Blue iris gpu. Understanding the DeepStack analysis (.

Blue iris gpu Blue iris not showing any GPU usage in Task manager. High CPU Utilization. 00. My suspicion is that the GPU is not being used when in service mode. After some digging apparently untick the auto start/stop with blue iris has the majority vote DeepStack-Installer-GPU-2021. terk I have the same issue in that "New Intel" does not use GPU at all with either h. 1. But, if you want higher, and have plenty of cpu/gpu/memory/storage, the choice is yours. Blue Iris utilizes DeepStack or CodeProject. NVDEC was 13%(no load), possibly double with load. CPU 16%, GPU 25%, Memory 3,235. I've adjusted the framerate in the camera UI, in BI settings, switched to H265, and everything was already direct-to-disk. Your GPU will need to be newer to support the h265 and h265+ coding. The most important performance factor for Blue Iris is CPU, so Intel GPU's that support QuickSync will significantly reduce CPU utilization benefitting Blue Iris. The bigger the size you choose (Medium, Large) the more CPU (or GPU) resources are consumed. making Has anyone gotten Deepstack GPU version working under windows 11? I have a new system with an older Nvidia Quadro K4000. 264 decoding only. absolute beginner advice. Tools. I should stop wasting time on struggling between 10GBASE-T vs SFP+ and to simply just go for SFP+ Blue Iris just sucks if its User/Admin suck Adding the GPU caused the CPU of my BI windows system to decrease from 25% idle / 100% spikes when analyzing to 7% idle with 26% spikes here and there. 265 decoding, but in my experience, you get precisely one video frame decoded, then it hangs until Blue Iris automatically restarts the video stream, then you get one frame again, The gpu is working, if I set encode to use nvenc I see activity on task manager, but yolo 6. If you can run advanced enterprise services in vmware, large SQL Because Blue Iris just recently getting h. 7 x 4MP and 2 x 2MP cameras no issue and getting around 4GB total RAM usage and 25% CPU utilization, the onboard GPU is barely at 20% utilization too. 4 GHz 20-Core-based system built in a Mini-ITX case. GPU usage monitoring; Multithreaded FTP and convert/export process queues; Alert flag and count “rollup” on database clips list; Audio playback for timeline, including UI3; CodeProject. This works great in Blue iris I want to run a custom model and embedded models (person, truck, car) at the same time What commands do I need to write in the terminal? Blue Iris is always receiving both streams so it can cache the main one for that amount of time and then store it off if the camera gets triggered. Example 2: GPU leads to artifacts. 09. So yeah, if you are set on running your AI processing in windows alongside BlueIris then a graphics card is your best bet. Forget about GPU and even more so (standard) CPU only. 5 posts • Page 1 of 1. Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics Yes, you can reap benefits of a dedicated graphics card and still use Intel Quick Sync from the integrated GPU as long as you keep the integrated GPU enabled and active . You can also configure Blue Iris to automatically check for updates so you’ll always be up-to-date. Xeons don't have QuickSync for hardware H. New comments cannot be posted. 0. AI server can use. Surely the CPAI screen will allow a Blue Iris User Group. In the clip being analyzed cars were passing in front of the camera and I can see boxes around them but nothing else Blue Iris 5. I tried with 82 as well. I set hardware accelerated decode to Nvida NVDEC and even set Hardware decode to the same thing for each camera, however, my CPU usage still is around 60-70% with lots of frame loss. this (if i have understood well) would allow larger /more varied AI models to The GPU will speed up examination time in the BI/CPAI application. Here's a video from 3 and a half years ago where h. Start with Onboarding Checklist article. Put the GTX 660 back in and it still didn't work (in case I changed something without knowing). Building a new PC - GPU helps? 11 posts 1; 2; Next; Homer81 Posts: 41 Joined: Thu Apr 02, 2020 4:15 pm. 00GHz with16GB RAM and a 512GB SSD that moves the files to a NAS. I would expect that when I build my next pc, this Ryzen 1800x pc will replace the old Fx-8350 server pc, so maybe I don't need hardware acceleration. That's it. If you went with Is anyone using an Nvidia Quadro with Blue Iris? I have a spare Dell R220 and was thinking about using it as a dedicated Blue Iris box. The GPU is from another HP elitedesk (ie as a std option), with p/n 923800-002. 2 storage running blue iris with codeproject. I have heard that using GPU acceleration can be tricky with VMWare but my server (an old ProLiant) definitely doesn't have any fancy GPU installed. 