impreproc

impreproc allows for performing several pre-processing operations on large datasets of images, e.g., acquired by several UAVs photogrammetric flights, in batch mode.

Installation

Clone the repository

git clone https://github.com/franioli/impreproc.git
cd impreproc

Create an anaconda environment and upgrade pip

conda create -n impreproc python=3.9
conda activate impreproc
python3.8 -m pip install --upgrade pip

Install impreproc package and its dependancies by using pip

pip install -e .

Features

The following operations are currently supported:

• read DJI .mrk file, extract the GPS coordinates of the images and their accuracy in batch mode, and save them in a .csv file together with the exif data.
• GUI for the .mrk file reader
• rename images in batch mode based on a custom defined pattern (e.g., %BASE_NAME%_%DATE%_%TIME%.%EXT%)
• perform raw conversion in batch mode and recursively in subfolders by using rawtherapee software
• organize files recursively in a directory tree, subdividing them in subfolders based on their extensions
• make CRS conversion with pyproj
• make previews images for Potree
• implement geodetic height correction
• make time-laspe videos from image sequence

Getting Started

To get started with impreproc, you can refer to the documentation at https://franioli.github.io/impreproc/ or use the Jupyter notebooks available in the notebook folder.