Welcome to the home of Python Matplotlib Helper Functions – your one-stop repository for essential Python tools designed to enhance your plotting experience with Matplotlib. Here, we believe in the power of collaboration and community-driven development. Our goal is to curate a diverse collection of handy functions that cater to various scenarios, making data visualization effortless and enjoyable for everyone. We encourage all enthusiasts, like yourself, to actively participate and contribute their own valuable additions. Together, let's build a comprehensive library of useful helpers that will empower users to create stunning visualizations with ease. Don't hesitate to join us in this exciting journey of empowering Pythonistas and data enthusiasts alike! © 2023 ChatGPT, All Rights Reserved. Unauthorized copying or potion brewing is strictly prohibited and may result in severe hexes and curses! 🧙♂️🚫🧪✨
"Disclaimer: The copyright notice above is meant to add a touch of whimsy and fun to our repository. While we do take the protection of intellectual property seriously, we don't intend for the notice to be legally binding. Enjoy our magical world of Matplotlib Helper Functions responsibly and unleash your creativity!"
Helper function to plot pose as coordinate system with orientation, like plot Camera Pose calculated in OpenCV. Something one often needs when debug plotting calculated poses.
find it in 3D_pose_plot
plotPose(ax, R, t, scale = np.array((1,1,1)), l_width=2, text = None) plot an coordinate system to visualize Pose (R|t)
ax : matplotlib axes to plot on
R : Rotation as roation matrix
t : translation as np.array (1, 3)
scale : Scale as np.array (1, 3)
l_width : linewidth of axis
text : Text written at origin
Helper function to plot an image in 3D scatter plot with matplotlib. This can be used to visualize some images taken with given pose. Watch out, since surface_plot is used each pixel needs own face in surface, which makes it very ineffective for large images. If you got a better solution please add, I did not find anything better in matplotlib.
find it in 3D_pose_plot
plotImage(ax, img, R, t, size=np.array((1, 1)), img_scale=8): plot image (plane) in 3D with given Pose (R|t) of corner point
ax : matplotlib axes to plot on
R : Rotation as roation matrix
t : translation as np.array (1, 3), left down corner of image in real world coord
size : Size as np.array (1, 2), size of image plane in real world
img_scale: Scale to bring down image, since this solution needs 1 face for every pixel it will become very slow on big images
