57 Open source projects that are alternatives of or similar to zed-pytorch

ZED Viewer for Oculus Rift

Real-time 3D multi-person with OpenPose and the ZED

ROS 2 wrapper beta for the ZED SDK

ZED SDK interface sample for Matlab

Cell Detection with PyTorch.

Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

TensorFlow implementation of DispNet by Zhijian Jiang.

Attempting to create a program capable of combining stereo video input , with motors and other sensors on a PC running linux , the target is embedded linux for use in a robot!

Stereolabs ZED - UE4 Examples

Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16 + pretrained weights + implementation of "Unsupervised Adaptation for Deep Stereo" (ICCV 2017)

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

Semi-Global Matching

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

No description or website provided.

open Multi-View Stereo reconstruction library

A curated list of papers & resources linked to 3D reconstruction from images.

Trifo Ironsides SDK

ROS node to create pointcloud out of stereo images from the KITTI Vision Benchmark Suite

This repo contains C++ code for sparse scene flow method.

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

Stereo vision based object detection for ADAS, autonomous vehicle

Lightweight stereo matching network based on MobileNet blocks

Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision

A stereo matching framework that will help you design your stereo matching pipeline with state of the art performances.

Real-time binocular stereo vision FPGA system with OV5640 cameras

Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17

The PatchMatch stereo match algorithm implemented by CUDA.

DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)

A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping

Stereo Camera Calibration Under Different Resolution

Reconstructs a 3D stripe on the area of an object on which a laser falls as seen by the camera

Tools accompanying the 3D60 spherical panoramas dataset

Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching

GStreamer source plugin for ZED Cameras

OpenMMLab Detection Toolbox and Benchmark

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

A sample project to build a custom Mask RCNN model using Tensorflow object detection API

Reference implementation of "Faster Training of Mask R-CNN by Focusing on Instance Boundaries"

Train a Mask R-CNN model with the Tensorflow Object Detection API

SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)

No description or website provided.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Fashion Item segmentation with Mask_RCNN

Fish instance segmentation using Mask-RCNN

DCIC 钢筋数量AI识别 baseline 0.98+。

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Real time instance segmentation with Mask R-CNN, live from webcam feed.

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Open solution to the Google AI Object Detection Challenge 🍁

The implementation for the AutoSweep (TVCG 2018)

Simple mmdetection CPU inference