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							- import os 
 
- import cv2
 
- import glob
 
- import torch
 
- import shutil
 
- import numpy as np
 
- from tqdm import tqdm
 
- from util.reverse2original import reverse2wholeimage
 
- import moviepy.editor as mp
 
- from moviepy.editor import AudioFileClip, VideoFileClip 
 
- from moviepy.video.io.ImageSequenceClip import ImageSequenceClip
 
- import  time
 
- from util.add_watermark import watermark_image
 
- def _totensor(array):
 
-     tensor = torch.from_numpy(array)
 
-     img = tensor.transpose(0, 1).transpose(0, 2).contiguous()
 
-     return img.float().div(255)
 
- def video_swap(video_path, id_vetor, swap_model, detect_model, save_path, temp_results_dir='./temp_results', crop_size=224):
 
-     video_audio_clip = AudioFileClip(video_path)
 
-     video = cv2.VideoCapture(video_path)
 
-     logoclass = watermark_image('./simswaplogo/simswaplogo.png')
 
-     ret = True
 
-     frame_index = 0
 
-     frame_count = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
 
-     # video_WIDTH = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
 
-     # video_HEIGHT = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
 
-     
 
-     fps = video.get(cv2.CAP_PROP_FPS)
 
-     if  os.path.exists(temp_results_dir):
 
-             shutil.rmtree(temp_results_dir)
 
-     # while ret:
 
-     for frame_index in tqdm(range(frame_count)): 
 
-         ret, frame = video.read()
 
-         if  ret:
 
-             detect_results = detect_model.get(frame,crop_size)
 
-             if detect_results is not None:
 
-                 # print(frame_index)
 
-                 if not os.path.exists(temp_results_dir):
 
-                         os.mkdir(temp_results_dir)
 
-                 frame_align_crop_list = detect_results[0]
 
-                 frame_mat_list = detect_results[1]
 
-                 swap_result_list = []
 
-                 for frame_align_crop in frame_align_crop_list:
 
-                     # BGR TO RGB
 
-                     # frame_align_crop_RGB = frame_align_crop[...,::-1]
 
-                     frame_align_crop_tenor = _totensor(cv2.cvtColor(frame_align_crop,cv2.COLOR_BGR2RGB))[None,...].cuda()
 
-                     swap_result = swap_model(None, frame_align_crop_tenor, id_vetor, None, True)[0]
 
-                     swap_result_list.append(swap_result)
 
-                     
 
-                 reverse2wholeimage(swap_result_list, frame_mat_list, crop_size, frame, logoclass,os.path.join(temp_results_dir, 'frame_{:0>7d}.jpg'.format(frame_index)))
 
-             else:
 
-                 if not os.path.exists(temp_results_dir):
 
-                     os.mkdir(temp_results_dir)
 
-                 frame = logoclass.apply_frames(frame.astype(np.uint8))
 
-                 cv2.imwrite(os.path.join(temp_results_dir, 'frame_{:0>7d}.jpg'.format(frame_index)), frame)
 
-         else:
 
-             break
 
-         # TODO,是否应该判断这个break是否是异常抛出
 
-     video.release()
 
-     # image_filename_list = []
 
-     path = os.path.join(temp_results_dir,'*.jpg')
 
-     image_filenames = sorted(glob.glob(path))
 
-     clips = ImageSequenceClip(image_filenames,fps = fps)
 
-     final_clips = clips.set_audio(video_audio_clip)
 
-     # logo = (mp.ImageClip("./simswaplogo/simswap.png")
 
-     #     .set_duration(clips.duration) # 水印持续时间
 
-     #     .resize(height=100) # 水印的高度,会等比缩放
 
-     #     .margin(right=8, top=8, opacity=1) # 水印边距和透明度
 
-     #     .set_pos(("left"))) # 水印的位置
 
-     # final_clips = mp.CompositeVideoClip([clips, logo])
 
-     # final_clips.write_videofile("./output/test_beatuy_480p_full.mp4")
 
-     final_clips.write_videofile(save_path)
 
-     # video = VideoFileClip(save_path)
 
-     # video_audio_clip
 
 
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