New 3D transform algorithm for novel view synthesis.

[kostarion]

• Algorithm that applies 3D camera pose transformation to a frame using meshes/pointclouds.
  Each pixel + corresponding depth is being considered as a point in space. The pointcloud or mesh, composed from composition of neighboring points, is rendered to obtain the final image. Returned inpaint mask is rendered in the same fashion. Type of rendering for image and mask can differ.
• do_prefill parameter for resample methods.

[pharmapsychotic]

• The .pyc files should not be checked in
• do_prefill can be removed and done with a new BORDER_INFILL since we're supporting for all the transform modes. whatcha think?

Made a pass at getting the new messages to match in better with existing messages. How does this look to you?

message RenderMeshParameters {
  float max_mesh_edge = 1;  // Mesh edges longer that this values are discarded
}

message RenderPointsParameters {
  float radius = 1;             // The radius (in NDC units) of each disk to be rasterized 
  uint32 points_per_pixel = 2;  // Number of points to keep track of per pixel
}

message RenderParameters {
  oneof params {
    RenderMeshParameters mesh = 1;
    RenderPointsParameters points = 2;
  }
}

enum CameraType {
  CAMERA_PERSPECTIVE = 0;   // Perspective camera
  CAMERA_ORTHOGRAPHIC = 1;  // Orthographic camera. Well suited for isometric animations
}

message CameraParameters { 
  CameraType type = 1;
  optional float near_plane = 2; // Nearest plane depth of a rendered frustum
  optional float far_plane = 3;  // Farthest plane depth of a rendered frustum
  optional float fov = 4;        // Camera field of view (in degrees). Must be set for CAMERA_PERSPECTIVE type.
}

message TransformCameraPose {
  CameraParameters camera = 1;     // camera projection settings
  TransformMatrix transform = 2;   // 4x4 transform matrix for the next frame
  RenderParameters image_render = 3;
  RenderParameters mask_render = 4;
}

[sonarqubecloud]

Kudos, SonarCloud Quality Gate passed!   

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