00_win10, cuDNN 10. Yet it seems to work ok with other software. What Processor make and model are you using like Intel i7-4770? What GPU are you using like Intel HD Graphics 4600? What video encoding are you using on your IP cameras like H. Blue Iris will utilize the QSV of the i7, while any Plex transcodes will go through the external GPU. SR-IOV is hardware-level support to share one device to several VMs. Blue Iris is trying to starts up Blue Iris would be the only thing on that machine. This will still be less expensive than buying a Synology DS920+ with an expansion enclosure, and significantly much more powerful. In most Blue Iris installations, your CPU is the limiting factor which determines how many cameras you can have. I can use the built-in graphics or upgrade to one with a GTX 1650 Super for It is good if you use deepstack gpu version. Sub streams are lower quality first of all and most "value" cameras have flaky behavior with sub streams on Blue Iris or just don't work at all. ok, i installed the 516. In fact, it is often regarded as something that can potentially waste electricity for a Some other options I’m currently using Direct to disk recording Blue iris bvr format 15 FPS recording Motion triggering off Intel hardware acceleration Disabled overlays your first sentence kinda tells you what the issue is. 39 and deepstack DeepStack-Installer-GPU-2021. I can use Deepstack CPU version and that works, but I have tried every suggestion I can find and I Hi, ipscamstalks is not directly connected to Blue Iris, and many of us have suffered from the childish tantrums of a certain moderator there. For Blue Iris users, if you use Custom model detection, and have a Custom Model Folder specified in Blue Iris (including those who directly edited the registry), then our setup script will copy empty copies of our standard set of model files into that custom model directory so Blue Iris knows what models CodeProject. Just look in Task Manager on the Processes tab, and you should see a GPU column with a non-zero % load, and the GPU Engine column should read "GPU X - Video Decode". Would adding an Nvidia GPU help a lot, or just get a new PC. My guess is this is an omission, rather than a reflection of AMD cpus being incapable of running I'm running 16 cameras on a HP ProDesk 600 G5 SFF i7-9700 3. The machine becomes so slow it's pretty much unusable but you can still access the cameras via the web interface (the stats at the bottom of the web interface show 100% CPU usage, 40% Memory, 5% HD , 4 FPS). Wiki. 265. Nvidia decodes only 3/16 cams. 7MB (12. 265 hardware acceleration via Kaby Lake/Intel UHD 630 was working just fine in Windows 10 Gear "Graph" looking icon at the very top of the BI admin console to open up the Blue Iris Status screen, check the Logs tab to see if there is any mention of hardware acceleration, then switch to the Cameras tab - under the HA column it should indicate the type of Hardware Acceleration. You noted the issue became present when you changed to a 4k ^^^ All the yes. LOL! Blue Iris is running within an ESXI VM on a PowerEdge R53 E5-2650L 12c/24t (VM has 6 cores) and averages about 28% CPU load. Backblaze for the whole system The download box in a ubuntu VM with a dedicated network port (1GB is fine) As it stands now my GPU never goes above 2% on the system, since it can't do encoding (it's a ASUS ROG STRIX RX580 8GB DDR5). Its 6 cores 12 threads, with the integrated GPU for 311 USD. 1 cudnn-10. On the GPU side what really matters is the amount of RAM available. It works much better on dedicated hardware. Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat; Board index; All You may view the most recent updates for Blue Iris here. Building a new PC - GPU helps? Post by Homer81 » Sun Jan 28, 2024 4:30 am. 4 posts • Page 1 of 1. 2 and still the same. exe. Former CPU % was 25-60% on default. Sparks Also, check 'Also BVR'. I have an issue where I have ensured that every camera is setup to use hardware accelerated decode to DEFAULT. There is a database online with a bunch of systems that users have in use showing the number of cameras and bitrates they are running with various processors. Blue iris is running as a service on a dedicated server. Would be used for Blue Iris With DeepStack apparently now deprecated in Blue Iris, leading to some users of DeepStack being reluctant to update to newer versions of BI, what then is the received wisdom on IPCT about what AI software might be reasonable to replace DeepStack with in Blue Iris? It seems like there is a beauty contest going on, will it be SenseAI or something else which will Blue Iris User Group. 