ai-spokesgirl/op_and_ed.py

import openshot


def cKey(r, g, b, fuzz):
    col = openshot.Color()
    col.red = openshot.Keyframe(r)
    col.green = openshot.Keyframe(g)
    col.blue = openshot.Keyframe(b)
    return openshot.ChromaKey(col, openshot.Keyframe(fuzz))


def video_photo_clip(video=None, layer=None, position=None, end=None
                     , scale_x=1, scale_y=1, location_x=0, location_y=0, ck=None, audio=True):
    clip = openshot.Clip(video)
    clip.Layer(layer)
    clip.Position(position)
    clip.End(end)
    clip.scale_x = openshot.Keyframe(scale_x)
    clip.scale_y = openshot.Keyframe(scale_y)
    clip.location_x = openshot.Keyframe(location_x)
    clip.location_y = openshot.Keyframe(location_y)
    
    if ck != None:
        clip.AddEffect(ck)
    if audio == True:
        clip.has_audio = openshot.Keyframe(1)
    else:
        clip.has_audio = openshot.Keyframe(0)
    return clip


def video_writer_init(path):
    w = openshot.FFmpegWriter(path)
    w.SetAudioOptions(True, "aac", 44100, 2, openshot.LAYOUT_STEREO, 3000000)
    w.SetVideoOptions(True, "libx264", openshot.Fraction(30000, 1000), 1280, 720,
                      openshot.Fraction(1, 1), False, False, 3000000)
    return w


def create_video(bg, title_bg, people, time):
    t = openshot.Timeline(1280, 720, openshot.Fraction(30000, 1000), 44100, 2, openshot.LAYOUT_STEREO)
    t.Open()
    
    ck = cKey(0, 254, 0, 270)
    ck_anchor = cKey(0, 255, 0, 320)
    
    # anchor_audio = openshot.FFmpegReader(audio)  # 音檔
    # anchor_audio.Open()
    # anchor_clip_audio = video_photo_clip(video=anchor_audio, layer=1, scale_x=0.59, scale_y=0.59, location_x=-0.04, location_y=-0.04, position=0, end=anchor_audio.info.duration, ck=None, audio=True)
    # print(anchor_audio.info.duration)
    # t.AddClip(anchor_clip_audio)
    # anchor_audio.Close()
    
    anchor_video = openshot.FFmpegReader(bg)  # 影片
    anchor_video.Open()
    anchor_clip_video = video_photo_clip(video=anchor_video, layer=3, scale_x=0.59, scale_y=0.59, location_x=-0.04,
                                         location_y=-0.04, position=0, end=20, ck=None, audio=False)
    t.AddClip(anchor_clip_video)
    anchor_video.Close()
    
    anchor_template = openshot.FFmpegReader(title_bg)  # 樣板
    anchor_template.Open()
    anchor_clip_template = video_photo_clip(video=anchor_template, layer=2, scale_x=1, scale_y=1, location_x=0,
                                            location_y=0, position=0, end=20, ck=None, audio=True)
    t.AddClip(anchor_clip_template)
    anchor_template.Close()
    
    anchor_people = openshot.FFmpegReader(people)  # 主播
    anchor_people.Open()
    anchor_clip_people = video_photo_clip(video=anchor_people, layer=4, scale_x=0.8, scale_y=0.8, location_x=0.38,
                                          location_y=0.35, position=0, end=20, ck=ck_anchor, audio=True)
    t.AddClip(anchor_clip_people)
    anchor_people.Close()
    
    w = video_writer_init("/app/output/Q-3.mp4")
    w.Open()
    # frames = int(t.info.fps)*int(time)
    frames = t.info.fps.ToInt() * int(time)
    print('結果一', frames)
    for n in range(frames):
        # tmp = n%(int(t.info.fps)*3) +int(t.info.fps)*int(2)
        f = t.GetFrame(n)
        w.WriteFrame(f)
    
    t.Close()
    w.Close()


if __name__ == '__main__':
    # data = pd.read_csv('/Users/zooeytsai/Documents/導盲犬協會.csv')
    # for i in data:
    #     if i['是否要場景'] == '是':
    #         create_video(f"/app/input/movie_main/{i['素材']}", "/app/input/bg/串場樣板1.mp4", "/app/input/people/peggy1_1.mp4", f"/app/input/movie_main/{i['音檔']}")
    #     else:
    #         create_video(f"/app/input/movie_main/{i['素材']}", f"/app/input/movie_main/{i['音檔']}")
    create_video("/app/input/movie_main/2022_04_15_165219.jpg", "/app/input/bg/樣板.mp4",
                 "/app/input/people/nwfggznfiy.mp4",
                 20)