前言
处理视频滤镜之前,需要先掌握图片滤镜的处理,如何将一张夜景图片修改为赛博朋克的风格?
- 参考文章:Python 图像处理:滤镜之赛博朋克
视频滤镜
夜景素材
渲染效果
Python 代码
import ffmpeg
import numpy as np
import os
from image.cyber import cyberpunk
import cv2
if __name__ == '__main__':
# 源视频
video_path = 'night.mp4'
video_probe = ffmpeg.probe(video_path)
video_info = next((stream for stream in video_probe['streams'] if stream['codec_type'] == 'video'), None)
video_frames = int(video_info['nb_frames'])
width = int(video_info['width'])
height = int(video_info['height'])
video_input = ffmpeg.input(video_path)
in_process = (
video_input.video.output('pipe:', format='rawvideo', pix_fmt='rgb24', r=30).run_async(pipe_stdout=True)
)
# 滤镜视频流
tmp_path = 'night_tmp.mp4'
tmp_process = (
ffmpeg
.input('pipe:', format='rawvideo', pix_fmt='rgb24', s='{}x{}'.format(width, height), framerate=30)
.output(tmp_path, pix_fmt='yuv420p', r=30)
.overwrite_output()
.run_async(pipe_stdin=True)
)
frame_index = 1
# 视频帧处理
while True:
in_bytes = in_process.stdout.read(width * height * 3)
if not in_bytes:
break
in_frame = (
np
.frombuffer(in_bytes, np.uint8)
.reshape([height, width, 3])
)
# 渐变式局部滤镜视频,过渡时间 5 秒,帧率为 30,则此处设置的值为 150
in_frame_bgr = cv2.cvtColor(in_frame, cv2.COLOR_RGB2BGR)
current_width = int(width * (frame_index / 150))
in_frame_bgr[:, 0:current_width, :] = cyberpunk(in_frame_bgr[:, 0:current_width, :])
in_frame = cv2.cvtColor(in_frame_bgr, cv2.COLOR_BGR2RGB)
tmp_process.stdin.write(
in_frame
.astype(np.uint8)
.tobytes()
)
if frame_index < 150:
frame_index += 1
# 等待异步处理完毕
tmp_process.stdin.close()
in_process.wait()
tmp_process.wait()
# 将原始视频的音乐合并到新视频
result_path = 'night_new.mp4'
(
ffmpeg.input(tmp_path)
.output(video_input.audio, result_path, r=30)
.run(overwrite_output=True)
)
# 删除临时文件
os.remove(tmp_path)
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