eborboihuc Goto Github PK

3d-vehicle-tracking

Please refer to ucbdrive repo for latest update

awesome-computer-vision

A curated list of awesome computer vision resources

bdd_driving_model

bms_v2

A python wrapper of Saliency detector BMS_v2

candymountain

A simple face detection game based on PyGame.

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep360pilot-cvpr17

Official Implementation of CVPR 2017 Oral paper "Deep 360 Pilot: Learning a Deep Agent for Piloting through 360◦ Sports Videos"

deeplearningbook

MIT Deep Learning Book in PDF format

demon

DeMoN: Depth and Motion Network

eborboihuc.github.io

My personal website

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

fsdl-text-recognizer-project

Full Stack Deep Learning Bootcamp Project (Public)

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancements', SIGGRAPH 2017

homework0

homework2-1

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lsd_slam

LSD-SLAM

mono-3dt

Webpage of Joint Monocular 3D Detection and Tracking

monovo

Monocular Visual Odometry

motsfusion

MOTSFusion: Track to Reconstruct and Reconstruct to Track

neural-enhance

Super Resolution for images using deep learning.

opensfm

Open source Structure from Motion pipeline

opentld

C++ implementation of TLD

panorama-to-cubemap

Convert an equirectangular panorama to six cube faces

paper-notes

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix-tensorflow-1

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pydriver

Python framework for training and evaluating object detectors and classifiers in road traffic environment