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import os
import cv2
# todo
cap = cv2.VideoCapture('ikun.mp4')

fps = cap.get(cv2.CAP_PROP_FPS)
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
print('fps:', fps, '\n', 'width:', width, '\n', 'height:', height, '\n', 'frames:', frames)
# todo
path = 'ikun'
if not os.path.exists(path):
    os.mkdir(path)

i = 0
while True:
    flag, frame = cap.read()
    filename = path + '/{}.jpg'.format(str(i))
    print(filename)
    cv2.imwrite(filename, frame)
    i = i + 1
    if i > int(frames):
        break

在上篇文章中,The author directly continues the frames extracted from the original video边缘检测Save as a picture after processing,而在这里,The author directly extracts the frames of the original video and saves them without modification.便于后续操作.

2Raw video audio extraction.py

import moviepy.editor as mp
def extract_audio(videos_file_path):
    my_clip = mp.VideoFileClip(videos_file_path)
    my_clip.audio.write_audiofile(f'{videos_file_path.split(".")[0]}.mp3')
# todo
extract_audio('ikun.mp4')

3-1PILBatch convert detail frame line art.py

import os
from PIL import Image
from PIL import ImageFilter

# todo 这里的pathFor the previously extracted picture frame by frame,new_pathDirectory to save for newly generated line drawings
path = 'ikun'
new_path = 'new_ikun1'

if not os.path.exists(new_path):
    os.mkdir(new_path)

# Output the number of original catalog images
a = os.listdir(path)
b = len(a)
print("The number of original catalog images：", b)
for i in range(b):
    '''细节'''
    square = Image.open(path + "/{}.jpg".format(i))
    square1 = square.filter(ImageFilter.DETAIL)
    '''轮廓'''
    square2 = square1.filter(ImageFilter.CONTOUR)
    square2.save(new_path + "/{}.jpg".format(i))
    print(new_path + "/{}.jpg".format(i))

这里笔者采用了PIL中细节＋Outline way,Extract line drawings（PILExtract line drawings,An outline is required for this step）

Picture change display

3-2PILBatch convert edge-enhanced line art.py

import os
from PIL import Image
from PIL import ImageFilter

# todo 这里的pathFor the previously extracted picture frame by frame,new_pathDirectory to save for newly generated line drawings
path = 'ikun'
new_path = 'new_ikun2'

if not os.path.exists(new_path):
    os.mkdir(new_path)

# Output the number of original catalog images
a = os.listdir(path)
b = len(a)
print("The number of original catalog images：", b)
for i in range(b):
    '''边缘增强'''
    square = Image.open(path + "/{}.jpg".format(i))
    square1 = square.filter(ImageFilter.EDGE_ENHANCE)
    '''轮廓'''
    square2 = square1.filter(ImageFilter.CONTOUR)
    square2.save(new_path + "/{}.jpg".format(i))
    print(new_path + "/{}.jpg".format(i))

同样的,I just changed it herePIL的一个函数,Use edge enhancement+Outline way,You can check out my previous blog,You can also try it yourself,Try out a variety of styles.

利用PILlibrary for simple image manipulation,The kids next door who beat the king are asking me for sketches,快上车！！

Picture change display：

（不知道为啥,I feel this looks better）

4PIL帧-视频合成.py

import cv2
import os
size = (854, 480)
# todo pathAnd the saved video name needs to be changed according to
path = 'new_ikun1'
videowrite = cv2.VideoWriter('output_ikun1.mp4', -1, 25, size)

a = os.listdir(path)
n = len(a)
for i in range(n):
    img = cv2.imread(path + "/{}.jpg".format(i))
    videowrite.write(img)
videowrite.release()
print('end!')

5Audio and video synthesis The final full video with sound.py

import moviepy.editor as mp

# todo The path depends on the situation
# todo Incoming lineart video
video = mp.VideoFileClip('output_ikun1.mp4')
audio = mp.AudioFileClip('ikun.mp3')
video_merge = video.set_audio(audio)
# todo The final generated video with audio
video_merge.write_videofile('final_ikun1.mp4')



# video = mp.VideoFileClip('output_ikun2.mp4')
# audio = mp.AudioFileClip('ikun.mp3')
# video_merge = video.set_audio(audio)
# video_merge.write_videofile('final_ikun2.mp4')

注：4和5are only based on3-1The line art content for making a video