Andrey Smorodov Smorodov

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Convolutional neural networks for emotion classification from facial images as described in the following work:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/

If you find our models useful, please add suitable reference to our paper in your work.

	// Creating a node graph editor for ImGui
	// Quick demo, not production code! This is more of a demo of how to use ImGui to create custom stuff.
	// Better version by @daniel_collin here https://gist.github.com/emoon/b8ff4b4ce4f1b43e79f2
	// See https://github.com/ocornut/imgui/issues/306
	// v0.02
	// Animated gif: https://cloud.githubusercontent.com/assets/8225057/9472357/c0263c04-4b4c-11e5-9fdf-2cd4f33f6582.gif

	// NB: You can use math functions/operators on ImVec2 if you #define IMGUI_DEFINE_MATH_OPERATORS and #include "imgui_internal.h"
	// Here we only declare simple +/- operators so others don't leak into the demo code.
	static inline ImVec2 operator+(const ImVec2& lhs, const ImVec2& rhs) { return ImVec2(lhs.x+rhs.x, lhs.y+rhs.y); }

	#include <opencv2/core/core.hpp>
	#include <opencv2/highgui/highgui.hpp>
	#include <opencv2/features2d/features2d.hpp>
	#include <opencv2/imgproc/imgproc.hpp>
	#include <opencv2/video/video.hpp>
	#include <iostream>

	using namespace cv;
	using namespace std;