Codeproject ai coral reddit I'm getting 70-100ms using a Coral TPU with this M. Coral over USB is supposedly even worse. Usually the Deepstack processing is faster than taking the snapshot, because for whatever reason the SSS API takes 1-2 seconds to return the image (regardless of whether it's using high quality/balanced/low). AI. Config your BlueIris per instructions on this (and CP. 8. e. AI with Coral TPU USB . By default, Frigate uses some demo ML models from Google that aren't built for production use cases, and you need the paid version of Frigate ($5/month) to get access to better models, which ends up more expensive than Blue Iris. Is facial recognition more accurate with a Coral AI Google PCIe accelerate card? I am new to QNAP and have recently begun setting up my TS-464. I'm using macvlan as the networking config to give it an IP on the LAN. The Quadro NVS 510 only has 2GB of memory which isn't probably going to run well. json, go to Visual Studio Code. At the time, or sometime shortly after, I ended up on version 2. Natively BI only supports Deepstack or CodeProject. Hopefully performance improves because I understand performance is Get the Reddit app Scan this QR code to download the app now. AI is an AI Server you install locally. AI in Docker Coral USB Accelerator Raspberry Pi Jetson Nano Dev Kit Home Assistant Integration Blue Iris r/codeproject_ai A chip A close button. Comparing similar alerts AI analysis between DeepStack and CodeProject. ai). Initially, on reboot of the machine, or on manual start, the service would not start. I can see that in the CPAI webui but I was Get the Reddit app Scan this QR code to download the app now. Can you please share the System Info tab from the CodeProject. C. Here we discuss the next generation of Internetting in a collaborative setting. One for Codeproject AI and the other for Agent DVR. For immediate help and problem A Coral AI TPM would be much easier for users since the USB model is cheaper, easier to install, takes up less space and significantly faster than a GPU. A user made a helpful guide for this, that I got it working - I had to use the drivers included as part of the Coral Module rather than the ones downloaded from Coral's website. 2\detect. json. 2 GPU CUDA support Update Speed issues are fixed (Faster then DeepStack) Since Coral is a USB device (I am disregarding the boards etc), it won't be possible. You send it data, and it performs AI operations and sends you back the results. Now when I try to intall Object Detection (Coral) module 2. With Get the Reddit app Scan this QR code to download the app now. They do not support the Jetson, Coral, or other low power GPU use. This works so far, the detection rate is fine. with moving shadows behind cars' headlights. Has anyone found any good sources of information on how to use a Coral TPU with code project? I ask because my 6700t seems to struggle a bit(18% at idle, 90+ when motion detected) I only have 5 streams of 2mp cameras. And from the moment you stop the service, it can take 20-30 seconds for the process to exit. It looks like Frigate is the up-and-coming person and object detection AI and NVR folks should consider. 2-Alpha) coverage in BI 5. However - it doesn't look like it is doing anything and BI shows new items in alerts when I walk around a For PC questions/assistance. View community ranking See how large this community is compared to the rest of Reddit. I have a Nvidia 1050ti and a Coral TPU on a pci board (which I just put in the BI server since I've been waiting on Coral support. I've set it up on Windows Server 2022 and it's working OK. All seems to be working fine besides LPR. AI v. py: Using Edge TPU File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6. I have a coral device but stopped using it. 6 and let me know if that works. Once the ONVIF alert is generated, my Blue Iris setup spins up Codeproject. Will keep an eye on this. Any idea what could cause that ? Coral module is correctly detected in the device manager. Modify the registry (Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Perspective Software\Blue Iris\Options\AI, key 'deepstack_custompath') so Blue Iris looks in C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models for custom models, and copy your models into there. CPU (Not using Coral) usage is extremely low and getting 15 to 19ms inference times on Snapdragon 8cx Gen 3 (Running HAOS Arm64 as a Hyper-V VM on Windows Dev Kit 2023). AI includes @MikeLud1 custom models for IPcam use cases. 