MDE

版本 1.0.0 (18.9 MB) 作者: Brian Park
Monocular Depth Estimation for indoor environment with MATLAB
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更新时间 2023/7/28
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Monocular-Depth-Estimation

View MDE(Monocular Depth Estimation) on File Exchange

Monocular Depth Estimation for indoor environment with MATLAB

This repository contains the MATLAB project which computes depth map from a single image and transforms into point cloud.

Installation

Download ZIP file and run main script

    run('main.mlx');

Run training script only for training network

    run('train_net.mlx');

Dataset not included. Download NYU v2 dataset

Dependencies

MATLAB

  • Deep Learning Toolbox
  • Computer Vision Toolbox

Simulink

  • Robotics System Toolbox
  • Automated Driving Toolbox
  • PackageGazeboPlugin (from Gazebo Simulation Environment Requirements and Limitations )

Device

  • Ubuntu® Ubuntu 20.04.3 LTS (Focal Fossa)
  • CMake 3.16.3, Gazebo 11, and the Gazebo plugin

Usage

  1. Load downloaded dataset and Check
  2. Design the network using DeepNetworkDesigner
  3. Train the network using training option in DeepNetwrokDesigner, and then Save the trained network in the directory.
  4. Load the trained network and test in MATLAB
  5. Load the network in Simulink and Connect the simulation with Gazebo

引用格式

Brian Park (2024). MDE (https://github.com/robot-park/Monocular-Depth-Estimation/releases/tag/v1.0.0), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2023b
兼容任何版本
平台兼容性
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dataset

function/postprocess

function/preprocess

function/training

function/visualize

_simulation

model/net_MDE

版本 已发布 发行说明
1.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。