Social_Distancing_with_AI
tutorial-face-mask-detection
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| Social_Distancing_with_AI | tutorial-face-mask-detection | |
|---|---|---|
| 2 | 1 | |
| 60 | 86 | |
| - | - | |
| 2.7 | 10.0 | |
| over 2 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Social_Distancing_with_AI
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Getting the most out of my data?
I was applying [this project](https://github.com/rohanrao619/Social_Distancing_with_AI) to some local CCTV footage I have. Came out real nice. TLDR - it's an AI that tracks people in footage, and checks whether they're wearing masks or not, and keeping their social distance or not. Textual results, for example, look like this:
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Turning a Kaggle dataset into an .h5?
Yes, I know my title is dumb and makes no sense. I am just getting into this, and I thought I'd play around a bit. I was looking at this [repo](https://github.com/rohanrao619/Social_Distancing_with_AI).
tutorial-face-mask-detection
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Face Mask Detection - tutorial
Our validation and testing data consists of images of people with and without masks that we collected from various sources that provide images with permissive licences (e.g. pexels.com, unsplash.com). We have manually annotated all faces in the collected images, and labeled them as being masked or not (using the makesense.ai annotation tool). We collected 273 images which contain 524 faces (246 masked and 278 non-masked). The images are split 50/50 over the validation set and test set. An overview of the collected data and corresponding URLs and ground truth annotations can be found in test_validation_metadata.csv.
What are some alternatives?
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
SeeAI - Enabling computers to perform NLP on data obtained from advanced computer vision
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
DSFD-Pytorch-Inference - A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building. [Moved to: https://github.com/datarootsio/tutorial-face-mask-detection]
Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards
Steganography - Hiding Text and Image inside an Image
observations