frigate: [HW Accel Support]: Nvidia Decoder Error

Describe the problem you are having

I’m heading towards trying to get a GPU detector set up, but was running into errors that I thought were related to not decoding the video on that device. In trying to just get hardware acceleration set up, I’m running into the errors shown. Not sure what to do about them. If I remove the hwaccel_args, I get output from the camera in the WebUI. Enabling the option gives the “No frames received, check error logs” message.

Version

0.13.1

Frigate config file

mqtt:
  host: homeassistant.*****.ts.net
  port: 1883
  user: *******
  password: *******
  topic_prefix: frigate

objects:
  track:
    - person
    - bicycle
    - cat
    - dog
    - horse
    - sheep
    - cow
    - elephant
    - bear
    - zebra
    - giraffe

  filters:
    person:
      min_area: 5000
      max_area: 100000

cameras:
  front-yard-cam: # <------ Name the camera
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://bauman-hpenvy.*******.ts.net:8556/front-yard-cam # <----- The stream you want to use for detection
          roles:
            - detect
            - record
    detect:
      width: 1920 # <---- update for your camera's resolution
      height: 1080 # <---- update for your camera's resolution
    record:
      enabled: True
    snapshots:
      enabled: True

logger:
  default: info
  logs:
    frigate.mqtt: debug

docker-compose file or Docker CLI command

version: "3.9"
services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: ghcr.io/blakeblackshear/frigate:stable-tensorrt
    shm_size: "64mb" # update for your cameras based on calculation above
    deploy:    # <------------- Add this section
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    devices:
      - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
      - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
      - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
    volumes:
      - \\wsl$$\Ubuntu\etc\localtime:/etc/localtime:ro
      - \\wsl$$\Ubuntu\home\ringofowl\frigate\config:/config/
      - \\wsl$$\Ubuntu\home\ringofowl\frigate\clips:/media/frigate
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - "5000:5000"
      - "8554:8554" # RTSP feeds
      - "8555:8555/tcp" # WebRTC over tcp
      - "8555:8555/udp" # WebRTC over udp
    environment:
      - YOLO_MODELS=yolov7-320
      #- USE_FP16=false
      #- FRIGATE_RTSP_PASSWORD: "password"

Relevant log output

2024-02-11 15:52:08 2024-02-11 15:52:08.119554858  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x7f8148008980] moov atom not found
2024-02-11 15:52:08 2024-02-11 15:52:08.121116775  [ERROR:0@6.599] global cap.cpp:164 open VIDEOIO(CV_IMAGES): raised OpenCV exception:
2024-02-11 15:52:08 2024-02-11 15:52:08.121121075  
2024-02-11 15:52:08 2024-02-11 15:52:08.121123775  OpenCV(4.7.0) /io/opencv/modules/videoio/src/cap_images.cpp:267: error: (-215:Assertion failed) number < max_number in function 'icvExtractPattern'
2024-02-11 15:52:08 2024-02-11 15:52:08.121125575  
2024-02-11 15:52:08 2024-02-11 15:52:08.121127275  
2024-02-11 15:52:08 2024-02-11 15:52:08.172306714  [2024-02-11 15:52:08] frigate.record.maintainer      WARNING : Failed to probe corrupt segment /tmp/cache/front-yard-cam@20240211155205-0500.mp4
2024-02-11 15:52:08 2024-02-11 15:52:08.173661928  [2024-02-11 15:52:08] frigate.record.maintainer      WARNING : Discarding a corrupt recording segment: /tmp/cache/front-yard-cam@20240211155205-0500.mp4
2024-02-11 15:52:08 2024-02-11 15:52:08.262061159  [INFO] Starting go2rtc healthcheck service...
2024-02-11 15:52:23 2024-02-11 15:52:23.536020982  [2024-02-11 15:52:23] watchdog.front-yard-cam        ERROR   : Ffmpeg process crashed unexpectedly for front-yard-cam.
2024-02-11 15:52:23 2024-02-11 15:52:23.536026382  [2024-02-11 15:52:23] watchdog.front-yard-cam        ERROR   : The following ffmpeg logs include the last 100 lines prior to exit.
2024-02-11 15:52:23 2024-02-11 15:52:23.536029182  [2024-02-11 15:52:23] ffmpeg.front-yard-cam.detect   ERROR   : [h264 @ 0x560e7dc9ea40] Hardware is lacking required capabilities
2024-02-11 15:52:23 2024-02-11 15:52:23.536112483  [2024-02-11 15:52:23] ffmpeg.front-yard-cam.detect   ERROR   : [h264 @ 0x560e7dc9ea40] Failed setup for format cuda: hwaccel initialisation returned error.
2024-02-11 15:52:23 2024-02-11 15:52:23.536130983  [2024-02-11 15:52:23] ffmpeg.front-yard-cam.detect   ERROR   : Impossible to convert between the formats supported by the filter 'Parsed_fps_0' and the filter 'auto_scale_0'
2024-02-11 15:52:23 2024-02-11 15:52:23.536133583  [2024-02-11 15:52:23] ffmpeg.front-yard-cam.detect   ERROR   : Error reinitializing filters!
2024-02-11 15:52:23 2024-02-11 15:52:23.536158383  [2024-02-11 15:52:23] ffmpeg.front-yard-cam.detect   ERROR   : Failed to inject frame into filter network: Function not implemented
2024-02-11 15:52:23 2024-02-11 15:52:23.536162883  [2024-02-11 15:52:23] ffmpeg.front-yard-cam.detect   ERROR   : Error while processing the decoded data for stream #0:0
2024-02-11 15:52:25 2024-02-11 15:52:25.217223303  [2024-02-11 15:52:25] frigate.video                  ERROR   : front-yard-cam: Unable to read frames from ffmpeg process.

