bmport.blogg.se - Lightroom classic vs lightroom 2015

#Lightroom classic vs lightroom 2015 pro#
#Lightroom classic vs lightroom 2015 plus#
#Lightroom classic vs lightroom 2015 windows#

The real power comes from the ability to sync edits across those devices, because it happens in almost real time, at least on the beta version I’ve been testing for the last few days.

After all, Hogarty says, “it's just text instructions going back and forth” to these editing clients. Once the files are backed up in the cloud, syncing the edits should be easy and shouldn’t require heavy bandwidth.

#LIGHTROOM CLASSIC VS LIGHTROOM CC UPGRADE#.

#LIGHTROOM CLASSIC VS LIGHTROOM CC UPDATE#.

Also, post a full-resolution screenshot of the entire LR window showing the issue with People masking. If you think you have more than 2 GB of graphics memory, please post a full-resolution screenshot (not a phone pic) of the relevant screen from the System Information app so we can see the details. People masking will run just fine without a GPU (albeit more slowly), but unfortunately Adobe refuses to provide an option to disable the use of the GPU for AI masking: You very possibly have less than 2 GB of graphics memory, and People masking will be unreliable: Unfortunately, LR's System Info command doesn't include the amount of graphics memory (VRAM) on Macs, but you can find that out by running the System Information app, under Hardware > Graphics/Displays.

#Lightroom classic vs lightroom 2015 plus#

You've got a Mac with the Intel(R) Iris(TM) Plus Graphics 640. Settings Folder: /Users/smicale/Library/Application Support/Adobe/Lightroom Library Path: /Users/smicale/Pictures/Lightroom/Lightroom Catalog-2-2-v12.lrcat Init State: GPU for Display supported by default with custom image processing supportĪpplication folder: /Applications/Adobe Lightroom Classic Metal: Intel(R) Iris(TM) Plus Graphics 640 Maximum thread count used by Camera Raw: 3Ĭamera Raw SIMD optimization: SSE2,AVX,AVX2Ĭamera Raw virtual memory: 458MB / 8191MB (5%)Ĭamera Raw real memory: 508MB / 16384MB (3%) Virtual memory used by Lightroom: 44,206.9 MB Real memory used by Lightroom: 963.7 MB (5.8%) Real memory available to Lightroom: 16,384.0 MB I don't have a rational explanation for why Adobe insists on writing off a fair number of its users who have otherwise reasonably configured computers. The machine-learning libraries that LR uses to execute its masking models make it very easy for apps invoking the libraries to select whether to use the GPU or CPU to execute the models. When LR detects less than 2 GB, it could automatically use the CPU for People masking. See this feature request for details (and add your constructive opinion and vote):Ģ.

#Lightroom classic vs lightroom 2015 windows#

You can easily test that for yourself by booting into Intel Mac or Windows safe mode, which disables the use of the GPU, and running LR. AI masking, including People selection, runs just fine without a GPU, albeit significantly more slowly. LR could provide an option Use GPU For AI Masking. There are two trivial solutions for this that Adobe stubbornly refuses to implement:ġ. So starting with 12.1 (I think), LR started checking the amount of graphics memory explicitly. Several versions ago, People masking would sometimes (but not always) crash with less than 2 GB of graphics memory: To build on GoldingD's reply, most likely the older computer is running an older version of LR.

#Lightroom classic vs lightroom 2015 pro#

"I find out that old my macbook pro (late 2013) with a Intel Iris Pro 1536 MB can perfectly run people masking."