pytracking
Face Recognition
pytracking | Face Recognition | |
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5 | 34 | |
3,086 | 51,755 | |
1.8% | - | |
5.1 | 0.0 | |
about 2 months ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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.
pytracking
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Need help with an idea I had to record my kids soccer games
A third way to do it, is using some form of algorithm which allows you to select a video target to track. Something like this: https://github.com/visionml/pytracking. The algorithm can probably output the XY coordinates of the object its tracking, which is sent to the same mechanism described above.
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ETH Zurich Team Introduce Exemplar Transformers: A New Efficient Transformer Layer For Real-Time Visual Object Tracking
Github: https://github.com/visionml/pytracking
Looking at this diagram, it looks kinda like a Kalman Filter schematic
- [R] ETH Zurich Proposes Exemplar Transformers: Robust Visual Tracking That’s 8x Faster and CPU-Compatible
Face Recognition
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Security Image Recognition
Camera connected to a PI? Something like this could run locally: https://github.com/ageitgey/face_recognition
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Facial recognition software/API for face-blind teacher?
Have you tried this repo: github
- GitHub - ageitgey/face_recognition: The world's simplest facial recognition api for Python and the command line
- The simplest facial recognition API for Python
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Every thing you need to know about Machine Learning Pipeline
One of the most common challenges is the black-box problem, when the pipeline becomes too complex to understand it would happen. This can make it difficult to identify issues with the system or to understand why it isn't working as we expected or make accurate predictions that saiwa company find out the solution for Face Recognition. Another challenge is the time required for organizations to deploy a machine learning model, which is increasing and make real-time computing difficult . To overcome these challenges, it's important to have an efficient and rigorous ML pipeline . ML level 0 involves a manual process with its own set of challenges, while ML level 1 involves ML pipeline automation and additional components . A well-defined machine learning pipeline can help to abstract the complex process into a series of steps, allowing each team to work independently on specific tasks such as data collection, data preparation, model training, model evaluation, and model deployment.
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Reverse image search / facial recognition
Second link is an easy to implement python library is you want to build it yourself https://github.com/ageitgey/face_recognition
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Made a easy to use face recognition library
It is similar to https://github.com/ageitgey/face_recognition, except that Ageitgey's cli only compares the first face found in the image to the first one found the the second.
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Salisbury council meeting minutes addressing conspiracy theorist councillors
You'd have alot more luck with something like DLIB or an open source implementation such as: https://github.com/ageitgey/face_recognition
- Face comparison in Stable Diffusion
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Understanding different Algorithms for Facial Recognition
To know more about face_recognition module https://github.com/ageitgey/face_recognition
What are some alternatives?
pysot - SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
insightface - State-of-the-art 2D and 3D Face Analysis Project
django-matomo - A simple app to add the Matomo JS tracking code to your template.
CompreFace - Leading free and open-source face recognition system
vision - Datasets, Transforms and Models specific to Computer Vision
Milvus - A cloud-native vector database, storage for next generation AI applications
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
OpenCV - Open Source Computer Vision Library
GTR - Global Tracking Transformers, CVPR 2022
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
pombo - Theft-recovery tracking opensource software.
Kornia - Geometric Computer Vision Library for Spatial AI