import cv2, os import numpy as np from tqdm import tqdm import uuid from src.utils.videoio import save_video_with_watermark def paste_pic(video_path, pic_path, crop_info, new_audio_path, full_video_path): if not os.path.isfile(pic_path): raise ValueError('pic_path must be a valid path to video/image file') elif pic_path.split('.')[-1] in ['jpg', 'png', 'jpeg']: # loader for first frame full_img = cv2.imread(pic_path) else: # loader for videos video_stream = cv2.VideoCapture(pic_path) fps = video_stream.get(cv2.CAP_PROP_FPS) full_frames = [] while 1: still_reading, frame = video_stream.read() if not still_reading: video_stream.release() break break full_img = frame frame_h = full_img.shape[0] frame_w = full_img.shape[1] video_stream = cv2.VideoCapture(video_path) fps = video_stream.get(cv2.CAP_PROP_FPS) crop_frames = [] while 1: still_reading, frame = video_stream.read() if not still_reading: video_stream.release() break crop_frames.append(frame) if len(crop_info) != 3: print("you didn't crop the image") return else: r_w, r_h = crop_info[0] clx, cly, crx, cry = crop_info[1] lx, ly, rx, ry = crop_info[2] lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry) # oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx # oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx oy1, oy2, ox1, ox2 = cly, cry, clx, crx tmp_path = str(uuid.uuid4())+'.mp4' out_tmp = cv2.VideoWriter(tmp_path, cv2.VideoWriter_fourcc(*'MP4V'), fps, (frame_w, frame_h)) for crop_frame in tqdm(crop_frames, 'seamlessClone:'): p = cv2.resize(crop_frame.astype(np.uint8), (crx-clx, cry - cly)) mask = 255*np.ones(p.shape, p.dtype) location = ((ox1+ox2) // 2, (oy1+oy2) // 2) gen_img = cv2.seamlessClone(p, full_img, mask, location, cv2.NORMAL_CLONE) out_tmp.write(gen_img) out_tmp.release() save_video_with_watermark(tmp_path, new_audio_path, full_video_path, watermark=False) os.remove(tmp_path)