open_model_zoo
Face Recognition
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open_model_zoo | Face Recognition | |
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5 | 34 | |
3,945 | 51,755 | |
1.6% | - | |
8.6 | 0.0 | |
about 21 hours ago | 2 months ago | |
Python | Python | |
Apache License 2.0 | 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.
open_model_zoo
- FLaNK Stack Weekly 06 Nov 2023
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[D] Is BERT going to be obsolete by ChatGPT?
Search engines and chatbots are rapidly advancing with the introduction of ChatGPT, but search engines are still running on models like BERT (Bidirectional Encoder Representations from Transformers) for question-answer functionality. An interesting OpenVINO jupyter notebook #213 demonstrating question-answer functionality with a SQuAD v1.1 training set trained BERT model and transformer functions using either an embedded paragraph or a link to a website. I find it still really compelling to see how this works, basically how our widely used search engines function though on a much bigger scale.
- computer vision with Intel integrated GPU
- student in desperate need of help/ guidance
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Openvino demos missing libraries
If not, below a github link https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/common/python
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?
deepstream-occupancy-analytics - This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.
insightface - State-of-the-art 2D and 3D Face Analysis Project
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
CompreFace - Leading free and open-source face recognition system
pyvideotrans - Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言,并添加配音
Milvus - A cloud-native vector database, storage for next generation AI applications
tensorflow-open_nsfw - Tensorflow Implementation of Yahoo's Open NSFW Model
OpenCV - Open Source Computer Vision Library
openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
gpt-llm-trainer
Kornia - Geometric Computer Vision Library for Spatial AI