4 Supports OpenCL Nvidia FXAA Technology Nvidia TXAA Technology Nvidia MFAA Technology. Any benefits or issues going down the Ryzen route for BI5? I have four 4k cameras and 5 2k (4mp) cameras. (with the right gpu), and they will also tell you only to run BI5 on that pc. We have tried updating Nvidia driver and rolling back BI5 versions with no luck. I'm looking at a Dell with an i7-10700. "Turning it on" appears very confusing within itself because there are many options that *might* use the Integrated GPU: * Default * Intel(r) * Intel +VPP * Intel Beta * DirectX VA12 no dedicated gpu, using intel iGPU cameras: 2 Reolink RLC-510's 6 Reolink RLC-520's all POE or settings or preview blue iris always instantly went to max cpu usage even with no gui open. 264+ or H. comments sorted by Best Top New Controversial Q&A Add a Comment. My goal is to move more of the load from the CPU over to the GPU. With your current load I agree it is not necessary. That's with five 5mp cameras and four 2mp cameras using the BI optimizing guide. The issue was DS version 2021. Quick Sync only works with h. You've got it. If you are looking to lower cpu utilization further, try reducing each camera's frame Your GPU will need to be newer to support the h265 and h265+ coding. I'm in a time crunch, I was going to go with a UniFi NVR but have decided to return it for a variety of reasons. However, with substreams being introduced, the CPU% needed to offload video to a GPU is more than the CPU% savings seen by offloading to a GPU. 1 | Win10 x64 version 22H2 | Dahua IPC-HFW2100, Amcrest IP2M-841W, Hikvision MINI PT DS-2CD2F52F-IS, Edimax IC-3030iWn | Intel i5-8700 CPU, 16GB Ram, Samsung I had too many issues with disk IOPS and GPU passthrough to recommend running BlueIris in a VM. 94 drivers and the problem seems to be there all the time. 1 post • Page 1 of 1. person, animals, vehicles, etc. gpu artifacts. stewart Posts: 17 Joined: Mon Oct 07, 2019 3:19 pm. 6 posts • Page 1 of 1. It's like the gpu can't do both at the same time. I never figured it out, so I tried reinstalling everything and it fixes the max cpu usage but only for a few hours until the disk usage creeps up, resets GPU for Blue Iris GPU or graphics cards are not that important when it comes to the raw performance of streaming multiple IP cameras at once to multiple users. Nvidia was added not too long ago but the performance of that is not nearly as strong as intel. This will prevent Windows from I installed the Nvidia GPU driver, CUDA 10. If not, it needs to be enabled in Windows. When I've replaced 3 of the cameras with the 5mp cameras, I can not get a good frame rate on those 3 cams. I would go with 2070 with 43 cams. Tried all that I know to try. The purpose I suppose is weighing the possibility of using Ryzen instead of Intel assuming the presence of discrete GPU. I am using an ancient NVIDIA adapter with only 2GB of memory and have to be careful how many cameras that use AI. I'm a big idiot you guys, I've been struggling with high CPU usage for the last year since I got setup with Blue Iris. Skip to content. . AI License Release Notes Project Home Discussions Table of contents If you are using a GPU, disable GPU for those modules Blue Iris uses a lot of CPU time. Performance of Nvidia CUDA acceleration scales I have a GPU lying around and was wondering if there was any benefit adding it to the PC. i read somewhere that it was recommended to have a GPU installed and use that together with Blue Iris and/or Deepstack, I therefor bought a used (cheap) Nvida Quadro P620, to get better performance. Todd wrote: ↑ Thu Sep 02, 2021 12:23 am Update: Took out the GTX 660 and put in a GTX 1070Ti and it just started working without a fuss. Setup Windows to work well with Blue Iris. 7%) Blue Iris v5. It also tries to do H. Using both the iGPU on my i7 and my GTX1060, for deepstack, was much easier to do once I no longer had to deal with passing them into a VM and the asinine support for NVIDIA Consumer GPUs on Windows VMs. 264 with After several days spent looking for the cause, I realized that by disabling the GPU and using only the CPU the problem does not occur, furthermore with the GPU everything works until the memory becomes "saturated". I figure I can just allocate the GPU to Plex if it doesn't do the trick for BI. Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat; Board index; All times are UTC If I set Hardware accelerated decode to NO , or Intel or Intell +VPP Blue Iris uses 100% CPU non-stop. 2 posts • Page 1 of 1. Connecting IP cameras. 6 GHz | 1TB HDD | 2TB RAID NAS | 9 Cameras It currently has nVidia 9400GT for its display, thus I think it is very inadequate for Blue Iris. I've already done all of the optimizations that were listed on various sites. Did you find a list of which gpu works best with each object detection module ? Sardon asked on the CPAI forum, and the results were interesting, but difficult to help choose anything: that Tim. It's worth the effort - Sense AI does object recognition; it reduces motion alert errors - Blue Iris can send an image to Sense AI / DeepStack to verify if there is an object of interest in the picture (i. While recording continuously (and motion detection is also configured on all cameras) CPU drops to about 13%, GPU to 6%, disk near idle. It should use gpu and save you a little cpu. I don't have any issues with it at all. dat) functionality is very useful when trying to understand what DeepStack is doing. It seems to work fine, however when I launched Blue Iris 5, the Windows VM crashes immediately and restarts. The GPU is handling the object detection but it's surprisingly slow (~300ms +/-) I'm feeling pretty certain on getting the Coral USB accelerator but i saw the m2 accelerator with dual edge TPU Please post more information about your PC, GPU, Camera's and Blue Iris configuration. Blue Iris on an i7-12700K, 32GB DDR4 in a Corsair Obsidian full tower case, Blue Iris, DeepStack GPU version on an During a live display or regular speed playback GPU stays in the high teens, CPU is 34% +/-, disk is near idle. Blue Iris uses a lot of CPU time. 265 to work is troubling. 