I also appreciated that DxO has added more camera and lens combinations, in particular for me, the new Sony a7 IV. I've taken this latest version out for a spin and found it a notable improvement on both my Intel-based iMac and especially on my MacBook Pro with the M1 Max chip. Camera updates include Sony, Fuji, Nikon, Sigma, Canon, and the new DJI Mavic 3 drone. HiDPI displays are now supported, offering a useful feature to photographers on Windows machines.įinally, there are updates to DxO’s Optics Modules, bringing the total number of supported camera and lens combinations to more than 70,000. Not only is it more responsive, but processing and export times have also been improved - up to four times faster on Apple Silicon machines and up to 1.5 times faster on the latest Windows computers. Users can expect clean images, free of noise and artifacts, with deep, vibrant colors, even at high ISO levels.ĭxO DeepPRIME claims a significant upgrade in speed. In addition, DxO PureRAW 2 now supports raw files from X-Trans sensors, bringing the benefits of DeepPRIME corrections to Fujifilm X Series photographers. Similar functionality is now integrated into Windows File Explorer and the macOS Finder: simply right-click files and choose from the context menu to start the process. In Lightroom Classic, users can right-click on several raw files and have DxO PureRAW 2 process the images, creating newly enhanced Linear DNG files back in the same folder without having to step outside of the application. According to DxO, PureRAW 2 offers two new integrations to make the workflow even smoother. As DeepPRIME uses a lot of these operations that the “Neural Engine” can do faster, it should be possible for DeepPRIME to become even faster on the M1 Macs.Today, DxO is releasing a second generation of the DxO software, DxO PureRAW 2. As this hardware is specialized in machine learning operations, it can execute them much faster than a CPU or a GPU, but it is also unable to do other more general operations done by a CPU or GPU. These computations can be done either by the CPU (which can do many kinds of operations but is rather slow for the ones needed in machine learning), by the GPU (better suited for the operations needed for machine learning) or some hardware like “Apple Neural Engine” whose only purpose is executing the operations often used in machine learning. We could say it’s a specific kind of algorithm with some kinds of computations used a lot more than in classical algorithms. Other than for the graphics, does PL4 run as well on the M1 as on the Intel Mac Mini computers?ĭoes this “machine learning” come to the interface between PL and the “Neural Engine”, or does the M1 learn just by my using it? How does that work/happen?ĭeepPRIME is an algorithm based on machine learning. One last question for you - I read somewhere that PL4 didn’t yet run on the M1 Mini. If so, I expect there will be a new model fairly soon, with an adequate number of ports on it (the current Mini M1 is very limited here), and maybe even better graphics. Does this “machine learning” come to the interface between PL and the “Neural Engine”, or does the M1 learn just by my using it? How does that work/happen?įrom what you wrote, maybe the new M1 Mini is what I would be better off with. I don’t understand the meaning of the words I highlighted in your post. I’ll run into delays if I want to get more involved in 4K and better. I spoke to the people at Final Cut Pro tech support, and they told me for HD video, I should be OK. If the only thing I’m really lacking now is a faster Deep Prime, I can live with that. The tech support person at Apple who will be calling me later today has a suggestion on how to correct the graphics. Maybe I made a mistake - but with the features it does have, including a 1 TB “flash” drive, I think it’s better for me in all ways but for the graphics. I guess I was wrong, it just doesn’t run “natively”. I was told back then that PL4 doesn’t run on the Intel Mini. And about my Mac Mini, I paid my nephew $1500 for his old one, and he bought a new one with the M1 chip. Lucas, hey, repetition is good! No complaints there. The Neural Engine is hardware dedicated for machine learning operations, and that’s exactly the kind of operations we use with DeepPRIME and which take time. And there’s still potential for improvement on these M1 Macs as PL isn’t even using the Apple Neural Engine from M1 chips. ![]() The M1 Mac Mini with 16GB RAM starts around 1000€ and its integrated GPU is comparable to the one of your iMac (Radeon Pro 560). ![]() ![]() If you use DeepPRIME very often, I hope you got your Intel Mac Mini for cheap.
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