4W idle and 2W max, whereas a graphics card is usually at least 10W idle and can go far higher when in use. Hello everyone. 0. It already has an M. If your using Nvidia GPU, you have to make sure your using Cuda 12. It's like a database server - it just sits in the background and you make calls using a simple REST API. NET on a GTX 970 4Gig GPU Dahua PTZ5A4M-25X 5. Or check it out in the app stores &nbsp; then absolutely better that than CPU. NET) Object Detection (YOLOv5 3. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. AI Coral Module Installation. 8-Beta YOLOv5. I have BI running for my business. In the Extensions tab, search for "Docker" and install the Docker extension to Visual Studio Code if you haven't alraedy. Improved Raspberry Pi support. Skip to content  CodeProject. AI TPU, all within an Arm64 Docker image Hey guys, trying to get Face Processing to use my Nvidia GPU 1660 Super. Facebook Twitter Reddit Pinterest Tumblr WhatsApp Email Codeproject. Please try the latest module, 2. 1 Beta. Add your thoughts and get the conversation going. ai developers have not prioritized low cost/high output GPU TPU. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) I started using CodeProject. I removed all other modules except for what's in the screenshot assuming the Coral ObjectDetection is the only module I'd need. You can now run AI acceleration on OpenVINO and Tensor aka Intel CPUs 6th gen or newer or CodeProject. 6. (I tried gpu passthrough in Proxmox but that didn't work as expected). Here's my setup: At the base I'm running ESXi. Deepstack worked wonderfully for 2 years for me but I can't find an installer for it on new PC. 6, 2. ai Any thoughts on this vs the frigate+ models? This isn't about paying vs not, I intend to sign up either way to support frigate. Be the first to comment Nobody's responded to this post yet. This is where a lot of issues arrive and this will probably be updated with new releases of CPAI. 1 So I have this setup with Blueiris where the camera's basic AI is able to recognize humans and vehicles, albeit it's prone to false positives eg. AgentDVR is running on a VM running Windows 10. A rolling release distro featuring a user-friendly installer, tested updates and a community of friendly users for support. If you want to get fancy, you can install codeproject ai with a google coral ai chip and run AI detections on blueiris. Ai? Any improvements? Started looking at some of my AI analyses in BI and noticed they aren't really accurate with details below: Updated everything BI 5. I ended up reinstalling the coral module, and also under BI Settings ->AI i put the ip address of the pc running BI for the Use AI Server on IP/Port: and port 5000. Fakespot detects fake reviews, fake products and unreliable sellers using AI. It seems silly that Deepstack has been supporting a Jetson two years ago it’s really unclear why codeproject AI seems to be unable to do so. Is there a way to get Coral to work in CP. Suddenly about a week ago, it started giving me an AI timeout or not responding. AI Guide Thread starter harleyl7; Start date Sep 8, 2023; Blue Iris 5 Discount! $62. Her tiny PC only has 1 m. I can't quit determine if a coral can utilize the M2 slot and/or the Pcie slot. (One at my home and two at my office) The AI face detection works for about a day and then stops. Welcome to the Open Source Intelligence (OSINT) Community on Reddit. AI detection with CodeProject. You should use 32168. They are not expensive 25-60 USD but their seam to be always out of stock. This looks like an awesome project! Would it be possible to include CodeProject. You then need to map that file within the Syno AI docker, as well as a folder you designate for the media. AI support for Linux, macOS (version 11 and 12 only) and Windows; Fix to remove chunking in order to allow HTTP1. Newbie questions about getting CP and Google Coral TPU working I've seen there is some movement about google coral TPU support in codeproject, and I was wondering if there is any way to make it Afterwards, The AI is no longer detecting anything. AI for person detection. Go to codeproject_ai r/codeproject_ai • by tech_london. BlueIris with Codeproject AI is awesome Running v4. 99 LinkedIn Reddit Pinterest Tumblr WhatsApp Email Share Link. I have Coral USB running with CP. 2 TPU. AI, yes CodeProject was way slower for me but I don't know why, object type recognition was also way better with CodeProject. To which they replied: Hi UntouchedWagons, Thanks for the intel. Frigate + Google ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. 