMPEG_HWACCEL_VAAPI
from frigate.util.services import vainfo_hwaccel
from frigate.version import VERSION
@ -62,55 +63,72 @@ _user_agent_args = [
PRESETS_HW_ACCEL_DECODE = {
"preset-rpi-64-h264": "-c:v:1 h264_v4l2m2m",
"preset-rpi-64-h265": "-c:v:1 hevc_v4l2m2m",
"preset-vaapi": f"-hwaccel_flags allow_profile_mismatch -hwaccel vaapi -hwaccel_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format vaapi",
FFMPEG_HWACCEL_VAAPI: f"-hwaccel_flags allow_profile_mismatch -hwaccel vaapi -hwaccel_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format vaapi",
"preset-intel-qsv-h264": f"-hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv -c:v h264_qsv",
"preset-intel-qsv-h265": f"-load_plugin hevc_hw -hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv -c:v hevc_qsv",
"preset-nvidia-h264": "-hwaccel cuda -hwaccel_output_format cuda",
"preset-nvidia-h265": "-hwaccel cuda -hwaccel_output_format cuda",
"preset-nvidia-mjpeg": "-hwaccel cuda -hwaccel_output_format cuda",
FFMPEG_HWACCEL_NVIDIA: "-hwaccel cuda -hwaccel_output_format cuda",
"preset-jetson-h264": "-c:v h264_nvmpi -resize {1}x{2}",
"preset-jetson-h265": "-c:v hevc_nvmpi -resize {1}x{2}",
"preset-rk-h264": "-c:v h264_rkmpp_decoder",
"preset-rk-h265": "-c:v hevc_rkmpp_decoder",
}
PRESETS_HW_ACCEL_DECODE["preset-nvidia-h264"] = PRESETS_HW_ACCEL_DECODE[
FFMPEG_HWACCEL_NVIDIA
]
PRESETS_HW_ACCEL_DECODE["preset-nvidia-h265"] = PRESETS_HW_ACCEL_DECODE[
FFMPEG_HWACCEL_NVIDIA
]
PRESETS_HW_ACCEL_DECODE["preset-nvidia-mjpeg"] = PRESETS_HW_ACCEL_DECODE[
FFMPEG_HWACCEL_NVIDIA
]
PRESETS_HW_ACCEL_SCALE = {
"preset-rpi-64-h264": "-r {0} -vf fps={0},scale={1}:{2}",
"preset-rpi-64-h265": "-r {0} -vf fps={0},scale={1}:{2}",
"preset-vaapi": "-r {0} -vf fps={0},scale_vaapi=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
FFMPEG_HWACCEL_VAAPI: "-r {0} -vf fps={0},scale_vaapi=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
"preset-intel-qsv-h264": "-r {0} -vf vpp_qsv=framerate={0}:w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
"preset-intel-qsv-h265": "-r {0} -vf vpp_qsv=framerate={0}:w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
"preset-nvidia-h264": "-r {0} -vf fps={0},scale_cuda=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
"preset-nvidia-h265": "-r {0} -vf fps={0},scale_cuda=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
FFMPEG_HWACCEL_NVIDIA: "-r {0} -vf fps={0},scale_cuda=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
"preset-jetson-h264": "-r {0}", # scaled in decoder
"preset-jetson-h265": "-r {0}", # scaled in decoder
"preset-rk-h264": "-r {0} -vf fps={0},scale={1}:{2}",
"preset-rk-h265": "-r {0} -vf fps={0},scale={1}:{2}",
"default": "-r {0} -vf fps={0},scale={1}:{2}",
}
PRESETS_HW_ACCEL_SCALE["preset-nvidia-h264"] = PRESETS_HW_ACCEL_SCALE[
FFMPEG_HWACCEL_NVIDIA
]
PRESETS_HW_ACCEL_SCALE["preset-nvidia-h265"] = PRESETS_HW_ACCEL_SCALE[
FFMPEG_HWACCEL_NVIDIA
]
PRESETS_HW_ACCEL_ENCODE_BIRDSEYE = {
"preset-rpi-64-h264": "ffmpeg -hide_banner {0} -c:v h264_v4l2m2m {1}",
"preset-rpi-64-h265": "ffmpeg -hide_banner {0} -c:v hevc_v4l2m2m {1}",
"preset-vaapi": "ffmpeg -hide_banner -hwaccel vaapi -hwaccel_output_format vaapi -hwaccel_device {2} {0} -c:v h264_vaapi -g 50 -bf 0 -profile:v high -level:v 4.1 -sei:v 0 -an -vf format=vaapi|nv12,hwupload {1}",
FFMPEG_HWACCEL_VAAPI: "ffmpeg -hide_banner -hwaccel vaapi -hwaccel_output_format vaapi -hwaccel_device {2} {0} -c:v h264_vaapi -g 50 -bf 0 -profile:v high -level:v 4.1 -sei:v 0 -an -vf format=vaapi|nv12,hwupload {1}",
"preset-intel-qsv-h264": "ffmpeg -hide_banner {0} -c:v h264_qsv -g 50 -bf 0 -profile:v high -level:v 4.1 -async_depth:v 1 {1}",
"preset-intel-qsv-h265": "ffmpeg -hide_banner {0} -c:v h264_qsv -g 50 -bf 0 -profile:v high -level:v 4.1 -async_depth:v 1 {1}",
"preset-nvidia-h264": "ffmpeg -hide_banner {0} -c:v h264_nvenc -g 50 -profile:v high -level:v auto -preset:v p2 -tune:v ll {1}",
"preset-nvidia-h265": "ffmpeg -hide_banner {0} -c:v h264_nvenc -g 50 -profile:v high -level:v auto -preset:v p2 -tune:v ll {1}",
FFMPEG_HWACCEL_NVIDIA: "ffmpeg -hide_banner {0} -c:v h264_nvenc -g 50 -profile:v high -level:v auto -preset:v p2 -tune:v ll {1}",
