1. A method of assessing video performance analysis comprising: with a camera, acquiring a first set of real-world data including a video sequence, the video sequence including visual components and objects; with at least one sensor, automatically generating a second set of real-world data including a set of physical measurements for the objects and visual components of the video sequence; with a computer graphics engine, cloning the first and second sets of real-world data in a virtual world, comprising: decomposing the visual components and objects in the video sequence of the first set of real-world data into at least one object category, populating the virtual world with virtual visual components and virtual objects, generating a script for controlling the virtual visual components and the virtual objects in the virtual world based on the acquired visual components and objects in the first set of real-world data and the automatically generated set of physical measurements for the objects and visual components in the second set of real-world data, and generating a synthetic clone of the video sequence based on the script for controlling the virtual visual components and the virtual objects; generating a set of ground truth annotations for the virtual objects in the synthetic clone; comparing the real-world data with the synthetic clone of the video sequence; and assessing a transferability of conclusions from the virtual world to the real-world based on the comparison of the real-world data with the synthetic clone of the video sequence.