This demo shows how to run a pre-trained neural networks in web-browser. The user would first download the pre-trained style transfer model to local by opening up the webpage. Then everything will get processed locally without accessing any remote resource. The user can then open-up a picture from their hard drive and click "run" to
For any foreigner in the US, when it comes to immigration related issues, there are always a lot of stories to tell. My recent story is about renewing my EAD (work authorization in the US) card. After I sent out my renewal application, I have tried multiple methods to contact USCIS and would like share
I have been working on a robotic project for a while. In this project, we build a robotic wheelchair controlled by head motions. It starts from a commercial powered wheelchair (Titan Front Wheel Drive Power Chair). We took over the control signals, added a number of sensors and wrote some computer vision softwares. It is
*Credits of the scripts go to jamt9000 on github, thanks for the helpful work! You are a deep learning consumer, you have a saved check point you trained with the cuda-convenet. You want to use Caffe to evaluate the trained neural networks on new data possiblely due to the absent of GPU. Hence you need
OpenCV provides quite decent implementation of the Viola-Jones Face detector. A quick example looks like this (OpenCV 2.4.5 tested): // File: main.cc #include using namespace cv; int main(int argc, char **argv) { CascadeClassifier cascade; const float scale_factor(1.2f); const int min_neighbors(3); if (cascade.load("./lbpcascade_frontalface.xml")) { for (int i = 1; i < argc; i++) { Mat img
A piece of fairly simple Matlab script to draw the ROC Curve from an array of scores and an array of labels. function [Tps, Fps] = ROC(scores, labels) %% Sort Labels and Scores by Scores sl = [scores; labels]; [d1 d2] = sort(sl(1,:)); sorted_sl = sl(:,d2); s_scores = sorted_sl(1,:); s_labels = round(sorted_sl(2,:)); %% Constants counts