abeerraj Goto Github PK

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abeerraj's Projects

ip_basic

Image Processing for Basic Depth Completion

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

learned-correspondence-release

Code release for "learning to find good correspondences" CVPR 2018

matchinglib_poselib

Framework for fast feature matching and accurate continious relative stereo pose estimation

mlpdepthmap

Dense depth map estimation using stereo geometry, segmentation and MLP

models

Models and examples built with TensorFlow

mono_dense_orb_slam2

This repository is based on[RGBD_ORB_SLAM2_RT] (https://github.com/chaizheng2157/RGBD_ORB_SLAM2_RT). My main contribution is to use depth prediction instead of RGBD camera.

mono_velocity

A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera'.

monoculardepth-inference

Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer."

multilayer-stixel

An implementation of multi-layered stixel computation based on stereo vision

nearest_neighbor_depth_completion

Nearest neighbor depth completion

nyu-depth-v2-tools

Tools used in [2] to pre-process the ground truth segmentations to evaluate superpixel algorithms.

nyu_depth_v2_extractor

Simple Tool To Extract nyu_depth_v2_labeled.mat

obstacle-avoidance-of

LabVIEW code for obstacle detection and avoidance using optical flow

opencv-markerless-ar-mobile

Markless AR transplanted to iOS and Android based on takmin's code. http://meiroo.github.io/projects#ar

opencv_stereo_test

keyword: opencv stereo camera calibration rectification triangulation

optical-flow

This repository is for my article "Introduction to Motion Estimation with Optical Flow" published with Nanonets.

optical-flow-1

Implementing the Lucas Kanade algorithm to compute the optical flow between images and using it to detect, segment and track objects in videos.

optical-flow-filter

A real time optical flow algorithm implemented on GPU

optical-flow-segmentation

segment optical flow file with meanshift

optimal-triangulation

Correct keypoint matches with fundamental matrix constraint

patchmatchstereo

PatchMatchStereo立体匹配算法完整实现，代码规范，注释丰富且清晰，CSDN同步教学

planarsegmentation

Segmentation of a video frame into ground and upright objects using sparse and dense optical flow techniques in OpenCV.

ppm

PatchMatch algorithms for motion estimation and stereo reconstruction

A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.

abeerraj Goto Github PK

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