Social_Distancing_with_AI
COVID-CT
| Social_Distancing_with_AI | COVID-CT | |
|---|---|---|
| 2 | 1 | |
| 62 | 1,078 | |
| - | - | |
| 2.7 | 0.0 | |
| over 2 years ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| 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).
COVID-CT
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Build an Image Classification API Using Django Rest Framework.
CT Scan images (750 images) were obtained from: https://github.com/UCSD-AI4H/COVID-CT/tree/master/Data-split
What are some alternatives?
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Django-Covid-19-Detector-API
SeeAI - Enabling computers to perform NLP on data obtained from advanced computer vision
SKAB - SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
tutorial-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.
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
mac-miller-lyrics-dataset - Dataset with lyrics from Mac Miller
xrays-and-gradcam - Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
covid-chestxray-dataset - We are building an open database of COVID-19 cases with chest X-ray or CT images.