基于Python实现简易视频剪辑工具

pip install moviepy opencv-python numpy pillow

import moviepy
print(f"MoviePy版本: {moviepy.__version__}")  # 应≥1.0.3

from moviepy.editor import VideoFileClip

def clip_segment(input_path, output_path, start_sec, end_sec):
    """截取视频片段"""
    with VideoFileClip(input_path) as video:
        segment = video.subclip(start_sec, end_sec)
        segment.write_videofile(output_path, codec='libx264')

def resize_video(input_path, output_path, width, height):
    """调整视频尺寸"""
    video = VideoFileClip(input_path)
    resized = video.resize(newsize=(width, height))
    resized.write_videofile(output_path)

def extract_audio(video_path, audio_path):
    """提取音频轨道"""
    video = VideoFileClip(video_path)
    audio = video.audio
    audio.write_audiofile(audio_path)

from moviepy.audio.AudioClip import CompositeAudioClip

def mix_audio(video_path, bgm_path, output_path, bgm_volume=0.7):
    """添加背景音乐"""
    video = VideoFileClip(video_path)
    original_audio = video.audio
    bgm = AudioFileClip(bgm_path).volumex(bgm_volume)
    
    # 计算音频时长对齐
    composite = CompositeAudioClip([original_audio, bgm.set_duration(video.duration)])
    video.audio = composite
    video.write_videofile(output_path)

from moviepy.video.fx import fadein, fadeout

def add_transition(clip1, clip2, duration=1):
    """添加淡入淡出转场"""
    clip1_fadeout = clip1.fx(fadeout, duration)
    clip2_fadein = clip2.fx(fadein, duration)
    return concatenate_videoclips([clip1_fadeout, clip2_fadein])

from moviepy.video.VideoClip import TextClip

def add_subtitle(video_path, text, output_path, **kwargs):
    """添加可定制字幕"""
    video = VideoFileClip(video_path)
    txt_clip = TextClip(text, fontsize=kwargs.get('fontsize', 24), 
                        color=kwargs.get('color', 'white'),
                        bg_color=kwargs.get('bg_color', 'transparent'))
    txt_clip = txt_clip.set_position(kwargs.get('position', ('center', 'bottom')))
    result = CompositeVideoClip([video, txt_clip.set_duration(video.duration)])
    result.write_videofile(output_path)

import cv2

def detect_keyframes(video_path, threshold=0.3):
    """基于帧间差异检测关键帧"""
    cap = cv2.VideoCapture(video_path)
    prev_frame = None
    keyframes = []
    
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret: break
        
        if prev_frame is not None:
            diff = cv2.absdiff(prev_frame, frame)
            diff_ratio = np.mean(diff) / 255
            if diff_ratio > threshold:
                keyframes.append(cap.get(cv2.CAP_PROP_POS_MSEC)/1000)
        prev_frame = frame
    
    return keyframes

class VideoProcessor:
    """视频处理流水线"""
    def __init__(self, input_path):
        self.clip = VideoFileClip(input_path)
        self.operations = []
    
    def add_operation(self, func, **kwargs):
        self.operations.append((func, kwargs))
    
    def execute(self, output_path):
        processed = self.clip
        for func, kwargs in self.operations:
            processed = func(processed, **kwargs)
        processed.write_videofile(output_path)

# 使用示例
processor = VideoProcessor("input.mp4")
processor.add_operation(resize, width=1280, height=720)
processor.add_operation(add_subtitle, text="Python剪辑演示", position=('center', 50))
processor.execute("output.mp4")

# 使用生成器逐帧处理
def frame_processor(video_path):
    cap = cv2.VideoCapture(video_path)
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret: break
        # 在此添加帧处理逻辑
        yield processed_frame

# 启用OpenCL加速
cv2.ocl.setUseOpenCL(True)

from concurrent.futures import ThreadPoolExecutor

def parallel_process(frames):
    with ThreadPoolExecutor() as executor:
        results = list(executor.map(process_frame, frames))

# 步骤1：素材准备
intro = clip_segment("raw.mp4", "intro.mp4", 0, 15)
main_clip = clip_segment("raw.mp4", "main.mp4", 20, 45)

# 步骤2：添加转场
transition_clip = add_transition(intro, main_clip)

# 步骤3：添加字幕
subtitle_clip = add_subtitle(transition_clip, "美好生活记录", position=('center', 30))

# 步骤4：混音处理
final_output = mix_audio(subtitle_clip, "bgm.mp4", "vlog_final.mp4")

FROM python:3.9-slim
RUN pip install moviepy opencv-python
COPY video_processor.py /app/
CMD ["python", "/app/video_processor.py"]