Deep Learning has been used in a variety of problems with state-of-the-art results. This time, we tried to create a deep Convolutional Neural Network (CNN) able to diagnose cancer.Continue reading "Cancer Detection with Deep Learning"
In this post, we are going to show you a few examples about SSD (object detection) and object tracking and discuss a question: "Is SSD able to do object tracking?". If no, what may possibly cause its failing? We compare the detection result with and without using tracking. Hope we can give you some intuitions on both.Continue reading "Is SSD able to do object tracking?"
This post demonstrates the Single Shot Multibox Detector(SSD) result on PC and FPGA. We will go over the key features of SSD and hope you can grasp the big picture of SSD after reading this post.Continue reading "SSD Multibox Detection Running on FPGA (DV500/DV700)"
Stixel is a Medium-level representation of images on traffic scenes, indicating free space, the obstacles ahead and their approximate depth. Usually a stereo image pair is needed to compute the Disparity (Depth) Map. In this post, we introduce a way of computing the Stixels using ONLY a single Monocular Images with a Deeping-Learning manner.Continue reading "Stixel from Single Monocular Images"