instant-ngp
frigate
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instant-ngp | frigate | |
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147 | 290 | |
15,260 | 14,468 | |
1.8% | - | |
6.7 | 9.8 | |
12 days ago | 5 days ago | |
Cuda | Python | |
GNU General Public License v3.0 or later | MIT License |
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instant-ngp
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Mind-blowing results (LORA/Checkpoint mix)
This is really cool! Could you now use something like this to turn the new images in a 3d model? Or even use open pose (controlnet) to generate a bunch of images from different angles and use InstantNeRF to make a 3d model for free!
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[D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
[Code] https://github.com/NVlabs/instant-ngp
[Project Page] https://nvlabs.github.io/instant-ngp/
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Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
instant-ngp ([1]) from NVIDIA can render NeRF in VR in real-time, assuming a very good desktop video card. Note that instant-ngp is not as photo-realistic as Zip-NeRF. But it's still very good!
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Do you think neural rendering ready in production?
We know that a lot of project with NERF, include (instant-ngp) https://github.com/NVlabs/instant-ngp or kaolin-wisp (https://github.com/NVIDIAGameWorks/kaolin-wisp)
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I know reflective surfaces are a no go, but how can this be done? 2 pics are from Metashape and 2 are from RC. Zero are good enough.
https://developer.nvidia.com/blog/getting-started-with-nvidia-instant-nerfs/ https://github.com/NVlabs/instant-ngp
Try using NeRFs like: - Lumalabs AI: https://lumalabs.ai/ - Nerfstudio (google colab or download it) - Nvidia instant NeRFs: https://github.com/NVlabs/instant-ngp
- NVIDIA NeRF installation?
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How to create virtual view/360 type view from known cameras?
I'd recommend starting with NVIDIA's "Instant Neural Graphics Primitives": https://github.com/NVlabs/instant-ngp because it trains the NeRF in seconds (it sped up the state of the art by like 10,000x. It's insane fast)
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Game development is about to go wild with AI
There is https://github.com/NVlabs/instant-ngp that can do it.
frigate
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Unable to re add my server to HAOS integration
Logger: custom_components.frigate Source: custom_components/frigate/__init__.py:201 Integration: Frigate (documentation, issues) First occurred: 1:59:34 AM (2 occurrences) Last logged: 1:59:48 AM
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Ask HN: How have you engineered the shit out of your home's front entrance?
Engineering implies working within constraints. Most people in this realm only have to deal with the spouse acceptance factor as a limiter.
Went from openhab -> homeassistant -> Node-RED. Then sprinkle in MySensors, Frigate, and Double-Take, but not on just the entrance, go for the perimeter then defense in depth.
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Frigate: Open-source network video recorder with real-time AI object detection
- https://github.com/blakeblackshear/frigate/discussions/7932#...
I have found my frigate+ model to be much more accurate and crazy good even at night. Will be curious how things change when it snows here more often, since I've not submitted any examples of winter at this house yet.
Consider checking if you can compute everything on a single Orange Pi 5 first. It seems that preliminary support has been merged!
I believe you can trigger recording with mqtt, so you could make an automation for it. You could try to bump this https://github.com/blakeblackshear/frigate/issues/2590#issue.... You could even try to use ai to write the feature.
There's only been one incident where I would have liked continuous, I've tweaked events to be more than enough.
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A PCIe Coral TPU Finally Works on Raspberry Pi 5
According to the author of that PR, they're using 10% of 1 NPU core on 3 cameras: https://github.com/blakeblackshear/frigate/pull/8382#issueco...
The bottleneck instead will probably be the video stream decoding speed, especially as the SoC's hardware decoder isn't being used yet.
One of the most popular uses I've seen for Coral, Frigate for object detection for security cameras, recently added support for the RK3588 NPUs too: https://github.com/blakeblackshear/frigate/pull/8382 . I think it requiring a RK3588 makes it a bit annoying to have to upgrade your entire setup just for this though.
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Proper way to stream JSMPEG files in React Native
The project I'm working on is a fully open sourced app for the Frigate NVR application. The repo for the project can be found here, and that's the branch where I'm trying to figure this out.
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My new Ring security setup without using ring (Home assistant + Alarmo)
My next goal is to ditch all my Google cameras with Amcrest ones using (Frigate NVR) and a coral.ai chip. This will get rid of the monthly subscription fees and leave me with products that will last until they fail.
What are some alternatives?
motioneye - A web frontend for the motion daemon.
Shinobi - :peace_symbol: :palestinian_territories: Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer
viseron - Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
scrypted - Scrypted is a high performance home video integration and automation platform
HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection
docker-wyze-bridge - WebRTC/RTSP/RTMP/LL-HLS bridge for Wyze cams in a docker container
Agent - 👮 A PHP desktop/mobile user agent parser with support for Laravel, based on Mobiledetect
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
Zoneminder - ZoneMinder is a free, open source Closed-circuit television software application developed for Linux which supports IP, USB and Analog cameras.
SynoAI - A Synology Surveillance Station notification system utilising DeepStack AI
iSpy - Open source surveillance software
CompreFace - Leading free and open-source face recognition system