Recently, I am working on a prototype which requires to use OpenGL to process the streams from Camere and save the processed results to a Video. Thus the overall pipeline is that:
Patrick Toomey has posted a document on some low-friction ways to reduce risk in your software projects. Those methods are based on his 5 years of experience in application security, many security issues and associated data disclosures are the result of technically unsophisticated attacks.
Intel has been working hard to optimizing the popular deep learning frameworks, e.g., TensorFlow and Caffe, on (Intel) CPUs. Their work has reduced the performance gaps between CPU and GPU from about
Feifei Li has published their work on how to have the robot learn to pick and place the objects by itself. The paper is available at arxiv.
Remember Style transfer with Convolutional Nerual Network, lllyasviel has developed a software for automatically coloring the sketches base on an exampler image. The software is based on convolution neural network.
In this post, I will introduce several deep learning package which can be delpoyed to mobile platforms.
Java 9 has been release. Let’s check the most important updates: