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zengzhen's Projects

bleak icon bleak

Bluetooth Low Energy platform Agnostic Klient for Python

caffe-segnet icon caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-segnet-cudnn5 icon caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

generative_inpainting icon generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

image_transformer icon image_transformer

Pytorch implementation of the image transformer for unconditional image generation

impress.js icon impress.js

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

libicp icon libicp

customized version of libicp: http://www.cvlibs.net/software/libicp/

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

palmar_reflex icon palmar_reflex

Enables Baxter to close its gripper when break beams detect a break

posecnn icon posecnn

A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

progress-web-vis icon progress-web-vis

Web visualization of 3D point cloud as robot navigates in real world mapped by 2D occupancy grid

segnet-tutorial icon segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

srvp icon srvp

Official implementation of the paper Stochastic Latent Residual Video Prediction

sublimebullet icon sublimebullet

This is a Sublime Text plugin for markdown style Bullet points and Number lists. It automatically add * and - for unordered lists, > for blockquotes, and numbered items for number lists.

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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