openalpr
darknet
openalpr | darknet | |
---|---|---|
29 | 62 | |
10,897 | 21,466 | |
0.1% | - | |
0.0 | 6.5 | |
4 months ago | 5 days ago | |
C++ | C | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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openalpr
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Hackers manage to unlock Tesla software-locked features
Why is ANPR unlawful for private citizens to perform on their own footage? (e.g. using https://www.openalpr.com)
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Pulled over for expired inspection but…
You can actually build your own using OpenALPR: https://github.com/openalpr/openalpr/wiki/OpenALPR-Design
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Looking for camera recommendations to record crimes happening across the street
You can try also using it paired with something like openalpr or plate recognizer. Both have cheap options, plate recognizer offers a free plan with 2,500 lookups.
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license plate reader
if anyone knows an up-to-date license plate reader version. https://github.com/openalpr/openalpr is outated, doesn't read different angles natively, traning tools are also outated etc but anyone knows an open source version that as well as say https://platerecognizer.com/ or even https://www.openalpr.com/ please let me know.
- to prevent their car from getting towed.
- FasTrack Question
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Lightfoot proposes CTA bus cameras, other video surveillance to nail motorists who block bus or bike lanes, loading zones
I like the idea of crowd sourced proof of infractions. You could easily extract EXIF data to grab date/time/location and also use openalpr to automate data input for human review.
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Game over for reckless driver's high score of $11802
openALPR (Automatic License Plate Recognition) + DCDMV integration + raspberry pi + a GPS cap on the RPi + decent webcam + OpenMaps (you don't even need this unless you want to plot it); Maybe add a condition to send plate location over $XXXX to some traffic enforcement distros. Hardware for a setup will probably run $250 tops if you're going fancy
- quais são minhas opções para ANPR de placas BR (moto, carro e caminhão, se possível) open source?
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Viseron 2.0.0 - Self-hosted, local only NVR and AI Computer Vision software.
Oh, It was my school project something like that, and I use some YOLO's and OpenALPR, openalpr is amazing give it a try: OpenALPR https://github.com/openalpr/openalpr
darknet
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Anybody building ML models in C++?
YoloV3/4 is C based if that counts: https://github.com/AlexeyAB/darknet
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[D] Fixing the angle of Skewed Paintings, see comments
This is all well-known information, see any (and all!) previous discussions when YOLOv5 comes up. For details: https://github.com/AlexeyAB/darknet/issues/5920
- Viseron 2.0.0 - Self-hosted, local only NVR and AI Computer Vision software.
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How do I train YOLO5 to detect small objects (arial imagery). something like 20-20 pixels or maybe little more? How do I increase resolution and apply augmentation and tiling? Or maybe the YOLO5 is not he best choice for that?
2) YOLOv5 is both slower and less precise than YOLOv4. Why use YOLOv5? Source: https://github.com/AlexeyAB/darknet/issues/5920
- Machine learning Library in C?
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I just realized yolov5 is GPL-3
So my recommendation is you stuck with Darknet/YOLO and use v4 of YOLO. The Darknet framework license is definitely suitable for commercial use: https://github.com/AlexeyAB/darknet/blob/master/LICENSE
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GPL vs MIT.
Still to long. Here's my favourite license: https://github.com/AlexeyAB/darknet/blob/master/LICENSE
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I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.
When YOLOv7 was out, I built a web app to test it against the classic YOLOv4 and shared it with my team, then deployed it online to share with the community.
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Does reducing the number of classes on YOLOv5 make it faster at inference?
If you're worried about performance, you shouldn't be using YOLOv5 since it is slower (and less accurate!) than YOLOv4. Source: https://github.com/AlexeyAB/darknet/issues/5920
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[D] DarkNet YOLOv4 with CUDA 11.7 in Windows?
I looked around online but I only found this post discussing a related issue, leading me to think there seems to be some sort of compatibility issue going on here. And I think this is the most recent version of the file I am trying to compile located on the exact same folder where my copy is and when I opened it it shows CUDA 11.1 in line 307.
What are some alternatives?
ha-openalpr - OpenALPR Number Plate Recognition for Home Assistant
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
ansible-role-nebula - Ansible role to install Nebula Mesh overlay
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
deep-license-plate-recognition - Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
helm-charts - Helm Chart Repository
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go
darknet_ros - YOLO ROS: Real-Time Object Detection for ROS