腾讯人像分割

import cv2
import numpy as np

# 加载预训练的人像分割模型
net = cv2.dnn.readNetFromTensorflow('frozen_inference_graph.pb', 'ssd_mobilenet_v2_coco.pbtxt')

def segment_person(image):
    # 创建4D blob并进行前向传递
    blob = cv2.dnn.blobFromImage(image, size=(300, 300), swapRB=True, crop=False)
    net.setInput(blob)
    detections = net.forward()

    # 处理检测结果
    for i in range(detections.shape[2]):
        confidence = detections[0, 0, i, 2]
        if confidence > 0.5:  # 设置置信度阈值
            box = detections[0, 0, i, 3:7] * np.array([image.shape[1], image.shape[0], image.shape[1], image.shape[0]])
            (x, y, x1, y1) = box.astype("int")
            person = image[y:y1, x:x1]
            # 可以在这里进行进一步的背景替换或处理

    return image  # 返回处理后的图像

# 读取并显示图像
image = cv2.imread('test.jpg')
result = segment_person(image)
cv2.imshow('Segmented Image', result)
cv2.waitKey(0)
cv2.destroyAllWindows()