This is a project to visualize 3D trajectory data using python and OpenGL. It uses PyOpenGL to direct GPU using OpenGL, and PyQt5 to create a context window for OpenGL graphics.
glTrajectory requires python3.5+. To install the requirements type
pip install -r requirements.txt
You can configure various parameters of the visualization by editing config.json file.
After you are content with the current configuration, simply start running the visualization via
python src/glTrajectory/main.py -c config.json
Currently, the program visualizes a simple circular motion trajectory around origin. You can use your own data producer methods, and visualize the data they produce. To do this, you need to create a function as
def myProducer(t, *args, **kwargs)that takes the current tick count t, and returns the current object position as a
numpy array of size 3. Then, you can pass this function as parameter to
data_producer.DataProducer object, and the rest will be handled. See the
simple example at main.py for further details.
To run the current set of tests, simply run pytest project root directory.
To see the help related to program parameters, type
python src/glTrajectory/main.py