如何将目录中的帧转换为视频而不在Python中每帧添加第一帧

我对这个平台还是个新手.我会尽我所能说清楚的.我的目标是将目录中的帧转换为视频.出于某种原因，它在每15帧中包含第一帧.以下是我的代码:

import cv2
import glob
from pathlib import Path

def play_frames(frames_dir, fps, output_video_path):
    # Get the list of frames in the directory
    frames = sorted(glob.glob(str(frames_dir / '*.png')))

    # Read the first frame to get the width and height
    frame = cv2.imread(frames[0])
    height, width, _ = frame.shape

    # Create the video writer object
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
    video_writer = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))

    for frame_path in frames:
        # Read the frame
        frame = cv2.imread(frame_path)

        # Display the frame
        cv2.imshow('Frame', frame)
        cv2.waitKey(int(1000 / fps))

        # Write the frame to the video
        video_writer.write(frame)

    # Release the video writer
    video_writer.release()
    cv2.destroyAllWindows()

# Directory path
frames_dir = Path('./detected_objects')
fps = 15
output_video_path = 'vid2output.mp4'

# Play the frames and save as video
play_frames(frames_dir, fps, output_video_path)

我在这里try 了无数的代码，但所有的代码(我try 过的)都在每帧每秒添加第一帧.我做错了什么？有没有其他方法可以将图像转换为视频，而不需要在每个fps中添加第一帧？(我已经判断了目录中的帧，它们都是正确的顺序.)

感谢大家的帮助，并乐于提供更多的信息！

最新情况: 我在代码中添加了分辨率大小，但第一帧每秒都显示.

import cv2
import glob
import numpy as np
from pathlib import Path

def play_frames(frames_dir, fps, output_video_path):
    # Get the list of frames in the directory
    frames = sorted(glob.glob(str(frames_dir / '*.png')))

    # Read the first frame to get the width and height
    frame = cv2.imread(frames[0])
    height, width, _ = frame.shape

    # Calculate the maximum width and height among all frames
    max_width = width
    max_height = height

    for frame_path in frames[1:]:
        # Read each frame to get its dimensions
        frame = cv2.imread(frame_path)
        height, width, _ = frame.shape

        # Update the maximum width and height if necessary
        max_width = max(max_width, width)
        max_height = max(max_height, height)

    # Create the video writer object
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
    video_writer = cv2.VideoWriter(output_video_path, fourcc, fps, (max_width, max_height))

    # Resize and pad each frame before writing to the video
    for frame_path in frames:
        frame = cv2.imread(frame_path)

        # Resize the frame to the maximum dimensions
        resized_frame = cv2.resize(frame, (max_width, max_height))

        # Write the resized frame to the video
        video_writer.write(resized_frame)

    # Release the video writer
    video_writer.release()

# Directory path
frames_dir = Path('./detected_objects')
fps = 15
output_video_path = 'vid1output.mp4'

# Play the frames and save as video
play_frames(frames_dir, fps, output_video_path)