mrgloom Goto Github PK

face_morpher

Morph faces with Python OpenCV, Numpy, Scipy

facex

Geometrical Face Features Extraction

facex-1

A high performance open source face landmarks detector, based on explicit shape regression algorithm.

fast-rcnn

Fast R-CNN

fastannotationtool

A tool using OpenCV to annotate images for image classification, optical character reading, ...

fastcluster

A library for fast, distributed clustering

faster-rnnlm

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

faster_rcnn

Faster R-CNN

fasthog

FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04

fbpca

Fast Randomized PCA/SVD

fd-evaluation

Compact CNN cascade for face detection

fddb

fddb-dataset-evaluation

FDDB Dataset Evaluation

fddb-evaluation

FDDB Evaluation Software

fer2013

https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data

fest

Fast Ensembles of Sparse Trees

ffld

Charles Dubout's Accelerated Deformable Part Model

ffld2

Charles Dubout's Training of 2D and 3D Deformable Part Models

fgs-obj

Object detection demo: Fine-grained search (FGS) + StructObj

fhog_pyramid_detect

flandmark

Open-source implementation of facial landmark detector

flashpca

flattened-cnn

Flattened convolutional neural networks (1D convolution modules for Torch nn)

fourier_analysis_digital_images

The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase. Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF. The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase. Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF. The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase. Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF. The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase.Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF.

freak

FREAK: Fast Retina Keypoint

frml

Code for Fast Ranking via Metric Learning

fully-convolutional-example

fv-cnn-face

Dense-CNN features on faces

gan-related-list

gaze-text-detection

Text detection in natural scene images using the Stoke Width Transform.