264, so I Would adding an Nvidia GPU help a lot, or just get a new PC. I am using a couple year old computer with a i7-10700 16gb ram and a 6gb RTX2070 Super GPU. The GPU is handling the object detection but it's surprisingly slow (~300ms +/-) I'm feeling pretty certain on getting the Coral USB accelerator but i saw the m2 accelerator with dual edge TPU Integrated GPU An iGPU stands for Integrated GPU. 2ghz (8 physical 8 ht cores), 64gb ram, and a GeForce GT710 GPU. All attempts to enable Hardware Accelerated Decode fail to enable it. It will either use the dedicated, or just cpu software processes. Do I need to install something related to CUDA to get codeproject to start using the gpu instead of pegging the cpu at 100%? Share Add a Blue Iris PC Recommendation . an alternative appears to be Openvino on intel integrated GPU. For the monitoring, I have Grafana and Prometheus setup on a separate Linux system, so there is no impact on BI. RECOMMENDED CPU AND HARDWARE. 4) Check with GPU-Z: thank you @fenderman for this info: TechPowerUp Under Sensors Tab -> open blue iris in the background -> then check GPU load The DeepStack + Blue Iris article talks about the integration and proper setup. Setting video source to Generic ONVIF H. 60GHz - 32 Cores | 48GB RAM | 8TB RAID | Sophos UTM WAF | Mostly various It might be harder to get Nvidia GPU decoding to work with VMWare but I've read mixed things about GPU decoding anyway - Intel seems the way to go. Share Sort by: Best. Is this entire implementation possible? Or maybe I am missing something Todd wrote: ↑ Thu Sep 02, 2021 12:23 am Update: Took out the GTX 660 and put in a GTX 1070Ti and it just started working without a fuss. 6 GHz | 1TB HDD | 2TB RAID NAS | 9 Cameras | Almost Dual NIC | 2KVA UPS. The only requirement for Pre-built dell optiplexes are kind of the meta blue iris machines as they provide the best bang for your buck. If it does then a more expensive GPU like a quadro will need to be used. Here is a link to the gpu: I'm in the process of building a PC for Blue Iris and Code Project AI. 264 instead of Blue Iris User Group. It is based on DeepQuestAI, a free multipurpose AI that you can install on your own server (p. Issues: Memory leaks - would need rebooting every day (16GB ram installed) as the memory usage creeped up. Raw CPU cores is least optimal. You can choose one. 7700t can handle it but nothing more (i. 264. YrbkMgr Posts: 587 Joined: Sun Nov 24, 2019 12:56 am Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat; Board index; Plex is using hardware transcoding with a Nvidia P1000 so I'm not really worried about the Blue Iris VM starving for any processing power. 264, H. ) A video card can also help with transcoding/streaming and compression with BI. The complication in CPAI is usually getting a gpu to work. I'm building a new home PC for BI and a docker setup. 3. I do have a couple other - much simpler/smaller VMs. Open comment sort options Blue iris should keep its files to the space or number of days you have set. Re: Investing in a coral USB accelerator? Post by DanielH » Tue Jul 09, 2024 9:22 am. It is inexpensive, is better than a high end GPU at AI motion detection, and uses 2 to 4 watts of total power doing so. What I'm aiming for, is the 'best' (or preferably a list of options) for GPUs that will work with the i9, work with the Software, and work with say 20 IIRC, Blue Iris can't make use of GPU, so it's solely down to the CPU (and storage speed)? Any advice very much appreciated! Top. 2 does not use the gpu even when flagged. 265? I'm glad I finally sat down to read and follow the "Optimizing Blue Iris's CPU Usage" wiki article! Top. I tried to use my old GTX 680 just to find out its too old. I reverted back to v5 6. If you discover a bug or have a question about the software you may Blue Iris Webcam Software Build and Debug the Code Ubuntu / WSL About About About CodeProject. 1. x x64 | Windows 10 Pro x64 | 16GB RAM | i7-7700 3. Thinking about going to AMD 3400G since the Vega 11 graphics is better than the Intel graphics. 1 cuda_10. If you're going to run Plex on top, I definitely wouldn't go with an i3. 74 KiB) Viewed 23251 Since I have a xeon box that can't support an igpu I have a p2000 in my blue iris machine, it dramatically decreased CPU load and idles at ~30% video decode utilization w/ 8 cameras (5x 1080p, 2x 1440p, 1x 4k). YrbkMgr Posts: 587 Joined: Sun Nov 24, 2019 12:56 am Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat; Board index; Details the major steps to configure and deploy Blue Iris. AI and both can use the CPU or a GPU, with the GPU option generally performing significantly better. Hope this experience helps anyone who was Looks like CodeProject AI only officially supports Coral on the Raspberry Pi at the moment. My two Linux VMs running docker containers are not resource intensive. The LXC file server manages my entire disk array and blue iris saves all the videos there via a shared drive I thought it might be my GPU so I removed using GPU, Reboot the computer and all things tried has failed. My Intel NUC would overheat on the NVMe drive and crash unless I set the fan to unacceptable levels. 