一键换脸 | 人脸转换 | 照片换脸|deepfakes - 附源码【简捷工具网】

如今最火的技术是什么？ 换脸！换脸！还是换脸，作为人工智能最火的应用技术！

对于普通人来说怎么换脸呢？

为了验证效果，小编将应用部署在简捷工具网上，换脸神器：http://www.shulijp.com/image/swapface/swapface.html

看一下效果还是不错滴！

接下来当然是开源代码啦：

def changeface(p1,p2):
    record={}
    record1={}
    record2={}
    eye_right, eye_left, mouth1 = get_eye(p1,record,record1,record2)
    eye_right2, eye_left2, mouth2 = get_eye(p2,record,record1,record2)

    eye_right_resized = cv2.resize(eye_right,(record[p2][2]-record[p2][0],record[p2][3]-record[p2][1]),interpolation=cv2.INTER_AREA)
    eye_left_resized = cv2.resize(eye_left, (record1[p2][2] - record1[p2][0], record1[p2][3] - record1[p2][1]),interpolation=cv2.INTER_AREA)

    eye_right2_resized = cv2.resize(eye_right2,(record[p1][2]-record[p1][0],record[p1][3]-record[p1][1]),interpolation=cv2.INTER_AREA)
    eye_left2_resized = cv2.resize(eye_left2, (record1[p1][2] - record1[p1][0], record1[p1][3] - record1[p1][1]),interpolation=cv2.INTER_AREA)

    mouth1_resized = cv2.resize(mouth1,(record2[p2][2]-record2[p2][0],record2[p2][3]-record2[p2][1]),interpolation=cv2.INTER_AREA)
    mouth2_resized = cv2.resize(mouth2, (record2[p1][2] - record2[p1][0], record2[p1][3] - record2[p1][1]),interpolation=cv2.INTER_AREA)

    im = cv2.imread(p1)
    obj = eye_right2_resized
    # Create an all white mask
    mask = 255 * np.ones(obj.shape, obj.dtype)
    center = (int((record[p1][0] + record[p1][2]) / 2), int((record[p1][1] + record[p1][3]) / 2))
    # Seamlessly clone src into dst and put the results in output
    normal_clone = cv2.seamlessClone(obj, im, mask, center, cv2.NORMAL_CLONE)

    im1 = normal_clone
    obj1 = eye_left2_resized
    # Create an all white mask
    mask1 = 255 * np.ones(obj1.shape, obj1.dtype)
    center1 = (int((record1[p1][0] + record1[p1][2]) / 2), int((record1[p1][1] + record1[p1][3]) / 2))
    # Seamlessly clone src into dst and put the results in output
    normal_clone1 = cv2.seamlessClone(obj1, im1, mask1, center1, cv2.NORMAL_CLONE)

    im2 = normal_clone1
    obj2 = mouth2_resized
    mask2 = 255 * np.ones(obj2.shape, obj2.dtype)
    center2 = (int((record2[p1][0] + record2[p1][2]) / 2), int((record2[p1][1] + record2[p1][3]) / 2))
    normal_clone2 = cv2.seamlessClone(obj2, im2, mask2, center2, cv2.NORMAL_CLONE)
    p1 = "".join(p1.split('.')[:-1]) + "_ted.jpg"
    cv2.imwrite(p1, normal_clone2)
    return p1;

好了以上就是我的分享，有喜欢换脸技术的请 联系我