高端品牌网站网站推广途径方法

1.更改视频帧数

降低视频帧数，简单的操作只能降低视频帧数，如果要增加视频帧数，那就要使用深度学习进行插帧处理：

import cv2
from moviepy.editor import *
def change_fps(inpt_path,output_path,fps):# 加载视频video = VideoFileClip(inpt_path)# 将帧率降低为15帧/秒new_video = video.set_fps(fps)# 保存为新的文件new_video.write_videofile(output_path, codec="libx264")def change_fps_dir(video_dir,fps):file_list = os.listdir(video_dir)for file in file_list:# 使用os.path.basename()获取文件名（包括后缀）file_name = os.path.basename(file)out_name = "F" + file_nameinput = os.path.join(video_dir,file_name)output = os.path.join(video_dir,out_name)change_fps(input,output,fps)

2.把视频拆分成帧保存

def split_video(video_path,save_path):# 创建输出目录os.makedirs(save_path, exist_ok=True)# 打开视频文件cap = cv2.VideoCapture(video_path)frame_count = 0# 读取视频帧并保存为图像while True:ret, frame = cap.read()if not ret:break# 生成输出图像文件名frame_filename = os.path.join(save_path, f'{frame_count:05d}.jpg')frame_count += 1# 保存帧图像cv2.imwrite(frame_filename, frame)# 释放视频文件cap.release()print(f"总共保存了 {frame_count} 帧图像")

3.把拆分图像合成视频

def img_video_merge(img_dir,video_path,frame_rate):file_list = os.listdir(img_dir)cv_src = cv2.imread(os.path.join(img_dir,file_list[0]))fourcc = cv2.VideoWriter_fourcc(*'mp4v')  # 使用H.264编解码器height, width, channels = cv_src.shape# 帧速率和帧大小frame_size = (width, height)# 创建VideoWriter对象out = cv2.VideoWriter(video_path, fourcc, frame_rate, frame_size)for file in file_list:cv_dst = cv2.imread(os.path.join(img_dir, file))out.write(cv_dst)

4.提取视频的音轨

def video_to_audio(video_path,audio_path):video = VideoFileClip(video_path)audio = video.audioaudio_temp = "temp.wav"if os.path.exists(audio_path):os.remove(audio_temp)audio.write_audiofile(audio_temp)audio.close()if os.path.exists(audio_path):os.remove(audio_path)cmd = "ffmpeg -i " + audio_temp + " -ac 1 -ar 16000 " + audio_pathsubprocess.run(cmd,shell=True)

5.视频与音轨合并

from moviepy.editor import VideoFileClip, AudioFileClip# 读取视频和音轨
video_clip = VideoFileClip('video.mp4')  # 替换为您的视频文件
audio_clip = AudioFileClip('audio.mp3')  # 替换为您的音轨文件# 将音轨添加到视频
video_clip = video_clip.set_audio(audio_clip)# 保存合并后的视频
output_video_path = 'output_video.mp4'
video_clip.write_videofile(output_video_path, codec='libx264')# 关闭视频和音轨文件
video_clip.close()
audio_clip.close()print(f"已将音轨成功合并到视频并保存为 {output_video_path}")

6.视频合并

def image_stitching(images,stack):height, width, channels = images[0].shape# 遍历所有图像，如果尺寸不同，将它们调整为相同的尺寸for i in range(1, len(images)):if images[i].shape != (height, width, channels):images[i] = cv2.resize(images[i], (width, height))if stack == 0:result = np.hstack(images)else:result = np.vstack(images)return result#stack为0是水平合并，等于1是垂直合并
def video_stitching(video_path_1,video_path_2,output_path,stack):cap1 = cv2.VideoCapture(video_path_1)cap2 = cv2.VideoCapture(video_path_2)if stack == 0:frame_width = int(cap1.get(3)) * 2frame_height = int(cap1.get(4))elif stack == 1:frame_width = int(cap1.get(3))frame_height = int(cap1.get(4)) * 2fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')out = cv2.VideoWriter(output_path, fourcc, 25, (frame_width, frame_height))while (True):ret1, frame1 = cap1.read()ret2, frame2 = cap2.read()if ret1 and ret2 == True:images = [frame1, frame2]dst = image_stitching(images,stack)out.write(dst)else:breakcap1.release()cap2.release()out.release()