This repository contains code for Visual Odometry. The project is structured as follows:
- app: Source code for the Visual Odometry application.
- Dockerfile: Docker configuration file for containerization.
- pytorch_cuda_kurulum_komutu.txt: Commands for installing PyTorch with CUDA support.
- requirements.txt: List of Python dependencies for the project.
To get started with Visual Odometry, follow these steps:
-
Clone this repository to your local machine:
git clone https://github.com/bonj4/Visual-Odometry.git cd Visual-Odometry python VisualOdometry.py
-
Review the contents of
pytorch_cuda_kurulum_komutu.txt
for PyTorch installation commands, especially if you are using a GPU. -
Build the Docker image (if applicable):
docker build -t visual-odometry .
-
Run the Visual Odometry application:
python app/main.py
If you prefer to run the application in a Docker container, follow the steps in the Dockerfile and build the Docker image as mentioned in the Getting Started section.
Ensure you have the required dependencies installed. You can install them using:
pip install -r requirements.txt