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• avcodec/vp8 : Move VPx specific functions inside #if CONFIG_VPx block

  6 mars, par Andreas Rheinhardt

  avcodec/vp8 : Move VPx specific functions inside #if CONFIG_VPx block
  where appropriate. Avoids including ff_vp8_decode_frame()
  
  when the VP8 decoder is disabled.
  Reviewed-by : Peter Ross <pross@xvid.org>
  
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
  

  • [DH] libavcodec/vp8.c

• Unable to retrieve video stream from RTSP URL inside Docker container

  6 février, par birdalugur

  I have a FastAPI application running inside a Docker container that is trying to stream video from an RTSP camera URL using OpenCV. The setup works fine locally, but when running inside Docker, the /video endpoint does not return a stream and times out. Below are the details of the issue.

  


  Docker Setup :

  


  Dockerfile :

  


  FROM python:3.10.12

RUN apt-get update && apt-get install -y \
    libgl1-mesa-glx \
    libglib2.0-0

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD ["python", "app.py"]



  


  

  • Docker Compose :

  


  


  services:
  api:
    build: ./api
    ports:
      - "8000:8000"
    depends_on:
      - redis
      - mongo
    networks:
      - app_network
    volumes:
      - ./api:/app
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - MONGO_URI=mongodb://mongo:27017/app_db

  frontend:
    build: ./frontend
    ports:
      - "3000:3000"
    depends_on:
      - api
    networks:
      - app_network
    volumes:
      - ./frontend:/app
      - /app/node_modules

redis:
    image: "redis:alpine"
    restart: always
    networks:
      - app_network
    volumes:
      - redis_data:/data

  mongo:
    image: "mongo:latest"
    restart: always
    networks:
      - app_network
    volumes:
      - mongo_data:/data/db

networks:
  app_network:
    driver: bridge

volumes:
  redis_data:
  mongo_data:



  


  Issue :

  


  When I try to access the /video endpoint, the following warnings appear :

  


  [ WARN:0@46.518] global cap_ffmpeg_impl.hpp:453 _opencv_ffmpeg_interrupt_callback Stream timeout triggered after 30037.268665 ms


  


  However, locally, the RTSP stream works fine using OpenCV with the same code.

  


  Additional Information :

  


  

  1. Network : The Docker container can successfully ping the camera IP (10.100.10.94).

  


  2. Local Video : I can read frames from a local video file without issues.

  


  3. RTSP Stream : I am able to access the RTSP stream directly using OpenCV locally, but not inside the Docker container.

  


  


  Code :

  


  Here's the relevant part of the code in my api/app.py :

  


  import cv2
from fastapi import FastAPI
from fastapi.responses import StreamingResponse

RTSP_URL = "rtsp://deneme:155115@10.100.10.94:554/axis-media/media.amp?adjustablelivestream=1&fps=10"

def generate_frames():
    cap = cv2.VideoCapture(RTSP_URL)
    if not cap.isOpened():
        print("Failed to connect to RTSP stream.")
        return

    while True:
        success, frame = cap.read()
        if not success:
            print("Failed to capture frame.")
            break

        _, buffer = cv2.imencode(".jpg", frame)
        frame_bytes = buffer.tobytes()

        yield (
            b"--frame\r\n" b"Content-Type: image/jpeg\r\n\r\n" + frame_bytes + b"\r\n"
        )

    cap.release()

@app.get("/video")
async def video_feed():
    """Return MJPEG stream to the browser."""
    return StreamingResponse(
        generate_frames(), media_type="multipart/x-mixed-replace; boundary=frame"
    )


  


  Has anyone faced similar issues or have suggestions on how to resolve this ?

  


  ---

  


• How to put a video inside a frame and record whole thing as a video ?

  7 octobre 2024, par crysis

  I have a video. I want to create a new video such that the video plays inside a frame similar to this screenshot. Loom recording does this. Most of the screen recorders do this.

  


  

  


  This screenshot is of the video. This is done in most of the screen recorders. Here is what I'm thinking

  


  

  • render video on a canvas with the background.

  


  • Play the video

  


  • Use mediarecorder API to record a new video.

  


  


  I don't have good understanding of frontend development. Is that how it is generally done or I need to use ffmpeg ? I would really appreciate any guidance here.