60GHz - 32 Cores | 48GB RAM | 8TB RAID | Sophos UTM WAF | Mostly various SV3C Cameras. Robinlawrie Posts: 2 Joined: Wed Jan 10, 2024 9:42 am. ( Intel® ) it just comes back showing "no" after setting, restarting Blue Iris and restarting computer. Hardware acceleration might be possible if you are able to pass through the Intel GPU to the Blue Iris VM, but this often proves difficult and of course it means your Hypervisor won't be able to output any video of its own unless you added another GPU just for that. exe Manually update to the below Windows Packages torch-1. Whenever ken gets around to streamlining alpr calls (picking highest non-static ocr return), it should improve some. This delays starting the Blue Iris Service for a default 120 seconds, thus ensuring that the One GPU for VM(A) and one TPU or GPU shared for various LXCs (On a separate, but related note, this is further complicated by advances in hardware such as SR-IOV. 264 or h. 265 blue iris will turn off hardware acceleration. In the past, the best My Blue Iris uses 20% at idle, but when I opened the interface on a 4K monitor the CPU usage shot up to 90-100% and the system became mostly Only used for Blue Iris 9 cams, all substreams low res, plus Deepstack GPU and AI Tool. I've got 9 or so 8MP cameras with Deepstack running with continuous recording. Just wondering how difficult it will be to add an Nvidia GPU card at a later date. You definitely don’t want a dedicated gpu because they are less efficient and should be a last resort. I have all my cameras at 15 fps with a keyframe rate of 15. 265 instead of H. 1+cu111-cp37-cp37m-win_amd64 Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Blue Iris Status showing camera hardware acceleration. You could always spin up a BI VM and see how it works. As such, it is extremely important to optimize your configuration to ensure you can get the most out of your system while consuming the least I'm in the process of building a PC for Blue Iris and Code Project AI. This forum is therefore rather unlikely to update the info on that website. 265 problem I am getting because I am running this on a Windows Server 12 server without any sort of GPU and it is Blue iris 4, Windows 10, i7-3740QM, 16gb RAM, Nvidea GT 650M. I've got an i7-6700T with a 4gb GTX 960, 16gb ram, and 1tb m. 3% was NVDEC and addition of substreams. I have 7 1. When I logged into the machine and Blue Iris was using 30GB of RAM. The recommended specs for Blue Iris alone is an i7. Supports GPU Boost Supports NVidia 3d Vision Supports NVidia DSR Supports VXGI (Voxel Global Illumination technology) Supports OpenGL 4. I recommend leaving this at the default, which is Medium. I have Blue Iris running on a dedicated Dell R410 server running a pair of six core processors. The card needs to be on the supported list and the amount of memory is key. It works well. Blue Iris on an i7-12700K, 32GB DDR4 in a Corsair Obsidian full tower case, Blue Iris, DeepStack GPU version on an NVidia GTX970, 2231R-ZS, 2231T-ZS, 3-3241T-ZAS, 2-4231E-S, 2-4231EM-ASE, 5231R-Z, 5442E-ZE, 3-5442TM-AS, 2-5442T-ZE, IPC-4K-T, IPC-K42A, Amcrest IP2m-841B, Annke(Hik) Cube 161DR, Dahua VTO2202-F-P, Dahua VTO2231R-WP Hi All. I haven’t heard of LXC (which Proxmox uses for containers, while as it uses KVM for VMs) running Windows and couldn’t find much info back then, which is I currently have Blue Iris installed on a Windows 10 VM on Proxmox with a Tesla P4 passed through. This program analyzes motion in Blue Iris cameras in real-time using Artificial Intelligence. png (122. needs to transcode about 5 to 6 heavy streams. In image above, GPU 0 is the iGPU. exe and the other was named server. ” That system has only the on-motherboard video controller (Intel HD 4000) which I do not see indication is doing anything for Blue Iris. However, I have noticed that disabling NVDEC decoding on blueiris seems to work (at least for now). That system has only the on-motherboard video controller (Intel HD 4000) which I do not see indication is doing anything for Blue Iris. If I set Hardware accelerated decode to NO , or Intel or Intell +VPP Blue Iris uses 100% CPU non-stop. Ive changed my Blue Iris over to a Xeon D-1541 platform for the moment. ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat; Board index; So far I'm seeing ~12% CPU usage and 80% GPU usage (which is weird as there's no GPU installed?) on the Blue Iris VM, however, it's working great and the responsiveness is markedly improved over the old setup. In Windows 10 Power Options, I recommend using "High performance" over "Balanced" and changing "Sleep" to never. Also, with this method, docker containers can "share" a GPU, so, my plex server, and deepstack both have access to a single GPU. BI is all that runs on this computer. and CPU only with NO hardware acceleration, the system will lock up and crash regardless of which is chosen if I have AI enabled. I see a lot of people running BI in Proxmox. YrbkMgr Posts: 587 Joined: Sun Nov 24, 2019 12:56 am Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat; Board index; Within Blue Iris, I have tried setting up the cameras to decode with “Intel”, “Intel + VPP”, “Nvidia”. 90 GHZ 64 GB RAM Geforce RTX 208 6x 8TB disk to record I have 35 camera! and want to expand If I set Hardware accelerated decode to NO , or Intel or Intell +VPP Blue Iris uses 100% CPU non-stop. We have about 43 camers, with 15 are 5MP, and 26 are 2MPs, and 2 are 3MP 360 degrees fisheye. 3 mp cameras I've got an i7-6700T with a 4gb GTX 960, 16gb ram, and 1tb m. From a functionality perspective, it’s hard to say that one is better than the other as I haven’t noticed significantly better performance with either. 5GB out of 11GB. If you haven't actually established the default HA mode as being 'Intel' in the Cameras tab of the main Blue Iris Settings window, this needs to be established to take advantage of the QuickSync GPU -- which is presumably active and visible in Windows Task Manager. and allows for a much smaller machine. the server Blue Iris is running on). douga wrote: ↑ Mon Jan 29, 2024 7:03 pm If you plan on using the GPU for AI motion detection, then look into getting a Google Coral Tensor Processing Unit (TPU) instead. IPCT+ Blue Iris Cloud Blue Iris Updates IPCT DDNS Focal Lens Calculator Hard Drive Space Calculator The GPU will speed up examination time in the BI/CPAI application. It notifies you if a human or an object of your choice is detected and can send alert images to Telegram. 100% of the cpus recommended in the resource are Intel cpus. The DeepStack Gotchas article is learnings from past tickets. It rarely uses the full CPU or RAM. I've been using my Coral TPU with Blue Iris for a I'm always interested in options, but I don't know what the road map is for BI5. the dedicated GPU shows the proper use. Greetings Smart People, I upgraded to Win 11 last year on a Ryzen 3400 with GTX 970 running with deepstack gpu and all the latest drivers. 4 Ghz with no frequency throttling, 16GB ram, 256GB nvme SSD and 2TB HD on a Elitedesk G2 mini platform (for energy conservation). TrunkMonkey wrote: ↑ Sun Feb 04, 2024 7:59 pm I see there's a lot of talk about leveraging a Coral TPU instead of a GPU for AI. It worked when I manually started DeepStack and could tell that it was analyzing images based upon CPU load, couldn't get it to start DeepStack via BlueIris itself though. If I bought a GPU for that server, will BI use it? Despite no local login (other than RDP) and no monitor? Hi everyone, Reading the excellent resource for picking a cpu that will perform well for Blue Iris, the one big thing missing was AMD. I'm currently using a GTX 1650 for CodeProject AI and it's working very well, but would really like to to lower power consumption without sacrificing too much on AI detection. Which substreams and Quicksync, only extremely narrow use cases benefit from a gpu for video encoding. Note this system does not even have a video monitor attached. 265 and use "Intel" I only get around 10% usage of GPU. When a value is shown, the camera is currently using hardware decoding (I=Intel, I+=Intel+VPP, N=Nvidia, DX=DirectX, I2=Intel “The CPU usage factor can be used to adjust the way in which Blue Iris displays the CPU utilization in the status bar and as is reported for remote management. If Blue Iris shows 20%, but your task manager shows 40%, please set this value to 2. Obviously only on Intel chips. Ideally, I would move the GeForce 1080i The real question is does blue iris open a transcode per camera stream with regards to a Nvidia GPU’s This would mean two things. kiyolaka Posts: 19 Blue Iris 5. NVIDIA Video Encode and Decode GPU Support Matrix Post by crosseyed » Sat Mar 28, 2020 2:52 am More information that's helping determining what NVIDIA platform will help with X264/265 decoding No, the docker is running outside the VM, I have an old 4930k with 6 cores / 12 threads, and my Blue Iris VM uses half, so the docker had the same available amount of cores. Much better than one but not as good as three 3) running all video decompression using the on-board quick-sync Intel GPU. x | Server 2025 VM | Xeon E5-2660 v3 @ 2. Im considering the GTX 1650 due 22nd of April which has the newest NVENC hopefully. 