multi-object-tracker
OpenCV
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| multi-object-tracker | OpenCV | |
|---|---|---|
| 4 | 171 | |
| 610 | 67,415 | |
| - | 2.0% | |
| 3.9 | 9.8 | |
| 4 months ago | 6 days ago | |
| Python | C++ | |
| MIT License | Apache License 2.0 |
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.
multi-object-tracker
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Tracking mentions began in Dec 2020.
OpenCV
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Inafara de jocuri dezvoltate in Unreal Engine, ce tipuri de proiecte utilizeaza C++ in ziua de azi?
Sau aici: https://github.com/opencv/opencv
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Fun with a mobile base, computer vision, and OpenAI/ChatGPT
here they are
- Programm das auf Bestimmte Sachen reagiert.
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OpenAI Execs Say They're Shocked by ChatGPT's Popularity
OpenCV? Open.
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Building a Deep learning model with Keras and ResNet-50
You first import the OpenCV library. It will pre-process the selected flower image to ensure it has the same dimensions as the images that trained the deep learning model.
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[Discussion] Any other ways to find convergence of pixels by color?
If that’s of interest, OpenCV provides a detailed stitching example, although my revision is likely a fair amount easier to follow and understand (but it’s been optimised for video, so if you’re wanting to use it with minimal modification you’ll need to provide your images in a sequence where each image has overlap with the one before it, not in a random order).
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10 open source projects you should be aware of in 2023
2. OpenCV
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Does there exist an API accessible from C# that detects faces in images?
Alternatively, you can get into the nitty gritty of face detection yourself. OpenCV is a massive, open source project for all kinds computer vision tasks. Without jumping into the proprietary world, this is one of the most popular and capable computer vision libraries available. While powerful, OpenCV is comparatively low level; giving you the tools you need to accomplish your task, rather than a direct, single method to call. This tutorial goes into depth on how you'd go about training facial models to create your own detection methods. You'll notice that the example is written in C++. The con with this option (aside from it being more complex) is that OpenCV is largely used in the context of C++ or Python. However, it does have C# wrappers. Emgu CV is probably the most popular .NET wrapper for OpenCV, though there are other wrappers available. Here is a nice tutorial using OpenCVSharp, which is a bit closer to the native C++ API OpenCV uses.
- TrackerCSRT source code
- Detecting color rectangles
What are some alternatives?
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
libvips - A fast image processing library with low memory needs.
VTK - Mirror of Visualization Toolkit repository
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
SimpleCV - The Open Source Framework for Machine Vision
imagick - Go binding to ImageMagick's MagickWand C API
scikit-image - Image processing in Python
ITK - Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.