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• Editing Video in Channel Changes Aspect Ratio to Square

  11 octobre 2024, par Shayki Abramczyk

  I'm working on a Telegram bot that processes videos by adding a watermark and then edits the original message to replace the video in a channel post. The issue I'm encountering is that when I edit the message with the new video, the aspect ratio changes, and the video becomes a square, even though the original video is in vertical format.

  


  Here’s a simplified version of the code I’m using to edit the message with the processed video :

  


  video_file = await video.get_file()
print(video_file)
random = randint(0,9999)
input_path = f"input_{user_id}_{random}.mp4"
output_path = f"output_{user_id}_{random}.mp4"
await video_file.download_to_drive(input_path)

loop = asyncio.get_event_loop()
executor = ThreadPoolExecutor()
await loop.run_in_executor(executor, process_video_sync, input_path, output_path, watermark_path, settings)

try:
    if return_file:
        return open(output_path, 'rb')
    if channel:
        chat_id = post.chat_id
        message_id = post.message_id
        caption = post.caption if post.caption else ""
        if settings['has_signature']:
            signature = settings['signature']
        else:
            caption = post.caption_html if post.caption_html else (post.caption or "")
        video_clip = VideoFileClip(output_path)
        await context.bot.edit_message_media(
            chat_id=chat_id,
            message_id=message_id,
            media=InputMediaVideo(media=open(output_path, 'rb'), width=video_clip.w, height=video_clip.h, caption=caption, parse_mode="HTML")
        )
    elif update.message:
        caption = update.message.caption if update.message.caption else ""
        video_clip = VideoFileClip(output_path)
        
        with open(output_path, 'rb') as video_file:
            await update.message.reply_video(
                video=InputFile(video_file),
                caption=caption,
                width=video_clip.w,
                height=video_clip.h,
                supports_streaming=True
            )
except Exception as e:
    logger.error("Error in sending video. Exception Type:", e.args[0][0], "Message:", e.args[0][1])
finally:
    os.remove(input_path)
    os.remove(output_path)


  


  When editing the message in a channel, the video’s aspect ratio changes from vertical to square (if the video is horizonal it's ok). However, if I send the video as a new message, the aspect ratio remains correct.

  


  How can I ensure that when I edit the video in the channel, the aspect ratio stays the same as the original, and doesn’t get cropped or turned into a square ?

  


• Telegram Bot - Editing Video in Channel Changes Aspect Ratio to Square

  11 octobre 2024, par Shayki Abramczyk

  I'm working on a Telegram bot that processes videos by adding a watermark and then edits the original message to replace the video in a channel post. The issue I'm encountering is that when I edit the message with the new video, the aspect ratio changes, and the video becomes a square, even though the original video is in vertical format.

  


  Here’s a simplified version of the code I’m using to edit the message with the processed video :

  


  video_file = await video.get_file()
print(video_file)
random = randint(0,9999)
input_path = f"input_{user_id}_{random}.mp4"
output_path = f"output_{user_id}_{random}.mp4"
await video_file.download_to_drive(input_path)

loop = asyncio.get_event_loop()
executor = ThreadPoolExecutor()
await loop.run_in_executor(executor, process_video_sync, input_path, output_path, watermark_path, settings)

try:
    if return_file:
        return open(output_path, 'rb')
    if channel:
        chat_id = post.chat_id
        message_id = post.message_id
        caption = post.caption if post.caption else ""
        if settings['has_signature']:
            signature = settings['signature']
        else:
            caption = post.caption_html if post.caption_html else (post.caption or "")
        video_clip = VideoFileClip(output_path)
        await context.bot.edit_message_media(
            chat_id=chat_id,
            message_id=message_id,
            media=InputMediaVideo(media=open(output_path, 'rb'), width=video_clip.w, height=video_clip.h, caption=caption, parse_mode="HTML")
        )
    elif update.message:
        caption = update.message.caption if update.message.caption else ""
        video_clip = VideoFileClip(output_path)
        
        with open(output_path, 'rb') as video_file:
            await update.message.reply_video(
                video=InputFile(video_file),
                caption=caption,
                width=video_clip.w,
                height=video_clip.h,
                supports_streaming=True
            )
except Exception as e:
    logger.error("Error in sending video. Exception Type:", e.args[0][0], "Message:", e.args[0][1])
finally:
    os.remove(input_path)
    os.remove(output_path)


  


  When editing the message in a channel, the video’s aspect ratio changes from vertical to square (if the video is horizonal it's ok). However, if I send the video as a new message, the aspect ratio remains correct.

  


  How can I ensure that when I edit the video in the channel, the aspect ratio stays the same as the original, and doesn’t get cropped or turned into a square ?

  


• 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