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:文章来源:https://www.toymoban.com/news/detail-787999.html
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_name
input = 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.audio
audio_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_path
subprocess.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)) * 2
frame_height = int(cap1.get(4))
elif stack == 1:
frame_width = int(cap1.get(3))
frame_height = int(cap1.get(4)) * 2
fourcc = 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:
break
cap1.release()
cap2.release()
out.release()
水平合并的效果:
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