FFprobe output from your camera

# ffprobe rtsp://bauman-hpenvy.********.ts.net:8556/front-yard-cam
ffprobe version n5.1-2-g915ef932a3-20220731 Copyright (c) 2007-2022 the FFmpeg developers
  built with gcc 12.1.0 (crosstool-NG 1.25.0.55_3defb7b)
  configuration: --prefix=/ffbuild/prefix --pkg-config-flags=--static --pkg-config=pkg-config --cross-prefix=x86_64-ffbuild-linux-gnu- --arch=x86_64 --target-os=linux --enable-gpl --enable-version3 --disable-debug --enable-iconv --enable-libxml2 --enable-zlib --enable-libfreetype --enable-libfribidi --enable-gmp --enable-lzma --enable-fontconfig --enable-libvorbis --enable-opencl --enable-libpulse --enable-libvmaf --enable-libxcb --enable-xlib --enable-amf --enable-libaom --enable-libaribb24 --enable-avisynth --enable-libdav1d --enable-libdavs2 --disable-libfdk-aac --enable-ffnvcodec --enable-cuda-llvm --enable-frei0r --enable-libgme --enable-libass --enable-libbluray --enable-libjxl --enable-libmp3lame --enable-libopus --enable-mbedtls --enable-librist --enable-libtheora --enable-libvpx --enable-libwebp --enable-lv2 --enable-libmfx --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopenmpt --enable-librav1e --enable-librubberband --disable-schannel --enable-sdl2 --enable-libsoxr --enable-libsrt --enable-libsvtav1 --enable-libtwolame --enable-libuavs3d --enable-libdrm --enable-vaapi --enable-libvidstab --enable-vulkan --enable-libshaderc --enable-libplacebo --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxvid --enable-libzimg --enable-libzvbi --extra-cflags=-DLIBTWOLAME_STATIC --extra-cxxflags= --extra-ldflags=-pthread --extra-ldexeflags=-pie --extra-libs='-ldl -lgomp' --extra-version=20220731
  libavutil      57. 28.100 / 57. 28.100
  libavcodec     59. 37.100 / 59. 37.100
  libavformat    59. 27.100 / 59. 27.100
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100
  libpostproc    56.  6.100 / 56.  6.100
[rtsp @ 0x55a802b22140] method SETUP failed: 461 Unsupported Transport
Input #0, rtsp, from 'rtsp://bauman-hpenvy.*******.ts.net:8556/front-yard-cam':
  Metadata:
    title           : No Name
  Duration: N/A, start: -0.521711, bitrate: N/A
  Stream #0:0: Video: h264 (Main), yuv420p(tv, bt709, progressive), 1920x1080, 20 fps, 20 tbr, 90k tbn
#

Operating system

Windows

Install method

Docker Compose

Network connection

Wired

Camera make and model

Wyze Cam Pan v3

Any other information that may be helpful