Li Yunlong two-dimensional stylized! You can also generate such a leader with one click of star and fork!
Rolling, selling cute, begging star, begging for fork!
- Video effect goes to station B to watch the best effect: Li Yunlong two-dimensional stylized :
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Github open source repo: Li Yunlong's two-dimensional stylization
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Baidu AIstudio open source address, one-click fork can run: Li Yunlong two-dimensional stylized! One-click fork, you can do it too
The specific detailed operations are also listed step by step on AIstudio, please star and fork!
1. First find the video material you want to operate, extract the audio of the video separately for use
The resources I found myself are placed in the codes/videos/liyunlongfolder, which is Li Yunlong's famous scene:
Why don't you dare to fight with the brigade commander ! → Brigadier, I knelt down for you
2. Not much to say, enter the code practice:
- Install the basic environment
!pip install -r codes/PaddleGAN-develop/requirements.txt
- Import the basic environment
import paddle
import os
import sys
sys.path.insert(0,'codes/PaddleGAN-develop')
from ppgan.apps import AnimeGANPredictor
3.GAN it!
Friendly reminder : GPU environment is best used here, cpu reasoning is really a bit slow
Use paddlepaddle pre-trained animeGANv2 model to perform style transfer on the video:
from ppgan.apps import AnimeGANPredictor
import cv2
predictor = AnimeGANPredictor('',None,)
video_src = 'codes/videos/liyunlong/格式工厂混流 亮剑-03+亮剑-03+亮剑-04 00_00_23-.mp4'
video_ = cv2.VideoCapture(video_src)
video_name_ = os.path.basename(video_src)
total_frames = video_.get(cv2.CAP_PROP_FRAME_COUNT)
fps_ = video_.get(cv2.CAP_PROP_FPS)
print("video {}, fps:{}, total frames:{}...".format(video_name_, fps_, total_frames))
frame_count_ = 0
save_per_frames = 1
dst_dir = 'codes/videos/liyunlong/'
out_video = cv2.VideoWriter('{}/hayao_{}'.format(dst_dir, video_name_),
cv2.VideoWriter_fourcc(*'DIVX'), int(fps_),
(int(video_.get(3)), int(video_.get(4))))
print('now begin...')
while True:
ret_, frame_ = video_.read()
if not ret_: # or len(fps_list_) == 0:
print('end of video...')
break
result_frame = predictor.anime_image_only(frame_)
if frame_count_ % save_per_frames == 0:
out_video.write(result_frame)
frame_count_ = frame_count_ + 1
if frame_count_ % 100 == 0:
print("{}/{} processed...".format(frame_count_, int(total_frames)), flush=False)
Merge the generated video and the previously separated audio:
!ffmpeg -i codes/videos/liyunlong/hayao_格式工厂混流 亮剑-03+亮剑-03+亮剑-04 00_00_23-.mp4 -i codes/videos/liyunlong/音频1.aac -c:v copy -c:a aac -strict experimental codes/videos/liyunlong/李云龙二次元化.mp4
That's it~~~
Rolling and selling cute star and fork!