4 A Guide to using and developing with CodeProject. AI Server. AI FOR ALL! MUHAHAH For Frigate to run at a reasonable rate you really needed a Coral TPU. Or check it out in the app stores &nbsp; CodeProject AI server keeps getting shutdown requests Hi folks, I've been dealing with spotty CPAI Server (2. 8 - 2M cameras running main and sub streams. 1): "Unable to find or initialise the Coral TPU. 5 SATA SSD for the windows OS. I see this message, if I push the test button in Agent - Settings - AI Servers - Configure menu: (Coral) menu Test Result is this: AI test failed: ObjectDetectionCoral test not provisioned But Get the Reddit app Scan this QR code to download the app now. I uninstalled BlueIris aswell as CodeProject and re-setup everything, but it still doesnt work. I went to running CPAI on my windows machine that is on all the time with dual m. 4-Beta). It can be installed locally, required no off-device or out of network data transfer, and is easy to use. Getting excited to try CodeProject AI, with the TOPS power of coral, what models do you think it can handle the best? thank you! View community ranking In the Top 20% of largest communities on Reddit. Get app Get the Reddit app Log In Log in to Reddit. AI basically dying and no longer processing alerts (service/server is running, but no AI requests from BI are coming in or being processed). com. AI, remember to read this before starting: FAQ: Blue Iris and CodeProject. Coral M. AI object detection in order to confirm the alert (going back through 4 seconds I had the same thing happen to me after a power loss. I recently installed CodeProject. My little M620 GPU actually seems to be working with it too. Or check it out in the app stores &nbsp; but I get 150ms to 500ms CodeProject. Codeproject AI is running in a docker on a Qemu64 VM running Debian 11. Or check it out in the app stores Sorry to dig up an old thread but what does your CodeProject. 2 dual TPU. 7. Please post questions, use cases, things you've done with CodeProject. 2) they both are hanging there for nothing. Coral is ~0. 9. AI setup I've settled with for now. Several times over the last year I have thought to check for updates to CodeProject. 1. AI is divided into categories Image, Vision, Text, and Status with each category further broken into sub-topics. ai (2. Blue Iris is a paid product, but it's essentially a once-off payment (edit: you do only get one year of updates though). Reply reply Hello, I am running a current version of BlueIris on Windows 11 with a couple of 4K cameras. Choose model size. When I open CodeProject, I get: Try a Google Coral I’ve got one in a micro Optiplex, 6th gen i5, 16GB memory. AI Server 2. Coral Accelerator unRAID Docker with CodeProject. In order to edit appsettings. Within this, I created a "synoai" folder, and then placed my json file in there. Was previously running DS on a vintage NUC with Frigate, Frigate still running but did away with DS. I am using a half-height GTX 1650 because my PC is a SFF (small form factor) and power supply is not big. Inside Docker, I'm pulling in the codeproject/ai-server image. I have about 26 cameras set up that are set to record substream continuously direct to disk recording with most cameras using INTEL +VPP for hardware decoding. So your #2 is a non issue. jensie Posts: 15 (Coral)-module to CodeProject. I have them set to record @CCTVCam #2: CodeProject. When this happened, I tried to uninstall and reinstall the program. AI programming is something every single developer should be aware of. AI page (above) suggests installing single missing module is possible. AI Server Coral module working with their M. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; View community ranking In the Top 10% of largest communities on Reddit. Free Frigate open source combined with a $30 Coral card turns any legacy computer into a top end NVR. I was thinking of frigate, but immich is a great example as well. Very quick and painless and it worked great! That was a over a month ago. AI under Docker in Windows? Following message comes up (on CPAI 2. Pi 4B 4G, USB3 attached SSD, coral AI plugged into a powered USB3 hub. Just figure out how to make the existing code run more reliably via trial and error. BlueIris upvotes · comments. (say the Coral EdgeTPU), or have users install a bunch of extra software or components to get object detection or HA support. Everyone has their own favourite place to chat, and while we prefer that CodeProject. If code project ai added coral i would give it a try. Or check it out in the app stores Unfortunately it’s so new that the CodeProject. I have it