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depth-map-prediction

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

detector

Detector by pytorch

dfusmc

Depth from Uncalibrated Small Motion Clip

dmtcp

DMTCP: Distributed MultiThreaded CheckPointing

dotx

:gem: Simple & Beautiful Jekyll theme

e200_opensource

The Ultra-Low Power RISC Core

easyar

easyocr_ros

ros package for easyocr

easypr

An open source project for Chinese plate recognition in unconstrained situation. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

ed_lib

Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.

espnet

End-to-End Speech Processing Toolkit

extended-berkeley-segmentation-benchmark

Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

eyescream

natural image generation using ConvNets

face-alignment-in-3000fps

a c++ implementation of face alignment in 3000fps

face-detector-1mb-with-landmark

1M人脸检测模型(含关键点)

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

face_recog.src

face recognition via Sparse Representation-based Classification (SRC)

facecept3d

FaceCept3D: 3D Face Analysis and Recognition

facedetection_cnn

Multi-view Face Detection Using Deep Convolutional Neural Networks

fast-rcnn

Fast R-CNN

faster-ctpn

very fast CTPN

fasttext

Library for fast text representation and classification.

fbpca

Fast Randomized PCA/SVD

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

feature-extraction

Computer vision feature extraction toolbox for image classification

fifo

A simple IPC example using named pipe.

flyinggh.github.io

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