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1. #Nvidia shadowplay timetag driver#
2. #Nvidia shadowplay timetag full#
3. #Nvidia shadowplay timetag windows 10#
4. #Nvidia shadowplay timetag software#

These are Nvidia Display Container LS, NVIDIA LocalSystem Container, NVIDIA NetworkService Container, and NVIDIA Telemetry Container. An example is the four NVIDIA services you see when you open the services application.

#Nvidia shadowplay timetag software#

Microsofts SysInternals Process Explorer software has a process hierarchy that shows many NVIDIA processes launch other NVIDIA processes.Ī variety of NVIDIA Container processes are synced to background tasks implemented as system services. What this means is that NVIDIA Container in itself may not be doing a lot, but runs other NVIDIA tasks that may use up a lot of computer resources. This nvcontainer.exe program contains and runs other NVIDIA processes. In the task manager, once you have NVIDIA’s GeForce, you will notice a lot of “NVIDIA Container” processes running on your PC. Its main job is to make the process of building and deploying containerized GPU-accelerated applications to desktop, cloud or data centers less complicated. It works with the Open Containers Initiative (OCI) specification used by Docker, CRI-O, and other popular container technologies. NVIDIA Container Runtime is a GPU aware container software. While till this date we still haven’t gotten a valid explanation about all those processes from NVIDIA’s end, what we can do is learn quite a bit by just meandering around. I personally figured out that ten separate processes were running in my Task Manager whilst Geforce Experience was running.Īny extra processes running in the background can always cause hinderance in your day-to-day usage, whether you’re a gamer or a graphic designer. If you have NVIDIA’s GeForce Experience software installed on your computer, you will likely have already come across a plethora of NVIDIA processes running as depicted by the Task Manager.

#Nvidia shadowplay timetag driver#

To patch patch both libnvidia-encode and -fbc, unless nvidia massively changes their drivers, so far it has worked on each driver release. Quoting: CorbenAtm I'm using nvidia-patch and obs-nvfbcYou can also use nvlax with it's source GIT_TAG master Last edited by kokoko3k on 11 April 2022 at 12:47 pm UTC OUT_FILE=~/video_out.mkv # Write to this output fileįfmpeg -y -device /dev/dri/card0 -f kmsgrab -framerate $FRAMERATE -i - -vaapi_device /dev/dri/renderD128 -vf hwmap=derive_device=vaapi,crop=$GRAB_SIZE:$GRAB_XY,scale_vaapi=$OUTPUT_SCALE:format=nv12 -c:v $CODEC -qp:v $QUALITY $OUT_FILE QUALITY=18 # Video quality. The higher, the worse. OUTPUT_SCALE=1280:720 # Rescale to this sizeĬODEC=h264_vaapi # Video codec, also try hevc_vaapi GRAB_XY=0:0 # X:Y (upper-left of the grab area  0:0 is the most upper left)įRAMERATE=30 # Capture with this framerate Just made the following, on my system it takes 4% cpu use.Įncodes it via vaapi in h264 at excellent quality (and big size ofc). Article taken from .Īnother solution for zero copy is to use ffmpeg with kmsgrab. Sounds like a great project, that could be helpful for those of you who want high-performance recordings or something more like Nvidia ShadowPlay perhaps. They have a lot of plans for it including support for AMD and Intel GPUs, the ability to dynamically change bitrate / resolution to match desired fps, see the cursor in the recording and more.

#Nvidia shadowplay timetag full#

This of course highly depends on your CPU but the point here, is that it uses the full power of your GPU, and seeing a performance loss with OBS on Linux is pretty common.

In their own testing, they said they saw FPS drops from 30 to 7 with OBS Studio at 4K but with their tool they saw a solid 30FPS. This means that CPU usage remains at around 0% when using this screen recorder. This gpu-screen-recorder keeps the window image on the GPU and sends it directly to the video encoding unit on the GPU by using CUDA.

#Nvidia shadowplay timetag windows 10#

OBS only uses the GPU efficiently on Windows 10 and Nvidia. These operations are very slow and causes all of the fps drops when using OBS. OBS only uses the gpu for video encoding, but the window image that is encoded is sent from the GPU to the CPU and then back to the GPU.

Why make it? Well, in their own words on how it's different to OBS when paired with NVENC: They claim it's the "fastest screen recording tool for Linux". It doesn't have a fancy name, just called " gpu screen recorder" along with GTK front-end you can use to help manage it. Find you get too much of a performance hit using other recording tools like OBS Studio? Maybe this new tool will help.