基于TensorFlow、Keras与OpenCV的图像识别集成系统

Image recognition integrated system based on tensorflow,keras and opencv

图像识别是人工智能一个重要技术方向,广泛应用于自动驾驶、目标识别、人脸检测、车牌识别等机器视觉领域,本文结合深度学习框架TensorFlow与Keras,实现了一种图像识别的深度学习网络,离线训练识别目标样本,得到深度神经网络结构,然后结合实际应用,采用OpenCV调用,实现了在线图像识别集成系统,可有效实现目标图像的分类与识别。

image recognition is an important technology direction of artificial intelligence,which is widely used in the field of machine vision,such as automatic driving,target recognition,face detection,license plate recognition,etc Using OpenCV,an online image recognition integrated system is realized,which can effectively realize the classification and recognition of target images.