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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

  


• Revision 4821084b3f : Moving hev mask calculation into filter4() function. Change-Id : Ieccf2070b2b01b

  18 décembre 2013, par Dmitry Kovalev

  Changed Paths :
   Modify /vp9/common/vp9_loopfilter_filters.c

  
  
  Moving hev mask calculation into filter4() function.

  Change-Id : Ieccf2070b2b01b4135f4c5f9857667eb7825c761

• Revision 26bdf26ddc : Consistent names for intra mask flags. Change-Id : Ibdd5255d37200fb8a1d50f71a2a4

  29 mai 2014, par Dmitry Kovalev

  Changed Paths :
   Modify /vp9/encoder/vp9_speed_features.c

  
  
  Consistent names for intra mask flags.

  Change-Id : Ibdd5255d37200fb8a1d50f71a2a49c6089ae21e7