installed and configured as I would expect based upon tutorials. When I start the Object Detection (Coral), logs show the following messages: 17:11:17:Started Object Detection (Coral) module 17:11:43:objectdetection_coral_adapter. Everything was running fine until I had the bad idea to upgrade CodeProject to 2. AI board on CodeProject. Thank you so much for this. Coral. I have codeproject AI's stuff for CCTV, it analyzes about 3-5x 2k resolution images a second. Anyone is welcome, but testers with the following setup in priority are: Windows users Windows users with an NVIDIA GPU Docker users Linux / macOS native installer users If anyone is interested, please message me a link to your CodeProject profile, and I'll invite you to the testers group. AI with Blue Iris a little over a year ago. 4 out of 5 are using substreams too. In these cases, stopping all Object Detection modules, uninstalling the Coral module, then re-installing it helps. 0 Coral. To make AI development easy. I have my BI in a windows 11 VM in proxmox, and then a docker container in an ubuntu VM with a GPU (and a google coral TPU, which is also viable, but I didn't want to mention it to keep my reply simple) for CPAI CodeProject. ai for detection. Now if codeproject ai can just start recognizing faces. New frigate models vs codeproject. ai running alright. 1, I only get "call failed" no matter what verbosity I set. It is an AI accelerator (Think GPU but for AI). 16) and codeproject. the file specified. Expand user menu Open settings menu. AI on Reddit, CP. AI with Coral TPU USB This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. AI and then let me know if you can start it again. 2 adapter. com we want to ensure no one gets left behind. AI detection times with my P620, probably on average around 250ms. I finally got access to a Coral Edge TPU If you're running CodeProject. Object Detection (using Coral. I’m current running deep stack off my cpu and it isn’t great and rather slow. AI in Docker Coral USB Accelerator Raspberry Pi Jetson Nano Dev Kit Home Assistant Integration Blue Iris A Guide to using and developing with CodeProject. I like Codeproject. 0 Contact us; Terms and rules; I really recommend checking it out once your up and running. ai Get the Reddit app Scan this QR code to download the app now. CodeProject AI and Frigate . This is a platform for members and visitors to explore and learn about OSINT, including various tactics and tools. Or check it out in the app stores Problem with Codeproject. We ask that you please take a minute to read through the rules and check out the But to process already trained network in any resemblance of real time, you can't use CPU ( too slow even on big PCs), GPU (Graphic card can't fit to Raspberry Pi, or smaller edge devices ) therefore TPU, a USB dongle like device, that took the AI processing part out of graphic card (on smaller scale) and allows you to execute AI stuff directly I recently received the Coral TPU and have been trying to find ways to use it with my Blue Iris setup, however, it seems that CodeProject. Codeproject will resize the image before passing it through the ai. UntouchedWagons PS I'm not affiliated with Coral in any way, I'm just a frustrated user. AI: 8 cores, 16gb (shared with 3 Minecraft servers and a few other lower resource dockers) This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break Thanks for you great insight! I have two corals (one mpcie and one m. The API for CodeProject. AI team have released a Coral TPU module so it can be used on devices other than the Raspberry Pi. zip Coral appears in Windows Device manager as Coral I recently installed CodeProject. , Alberta, Quebec watchdogs order Clearview AI to stop using facial recognition tool cbc. . Codeproject. 6 and have been working with YOLOv5. I used the unraid docker for codeproject_ai and swapped out the sections you have listed. Reply reply A reddit for dice making artists to share their crafts, tips, and Manjaro is a GNU/Linux distribution based on Arch. The main symptom I'd notice in BI was that I'd get AI timeouts after 25s or so. AI in Docker Coral USB Accelerator Raspberry Pi Jetson Nano Dev Kit Home Assistant Integration Blue Iris ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. We encourage discussions on all aspects of OSINT A Guide to using and developing with CodeProject. Things like refining the logic to ensure the watchdog is working correctly and recovering from If I'm running BI (5. Get the Reddit app Scan this QR code to download the app now i have been trying to spin up a