"preset-jetson-h264": "ffmpeg -hide_banner {0} -c:v h264_nvmpi -profile high {1}",
"preset-jetson-h265": "ffmpeg -hide_banner {0} -c:v h264_nvmpi -profile high {1}",
"preset-rk-h264": "ffmpeg -hide_banner {0} -c:v h264_rkmpp_encoder -profile high {1}",
"preset-rk-h265": "ffmpeg -hide_banner {0} -c:v hevc_rkmpp_encoder -profile high {1}",
"default": "ffmpeg -hide_banner {0} -c:v libx264 -g 50 -profile:v high -level:v 4.1 -preset:v superfast -tune:v zerolatency {1}",
}
PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[
"preset-nvidia-h264"
] = PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[FFMPEG_HWACCEL_NVIDIA]
PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[
"preset-nvidia-h265"
] = PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[FFMPEG_HWACCEL_NVIDIA]
PRESETS_HW_ACCEL_ENCODE_TIMELAPSE = {
"preset-rpi-64-h264": "ffmpeg -hide_banner {0} -c:v h264_v4l2m2m -pix_fmt yuv420p {1}",
"preset-rpi-64-h265": "ffmpeg -hide_banner {0} -c:v hevc_v4l2m2m -pix_fmt yuv420p {1}",
"preset-vaapi": "ffmpeg -hide_banner -hwaccel vaapi -hwaccel_output_format vaapi -hwaccel_device {2} {0} -c:v h264_vaapi {1}",
FFMPEG_HWACCEL_VAAPI: "ffmpeg -hide_banner -hwaccel vaapi -hwaccel_output_format vaapi -hwaccel_device {2} {0} -c:v h264_vaapi {1}",
"preset-intel-qsv-h264": "ffmpeg -hide_banner {0} -c:v h264_qsv -profile:v high -level:v 4.1 -async_depth:v 1 {1}",
"preset-intel-qsv-h265": "ffmpeg -hide_banner {0} -c:v hevc_qsv -profile:v high -level:v 4.1 -async_depth:v 1 {1}",
"preset-nvidia-h264": "ffmpeg -hide_banner -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 8 {0} -c:v h264_nvenc {1}",
FFMPEG_HWACCEL_NVIDIA: "ffmpeg -hide_banner -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 8 {0} -c:v h264_nvenc {1}",
"preset-nvidia-h265": "ffmpeg -hide_banner -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 8 {0} -c:v hevc_nvenc {1}",
"preset-jetson-h264": "ffmpeg -hide_banner {0} -c:v h264_nvmpi -profile high {1}",
"preset-jetson-h265": "ffmpeg -hide_banner {0} -c:v hevc_nvmpi -profile high {1}",
@ -118,6 +136,9 @@ PRESETS_HW_ACCEL_ENCODE_TIMELAPSE = {
"preset-rk-h265": "ffmpeg -hide_banner {0} -c:v hevc_rkmpp_encoder -profile high {1}",
"default": "ffmpeg -hide_banner {0} -c:v libx264 -preset:v ultrafast -tune:v zerolatency {1}",
}
PRESETS_HW_ACCEL_ENCODE_TIMELAPSE[
"preset-nvidia-h264"
] = PRESETS_HW_ACCEL_ENCODE_TIMELAPSE[FFMPEG_HWACCEL_NVIDIA]
# encoding of previews is only done on CPU due to comparable encode times and better quality from libx264
PRESETS_HW_ACCEL_ENCODE_PREVIEW = {

34
frigate/util/services.py
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@ -13,7 +13,9 @@ from typing import Optional
import cv2
import psutil
import py3nvml.py3nvml as nvml
import requests
from frigate.const import FFMPEG_HWACCEL_NVIDIA, FFMPEG_HWACCEL_VAAPI
from frigate.util.builtin import clean_camera_user_pass, escape_special_characters
logger = logging.getLogger(__name__)
@ -371,6 +373,38 @@ def vainfo_hwaccel(device_name: Optional[str] = None) -> sp.CompletedProcess:
return sp.run(ffprobe_cmd, capture_output=True)
def auto_detect_hwaccel() -> str:
"""Detect hwaccel args by default."""
try:
cuda = False
vaapi = False
resp = requests.get("http://192.168.50.106:1984/api/ffmpeg/hardware", timeout=3)
if resp.status_code == 200:
data: dict[str, list[dict[str, str]]] = resp.json()
for source in data.get("sources", []):
if "cuda" in source.get("url", "") and source.get("name") == "OK":
cuda = True
if "vaapi" in source.get("url", "") and source.get("name") == "OK":
vaapi = True
except requests.RequestException:
pass
if cuda:
logger.info("Automatically detected nvidia hwaccel for video decoding")
return FFMPEG_HWACCEL_NVIDIA
if vaapi:
logger.info("Automatically detected vaapi hwaccel for video decoding")
return FFMPEG_HWACCEL_VAAPI
logger.warning(
"Did not detect hwaccel, using a GPU for accelerated video decoding is highly recommended"
)
return ""
async def get_video_properties(url, get_duration=False) -> dict[str, any]:
async def calculate_duration(video: Optional[any]) -> float:
duration = None