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C++, CUDA and Python implementations of Pointcloud rendering with heterogeneous pointclouds. Exposed via Rasterizer, Renderer and Compositor Pytorch Classes with 3 types of Compositors available. A jupyter notebook tutorial has also been added.
Umeyama - estimate a rigid motion between two sets of corresponding points. | e5b1d6d
unproject_points function to convert from screen to world coordinates | 365945b
look_at_transform update to enable specifying the eye (camera center) directly | 2480723
Transforms3D update to allow init of Transforms3D class with a custom matrix | 90dc7a0
Mesh Rendering update to enable back face culling in rasterization - this is available as a cull_backfaces boolean setting in raster_settings | 4bf3059
Mesh loading - update to load_obj to support loading textures as per face textures [following the approach from SoftRasterizer]. There is a new boolean argument called 'create_texture_atlasfor theload_obj` function to enable this | c9267ab
join_meshes_as_batch method to create a batch of meshes from a list of Meshes objects | b64fe51