人脸注册

tom = [...]  # (1, 128)
jack = [...]  # (1, 128)

np.savez('faces.npz', tom=tom, jack=jack)

人脸加载

def load_embeddings(path):
    arrs = np.load(path)
    names, embeddings = [], []
    for name, embedding in arrs.items():
        names.append(name)
        embeddings.append(embedding)
    embeddings = np.vstack(embeddings)
    return np.array(names), embeddings

人脸比对

def compare(embedding, embeddings):  # face: (1, 128), embeddings: (None, 128)
	# Euclidean distance
    return np.sqrt(np.sum(((embeddings - embedding) ** 2), axis=1))

人脸识别

def recognize(embedding, embeddings, names):
    result = compare(embedding, embeddings)
    index = np.argsort(result)[::-1]
    score = result[index][0]
    if  score < 1.1:
        return names[index][0], score
    else:
        return 'unknown', score

应用

names, embeddings = load_embeddings('faces.npz')
while 1:
	faces = [...]
	for face in faces:
		embedding = [...]
		name = recognize(embedding, embeddings, names)

最后

以上就是勤劳楼房为你收集整理的人脸识别后处理流程代码人脸注册人脸加载人脸比对人脸识别应用的全部内容，希望文章能够帮你解决人脸识别后处理流程代码人脸注册人脸加载人脸比对人脸识别应用所遇到的程序开发问题。

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