kurnianggoro

name: "Attention-56"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224

layer{
	name: "conv1"
	type: "Convolution"

kurnianggoro

[Facemark API for OpenCV][pull_request]

Student: Laksono kurnianggoro
Mentor: Delia Passalacqua
Link to commits: https://github.com/opencv/opencv_contrib/pull/1257/commits
Link to codes: https://github.com/opencv/opencv_contrib/pull/1257/files

Introduction

Facial landmark detection is a useful algorithm with many possible applications including expression transfer, virtual make-up, facial puppetry, faces swap, and many mores. This project aims to implement a scalable API for facial landmark detector. Furthermore, it will also implement 2 kinds of algorithms, including active appearance model (AAM) [1] and regressed local binary features (LBF) [2].

kurnianggoro

@startuml{output.png}

package "Facemark package" #DDDDDD {
    class Algorithm

    class Facemark{
        
        +virtual void read( );
        +virtual void write( );
        

kurnianggoro

#include <stdio.h>
#include <opencv2/opencv.hpp>
#include <opencv2/face.hpp>

#include <iostream>

using namespace std;
using namespace cv;

bool getFaces( const Mat image, std::vector<Rect> & faces );

kurnianggoro

'''
Problem Descriptions:
https://gym.openai.com/envs/FrozenLake-v0
The agent should move to the goal position (G) from starting point (S) safely

environment is 4x4 grid of blocks, 
F means frozen (safe), H means hole (unsafe)
example: 

SFFF