Application of neural network based on Caffe framework for object detection in Hilens
Fengpeng Guo, Hongcheng Huang, Yanbo Liu, Jing Xu · 2019
The semantic analysis of computer vision is to let the machine automatically understand, analyze and generate reasonable semantic concepts for the content contained in visual signals such as images or videos. At present, many experts and scholars have carried out in-depth and extensive research on image recognition, and with the rise of neural networks, the use of deep learning should become the current research trend. In this paper, we use the industry-wide deep learning framework caffe training data set, and the results are deployed to Huawei's latest product, hilens, to obtain the final result through the startup file, and display the image and accuracy.