6mm that I haven't hooked up just yet). Best case is a computer with an Intel QuickSync GPU, then maybe a computer with an Nvidia GPU. In Windows 10 Version 1803 I've been using Quicksync to offload CPU load to GPU on my Intel 7700T. Blue Iris can use Quick Sync for H. Blue Iris User Group. H. andrewgepp Posts: 3 Joined: Wed Jan 22, 2020 7:27 pm. terk Posts: 175 while with 8 cameras at the time and it was running around 90% CPU most of the time with Direct to disk and using Intel GPU offloading for all the cameras and no AI. Even on an i7 running ProxMox Blue Iris was not a brilliant performer in a Virtual Machine. Roygbiv856 • If you have your cameras set for H. 1 | Win10 x64 version 22H2 | Dahua IPC-HFW2100, Amcrest IP2M-841W, Hikvision MINI PT DS-2CD2F52F-IS, Edimax IC-3030iWn | Intel i5-8700 CPU, 16GB Ram Blue Iris on an i7-12700K, 32GB DDR4 in a Corsair Obsidian full tower case, Blue Iris, DeepStack GPU version on an NVidia GTX970, 2231R-ZS, 2231T-ZS, 3-3241T-ZAS, 2-4231E-S, 2-4231EM-ASE, 5231R-Z, 5442E-ZE, 3-5442TM-AS, 2-5442T-ZE, IPC-4K-T, IPC-K42A, Amcrest IP2m-841B, Annke(Hik) Cube 161DR, Dahua VTO2202-F-P, Dahua VTO2231R-WP I managed to installed a Windows 10 VM with 2 cores and the full 8gb ram, the VIRTIIO drivers are installed and nothing else is running on Proxmox (Windows is not yet activated). Check the Facial recognition box if you intend to detect faces, \Blue Iris, then all the sub-folders C:\Blue Iris\db, C:\Blue Iris\New, and C:\Blue Iris\Alerts. I have eight cameras, currently. to dial down the frame rates and bit rates of each camera's from the camera's UI in addition to using Direct-to-Disk in Blue Iris 5. Backblaze for the whole system The download box in a ubuntu VM with a dedicated network port (1GB is fine) Hello, sorry for being a noob on Reddit, but would Intel ARC GPU be a viable option for decode/encode in BlueIris 5? Using BlueIris on my old computer now, but CPU utilization is about 30% constantly (Ryzen 1600), so either I need to upgrade the whole system or try to get a NVIDIA GPU, and I would prefer to avoid doing those things. My windows 10 pc has a ryzen 5 3400g, 16gb ram, 1tb SSD, 4tb HDD, GPU GTX970 Blue Iris User Group. Quick links. and GPU Any. 1GHz and 128GB of dual channel DDR3@657MHz and a nvidia quadro k1200 w/4gb of ram for good measure, even tho we record everything straight to disk and do not re-endcode any of our feeds First on hardware. 3) If you're running h. Hogwash. Unfortunately, when you have both an Intel integrated GPU and a dedicated, Blue Iris currently can't direct properly to each GPU. But honestly, if you already want to play with virtualization for other things. Blue Iris running as service. HeneryH Posts: 737 Joined: Thu Jul 18, 2019 2:50 pm. Understanding the DeepStack analysis (. 01. If it doesn’t then a simple 1030GT would work great as a GPU Transcode GPU. I'm moving into my house at the end of the week, I need to get cameras up and going ASAP Blue Iris on an i7-12700K, 32GB DDR4 in a Corsair Obsidian full tower case, Blue Iris, DeepStack GPU version on an NVidia GTX970, 2231R-ZS, 2231T-ZS, 3-3241T-ZAS, 2-4231E-S, 2-4231EM-ASE, 5231R-Z, 5442E-ZE, 3-5442TM-AS, 2-5442T-ZE, IPC-4K-T, IPC-K42A, Amcrest IP2m-841B, Annke(Hik) Cube 161DR, Dahua VTO2202-F-P, Dahua VTO2231R-WP How much GPU 3D performance am I expected to lose if the GPU is using 13% decoding. Still seems like a bug somewhere. An integrated GPU shares memory with the CPU and provides a more economical alternative to a stand-alone card. four hdd, one ssd, and etc, no issue with five 5mp cameras, four 2mp cameras, p620, with windows deepstack GPU AI on Windows 10 Using Windows 10 VM, P620 GPU passthrough, CUDA10, DeepStack-Installer-GPU-2021. $250 on eBay It lets you see the performance of your GPU, change swapfile settings, and set your clock speed to maximum which makes a big difference. Most of the software I run has options for gpu. I upgraded to an Blue Iris on a WIndows VM (blue iris is quite hungry and works best with Intel CPUs with h264 and h265 decoding) Plex server in a docker with about 20TB of content. Blue Iris; ↳ General discussion; ↳ Blue Iris 5; ↳ Older versions; Other topics; ↳ Network cameras; ↳ PC configuration; ↳ Chit chat Intel Graphics driver up to date and loaded/working properly Can see GPU and GPU usage in task manager, GPU tests work as expected. The rest of the AI modules are returning fast as expected (~75msec with the p400 gpu, including the new lpr clone running combined). Return to “Blue Iris 5” Only GPU's that support Intel Quick Sync and NVidia NVDEC. I live in a super busy area with lots of activity so I figured that 75% was Setting this up and testing this in Blue Iris 5 is very confusing and I have been unable to find any solid documentation on it here or in the manual. Pages Latest activity. If you are using AMD without a compatible GPU then you are stuck in the worst case number one. Just upgraded last night and got an alert in the middle of the night that my Blue Iris machine was low on available RAM. I see on the Blue Iris home page that the Recommended Specs include "nVIDIA graphics adaptor for efficient screen display". 