Frigate Vs Deepstack. Aug 4, 2019 · The reason scrypted is not using lots of cpu is b

Aug 4, 2019 · The reason scrypted is not using lots of cpu is because it is using tiny models and the substream. So my question is: should I use DeepStack or CompreFace? My setup is one 1080p camera, 6th gen i7, and GTX 960m. AI Explorer and used its object detection against some incorrect matches from frigate. Frigate now supports facial and license plate recognition in version 0. true So I've been using DT for a long time now. This one is more of a discussion rather than a how to. My traditional NVR is more stable than Frigate. After some research, I've found that people commonly use either DeepStack or CompreFace for face recognition. e. Is my high-level understanding correct?. Looking at the feature list, iSpy seems to be much more powerful in this regard and even offers face recognition. You simply used deepstack on a large model vs using codeproject with a tiny model and hardware acceleration that is allowed by code project. Mon vieux RPI faisant des problèmes, je voulais passer à un NUC (avec docker ou via VM) et j’ai besoin de votre aide pour bien le choisir. I'm probably missing a big piece of information Sep 3, 2021 · Process Frigate images with DeepStack, Facebox, and CompreFace · Discussion #801 Double Take Unified UI and API for processing and training images for facial recognition. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. Jun 8, 2022 · Hello, I was wondering if anyone has tried all of these: Frigate vs Doods vs BlueIris vs Deepstack with Google Coral for object detection and could give us a summary of Pros / Cons for each of them ? Jan 9, 2022 · Let's Discuss. There may be other services running on your NAS that are using the same ports that frigate uses. Deepstack. At the moment, and surprisingly, CP is coming out on top. La détection semble bonne et efficace dans les 2 cas. I have frigate working, deepstack working, compreface working and doubletake working. As Yolo v7 came out, I found it the most accurate one, besides it works perfectly with Nvidia GPU via CUDA. May 27, 2023 · I’m trying to add Double Take/Deepstack to my already working Frigate. Using ipcam-combined is actually returning the correct object, ex. Why? There’s a lot of great open source software to perform facial recognition, but each of them behave differently. I use only one camera, tapo C200. HA and doubletake run on another ARM sbc along with photoprism for my photos which has CPU face recognition, so I used that to get training pics for family. I don’t honestly know what the division of labor is between double take and deepstack, but you are correct, double take connect Frigate events to Deepstack using MQTT and then updates the event if information is found. Blue Iris: Handles long term continuous recording along with motion snapshots using the build in deepstack functionality. Getting 8ms inference time across 3 cams running 30 fps each. Process Frigate images with DeepStack, Facebox, CompreFace, and AWS Rekognition 16 votes, 33 comments. This runs on a stand alone machine that does nothing else. It is recommended to start with a minimal configuration and add to it as described in this guide and use the built in configuration editor in Frigate's UI which supports validation. Frigate: Handles I'm setting up the holy trinity of smart home security consisting of HASS + Frigate + u/Jakowenko 's Double Take. Support Blue Iris vs Frigate/Deepstack (if it still exists?) vs ??? for person identification in 2024? (self. To enable recording video, add the record role to a stream and enable it in the config. true I use both here is my logic. When Frigate detects and attempts to recognize a face, it will appear in the Train tab of the Face Library, along with its associated recognition confidence. I've switched back and forth between CP and CF tweaking the config trying to get the most accuracy on facial recognition. Configuring double-take without hass os Hello Everyone! I recently migrated from has os to a standalone server with docker containers, and i was able to set up most of my add-ons without a problem, but I'm having problems with my frigate + double-take + deepstack setup. Frigate is running on an independant container (works well, streams and detects persons). Mar 17, 2021 · Double Take Unified UI and API for processing and training images for facial recognition. Aug 22, 2024 · I am running home assistant with add-ons double-take, deepstack and frigate-proxy. But compreface is much more accurate than deepstack. Not noticing much system load overhead adding deepstack and double-take. Double Take was created to abstract the complexities of the detection services and combine them into an easy to use UI and API. I’m looking for a method of seamless integration within HA. What I need is to take Does double-take work on top of Frigate's object detection? My understanding is that Frigate does its thing, detecting objects, and when it detects an object of the "person" kind this is forwarded to Deepstack (or whatever) for facial detection.

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