Data Visualization in Blender

Partly prompted by a post on blender.stackexchange about what options are available to visualize data, with the emphasis on scientific visualization. The next few posts will be about data visualization in Blender. Examining what methods are available and what needs to be written.

It made sense to start a repository of visualization scripts, here is BlenderSciViz

sample topic.

2d Overlays onto rendered geometry

This gets 2d pixel position of 3d coordinates seen by a camera and corresponding distance to lens.

	import bpy
	from bpy_extras.object_utils import world_to_camera_view
	scene = bpy.context.scene
	# needed to rescale 2d coordinates
	render = scene.render
	res_x = render.resolution_x
	res_y = render.resolution_y
	obj = bpy.data.objects['Cube']
	cam = bpy.data.objects['Camera']
	verts = (vert.co for vert in obj.data.vertices)
	coords_2d = [world_to_camera_view(scene, cam, coord) for coord in verts]
	# find min max distance, between eye and coordinate.
	rnd = lambda i: round(i)
	rnd3 = lambda i: round(i, 3)
	limit_finder = lambda f: f(coords_2d, key=lambda i: i[2])[2]
	limits = limit_finder(min), limit_finder(max)
	limits = [rnd3(d) for d in limits]
	print('min, max\n{},{}'.format(*limits))
	# x, y, d=distance_to_lens
	print('x,y,d')
	for x, y, d in coords_2d:
	print("{},{},{}".format(rnd(res_x*x), rnd(res_y*y), rnd3(d)))

view raw spastica.py hosted with ❤ by GitHub

Here a live version for chrome, using d3.js and svg
Made a first few overlays in this post: