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  • How to crop video with same aspect ratio such as DAR ? [closed]

    21 juin, par showkey

    Some arguments in sample.mp4:

    ffprobe -i  sample.mp4  2>&1 | grep DAR
Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709, progressive), 1280x720 [SAR 1:1 DAR 16:9], 310 kb/s, 30 fps, 30 tbr, 15360 tbn (default)

    In the sample.mp4,width is 1280,height is 720,SAR=1:1=1,so we get the DAR value:

    DAR = (width/height)*SAR = (1280/720) * 1 = (16*80)/(9*80) = 16:9

    I want to crop sample.mp4 into width:496 and height:279, 496/279 = (31*16)/(31*9) = 16:9.

    ffmpeg -i sample.mp4 -vf "crop=496:279:0:0" output.mp4

    Show DAR value in output.mp4:

    ffprobe -i  output.mp4 2>&1 | grep DAR
Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709, progressive), 496x278 [SAR 1:1 DAR 248:139], 81 kb/s, 30 fps, 30 tbr, 15360 tbn (default)

    How can crop the video sample.mp4 into new video with width:496 and height:279 and DAR 16:9?

  • Facebook Reels Upload always failing

    21 juin, par Evrard A.

    I'm trying to upload Reels through Facebook Graph API. The video is created with the following ffmpeg command.

    cmd = [
            'ffmpeg',
            '-i', video_path,
            '-i', voice_path,
            '-i', music_path,

            '-filter_complex',
            '[1:a]loudnorm=I=-16:LRA=11:TP=-1.5,adelay=0|0[a1];' +
            '[2:a]volume=0.2,afade=t=in:ss=0:d=0.02,afade=t=out:st=28:d=0.03[a2];' +
            '[a1][a2]amix=inputs=2:duration=first:dropout_transition=0[aout]',

            '-map', '0:v:0',
            '-map', '[aout]',

            '-vf',
             f"subtitles='{str(ass_path)}',format=yuv420p,scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2,setsar=1",  # Incrustation des sous-titres

            '-r', '30',
            '-g', '60',
            '-keyint_min', '60',
            '-sc_threshold', '0',
            '-x264opts', 'no-scenecut',

            '-c:v', 'libx264',
            '-profile:v', 'baseline',
            '-level', '4.1',
            '-pix_fmt', 'yuv420p',
            '-color_range', 'tv',
            '-colorspace', 'bt709',

            '-b:v', '9500k',
            '-maxrate', '9500k',
            '-bufsize', '19000k',

            '-c:a', 'aac',
            '-b:a', '192k',
            '-ac', '2',
            '-ar', '48000',

            '-movflags', '+faststart',
            '-video_track_timescale', '15360',
            '-max_muxing_queue_size', '9999',

            '-y', self.output_video_path if self.output_video_path else f'{parts[0]}.subtitled.{parts[1]}'
        ]

        subprocess.run(cmd, check=True)

    Here is the class method I use to publish:

      import requests, os,  time
  from datetime import datetime, timedelta
  from moviepy.editor import VideoFileClip
   
  def post_reel(
      self,
      page_id: str,
      page_access_token: str,
      video_file_path: str,
      video_description: str,
      tags: list = None, # type: ignore
      publish_now: bool = True
  ):
      def extract_first_frame(video_path: str, output_image_path: str, time_in_seconds: float = 1):
          """
          Extrait une frame à time_in_seconds et la sauvegarde comme miniature.
          """
          try:
              clip = VideoFileClip(video_path)
              clip.save_frame(output_image_path, t=time_in_seconds)
              print(f"[THUMBNAIL] Frame at {time_in_seconds}s saved to {output_image_path}")
              return output_image_path
          except Exception as e:
              print(f"[ERROR] Could not extract thumbnail: {str(e)}")
              return None

      def wait_for_video_ready(video_id, page_access_token, timeout=300, poll_interval=10):
          """
          Attends que la vidéo soit complètement traitée et publiée.
          """
          status_url = f"{self.BASE_API_URL}/{video_id}"
          params = {
              "access_token": page_access_token,
              "fields": "status"
          }

          start = time.time()
          while time.time() - start < timeout:
              try:
                  r = requests.get(url=status_url, params=params)
                  r.raise_for_status()
                  status = r.json().get("status", {})
                  processing = status.get("processing_phase", {}).get("status")
                  publishing = status.get("publishing_phase", {}).get("status")
                  video_status = status.get("video_status")

                  print(f"[WAIT] video_status={video_status}, processing={processing}, publishing={publishing}")

                  if processing == "complete" and publishing == "complete":
                      print("[READY] Reel processed and published")
                      return True
                  elif processing == "error":
                     print(r.json())

              except Exception as e:
                  print(f"[ERROR] during polling: {e}")

              time.sleep(poll_interval)

          print("[TIMEOUT] Video did not finish processing in time.")
          return False

      try:
          # Step 1: Initialize upload
          init_url = f"{self.BASE_API_URL}/{page_id}/video_reels"
          init_params = {"upload_phase": "start"}
          init_payload = {'access_token': page_access_token}

          r = requests.post(url=init_url, data=init_payload, params=init_params)
          r.raise_for_status()
          response = r.json()
          video_id = response["video_id"]
          upload_url = response["upload_url"]
          print(f"[INIT OK] Video ID: {video_id}")

