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