├── mark.png ├── .gitignore ├── readme.md ├── main.sh ├── mark.py ├── extract.py └── LICENSE /mark.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huailiang/watermark/HEAD/mark.png -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | hd/ 2 | gen/ 3 | **/.idea/ 4 | *.tmp 5 | *.pyck 6 | *.DS_Store 7 | filter/ 8 | *.mp4 9 | *.MP4 10 | hd copy/ 11 | gen2/ -------------------------------------------------------------------------------- /readme.md: -------------------------------------------------------------------------------- 1 | ## 移除短视频水印工具 2 | 3 | #### 环境: 4 | 5 | 1. python-cv2 6 | 2. ffmpeg 7 | 8 | 9 | #### 步骤 10 | 11 | 将下载下来的如抖音视频保存到本地, 然后执行下面脚本: 12 | 13 | ```sh 14 | # path/yours/audio.mp4 替换成短视频的实际路径 15 | sh main.sh path/yours/audio.mp4 16 | ``` 17 | 18 | 19 | 20 | 执行完毕之后, 会看到generated.mp4 -------------------------------------------------------------------------------- /main.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # ============================================== 4 | # This tool is remove watermark in short-clips 5 | # such as 抖音, 微视 6 | # ---------------------------------------------- 7 | # Author: Huailiang.Peng 8 | # Data: 2020.02.07 9 | # ============================================== 10 | 11 | 12 | if [ $# < 1 ] ; then 13 | echo "请传入视频的路径" 14 | exit 1; 15 | fi 16 | 17 | 18 | # ${1} 视频的地址 如douyin.mp4 19 | ffmpeg -i ${1} -r 25 -f image2 image-%04d.png 20 | 21 | mkdir -p hd/ 22 | 23 | mv image-*.png hd/ 24 | 25 | mkdir -p gen/ 26 | 27 | python extract.py 28 | 29 | cd gen/ 30 | 31 | ffmpeg -i image-%04d.png generated.mp4 32 | 33 | mv generated.mp4 .. 34 | -------------------------------------------------------------------------------- /mark.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | # -*- coding: utf-8 -*- 3 | # @Author: penghuailiang 4 | # @Date : 4/30/20 5 | 6 | import cv2 7 | import os 8 | import numpy as np 9 | 10 | 11 | def generate_file(file, mark): 12 | im = cv2.imread("gen/" + file, cv2.IMREAD_UNCHANGED) 13 | shape = im.shape 14 | print(file, shape, mark.shape) 15 | nim = np.zeros(shape) 16 | pos = (580, 1120) 17 | for x in range(shape[0]): 18 | for y in range(shape[1]): 19 | if pos[0] < x < pos[0] + mark.shape[0] and pos[1] < y < pos[1] + mark.shape[1]: 20 | color = mark[x - pos[0], y - pos[1]][0:3] 21 | alpha = mark[x - pos[0], y - pos[1]][3:4] 22 | rate = alpha / 255.0 23 | # mark 和 背景图 融合Blend 24 | nim[x, y] = im[x, y] * (1 - rate) + color * rate 25 | else: 26 | nim[x, y] = im[x, y] 27 | 28 | if not os.path.exists("gen2"): 29 | os.makedirs("gen2") 30 | cv2.imwrite("gen2/" + file, nim) 31 | 32 | 33 | def process_main(dir): 34 | mark = cv2.imread("mark.png", cv2.IMREAD_UNCHANGED) 35 | # mark 显示调整大小 36 | mark = cv2.resize(mark, (100, 100)) 37 | for maindir, subdir, files in os.walk(dir): 38 | list = [] 39 | for file in files: 40 | if file.endswith(".png"): 41 | list.append(file) 42 | list.sort() 43 | for i, it in enumerate(list): 44 | generate_file(it, mark) 45 | 46 | 47 | if __name__ == '__main__': 48 | process_main("gen/") 49 | -------------------------------------------------------------------------------- /extract.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | # -*- coding: utf-8 -*- 3 | # @Author: penghuailiang 4 | # @Date : 2/7/20 5 | 6 | 7 | import cv2 8 | import os 9 | import sys 10 | import numpy as np 11 | 12 | rect = (120, 280) # (H, W) 水印框大小 13 | pos1 = (0, 10) # 左上角位置 14 | pos2 = (580, 1000) # 右下角位置 15 | 16 | 17 | # 提取水印, 生成存放在filter目录 18 | def generate_filter(file): 19 | print(file) 20 | im = cv2.imread("hd/" + file) 21 | shape = im.shape 22 | nim = np.zeros((shape[0], shape[1]), dtype=np.uint8) 23 | st_lt = 0 24 | for x in range(pos1[0], pos1[0] + rect[0]): 25 | for y in range(pos1[1], pos1[1] + rect[1]): 26 | px = im[x, y] 27 | if sum(px) > 640: 28 | nim[x, y] = 255 29 | st_lt = st_lt + 1 # 像素超过一定数量就判定为右下角, 否则水印在左上角 30 | if st_lt < 1000: 31 | nim = np.zeros((shape[0], shape[1]), dtype=np.uint8) # clear 32 | for x in range(pos2[0], pos2[0] + rect[0]): 33 | for y in range(pos2[1], pos2[1] + rect[1]): 34 | px = im[x, y] 35 | if sum(px) > 700: 36 | nim[x, y] = 255 37 | # 这里提取的水印的灰度图 38 | if not os.path.exists("filter"): 39 | os.makedirs("filter") 40 | cv2.imwrite("filter/" + file, nim) 41 | return nim 42 | 43 | 44 | # 卷积过滤水印, 保存在gen目录 45 | def generate_file(file): 46 | print(file) 47 | mask = generate_filter(file) 48 | kernel = np.ones((3, 3), np.uint8) 49 | im = cv2.imread("hd/" + file) 50 | dilate = cv2.dilate(mask, kernel, iterations=3) 51 | sp = cv2.inpaint(im, dilate, 7, flags=cv2.INPAINT_TELEA) 52 | sp = cv2.bilateralFilter(sp, 5, 280, 50) 53 | cv2.imwrite("gen/" + file, sp) 54 | 55 | 56 | def process_main(dir): 57 | for maindir, subdir, files in os.walk(dir): 58 | list = [] 59 | for file in files: 60 | if file.endswith(".png"): 61 | list.append(file) 62 | list.sort() 63 | for i, it in enumerate(list): 64 | generate_file(it) 65 | 66 | 67 | if __name__ == '__main__': 68 | print(sys.argv) 69 | if len(sys.argv) > 2: 70 | rect = (sys.argv[1], sys.argv[2]) 71 | if len(sys.argv) > 4: 72 | pos1 = (sys.argv[3], sys.argv[4]) 73 | if len(sys.argv) > 6: 74 | pos2 = (sys.argv[5], sys.argv[6]) 75 | process_main("hd/") 76 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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