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The OpenDR (or Open Differentiable Renderer) can be used for rendering and optimisation to image evidence:
- Rendering is achieved by constructing and initialising one of the renderers available in OpenDR.
- Optimization is achieved by minimising an objective that includes one or more renderers.
OpenDR is designed to be concise: it should not take many lines of code to construct a scene and optimize it towards image evidence. The technical details of its operation were published in the European Conference on Computer Vision in 2014.
OpenDR is currently unit-tested on OS X and Ubuntu. Instructions specific to those platforms are as follows:
- Apple OS X instructions (OS version 10.9)
- Ubuntu instructions (OS version 14.04)
OpenDR includes sample scripts, which can be seen by typing the following:
import opendr
opendr.demo() # prints out a list of possible demos
The following prints and executes the code for illuminating of a sphere mesh with one point light source. Click here for a step-by-step explanation of the code used in this demo.
import opendr
opendr.demo('point_light')
The following prints and executes the code for optimizing a texture-mapped mesh of earth to image evidence.
import opendr
opendr.demo('optimization')