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| import cv2 | |
| import torch | |
| import imageio | |
| from methods.img2pixl import pixL | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| face2paint = torch.hub.load("bryandlee/animegan2-pytorch:main", "face2paint", device=device, size=512) | |
| model = torch.hub.load("bryandlee/animegan2-pytorch", "generator", device=device).eval() | |
| class Media: | |
| #Author: Alican Akca | |
| def __init__(self,fname = None,pixel_size = None): | |
| self.fname = fname | |
| self.pixel_size = pixel_size | |
| def split(self,fname,pixel_size, mediaType): | |
| media = cv2.VideoCapture(fname) | |
| frames = [] | |
| while True: | |
| ret, cv2Image = media.read() | |
| if not ret: | |
| break | |
| frames.append(cv2Image) | |
| frames = pixL().toThePixL(frames, pixel_size) | |
| if mediaType == 'gif': | |
| imageio.mimsave('cache.gif', frames) | |
| return [None, 'cache.gif', 'cache.gif'] | |
| else: | |
| output_file = "cache.mp4" | |
| out = cv2.VideoWriter(output_file,cv2.VideoWriter_fourcc(*'h264'), 15, (frames[0].shape[1],frames[0].shape[0])) | |
| for i in range(len(frames)): | |
| out.write(frames[i]) | |
| out.release() | |
| return [output_file, None, output_file] |