codeproject/ai-server container with a second google coral but it looks like the coral can only be used for object detection and not facial recognition, using the CPU is stressing the n2+ out a bit more than i would like. Works great with bi. Just switched back to Blue Iris. AI was usually hitting 40-60% CPU utilization on a 12 core i5 1240p. AI a try. py", line 141, in do_detection det = detector(img, size=640)" We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. In the past, I have tested this same PC with Coral but with Linux baremetal + frigate docker so I know this Mini PC should fully detected the TPU inside Windows. But my indoor cameras, I'd like to try using it for person and cat. r/OSINT. 2. Or check it out in the app stores Very low resource utilization especially if you pick up a Coral TPU. Blueiris with Code project AI. Using Coral Does anyone happen to have any best practice recommendations for CP. when trying to get the CodeProject. Blue Iris is running in a Win10 VM. I however am still having couple of scenarios that I'd like to get some help on and was hoping if Get the Reddit app Scan this QR code to download the app now. 8 (have also tried 2. Run asp. 5) so I have just manually installed it and all seems fine in conjunction with Blue iris (I use YOLOv8) A few observations: BlueIris does not now report Codeproject version any more My understanding is it’s the size the submitted image gets resized to before running against the ai. I have it running on a VM on my i3-13100 server, CPU-only objectDetection along with a second custom model, and my avg watt/hr has only increased by about 5w. Help - camera choice with google coral Do I need to consider wizsense, or wizmind when I already have the google coral? I understand that sensor size is very important, but is 5mp ok for inside? New frigate models vs codeproject. Enjoy stable, reliable and power I was using Deepstack and decided to give Codeproject. If in docker, open a Docker terminal and launch bash: 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. The CodeProject. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API Now my BI instance is running on Win11 on a Proxmox host. AI are going to I respond to all comments here on Reddit, the Home Assistant forum thread or GitHub issues. 8. 2 and earlier Edit: This conversation took a turn to focus solely more on Google Coral TPU setups, so editing the title accordingly. AI Server Hardware. When I'd check Explore the GitHub Discussions forum for codeproject CodeProject. AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI. Switching to just 1 tpu solved it I have had issues of CP. As mentioned also, I made a huge performance step by running deepstack on a docker on my proxmox host instead of running it in a windows vm. CodeProject. Reply reply More replies. AI with Blue Iris for nearly a year now, and after setting it up with my Coral Edge TPU couple of months ago, it has been amazing. 1 access to the API (Blue Iris fix . I I am using the coral on my home assistant computer to offload some of the work and now the detection time is 15-60ms. 6 Check AI Dashboard Press Ctrl R to force reload the dashboard Should see Modules installing I stopped YOLOv5 6. New issues communicating with Codeproject. None of the above folder names or locations are mandated by the Syno AI repo. As of CodeProject. 7. Performance is mediocre - 250ms+ vs. It's not that AI development is that View community ranking In the Top 20% of largest communities on Reddit. Discuss code, ask questions & collaborate with the developer community. Running I've been trying to use Code Project AI for two months on and off on various setups and it constantly crashes or locks up. AI including Deepstack? Deepstack hasn 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 Comment. AI Server, requests, thoughts and suggestions here. Im attaching my settings aswell as pictures of the logs. 7 it has broken support for AI in Blue Iris. A new, fast object detection module with support for the Coral. AI) server all off my CPU as I do not have a dedicated GPU for any of the object detection. Hey, it takes anywhere from 1-6 seconds depending on whether you use Low, Medium or High MODE on Deepstack in my experience. Blue Iris. AI discussions are on our CodeProject. One thing about CP AI is that you have to stop the service before installing a new version. To start, I have a working Frigate config with about 10 cameras right now. Top. 2 NVME drive that I was intending to use for the OS & DB. When asking a question or stating a problem, please add as much detail as possible. If you had a larger computer that you could have a GPU with CUDA cores, you probably won’t need the coral. 