Presented with "A 5-year old asks: The Sun is a big hot ball. With colorful thermal IR images of ears as radiators, and false-color images of skin parasite distribution (thus mud baths) and so on. Now imagine a traveling exhibit on elephants. Years ago, NASA did a traveling museum exhibit on the Sun with lots of colorful images, but not a single white Sun. Would it seem odd to suggest adding a true-color visible-light photo? What if the authors color graded such a photo to hide a less marketable, say greenish cast? Imagine an article about a newly energy-efficient light bulb, which included only false-color thermal and near IR images - "Look, less waste heat and wasted light!". My overall thought here though is.> does not really mean much here impossible to directly observeĪs misconceptions are common around the Sun, sunlight, and colour, it can be helpful to crosscheck concepts by swapping the Sun for a more familiar object: a light bulb, display, wall, shirt, or elephant. Personally, as an experienced Topaz user for the past year, I'm in your camp - regardless of it being awarded APOD & other accolades, I'm firmly convinced that there is a mix of professional and amateur data blended here and attempt has been made to mask this in processing. Initially the image was called out, but some have rallied to the photographers' defence suggesting this is result of extensive overuse of Topaz in processing. I'm one of the IOTD judges on Astrobin, and there was a lengthy discussion about this image behind the scenes. While there are no prohibitions to over processing, in a contest environment my hope is the judges will spot the difference without much fuss and consider works more deserving. I have yet to see any 80mm telescope, even with the best AI sharpening, out-resolve a 0.5 metre class instrument. Rest assured if there is a dollar to be had, there will also be those who will cheat to get it. He even suggested having a new category: best fake. One would hope if entered into a contest the judges would spot such clumsy efforts and cull them accordingly.ĭavid Malin is a master at this, but even he admitted the "fakes" are getting better and more difficult to spot. There is also a good deal plain an simple plagiarism that goes on with images posted on the web.Īmazing how the object of interest has Hubble like details but the rest of the field is filled with low resolution blobs and the poster is too dim to realize their dodgy image is shouting out : "this is a fake" I know this has probably been discussed ad nauseam, but I couldn't seem to find any specific discussion, and I just want to hear what other people think How is it fair to compare data taken with a 24" Planewave to an 80mm refractor that is 'sharper' purely because of AI in a competition setting? I understand the general debate about whether Astrophotography more science or art, but I think this is a specific case where this distinction matters. Should people explicitly disclose when these algorithms are used, if submitting them to APOD or competitions? Should there be separate categories for AI sharpened data? I am interested in your thoughts about the use of these algorithms in astrophotography.Īt what point do our image processing algorithms change from manipulating information that is already within the data, to generating information that was never there? After seeing some impossibly sharp images on APOD and Astrobin IOTD recently, I asked around and found out that the trick behind them is Topaz Denoise AI and Sharpen AI.
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If you’ve played Project CARS 2, then the car physics in the third game will be instantly familiar, although they’ve been simplified in the third installment.Įven with all the driving aids turned off, you’re far less likely to spin out on accelerating at the exit of a corner or lock up the wheels under heavy braking. It ties into one of the most talked-about changes ever since it was announced in one of the developer blogs – the omission of tyre wear, fuel usage and pitstops. It’s the sort of event that has long existed in racing games less focused on realism rather than simulation racing games, which naturally wouldn’t include an event like that due to its lack of relevance to real-world motorsport.Ī corner mastery counter and a percentage counter telling you how often you drove on the racing line are new inclusions to the HUD, whereas the tyre temperature and wear graphic, which was in Project CARS 2, was removed for the latest game. The aim is to drive through numbered blocks within a time limit to score as many points as possible, with smaller blocks worth more points. Perhaps the most obvious sign of the move away from hardcore, simulation racing to a more simplified and simcade experience is with one of the new career mode event types – breakout. The objective-focused career mode is most comparable to the one in Driveclub, a PS4 exclusive racing game made by Evolution Studios – which has since become a part of Codemasters three and a half years before the latter also acquired Project CARS developer Slightly Mad Studios. Plenty of the events don’t have any requirement as to where you should finish in the race, and how well you do is each career mode event is determined more so by the number of objectives you passed rather than where you crossed the finish line at the end of the race. Project CARS 3 doesn’t adopt that career mode structure and its overall presentation gives off a very different tone compared to the serious approach of the first two games.Īside from the changes in presentation, each career event has a list of three objectives to complete, which include tasks such as overtaking a certain number of cars within a time limit, completing a clean lap, or drafting an opponent for a certain amount of time. The first two Project CARS games had career modes focused around real-world racing career paths, with players able to start in karting and move up through to faster formula cars, or equally start off racing Ginettas around UK circuits before ending up in a global endurance racing series. It was evident ever since its announcement that Project CARS 3 was moving the franchise in a different direction from its hardcore sim racing roots. It sports anime characters �in no way affiliated with Naruto�. Reduces the Chance of your Opponent landing Criticals. 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Includes George Minne’s monument to the poet Rodenbach and works by Group Sztuka (Polish artists’ union) design cooperative Wiener Kunst im Haus, and etchings by Edvard Munch. The Beethovan Frieze was left on view another year, then dismantled and sold). (The exhibition also included reliefs by Hoffman and murals by Alfred Roller and Adolf Bohm, all of which were destroyed when the installation was dismantled. Gustav Klimt creates Beethoven Frieze as part of installation of Max Klinger’s sculpture Beethoven installation designed by Josef Hoffman. Works by Die Scholle (Native Earth, Munich artists’ union Gustav Klimt, and Arnold Bocklin installation design by Koloman Moser. The Swiss painter Hodler showed and sold The Chosen One Edvard Munch represented for the first time with his paintings Angst and Beach. Jan Toorop, with twenty-one works exhibited. Includes Gustav Klimt’s Medicine, which repeated the sscandal of his earlier Philosophy. 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I don't think any of the alternatives support this. applications running in Windows on VirtualBox - without having to remap ports. This lets multiple containers and their services be directly accessible from the host - and e.g. We set up IP aliases on lo0, and bind containers to individual addresses. Nerdctl just learned about registry mirrors like 3 weeks ago, but it looks like it's having containerd do the pull so it would be in the same boat. Broke with Docker Desktop for Mac 4.4.2 as well, and tbh I can't explain why it ever worked, but it did. as it's initiating connections from inside the VM, which doesn't see the SSH tunnel. Doesn't seem to work with Docker via Colima, etc. We use registry mirrors to access a registry over an SSH tunnel. We do two strange things (right now) that only seem to work with Docker Desktop for Mac <=4.3.2: I don’t really think this is necessary, and seems like something that could just as easily be done with a gist, but if you are looking for the absolute quickest way to get up and running with docker (and optionally kubernetes) on lima, then this could be it. I have also seen colima mentioned in the comments, which appears to wrap lima with some prebuilt configurations. But I have settled on lima as I prefer the CLI for scripted installations, and also find it to be more customizable. Lima is used under the hood in rancher desktop, which is another great option if you would prefer to have a gui. This works nicely in particular for local development while using a VPN client, which I have found has a tendency to interfere with local network traffic (if split tunneling is disabled). 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