Dedicated GPU April 29, 2022, 08:05:50 PM Hi, I have a PC with 2 GPUs, one internal 1 (AMD RAdeon Graphics) and the other dedicated 0(AMD Raden RX 5600M). When applying an effect to the camera the use of GPU 1 shoots up to more than 90% , I would like to know how to make the camera occupy the other graphics card that has more memory.
Re: Dedicated GPU Reply #1 – May 05, 2022, 06:34:08 AM Hi, Splitcam use default graphic card. You can try to plug monitor to more powerfull card. What cart your monitor connected to?
Re: Dedicated GPU Reply #2 – May 05, 2022, 12:20:56 PM Hi, I am using a laptop, without an external monitor.
Re: Dedicated GPU Reply #3 – May 07, 2022, 08:04:55 AM Can you please send some info:screenshots: dxdiag.exe (C:\Windows\System32\dxdiag.exe ) winver (type winver in command line)and splitcam log.Did you get all windows updates?
Re: Dedicated GPU Reply #4 – May 07, 2022, 11:19:42 AM hi, splitcam Log "2022-05-07 =====================================10:13:49 SplitCam starting: v10.5.62 x6410:13:49 OS: Microsoft Windows 11 Home 10.0.22000 64 bits10:13:49 Initializing Gdiplus10:13:49 Gdiplus initialized10:13:49 Creating app object10:13:49 Resetting project to defaults10:13:49 Deleting scenes10:13:49 Done deleting scenes10:13:49 Clearing stream settings10:13:49 Deleting streams10:13:49 Done deleting streams10:13:49 Creating deafult scene10:13:49 Initializing scene object10:13:49 Creating video capture sources10:13:49 Creating video capture renderers10:13:49 Creating video capture canvas10:13:49 Creating chat notifier10:13:49 Creating chat notifier layer10:13:49 Saving created context to static contexts list10:13:49 Setting video callback10:13:49 Setting default canvas size to 1280x72010:13:49 Setting canvas callback10:13:49 Setting audio callback10:13:49 Registering deafult scene10:13:49 Getting deafult project path10:13:49 Initializing default theme10:13:49 Loading options from "C:\Users\elFish\AppData\Local\Splitcam\options.xml"10:13:49 Running app10:13:49 Displaying splash screen10:13:49 Updating ingest servers10:13:49 Downloading "http://splitcam.com/win-download/update/ingests.cfg" to "C:\Users\elFish\AppData\Local\Splitcam\ingests.tmp"10:13:50 Reading from "https://api.twitch.tv/kraken/ingests"10:13:50 ERROR Twitch servers parse: [json.exception.invalid_iterator.207] cannot use key() for non-object iterators10:13:50 Done updating ingest servers10:13:50 Starting UI10:13:50 Initializing common controls10:13:50 Common controls inited10:13:50 Initializing resources10:13:50 Saving "loading.gif" resource to file10:13:50 Resources initialized10:13:50 Setting up workspace10:13:50 Loading last project: "C:\Users\elFish\Documents\My Project SplitCam.xml"10:13:50 Checking available GPUs10:13:50 2 GPUs found in the system.10:13:50 AMD GPU: AMD Radeon(TM) Graphics10:13:50 AMD GPU: AMD Radeon RX 5600M10:13:50 Loading project file "C:\Users\elFish\Documents\My Project SplitCam.xml"10:13:50 Deleting scenes10:13:50 Deleting video context10:13:50 Stopping capture sources10:13:50 Looking for current context in static context list10:13:50 Deleting notifier10:13:50 Deleting capture sources10:13:50 Deleting renderers10:13:50 Deleting canvas10:13:50 Canvas thread stopped10:13:50 Done deleting scenes10:13:50 Deleting streams10:13:50 Done deleting streams10:13:50 Initializing scene object10:13:50 Creating video capture sources10:13:50 Creating video capture renderers10:13:50 Creating video capture canvas10:13:50 Creating chat notifier10:13:50 Creating chat notifier layer10:13:50 Saving created context to static contexts list10:13:50 Setting video callback10:13:50 Setting default canvas size to 1280x72010:13:50 Setting canvas callback10:13:50 Setting audio callback10:13:50 Updating scenes10:13:50 Creating memory renderer for splitcam driver.10:13:50 Looking for available video capture devices10:13:50 Initializing virtual driver interface10:13:51 Found 6 video capture devices10:13:51 Updating list of available video capture devices10:13:51 Enumerating webcams10:13:51 CyberLink PerfectCam: {\\?\root#media#0002#{e5323777-f976-4f5b-9b55-b94699c46e44}\global}10:13:51 XSplit VCam: {\\?\root#image#0000#{e5323777-f976-4f5b-9b55-b94699c46e44}\global}10:13:51 Integrated Webcam: {\\?\usb#vid_0c45&pid_671f&mi_00#7&5b26c9c&0&0000#{e5323777-f976-4f5b-9b55-b94699c46e44}\global}10:13:51 OBS Virtual Camera: {OBS Virtual Camera}10:13:51 Activating scene 010:13:51 Requesting media type: 1280x720@3010:13:51 Starting initialization of: CyberLink PerfectCam webcam10:13:51 Finished setting up work space.10:13:51 Destroying splash screen10:13:51 SplitCam started10:13:51 Found media type: [email protected] YUY210:13:51 Available desktop size: 1920x102010:13:51 Main window location: pos=226,51, size=1468x91810:13:51 Creating dialog "CPU" at (784, 507) of size 800x49010:13:51 Creating dialog "GPU" at (784, 507) of size 800x49010:13:51 Checking for software update10:13:51 Reading from "https://splitcam.com/win-download/update/ver.txt"10:13:51 Creating dialog "RAM" at (784, 507) of size 800x49010:13:51 Creating dialog "Stream Statistics" at (784, 507) of size 800x49010:13:51 Show Statistics panel.10:13:51 Current version of SplitCam is newer than the one available on the update server10:13:51 Acivating scene 010:13:51 Memory usage: Total RAM : 32,121 MiB Free RAM : 21,419 MiB RAM Load : 33% SplitCam RAM : 72 MiB SplitCam CPU : 0.0% SplitCam GPU : 0.0%10:13:54 Initializing chat notifier10:13:54 Finished initializing chat notifier10:13:54 Updating chat client10:13:54 Finished updating chat client10:13:57 Creating dialog "Acerca de SplitCam" at (585, 60) of size 750x90010:13:57 Reading from "https://splitcam.com/win-download/update/history.txt""WinverWindows 11 - 21H2DirectX 12Tks.
Re: Dedicated GPU Reply #5 – May 09, 2022, 03:29:43 AM Thank you. And one more question. What exactly effect you use? Can you try skin smoother (what adapter used)? Last Edit: May 09, 2022, 06:59:18 AM by SplitCamDevs
Re: Dedicated GPU Reply #6 – May 09, 2022, 10:43:14 AM hello, I am using the effect to remove the background. i attach the XML of the configuration. I did the test with almost all the effects, filters, masks, etc, and in all it uses the internal GPU.
Re: Dedicated GPU Reply #7 – May 11, 2022, 04:28:31 AM Hello, thank you. Please wait for a new version. I will write to you then it ready.