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• How to Convert 16:9 Video to 9:16 Ratio While Ensuring Speaker Presence in Frame ?

  28 avril 2024, par shreesha

  I am tried so many time to figure out the problem in detecting the face and also it's not so smooth enough to like other tools out there.

  


  So basically I am using python and Yolo in this project but I want the person who is talking and who the ROI (region of interest) is.

  


  Here is the code :

  


  from ultralytics import YOLO
from ultralytics.engine.results import Results
from moviepy.editor import VideoFileClip, concatenate_videoclips
from moviepy.video.fx.crop import crop

# Load the YOLOv8 model
model = YOLO("yolov8n.pt")

# Load the input video
clip = VideoFileClip("short_test.mp4")

tacked_clips = []

for frame_no, frame in enumerate(clip.iter_frames()):
    # Process the frame
    results: list[Results] = model(frame)

    # Get the bounding box of the main object
    if results[0].boxes:
        objects = results[0].boxes
        main_obj = max(
            objects, key=lambda x: x.conf
        )  # Assuming the first detected object is the main one

        x1, y1, x2, y2 = [int(val) for val in main_obj.xyxy[0].tolist()]

        # Calculate the crop region based on the object's position and the target aspect ratio
        w, h = clip.size
        new_w = int(h * 9 / 16)
        new_h = h

        x_center = x2 - x1
        y_center = y2 - y1

        # Adjust x_center and y_center if they would cause the crop region to exceed the bounds
        if x_center + (new_w / 2) > w:
            x_center -= x_center + (new_w / 2) - w
        elif x_center - (new_w / 2) < 0:
            x_center += abs(x_center - (new_w / 2))

        if y_center + (new_h / 2) > h:
            y_center -= y_center + (new_h / 2) - h
        elif y_center - (new_h / 2) < 0:
            y_center += abs(y_center - (new_h / 2))

        # Create a subclip for the current frame
        start_time = frame_no / clip.fps
        end_time = (frame_no + 1) / clip.fps
        subclip = clip.subclip(start_time, end_time)

        # Apply cropping using MoviePy
        cropped_clip = crop(
            subclip, x_center=x_center, y_center=y_center, width=new_w, height=new_h
        )

        tacked_clips.append(cropped_clip)

reframed_clip = concatenate_videoclips(tacked_clips, method="compose")
reframed_clip.write_videofile("output_video.mp4")


  


  So basically I want to fix the face detection with ROI detection where it can detect the face and make that face and the body on to the frame and making sure that the speaker who is speaking is brought to the frame

  


• Batch .SRT Rip Using FFMPEG

  12 mai 2020, par jaac

  I have this command using ffmpeg

  



  root@ubuntu-4cpu-8gb-sg-sin1:/home/jaac/torrents/rtorrent/dots# ffmpeg -i Title.NF.WEB-DL.DDP2.0.x264-Ao.mkv -map 0:7 indo16.srt


  



  That will rip 1 sub (Indonesia region)

  



  How to rip it in batch ? I have 17 files in dots folder

  



  Thanks

  


• Merge commit ’51ca3cb604a7585a7cff35d4b954794508955c19’

  15 février 2015, par Michael Niedermayer

  Merge commit ’51ca3cb604a7585a7cff35d4b954794508955c19’
  * commit ’51ca3cb604a7585a7cff35d4b954794508955c19’ :
  
    xcbgrab : Use the correct geometry for the region highlight
  See : 0ae37e460c345a4c76e28256af56931e00c94cb5
  
  Merged-by : Michael Niedermayer <michaelni@gmx.at>