一、原始视频截图
import cv2
cap=cv2.VideoCapture(r"【小仙若】shake it !冬日也要活力满满! (P1. shake it).mp4")
ret,frame=cap.read()
i =0
timeF=3
j=0
num=0
while 1:
i=i+1
if (i%timeF==0):
j=j+1
cv2.imwrite("./pictures/"+str(num)+".jpg",frame)
num+=1
print("save image:",i)
ret,frame=cap.read()
二、提取人像
# -*- coding:utf-8 -*-
import cv2
import base64
import numpy as np
import os
from aip import AipBodyAnalysis
import time
import random
APP_ID = '25365416'
API_KEY = 'pS5cVzzw2iBfLY6MKRhUE4cw'
SECRET_KEY = '×××××××××××××××××××××××××'
client = AipBodyAnalysis(APP_ID, API_KEY, SECRET_KEY)
# 保存图像分割后的路径
path = './mask_img/'
# os.listdir 列出保存到图片名称
pics = os.listdir('./pictures')
print(pics)
for im in pics:
# 按顺序构造出图片路径
img = os.path.join("./pictures",im)
img1 = cv2.imread(img)
height, width, _ = img1.shape
# print(height, width)
# 二进制方式读取图片
with open(img, 'rb') as fp:
img_info = fp.read()
# 设置只返回前景 也就是分割出来的人像
res = client.bodySeg(img_info)
seg_res = client.bodySeg(img_info)
labelmap = base64.b64decode(seg_res['foreground'])
file = open('./he/'+im.split(".")[0]+'.png','wb')
file.write(labelmap)
file.close()
print('======== 图像分割完成 ========')
三、和背景图合并
import cv2
import os
from PIL import Image
import numpy as np
background='1.jpg'
def blend_images(fore_image, base_image):
"""
将抠出的人物图像换背景
fore_image: 前景图片,抠出的人物图片
base_image: 背景图片
"""
# 读入图片
base_image = Image.open(base_image).convert('RGB')
fore_image = Image.open(fore_image).resize(base_image.size)
# 图片加权合成
scope_map = np.array(fore_image)[:,:,-1] / 255
scope_map = scope_map[:,:,np.newaxis]
scope_map = np.repeat(scope_map, repeats=3, axis=2)
res_image = np.multiply(scope_map, np.array(fore_image)[:,:,:3]) + np.multiply((1-scope_map), np.array(base_image))
#保存图片
res_image = Image.fromarray(np.uint8(res_image))
res_image.save(os.path.join('./he/',im))
#cv2.imwrite(os.path.join(path1,im), result)
# os.listdir 列出保存到图片名称
pics = os.listdir('./he1/')
print(pics)
for im in pics:
img='./he1/'+im
blend_images(img, background)
四、合成视频
我的背景图尺寸是3840×2160
# 图片合成视频
import cv2
import os
pics = os.listdir('./he/')
fourcc = cv2.VideoWriter_fourcc('X','V','I','D')
# 保存格式,参数分别为filename,编码器,帧率,尺寸
out=cv2.VideoWriter("2.avi",fourcc,10,(3840,2160))
print(pics)
for im in pics:
# 按顺序构造出图片路径
img = os.path.join("./he/",im)
img1 = cv2.imread(img)
# 指定编码器
print(img1)
# 写入视频
out.write(img1)
cv2.imshow("detections", img1)
# 注意:尺寸一定要和图像保持一致,否则看不了视频
# 如果想改变保存视频尺寸,应该先把读入的图像的尺寸改变
out.release()
cv2.destoryAllWindows()
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