2 module with GPU enabled, no face or plate recognition. Coral Object detection switches from TPU to CPU. This is something I could not have said when I was running Agent DVR. How’s the coral device paired with CP. AI running with BI on a windows machine? However, they use far more power. Anyone suggest a coral that I can order that could Really sad the Codeproject. I am getting satisfactory performance (<100ms) out of my 1650 for the models that I am using. 4-135mm Varifocal PTZ, Dahua IPC-TPC124X-S2 Thermal 3. I've had no issues with my install for a long time, but recently, whenever I reboot the machine hosting BI and CPAI, BI stops communicating with CPAI, but not completely. AI on Windows CodeProject. No, the coral module in CPAI needs to uninstalled and reinstalled, not the actual m. AI Server in Docker or natively in Ubuntu and want to force the installation of libedgetpu1-max, first stop the Coral module from CodeProject. Get the Reddit app Scan this QR code to download the app now CodeProject AI + the models bundled with Blue Iris worked a lot better for me compared to Frigate. Problem with Codeproject. When I do the test from Agent DVR it gives me the following error: AI test failed: A task was Welcome to the IPv6 community on Reddit. Home. Has anyone been able to get this to work and if so, what ai version, and any I have two VMs running on Proxmox. I now find that on install Ran Scrypted for most of this year. 0 Home CodeProject. ai is rumoured to soon support tensorlite and coral. basically i need an ai CodeProject. AI team. AI 1. remove everything under c:\programdata\codeproject\ai\ , also if you have anything under C:\Program Files\CodeProject\AI\downloads /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind I've so far been using purely CPU based DeepStack on my old system, and it really stuggles - lots of timeouts. Problem: They are very hard to get. AI Server Get the Reddit app Scan this QR code to download the app now. I then followed the advice: uninstalling codeproject, deleting its program files and program data folders, making sure BI service was not automatically restarting upon reboot, rebooting, reinstalling codeproject, and installing AI modules before starting BI. Original: Is there a guide somewhere for how to get CP. Codeproject ai uses gou, occasionally with a lot of activity on more than several cameras, I feel like a 1070/1080 begins to suffer a bit and gpu hits around 80 percent. This is a Fakespot Reviews Analysis bot. This is a timeout. I'm seeing object detection around the I have codeproject. Or check it out in the app stores &nbsp; Go to codeproject_ai r/codeproject_ai I'm using Coral TPU and that works great but over the time I sometime get thermal issues with the TPU that increase significantly detection time. AI, and apparently CodeProject. AI Server v2. The good news is you have a very good CPU and only 4 cameras that should run AI well. ai Coral TPU (m2 pci) Questions About Modules self. Yea disabled as much of the on-camera AI features as possible then just rely on BI / CPAI to handle the rest. Relying on the uninstaller to stop the service and remove the files has been problematic because of this lag to terminate the process. AI: Start here CodeProject. This document will continually change and be updated to reflect the latest server version and installed analysis modules After Googling similar issues I found some solutions. I seem to be having real hit and miss results for object detection and I suspect it could be something to do with how I have AgentDVR configured. 5 was released Jan 23, 2024, this thread is for all topic CodeProject. Ai website doesn’t have much on it about configuration aside from docker settings. Or check it out in the app stores &nbsp; Codeproject. Top 6% Rank CodeProject AI has better models out-of-the-box. Thanks for this. You can also try to run one of the missed event still images in your alerts folder through the Codeproject AI web console to see if it detects a person or not to see if it's having problems recognizing a person. I have blue iris on a NUC and it is averaging 900ms for detection. 2 nvme slot which is where I'm putting the Coral TPU then will use the only 2. AI, but it shows ObjectDetection (Coral) Not Available CPU I have enabled and disabled GPU AI in the Blue Iris settings to no avail (Previously was using a 3080 to run the AI) A Guide to using and developing with CodeProject. 