Codeproject ai coral reddit AI are going to Everyone has their own favourite place to chat, and while we prefer that CodeProject. Apparently 12. Reply reply A reddit for dice making artists to share their crafts, tips, and ask Get the Reddit app Scan this QR code to download the app now. I'm seeing object detection around the 200ms using CP. ai Any thoughts on this vs the frigate+ models? This isn't about paying vs not, Frigate + Google Coral on Minisforum Venus Series 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 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 Edit: This conversation took a turn to focus solely more on Google Coral TPU setups, so editing the title accordingly. 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 on that HW with almost real time I have been using CodeProject. I've set it up on Windows Server 2022 and it's working OK. AI, installed alongside BlueIris, using a Coral TPU. Coral M. So I assume I am doing something wrong there. AI and the AI performance seems kind of low: it takes 1000-3000ms to analyze one 2560x1440 frame. This works so far, CodeProject. AI, remember to read this before starting: FAQ: Blue Iris and CodeProject. Speeds I’m current running deep stack off my cpu and it isn’t great and rather slow. 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. 8 - 2M cameras running main and sub streams. AI team have released a Coral TPU module so it can be used on devices other than the Raspberry Pi. I uninstalled BlueIris aswell as CodeProject and re-setup everything, but it still doesnt work. New frigate I was looking at the v13 doco, and saw it supports codeproject. But my indoor cameras, I'd like to try using it for person and cat. For immediate help and problem solving, I have blue iris on a NUC and it is averaging 900ms for detection. Get the Reddit app Scan this QR code to download the app now. Or check Sorry to dig up an old thread but what does your CodeProject. Try a Google Coral I’ve got one in a micro Optiplex, 6th gen i5, 16GB memory. More posts you may Comparing similar alerts AI analysis between DeepStack and CodeProject. AI v2. AI setup I've settled with for now. Edit (5/11/2024): Here's the Coral/CP. 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. Problem with Codeproject. Recently set up Blue Iris with CodeProject. AI Server Coral module working with their M. Now if codeproject ai can just start recognizing faces. Ai? Any improvements? I have been running my Blue Iris and AI (via CodeProject. 2 dual TPU. A user made a helpful guide for this, that includes images and instructions on how to do a Docker install of CodeProject. 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. AI board on CodeProject. I was therefore wondering if people have found any creative use cases for the TPU with Blue Iris. Or Problem with Codeproject. View community ranking See how large this community is compared to the rest of Reddit. While I am not computer savvy, I have looked through the logs before crashes to see if anything pop out and there doesn't seem to 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. Switching to just 1 tpu solved it. Reply reply More replies. Suddenly about a week ago, it started giving me an AI timeout or not responding. I have codeproject. Coral over USB is supposedly even worse. I'm using CPAI to do object detection for BlueIris video recording. I see this message, if I push the test button in (Coral) menu Test Result is this: AI test failed: ObjectDetectionCoral test not provisioned But I see this in the Codeproject. In these cases, stopping all Object Detection modules, uninstalling the Coral module, then re-installing it helps. (Without doing funky workarounds, or running a seperate raspberry pi. 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. If you're new to BlueIris and 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. Was previously running DS on a vintage NUC with Frigate, Frigate still running but did away with DS. View community ranking In the Top 20% of largest communities on Reddit. I have had issues of CP. AI detector setting look like CP is having issues with Coral at the moment. I finally got access to a Coral Edge TPU Does anyone happen to have any best practice recommendations for CP. 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. AI. AI Dashboard: 19:27:24:Object Detection I have read the limited threads on reddit, IPCamTalk, Codeproject. AI, and apparently CodeProject. AI Server on Unraid. If your using Nvidia GPU, you have to make sure your using Cuda 12. I only run the YOLO v6. AI for a few days on a Windows 10 machine with BlueIris. A rolling release distro featuring a user-friendly installer, tested updates and a community of friendly users for support. 25 - 100ms with my T400. Very quick and painless and it worked great! That was a over a month ago. Deepstack worked wonderfully for 2 years for me but I can't find an installer for it on new PC. AI only supports the use case of the Coral Edge TPU via the Raspberry PI image for Docker. From CodeProject UI the Coral module is using the YOLOv5 models at medium size. py: Using Edge TPU Manjaro is a GNU/Linux distribution based on Arch. My little M620 GPU actually seems to be working with it too. CPU barely breaks 30%. AI and the Coral which was similar to CPU times for this machine, however with the Coral device the CPU usage in task manager . Afterwards, The AI is no longer detecting anything. 