alpr-unconstrained
viseron
| alpr-unconstrained | viseron | |
|---|---|---|
| 2 | 13 | |
| 1,692 | 1,407 | |
| - | - | |
| 0.0 | 9.1 | |
| almost 2 years ago | 6 days ago | |
| C | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
alpr-unconstrained
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There's such an influx of people that aren't paying their tabs, can someone explain? Feel like there's no enforcement anymore... This is a season ticket owner!
You can even do something similar using your computer with a camera https://github.com/sergiomsilva/alpr-unconstrained
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License plate request, please. Hit and run my dog
Try an alpr or a dlpr. I can't spoonfeed you unfortuantely, but if you are interested in finding out the plate number you can by using these or similar tools.
viseron
- Viseron 2.2.0 - Self-hosted, local only NVR and AI Computer Vision software.
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PoE Camera Recommendations
I'm using 4 Dahua turret cameras, also setup exactly like u/o4b describes. Works flawlessly. While I'm also using Frigate, there's another similar piece of software called Viseron that I've just become aware of that looks similar. I can't speak for it at all as I'm very happy with Frigate, but if you're starting from nothing, you may as well consider which may work better for you.
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Viseron 2.0.0 - Self-hosted, local only NVR and AI Computer Vision software.
Check out the release notes: https://github.com/roflcoopter/viseron/releases/tag/v2.0.0
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surveillance station
Viseron
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Best self-hosteable NVR
I have been using zoneminder for years and love it. If you can actually get a tensorflow unit, Frigate can be good. Just heard about Viseron, and am looking at trying it. https://github.com/roflcoopter/viseron
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Have 16-camera Reolink NVR, looking for self-hosted person detection and notification solution
There is also: https://github.com/roflcoopter/viseron - which again, using mqtt. You would need to bridge it to Signal.
- Frigate without a coral? Worried about my CPU being hammered.
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Six-core CPUs finally overtake quad-core processors on Steam
I do love having my threadripper in my home docker server though. Home assistant, plex, viseron, etc. all love the available CPU.
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Indoor home security camera with privacy in mind
If not motioneye, there are a bunch of other free options. I run zoneminder - it should work there with filters to move clips from primary storage on a schedule. You could do it with this one + rclone as well: https://github.com/roflcoopter/viseron
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My wife and brother worked together to get me an RPi4 for Xmas! I'm so excited to throw HomeAssistant on it once we get home
viseron works pretty well for me with cpu only.
What are some alternatives?
deep-license-plate-recognition - Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
frigate - NVR with realtime local object detection for IP cameras
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
moonfire-nvr - Moonfire NVR, a security camera network video recorder
darknet-nnpack - Darknet with NNPACK
OS-NVR - OS-NVR is a lightweight extensible CCTV system. Mirror of Codeberg.
nnstreamer - :twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
os-nvr
Keras - Deep Learning for humans
frigate-hass-integration - Frigate integration for Home Assistant
mousehunter-edge - Cat with prey detection on Raspberry Pi. Lock cat pet flap if prey is detected. Object detection implemented in TFLite with ImageNet v1 SSD. Inference on EdgeTPU (Google Coral USB). Stores images on AWS S3 and sends notifications to iOS device.
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch