The simplest installation of the package is using Git.
Clone the repository using:
git clone https://github.com/troykollar/ysu_thermography.gitInstall required libraries using (it is recommended, but not neccesary to do this within a virtual environment):
pip install -r requirements.txtNearly all of the functions of the software can be used through both the command line and the GUI.
The file containing functions relevant to the dataset itself is dataset.py. This file generally will not be used directly, but can be used to help debug, as it will show the simplest possible video of the dataset if called directly.
To see all the possible arguments of dataset.py use:
python3 dataset.py -hThe arguments that are related to the dataset are:
temp_data: required
filename (and location) of thermal cam temps file.
mp_data: optional
filename (and location) of merged data file.
top: optional
0 or 1 specifying whether or not to remove top reflections.
bot: optional
0 or 1 specifying whether or not to remove bottom reflections.
scale: optional
int specifying the factor to scale frames by.
range: optional
start,end specifying frame range to use in dataset.These arguments are used for other files wherever they are relevant.
The viewer class has functions for playing and saving videos of the dataset and possible tranformations of the data, as well as the ability to save individual frames of the dataset.
To use the viewer, the viewer.py file will be used.
To see all the possible arguments of viewer.py use:
python3 viewer.py -hThe arguments that are related to the viewer are:
play: optional
int specifying frame delay in ms to play the video using OpenCV.
save: optional
int specifying the framerate to save the video in using OpenCV.
frame: optional
int specifying a frame to save in 16 bit color using matplotlib.
contour: optional
int specifying the threshold to use if drawing a contour.
follow: optional
str specifying what to focus the frame on.
follow = 'max' centers the frame on the max temperature.
follow = 'contour' centers the frame on the center of gravity of the contour (if present).
fsize: optional
int specifying the size of the window when following max temp or contour.
info: optional
'mp' or 'contour' to display an info pane with relevant info above video.These arguments are used for other files wherever they are relevant.
The Composite class has functions for generating and saving composite images.
To use the composite class, the composite.py file will be used.
To see all the possible arguments of composite.py use:
python3 composite.py -hThe arguments that are related to composite.py are:
threshold: optional
int specifying the threshold to be used for the composite image.
dst_folder: optional
str specifying where to save the composite image. Defaults to build folder.
cap: optional
int specifying the max number of frames to use for composite.
max: optional
0 or 1 specifying whether or not to generate a max temperature composite image.
avg: optional
0 or 1 specifying whether or not to generate an average temperature composite image.
int: optional
int specifying threshold to be used to generate a temperature integration composite image.
hotspot: optional
0 or 1 specifying whether or not to generate a hotspot composite image.These arguments are used for other files wherever they are relevant.
Command line functions related to plotting can be done using the pixel_selector.py file.
There are no arguments that relate directly to pixel_selector.py, but there are still other arguments needed (related to the dataset, and composite).
To see all the possible arguments of pixel_selector.py use:
python3 pixel_selector.py -h