video2panorama is a Python-based tool designed to transform video sequences into panoramic images. It automates the stitching process by analyzing frames from input video files and producing panoramic outputs.
1. install with pip
For users who want to install the package directly from PyPI:
pip install video2panorama2. Cloning the repo and installing locally
For those who prefer to work with the latest code or contribute to the project, you can clone the GitHub repository and install it locally.
Clone the repo:
git clone https://github.com/RaduBolbo/video_to_panorama.gitNavigate into the cloned directory:
cd video_to_panoramaCreate a conda environemnt:
conda create --name v2p python==3.10Activate the conda environemnt:
conda activate v2p Install the package:
pip install .2. Using the terminal
Run the following command in the teriminal:
video2panorama --input_path path/to/your/video.mp4 --output_path path/to/the/output/panoramic_image.pngAdditionally, if you want to try other hyperparameters, you can include them in a .json file whos path you can send as option:
video2panorama --input_path path/to/your/video.mp4 --output_path path/to/the/output/panoramic_image.png --hyperparameters_path path/to/your/config/file.jsonThe config file should have the following format:
{
"feature_extraction_algo" : "sift",
"ratio" : 0.75,
"reprojectionThresh" : 2,
"adaptive_shift_pixels" : 2,
"non_dominant_direction_pixels_freedom_degree" : 0
}The hyperparameters are explained in this section
2. Using the Python Api
from video2panorama.panorama import Video2Panorama
tts = Video2Panorama()
tts.convert('path/to/your/video.mp', 'path/to/the/output/panoramic_image.png')If you want to overwrite the default parameters you can specify them in the constructor:
tts = Video2Panorama(feature_extraction_algo="sift",
ratio=0.75,
reprojectionThresh=2,
adaptive_shift_pixels=2,
non_dominant_direction_pixels_freedom_degree=0
)Under development


