This is one of many ways to remove tracker markers in Nuke, using Paint.
In short - track the marker and match-move a roto (Paint) to it. In the Shape tab, set the source to foreground and use translate in the Clone tab to offset the background to a clean patch just next to the marker. Key frame the patch throughout the shot if needed.
a coffee script to blend any mocap animated squeleton with IK one . Here the test is made on a Quidam skinned character . This tool blend 2 source squeletons ( IK and Mocap ones ) with a target one ( the Quidam one ).
so you just D&drop the root of each chain into the fields. you adjust the average angles of either the sources on the target or either target on the sources . you define the Nbre of parts into the chains , you lock and here we go , offsets have been recorded .
of course it could look a bit complicated , but it doesn't use any rotation retargeting (local rotations transferts), but use rotation parenting (take into account the position/rotation offsets ), so you can import and use any bone/joint orientation , that's the main goal.
this could not be usefull too if you have only one shot mocap to do (just put manually parent constraint tags that way ) .. but only if you have several mocap animation to do or if you have to mix an IK-mocap animation.
One thing is limiting here is the nbre of parts of each squeleton .. you can't use a "6 spine bones" mocap file with a "4 spine bones" quidam file for example etc .maybe a next update/improvment of this could pay attention to that .
DW// Tutorial - Learn how to use the 'Camera Projection Set' custom scripts for quickly creating camera projections. Set contains two Python scripts for creating a new camera based off of a selected source camera at the current Viewer frame. The scripts work based on the current selection in the DAG: 1 'Camera' node (required) and 1 'img' input node (optional).
Tutorial covers the typical, manual way of creating a camera projection from an existing camera as well as the custom scripts now available.
Python scripts used can be found at the DW Website: