droneframe 0.1.1

Extract frames from drone footage along with their EXIF data.

Droneframe

A simple CLI tool to extract frames from drone footages with EXIF data included.

Installation

You can install DroneFrame from either from PyPI using pip or directly through GitHub releases.

Pip

$ pip install droneframe

GitHub

Install From Source

$ git clone https://github.com/anwaraliahmad/droneframe.git
$ cd droneframe 
$ pip install

Install From Release

1. Navigate to releases page
2. Download either .tar.gz or .whl
3. Navigate to your download

$ pip install droneframe-version.<tar.gz or whl>

Running

Arguments

Argument/Option	Description	Flags	Default	Required
video	Path to drone video file (.MP4)			Yes
meta	Path to metadata file (.SRT)	-m, --meta	Same pathname (sans file extension) as video	No
frame_rate	The rate for frame extraction	-f, --frame_rate	30	No (but highly recommended)
output	Target path to output folder (will generate a folder named after the video file there)	-o, --output	Working directory	No
Help	Display help message	-h, --help

Example: Photogrammetry

Process

1. Use droneframe to get frames filled with GPS & timestamp data.

$ droneframe path/to/DJI_001.MP4 -f 3 # Large drone video of subject.

2. Import the generated ./DJI_001 folder into your photogrammetry software of choice.
3. Enjoy your 3D recreation.

If constraints permit, you can always extract more with a higher framerate or generate an additional batch of frames from another video you have of the target.

End Result

<iframe title="Abandoned Railyard Flue" frameborder="0" allowfullscreen mozallowfullscreen="true" webkitallowfullscreen="true" allow="autoplay; fullscreen; xr-spatial-tracking" xr-spatial-tracking execution-while-out-of-viewport execution-while-not-rendered web-share src="https://sketchfab.com/models/3c92d642af34444dadc83f1d2d0dd07d/embed"> </iframe>

Abandoned Railyard Flue by anwaraliahmad on Sketchfab

This is a model of an abandoned structure that was created by running droneframe and uploading the resulting frames onto WebODM Lightning for 3D reconstruction.

License

This project is licensed under the MIT License. See the LICENSE file for details.