MDE
Versione 1.0.0 (18,9 MB) da
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
Cita come
Brian Park (2024). MDE (https://github.com/robot-park/Monocular-Depth-Estimation/releases/tag/v1.0.0), GitHub. Recuperato .
Compatibilità della release di MATLAB
Creato con
R2023b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS LinuxTag
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Crea script con codice, output e testo formattato in un unico documento eseguibile.
dataset
function/postprocess
function/preprocess
function/training
function/visualize
_simulation
model/net_MDE
Versione | Pubblicato | Note della release | |
---|---|---|---|
1.0.0 |
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.