MDE
Version 1.0.0 (18,9 MB) von
Brian Park
Monocular Depth Estimation for indoor environment with MATLAB
Monocular-Depth-Estimation
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
- Load downloaded dataset and Check
- Design the network using DeepNetworkDesigner
- Train the network using training option in DeepNetwrokDesigner, and then Save the trained network in the directory.
- Load the trained network and test in MATLAB
- Load the network in Simulink and Connect the simulation with Gazebo
Zitieren als
Brian Park (2024). MDE (https://github.com/robot-park/Monocular-Depth-Estimation/releases/tag/v1.0.0), GitHub. Abgerufen .
Kompatibilität der MATLAB-Version
Erstellt mit
R2023b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS LinuxTags
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Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
dataset
function/postprocess
function/preprocess
function/training
function/visualize
_simulation
model/net_MDE
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0 |
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.