一键生成眨眼照片app，一键生成眨眼照片，秒解人脸识别软件

下载地址：https://www.pan38.com/dow/share.php?code=JCnzE 提取密码：1133

这段代码使用了dlib的人脸检测和关键点定位功能来识别眼睛区域，然后通过图像处理技术模拟眨眼效果。代码需要shape_predictor_68_face_landmarks.dat模型文件，可以从dlib官网下载。请注意这只是一个技术演示，实际应用中需要考虑更多因素。

import cv2
import dlib
import numpy as np
from PIL import Image
import random
import math

class BlinkGenerator:
def init(self):
self.detector = dlib.get_frontal_face_detector()
self.predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

def load_image(self, image_path):
    self.image = cv2.imread(image_path)
    self.gray = cv2.cvtColor(self.image, cv2.COLOR_BGR2GRAY)
    return self.image is not None

def detect_faces(self):
    self.faces = self.detector(self.gray)
    return len(self.faces) > 0

def get_landmarks(self):
    self.landmarks = []
    for face in self.faces:
        landmarks = self.predictor(self.gray, face)
        self.landmarks.append(landmarks)
    return self.landmarks

def simulate_blink(self, intensity=0.7):
    for landmarks in self.landmarks:
        # Get eye landmarks
        left_eye_points = [(landmarks.part(i).x, landmarks.part(i).y) for i in range(36, 42)]
        right_eye_points = [(landmarks.part(i).x, landmarks.part(i).y) for i in range(42, 48)]

        # Create eye masks
        left_eye_mask = np.zeros_like(self.gray)
        right_eye_mask = np.zeros_like(self.gray)

        cv2.fillPoly(left_eye_mask, [np.array(left_eye_points)], 255)
        cv2.fillPoly(right_eye_mask, [np.array(right_eye_points)], 255)

        # Apply blink effect
        eye_region = cv2.bitwise_and(self.image, self.image, mask=left_eye_mask)
        eye_region = cv2.addWeighted(eye_region, 1-intensity, 
                                    cv2.GaussianBlur(eye_region, (15,15), 10), 
                                    intensity, 0)
        self.image = cv2.bitwise_and(self.image, self.image, mask=cv2.bitwise_not(left_eye_mask))
        self.image = cv2.add(self.image, eye_region)

        eye_region = cv2.bitwise_and(self.image, self.image, mask=right_eye_mask)
        eye_region = cv2.addWeighted(eye_region, 1-intensity, 
                                    cv2.GaussianBlur(eye_region, (15,15), 10), 
                                    intensity, 0)
        self.image = cv2.bitwise_and(self.image, self.image, mask=cv2.bitwise_not(right_eye_mask))
        self.image = cv2.add(self.image, eye_region)

def save_image(self, output_path):
    cv2.imwrite(output_path, self.image)

def generate_blink_sequence(self, input_path, output_prefix, num_frames=5):
    if not self.load_image(input_path):
        return False

    if not self.detect_faces():
        return False

    self.get_landmarks()

    for i in range(num_frames):
        blink_intensity = math.sin(i * math.pi / (num_frames-1))
        self.simulate_blink(blink_intensity)
        self.save_image(f"{output_prefix}_{i:02d}.png")

    return True

if name == "main":
generator = BlinkGenerator()
generator.generate_blink_sequence("input.jpg", "output_blink")