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DemingWang's Projects

kaolin icon kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

keras-yolo2 icon 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).

latentfusion icon latentfusion

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mediapipe icon mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

ml_2017fall icon ml_2017fall

Machine Learning class at Ohio University 2017 Fall

morefusion icon morefusion

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion

mp_gan icon mp_gan

Source code for "Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks"

mvision icon mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

mvpose icon mvpose

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

nerf icon nerf

Code release for NeRF (Neural Radiance Fields)

nerf_pl icon nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

nocs_cvpr2019 icon nocs_cvpr2019

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras

nol icon nol

An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images

objectdatasettools icon objectdatasettools

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

occo icon occo

code for "OcCo: Occlusion Completion for Point Cloud Pre-Training"

opencv-wrapper-egbis icon opencv-wrapper-egbis

OpenCV C++ wrapper around "Efficient Graph-Based Image Segmentation algorithm" developed by Pedro F. Felzenszwalb and Daniel P. Huttenlocher.

physim-dataset-generator icon physim-dataset-generator

generate physically realistic synthetic dataset of cluttered scenes using 3D CAD models to train CNN based object detectors

physimglobalpose icon physimglobalpose

C++ implementation for search based 6d pose estimation of objects in clutter.

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