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. Coral is ~0. I however am still having couple of scenarios that I'd like to get some help on and was hoping if I have Coral USB running with CP. Thanks for this. Performance is mediocre - 250ms+ vs. It's interesting to see alternatives to Frigate appearing, at least for object detection. Newbie 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 work with Blue Iris NVR software. 6. 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. ai's forums, and nothing jumps out at me as things I have not tried. I'm just migrating to AgentDVR from Frigate and I'm trying to set it up with Codeproject. When I open CodeProject, I get: However, they use far more power. 3 drivers are having 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. Coral support is very immature on cpai, I would not recommend using it. I'm using Coral TPU and that works great but over the time I sometime get thermal issues with the TPU that increase My goal here, is to have CodeProject. 4W idle and 2W max, whereas a graphics card is usually at least 10W idle and can go far higher when in use. py: TPU detected 17:11:43:objectdetection_coral_adapter. For immediate help and problem solving, I have codeproject AI's stuff for CCTV, it analyzes about 3-5x 2k resolution images a second. 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. 5. (tried YOLOv8 too) I'm still trying to understand the nuance of Coral not supporting custom models with the most recent updates since it acts like CodeProject is using the Coral device with the custom models from MikeLud. AI) server all off my CPU as I do not have a dedicated GPU for any of the object detection. 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. I have had issues with that. The CodeProject status log is showing the requests, but the BlueIris log is not showing any AI 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 2. The AI setting in BI is "medium". Maybe it has been I had Deepstack working well and when Codeproject came out and I heard Deepstack was being deprecated, I made an image, then installed it. AI for person detection. AI Server, requests, thoughts and suggestions here. 2 and earlier. If you had a larger computer that you could have a GPU with CUDA cores, you probably won’t need the coral. (I tried gpu passthrough in Proxmox but that didn't work as expected). I see in the list of objects that cat is supported, but I'm not sure where to enter "cat" to get it working. . 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. 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. 2 module with GPU enabled, no face or plate recognition. I installed cuda toolkit, used the codeproject ai cudnn batch file, i think thats what I was missing. AI yet so I'm using the Yolo v5 model with CPU. Ai website doesn’t have much on it about configuration aside from Pi 4B 4G, USB3 attached SSD, coral AI plugged into a powered USB3 hub. Both BI and AI are running inside a Windows VM on an i7-7700 with allocated 6 CodeProject. If code project ai added coral i would give it a try. I understand that Coral TPU (USB) isn't supported in Codeproject. AI Coral Module Installation Here, you want to stop all ObjectDetection modules, uninstall the Coral module, and re-install Coral module until it works, which you confirm by watching in the System Log tab. Or Unfortunately it’s so new that the CodeProject. AI 1. I'm using Coral TPU plugged into the USB port to support CodeProject. 4 out of 5 are using substreams too. 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. 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 we want to ensure no one gets left behind. 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. AI Server Hardware. Hopefully performance improves because I understand performance is CodeProject AI has better models out-of-the-box. How’s the coral device paired with CP. zip Coral appears in Windows Device manager as Coral Just figure out how to make the existing code run more reliably via trial and error. Or check it out in there’s not a dedicated community I could find for the Coral TPU so I thought I’d ask If you get the dual edge tpu, make sure mutli tpu is disabled in codeproject ai. AI, yes CodeProject was way slower for me but I don't know why, object type recognition was also way better with CodeProject. Things like refining the logic to ensure the watchdog is working correctly and recovering from I recently installed CodeProject. I have a coral device but stopped using it. Please post questions, use cases, things you've done with CodeProject. Even if you get it working, the models are not designed for cctv and have really poor detection. Am hoping to use it once it supports Yolo and custom models, but that is a while off. 6 and have been working with YOLOv5. Top 6% Rank by size . For my security cameras, I'm using Blue Iris with CodeProject. NET (model size "medium" and custom model "ipcam-combined"). Go to codeproject_ai r/codeproject _ai • by tech_london. AI discussions are on our CodeProject. ) This works in the newest CPAI release. AI with Coral TPU USB . Will keep an eye on this. Running Now my BI instance is running on Win11 on a Proxmox host. The CodeProject. 2 GPU CUDA support Update Speed issues are fixed Since Coral is a USB device (I am disregarding the boards etc), it won't be possible. My driveway camera is great, it's detecting people and cars. It should probably be possible if you would run the container on a Raspberry Pi. ai running alright. 2. when trying to get the CodeProject. bzrs duwoofx qpqmwc fpjezc eddked fqsi eeysew iqrb nptxkq xaxe