The primary goal of physically-based rendering (PBR) is to create a simulation that accurately reproduces the imaging process of electro-magnetic spectrum radiation incident to an observer. This simulation should be indistinguishable from reality for a similar observer.
Because a camera is not sensitive to incident light the same way than a human observer, the images it captures are transformed to be colorimetric. A project might require infrared imaging simulation, a portion of the electro-magnetic spectrum that is invisible to us. Radically different observers might image the same scene but the act of observing does not change the intrinsic properties of the objects being imaged. Consequently, the physical modelling of the virtual scene should be independent of the observer.
In short, it says that consciousness arises when gravitational instabilities in the fundamental structure of space-time collapse quantum wave functions in tiny structures called microtubules that are found inside neurons – and, in fact, in all complex cells.
In quantum theory, a particle does not really exist as a tiny bit of matter located somewhere but rather as a cloud of probabilities. If observed, it collapses into the state in which it was observed. Penrose has postulated that “each time a quantum wave function collapses in this way in the brain, it gives rise to a moment of conscious experience.”
Hameroff has been studying proteins known as tubulins inside the microtubules of neurons. He postulates that “microtubules inside neurons could be exploiting quantum effects, somehow translating gravitationally induced wave function collapse into consciousness, as Penrose had suggested.” Thus was born a collaboration, though their seminal 1996 paper failed to gain much traction.
RIFE is a powerful frame interpolation neural network, capable of high-quality retimes and optical flow estimation.
This implementation allows RIFE to be used natively inside Nuke without any external dependencies or complex installations. It wraps the network in an easy-to-use Gizmo with controls similar to those in OFlow or Kronos.
Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. It is freely available under the BSD-3-Clause terms.
To measure the contrast ratio you will need a light meter. The process starts with you measuring the main source of light, or the key light.
Get a reading from the brightest area on the face of your subject. Then, measure the area lit by the secondary light, or fill light. To make sense of what you have just measured you have to understand that the information you have just gathered is in F-stops, a measure of light. With each additional F-stop, for example going one stop from f/1.4 to f/2.0, you create a doubling of light. The reverse is also true; moving one stop from f/8.0 to f/5.6 results in a halving of the light.
