I have been trying to add 3d images to face mesh. WHere can I find to put the 3d images instead of face mesh.
Few weeks ago when I was preparing the dataset, the visualization of MNIST images were in gray-scale even with out using cmap='Greys'. But now the images are displayed in different color if cmap is not used(image shown below).
So I am a bit confused on whats going on.
Is it normal? if not what can I do to bring the images to their normal form?
Preview of the visualization
I have a 3d cube model that is rendered with multiple images similar to [this] tutorial.
When I click on a point in the 3d model I want to get the image that corresponds to the face of the selected point.
Is this possible?
Thanks
I want to create a contour plot with matlibplot and generate a shapefile from it so that I can use it in QGIS to display it.
Though it is possible to plot a map with matplotlib and then overlay with my contour plot, the choices of map sources are limited. It would be easier to export the contour plot in a shapefile and loaded in QGIS with a customized map.
Thanks!
There is a contour plugin available in QGIS, and it is based on the contouring functions of matplotlib. It's still a little bit buggy but hopefully that will be corrected in the future.
I am using matplotlib for visualisation. I need 3d visualisation and also the animations in my visualisation. I have searched about the 3d visualisation and animation in matplotlib but get nothing useful information. Is it possible or not to use matplotlib for 3d visuallisation and animations. What are the links that I can study about it ?
Animation and 3D plot are available on mplot3d library. Take a look at wire3d_animation and mayavi Animation.
Here is what I, probably most of people, use for python numpy plotting.
For 2D figure plotting, use matplotlib.
For 3D surface and volume plotting, use mayavi.
Both of them come with their own approaches of animating plots. Nevertheless, moviepy is a great alternative approach.