          # Step 2: Upload video
          file_size = os.path.getsize(video_file_path)
          headers = {
              'Authorization': f"OAuth {page_access_token}",
              'offset': "0",
              'file_size': str(file_size),
          }

          with open(video_file_path, 'rb') as f:
              files = {'source': f}
              r = requests.post(url=upload_url, data=files, headers=headers)
              r.raise_for_status()
              upload_response = r.json()

          if not upload_response.get("success"):
              print("[ERROR] Upload failed.")
              return None
          print(f"[UPLOAD OK]")

          # Step 3: Check video status
          status_check_url = f'{self.BASE_API_URL}/{video_id}'
          check_params = {
              "access_token": page_access_token,
              "fields": "status"
          }
          r = requests.get(url=status_check_url, params=check_params)
          r.raise_for_status()
          print(f"[STATUS CHECK] {r.json()}")

          # Step 4: Finalize video
          finalize_params = {
              "video_id": video_id,
              "upload_phase": "finish",
              "published": "true",
              "access_token": page_access_token,
              "video_state": "PUBLISHED" if publish_now else "SCHEDULED",
              "title": video_description,
              "description": video_description
          }

          if not publish_now:
              finalize_params["scheduled_publish_time"] = int((datetime.now() + timedelta(days=1)).timestamp())

          if tags:
              finalize_params["tags"] = ",".join(tags)

          r = requests.post(url=init_url, params=finalize_params, headers=headers)
          r.raise_for_status()
          finalize_response = r.json()
          post_id = finalize_response.get("post_id")
          print(f"[FINALIZE OK] Post ID: {post_id}")
          
          # WAIT UNTIL PUBLISHED
          if not wait_for_video_ready(video_id, page_access_token):
              print("[ERROR] Reel processing timeout or failure")
              return None
          
          # Step 5: Extract and upload thumbnail
          thumbnail_path = f"temp_thumb_{video_id}.jpg"
          if extract_first_frame(video_file_path, thumbnail_path):
              thumb_url = f"{self.BASE_API_URL}/{video_id}/thumbnails"
              with open(thumbnail_path, 'rb') as img:
                  files = {'source': img}
                  thumb_payload = {'access_token': page_access_token}
                  r = requests.post(url=thumb_url, files=files, data=thumb_payload)
                  r.raise_for_status()
                  print("[THUMBNAIL UPLOADED]")
              # Clean up temp file
              os.remove(thumbnail_path)
              print("[THUMBNAIL CLEANED UP]")

          return post_id

      except Exception as e:
          print(f"[ERROR] {str(e)}")
          return None

    Here are the logs I get :

    • [INIT OK] Video ID: 1020853163558419
    • [UPLOAD OK]
    • [STATUS CHECK]
    {
  "status": {
    "video_status": "upload_complete",
    "uploading_phase": {
      "status": "complete",
      "bytes_transferred": 37780189
    },
    "processing_phase": {
      "status": "not_started"
    },
    "publishing_phase": {
      "status": "not_started"
    },
    "copyright_check_status": {
      "status": "in_progress"
    }
  },
  "id": "1020853163558419"
}
    • [FINALIZE OK] Post ID: 122162302376476425
    • [WAIT] video_status=upload_complete, processing=not_started, publishing=not_started
    • [WAIT] video_status=error, processing=error, publishing=not_started
    {
  "status": {
    "video_status": "error",
    "uploading_phase": {
      "status": "complete",
      "bytes_transferred": 37780189
    },
    "processing_phase": {
      "status": "error",
      "errors": [
        {
          "code": 1363008,
          "message": "Video Creation failed, please try again."
        }
      ]
    },
    "publishing_phase": {
      "status": "not_started"
    },
    "copyright_check_status": {
      "status": "in_progress"
    }
  },
  "id": "1020853163558419"
}

    It seems the error code 1363008 is related to the video properties format but even after following Facebook Reels video format recommandations, I can't make it work.

    Can you help me with this please ?

    I failed getting usefull help with ChatGPT 😅, and thanks in advance for anyone who answers or comments my question.

  • How to convert cmd pipe to powershell in context of binary data (ffmpeg and streamlink)

    20 juin, par Filip Krawczyk

    I'd like to convert a pipe of video stream between streamlink and ffmpeg from cmd to Powershell. But from what I searched powershell only supports piping objects.

    Is there any way to reproduce this in Powershell without using Start-Process -FilePath "cmd" -ArgumentList [...]? I'd prefer not to use it because I need access to the exit code.

    streamlink $stream_url best -O | ffmpeg -i pipe: "output_file.mp4"

    note: the line above had some args removed for better clarity

  • "Could not find com.arthenica:ffmpeg-kit-https:6.0-2" after ffmpeg_kit_flutter deprecation

    20 juin, par Tarun Hasija

    I am at latest flutter 3.32.4

    FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':ffmpeg_kit_flutter:compileDebugJavaWithJavac'.
> Could not resolve all files for configuration ':ffmpeg_kit_flutter:debugCompileClasspath'.
   > Could not find com.arthenica:ffmpeg-kit-https:6.0-2.
     Required by:
         project :ffmpeg_kit_flutter

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
> Get more help at https://help.gradle.org.

BUILD FAILED in 25s
Error: Gradle task assembleStagingDebug failed with exit code 1

  • How to join two images into one with FFmpeg ? [duplicate]

    20 juin, par n2v2rda2

    There are two images: a.jpg and b.jpg.

    I just want to know how to join them into one image using ffmpeg.

    How should I finish the ffmpeg -i a.jpg -i b.jpg command to get a c.jpg output image?

    This is an example of what I am trying to achieve:

    1. a.jpg

      a.jpg

    2. b.jpg

      b.jpg

    3. c.jpg

      a.jpg and b.jpg side-by-side on one image

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