video2panorama 1.0.1

A package to convert video sequences into panoramic images

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video2panorama

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.

How to install

1. install with pip

For users who want to install the package directly from PyPI:

pip install video2panorama

2. 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.git

Navigate into the cloned directory:

cd video_to_panorama

Create a conda environemnt:

conda create --name v2p python==3.10

Activate the conda environemnt:

conda activate v2p 

Install the package:

pip install .

How to use

2. Using the terminal

Run the following command in the terimanl:

video2panorama  --input_path path/to/your/video.mp4 --output_path path/to/the/output/panoramic_image.png

Additionally, if you wantto try other hyperparameters, you can include them in a .json file whos path you can send to the comman:

video2panorama  --input_path path/to/your/video.mp4 --output_path path/to/the/output/panoramic_image.png --hyperparameters_path path/to/your/config/file.json

The 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 ****

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
                    )