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https://www.closeuphotography.com/50-dollar-componon-vs-mitutoyo-objective
What if you could find a lens for less than $100 that could produce image quality as good as a microscope objective
https://theasc.com/articles/sphere-and-the-big-sky-camera
Sphere is a 516′-wide, 366′-tall geodesic dome that houses the world’s highest-resolution screen: a 160,000-square-foot LED wraparound that fills the peripheral vision for 17,600 spectators (20,000 if standing-room areas are included). The curved screen is a 9mm-pixel-pitch, sonically transparent surface of LED panels with 500-nit brightness that produce a high-dynamic-range experience. The audience sits 160′ to 400′ from the screen in theatrical seating, and the screen provides a 155-degree diagonal field of view and a more-than-140-degree vertical field of view.
The image on the screen is 16K (16,384×16,384) driven by 25 synchronized 4K video servers.
https://nofilmschool.com/darren-aronofsky-sphere-camera
Cross section:
https://builds.magiclantern.fm/
Supported cameras:
5D Mark II, 5D Mark III, 6D, 7D, 50D, 60D, 500D/T1i, 550D/T2i, 600D/T3i, 650D/T4i, 700D/T5i, 1100D/T3, EOS M.
Example features:
Capitalism is the root cause of our ecological crisis and the key barrier to solving it.
There are two reasons for this. Firstly, capitalism cannot exist without economic growth, and economic growth is the main reason why our emissions have been increasing over the last 30 years and further growth will make it impossible to decarbonise in time to avoid activating tipping points.
Secondly, our minds have been shaped by capitalism and it is stopping us from seeing both the role capitalism plays in the cause of climate change and the full scope of solutions available to address the crisis. Social psychologist, Professor Harald Welzer, sums this up well, describing economic growth of industrial societies as “enshrined in business and politics, but also in the psychological structure of the people who grow up in such societies.”
https://erinremblance.substack.com/p/decapitalising-our-minds-the-key
There are six key ways in which capitalism shapes our minds. Under capitalism we, collectively, believe:
This ‘capitalisation’ of our minds creates a barrier to solving the climate crisis in many ways, including:
Unsurprisingly, the mindset we need to address the climate crisis is the exact opposite of the mindset described above.
Intel Open Image Denoise is an open source library of high-performance, high-quality denoising filters for images rendered with ray tracing. Intel Open Image Denoise is part of the Intel® oneAPI Rendering Toolkit and is released under the permissive Apache 2.0 license.
The purpose of Intel Open Image Denoise is to provide an open, high-quality, efficient, and easy-to-use denoising library that allows one to significantly reduce rendering times in ray tracing based rendering applications. It filters out the Monte Carlo noise inherent to stochastic ray tracing methods like path tracing, reducing the amount of necessary samples per pixel by even multiple orders of magnitude (depending on the desired closeness to the ground truth). A simple but flexible C/C++ API ensures that the library can be easily integrated into most existing or new rendering solutions.
At the heart of the Intel Open Image Denoise library is a collection of efficient deep learning based denoising filters, which were trained to handle a wide range of samples per pixel (spp), from 1 spp to almost fully converged. Thus it is suitable for both preview and final-frame rendering. The filters can denoise images either using only the noisy color (beauty) buffer, or, to preserve as much detail as possible, can optionally utilize auxiliary feature buffers as well (e.g. albedo, normal). Such buffers are supported by most renderers as arbitrary output variables (AOVs) or can be usually implemented with little effort.
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