9. Blue Iris on a WIndows VM (blue iris is quite hungry and works best with Intel CPUs with h264 and h265 decoding) Plex server in a docker with about 20TB of content. According to the Hello, I have quiet a big installation (I thinK), Intel Core i9-7920X CPU 2. I decided to use the GPU option because of my NVidia GPU. 264 and H. iGPU use shows 0% load even if I dedicate half my cameras to it. Especially after about 12 I use Blue Iris in a Win 10 VM without GPU pass through under Proxmox, and it works GREAT! From my understanding (or lack thereof) you would need Windows Hyper-V for a Windows container. The substreams are much smaller than the 4MP images so the CPU doesn't use as many cycles. Buy Blue Iris My Serials IP Cameras Installation & Tools Blue Iris Support. So my plan now is to build a server with an i7-12700 and a GTX 1660 or RTX 2060 Super. DanielH Posts: 3 Joined: Sun Jul 07, 2024 12:59 pm. Right now, I have Blue Iris running on an Intel NUC 8 with a Core-i7 8650U with 8GB of RAM. Start by looking at your video card/GPU resources. It is windows 10 pro x64 a rack mount supermicro x9dax with dual xeon e5 sandy bridge cpus at 3. Running Blue Iris 5. It will likely be an Intel Core i7-14700K 3. If I switch all my cameras to h. Your 9400GT will do h245 maybe but that's it. 5. 3. 2) Using X brand GPU. If I bought a GPU for that server, will BI use it? Despite no local login (other than RDP) and no monitor? GPU was at 60% and CPU was at 30%. Not having to deal with GPU passthrough and no I/O overhead makes for a better experience in my opinion. My Blue Iris system is a i7-6700 @ 3. This is bar far the best performing and power efficient. You cannot combine qsv with nvenc. Intel hardware acceleration works just fine in Blue Iris. 264, it cannot use GPU hardware acceleration and it all falls back on the CPU. 243_426. Intel qsv should really be the only consideration imo. FAQ; Board index. 01 had two of the same files just named differently in folder "C:\DeepStack\server" one was named deepstack. this some weird H. Blue Iris. Post by HeneryH » Thu Aug 29, 2019 2:35 pm. It will likely be an Yes, "Intel" hardware acceleration (Quick Sync) is the correct choice for your Intel i7-4770 PC. Quadro M2000 via ebay which I can then offload decoding onto for my 2 camera streams. Post by andrewgepp » Fri Jun 04, 2021 6:07 pm. As far as GPU goes, the best bang for the buck is using intel GPU acceleration. Blue Iris v5. Setting up Storage and Recordings. Locked post. I currently have Deepstack CPU setup with Blue Iris and I want to setup the GPU version to take some of the load off of my CPU and to process the images faster. I'm completely happy with it as is though. But sadly it looks worse then before the GPU installed. Sometimes, the GPU decoding can lead to artifacts. Food for thought! Blue Iris v5. Can the GPU be passed through to the app level? I posted it on IP Cam Talk and haven't had that reply yet. Re: Hardware recommendations. My CPU was always hanging around 75% and sometimes would go to 100%. Return to “Blue Iris 5” Jump to. As other have said it can Is there any way to tell Blue Iris to use my GPU instead of CPU? My CPU is consistently at 100% utilization. With 12 cameras is stays steady at about 11% CPU load while monitoring from the web server. Something like a P400 or T400 with minimum 4GB of ram would be fine in MikeLud wrote: ↑ Wed Feb 02, 2022 9:17 pm I figured out the issue and now have Blue Iris starting DeepStack version 2022. Integrated means the display circuitry in the chipset resides on the motherboard or on the same chip as the CPU. I checked with GPU-Z, Task Manager, etc. Since 2018, Blue Iris supports H. 2 x64 I tried Testing & Tuning -> analyze with Deepstack on an existing clip and I can see my GPU being utilized for cuda but Deepstack still fails to detect anything. However my GPU usage is hitting 50%. MikeBwca 15 fps is adequate. Blue iris now showing any GPU usage in Task manager. AI startup options, update checker; You may then make any remote Blue Iris server ‘active’ in the UI, giving you complete virtual control of that It's dual Xeon X5672 @ 3. Since my ProDesk doesn't currently have any graphics card I'm Blue Iris 5. e. HA: Hardware acceleration. However if you store other things on the drive they can cause over allocation issues so its best to have a drive dedicated to Blue Iris and leave at least 10GB unallocated. Top. Blue Iris 5. exe, RAM usage is around 4. the GPU's utilization, memory load, and other counters are VERY low. In fact, I noticed that with NVDEC enabled the gpu ram is 236 GB SSD for Operating System and Blue Iris 6 TB WD Purple Drive for Clips and Alerts Cams are in the Signature (but I have one Dahua IPC-T5442TM-AS 3. Re: To NVIDIA or Not. I also have a Quadro nvs 420 laying around but I'm guessing that will fall under the same "too old" category. Re: "hardware accelerated decode" - even with direct to disc recording? Post by HeneryH » Sun Sep 27, 2020 6:22 pm. Nah, Blue Iris does a lot of things that are not well-documented, but Quick-Sync encoding isn't one of them yet. Restarted the service and it went back to using the normal amount of RAM it always has -- but it just keeps creeping back up. 2. 265 hardware acceleration via Nvidia CUDA using recent Nvidia graphics cards. 1-windows10-x64-v8. I've installed Intel's latest driver. ihojvjp oqko ord kyj mrushq xmwf ssta ydobl rpbousca clh