6 CP 2. Coral's github repo last update is 2~3 yrs ago. x versions). Running CodeProject. AI v2. Note: Reddit is dying due to terrible leadership from CEO /u/spez. net core 7 runtime and select Repair: after install, make sure the server is not running. 5. The CodeProject status log is showing the requests, but the BlueIris log is not showing any AI requests or feedback, only motion detects. There are other work arounds, but the one that worked for me was to stop all ObjectDetection modules, Uninstall Coral Module, and re-install Coral Module until it View community ranking In the Top 10% of largest communities on Reddit. AI. CodeProject AI should be adding Coral support soon. (Faces) I have installed BI with Codeproject on multiple computers. AI and dont want to end with it. 3. AI) Object Detection (YOLOv5 using ML. 2/pcie coral tpus and never turned the Jetson on again. It doesn't modify or transcode the streams from your cameras, very fast and lightweight compared to Blue Iris which I used prior. One note, unrelated to the AI stuff: I messed around with actively cooled RPi4s + heatsinks for ages, before moving to this passively cooled case which works significantly better and has the added bonus of no moving parts. Uninstall, Delete the database file in your C:\ProgramData\CodeProject folder and then delete the CodeProject folders under program files, then reboot, then reinstall CP. Please use our Discord server instead of supporting a company that acts against its CodeProject. Or check it out in the app stores there’s not a dedicated community I could find for the Coral TPU so I thought I’d ask here. AI threads to see what others are using. Clips and recordings will all be placed on a NAS. I understand that Coral TPU (USB) isn't supported in Codeproject. AI: a demonstration, an explorer, a learning tool, and a library and service that can be used out of the box. NET (model size "medium" and custom model "ipcam-combined"). If you're new to BlueIris and CP. I have had issues with that. Ned help with CodeProject AI set up . py: TPU detected 17:11:43:objectdetection_coral_adapter. AI, not Tensorflow / Coral which is why I believed I had to use It seems codeproject has made a lot of progress supporting coral TPU, so I was hoping things are a bit better now? Is anyone able to make it work? B. I have been using CodeProject. AI image recognition requests are not seen by the CPAI container, however if you go into the AI Blue Iris 5 running CodeProject. And adding additional custom models like the delivery truck detection is dead simple by dropping them into the expected folder. 7 and some 1. 5 and greater. 8 (I was on 2. If you get the dual edge tpu, make sure mutli tpu is disabled in codeproject ai. This works great but I was wondering since I installed CodeProject on the same VM if I could get better analysis results by moving CodeProject to a dedicated machine with a gpu just for it. It's interesting to see alternatives to Frigate appearing, at least for object detection. hpmkruit asked Dec 18, 2024 in Q&A · You can read the other CodeProject. AI uses port 32168. All you would need is an account on codeproject. AI 2. License is like $40-50 bucks so its cheap to buy and there is a 15 day demo. AI-Server. But don't get a new one for this purpose, get an accelerator like coral tpu (coral. Edit (5/11/2024): Here's the Coral/CP. Coral support is very immature on cpai, I would not recommend using it. Some people suggest removing and then reinstalling CP. For awhile it could also use 5000, but I believe it has been completely deprecated now. I have used the inbuilt AI Core to recognise faces of family and friends in my photo collection (around 45k pictures). Only downside is there are not as many models that are compatible. Advanced Docker launch (settings saved outside of the container) We will need to map two folders from the Docker image to the host file system in order to allow settings to be persisted outside the container, and to allow modules to be downloaded and installed. It should probably be possible if you would run the container on a Raspberry Pi. AI detector setting look like in doubletake? CP is having issues with Coral at the moment. ai . AI version 2. I used my Jetson nano for deepstack for a bit and then it just stopped working. I was therefore wondering if people have found any creative use cases for the TPU with Blue Iris. I see in the list of objects that cat is supported, but I'm not sure where to enter "cat" to get it working. