DarkPlate
License plate parsing using Darknet and YOLO (by stephanecharette)
Pine
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO. (by petercunha)
| DarkPlate | Pine | |
|---|---|---|
| 6 | 5 | |
| 53 | 435 | |
| - | - | |
| 0.0 | 2.6 | |
| about 1 year ago | almost 3 years ago | |
| C++ | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
DarkPlate
Posts with mentions or reviews of DarkPlate.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-26.
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Need Help to Design an OCR for number plate test extraction
Take a look at DarkPlate, which can process either videos or static images: https://github.com/stephanecharette/DarkPlate
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Help with video data for custom yolov3 model
This is how I would do it: https://github.com/stephanecharette/DarkPlate
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I have a set of images with instances of two classes are labeled on it. Can I train Yolo V5 or V4 to detect both classes on a test image?
Here is an example project with 37 classes, and all the images are within the same folder: https://github.com/stephanecharette/DarkPlate/tree/master/nn
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What is the best way to process video frames in darknet for YOLO object detection?
1) At the very bottom of this page: https://www.ccoderun.ca/darkhelp/api/API.html 2) This example github project: https://github.com/stephanecharette/DarkPlate
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What are some of the best models/approaches for number plate recognition?
I use YOLOv4-tiny. I make two passes with the same neural network. First pass to find the plate, 2nd pass to read the characters. Demo (skip to 86 seconds): https://www.youtube.com/watch?v=jz97_-PCxl4&t=86s and code: https://github.com/stephanecharette/DarkPlate
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need advice on a opencv project [Question] [Project]
See here for example, where frames are extracted and then passed to the neural network for processing: https://github.com/stephanecharette/DarkPlate/blob/master/src/main.cpp#L216-L217
Pine
Posts with mentions or reviews of Pine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-05.
- Microsoft are actually the ones to bring Fortnite to Linux
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Thank You, Valve
Maybe check out some existing ones before confidently making such a claim? E.g. https://github.com/petercunha/Pine. IIRC there are even high quality image recognition-based aimbots for sale; can’t find them right now.
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Totem Esports who placed 9th in EMEA pro league split 1 signs a coach!
Pine’s Fortnite Aimbot
What are some alternatives?
When comparing DarkPlate and Pine you can also consider the following projects:
DarkHelp - C++ wrapper library for Darknet
lunar - a neural network aim assist that uses real-time object detection accelerated with CUDA on Nvidia GPUs