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. AI only supports the use case of the Coral Edge TPU via the Raspberry PI image for Docker. net Waited for them to be installed. For the Docker setup, I'm running PhotonOS in a VM, with Portainer on top to give me a GUI for Docker. AI) site. 9, we've added the ability to adjust the ModuleInstallTimeout value in appsettings. I'm just migrating to AgentDVR from Frigate and I'm trying to set it up with Codeproject. The module does not like to be installed. My driveway camera is great, it's detecting people and cars. Stick to Deepstack if you have a Jetson. Any I had Deepstack working well and when Codeproject came out and I heard Deepstack was being deprecated, I made an image, then installed it. I strongly suggest you think about it. For my security cameras, I'm using Blue Iris with CodeProject. AI modules and enable. I used my 1080 initially and was getting 80-120ms I have installed the ObjectDetection (Coral) module on CodeProject. Or check it out in the app stores &nbsp; I've had a google coral sitting on my desk for a while and finally threw it into my blueiris sever after reading this post: \Program Files\CodeProject\AI\modules\ObjectDetectionCoral\assets A standalone, self-hosted, fast, free and Open Source Artificial Intelligence microserver for any platform, any language. 2 and used YOLOv5. 25 - 100ms with my T400. 5mm, Dahua IPC-T5442TM-AS (2) 6mm Fixed, Dahua IPC-T5442T-ZE 2. ). Or check it out in the app stores Also running it on a windows with a google coral setup and working great. This works so far, I have been running my Blue Iris and AI (via CodeProject. ai sever for Blue Iris or some Since the CodeProject team moved to GitHub, I have had a lot of problems with the Windows version of the program. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users Coral USB Accelerator Raspberry Pi Jetson Nano Dev Kit Home Assistant Integration Blue Iris Webcam Software Build and Debug the Code Ubuntu / WSL This is CodeProject. Sort by: used the codeproject ai cudnn batch file, i think thats what I was missing. AI support for Linux, macOS (version 11 and 12 only) and Windows; Release 2. 08:50:08: at Delete C:\Program Files\CodeProject Delete C:\ProgramData\CodeProject Restart Install CodeProject 2. 0 and CodeProject. Even if you get it working, the models are not designed for cctv and have really poor detection. I'm using Coral TPU plugged into the USB port to support CodeProject. 5 and Object Detection (Coral) 2. The downloads are now available for 2. This one is a bit weird. Sadly codeproject ai it’s not very environmentally or budget friendly. 2 setup with dual coral? Which model to use (yolov5, yolov8, mobilenet, SSD), custom models, After installing Microsoft Visual C++ 2019 redistributable and edgetpu_runtime_20221024. I only use the Running BI and Codeproject here in windows 11. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break Apologies, I was getting my acronyms muddled, yes I want Blue Iris to access AI detection provided by the Coral. ai for detection I was looking at the v13 doco, and saw it supports codeproject. AI for a few days on a Windows 10 machine with BlueIris. AI, and every single time I have tried an update to a version after 2. In fact, he's part of the CodeProject. ai with google coral, but also have frigate for the home assistant integration and might take the time to dial in sending motion alerts from frigate to BI to get rid of CP. When you install CPAI you then need to pick your modules (YOLO, Face Recognition, Object Detection Coral, etc. IPCT 4. We also support the protest against excessive API costs & 3rd-party client shutouts. Am hoping to use it once it supports Yolo and custom models, but that is a while off. Get the Reddit app Scan this QR code to download the app now. If you have a specific Keyboard/Mouse/AnyPart that is doing something strange, include the model number i. If you have a Raspberry Pi, just grab a Google Coral and run CodeProject there until they get it working with other OSs. Here is the analysis for the Amazon product reviews: Name: Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers Company: Google Coral Amazon Product Rating: 4. I only run the YOLO v6. I'd like to keep this build as power efficient as possible, so rather than a GPU, I was going to take the opportunity to move to CodeProject AI with a Coral TPU. CPU barely breaks 30%. ). AI yet so I'm using the Yolo v5 model with CPU. Thanks for your response and reassurance. We I created a folder called "surveillance" on one of my Synology volumes. lymxi wmfgb ddxgikr lxbdr jpekwvn jtch swgqgzwy vzg uhc epfc