A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
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Updated
May 4, 2019 - Python
A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.
Image Upload from Android to Python-Based Flask Server
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images (ICCV 2021)
Public repository for the Introduction to modeling cognitive processes book.
Tutorial and framework code for deep learning in biomedical applications with PyTorch and (if necessary) Google Cloud Platform.
Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳
MATLAB utility to switch between Anaconda environments
Simple Docker project for Learning/Developing with Anaconda/Python.
Python (.py) and Jupyter notebook (.ipynb) implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.
In this repository, I have written about my experiences in studying Machine learning. Also, I have included the solutions of some Machine learning exercises and my educational projects.
数据航班可视化
A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.
Build OpenCV from sources with cuda in anaconda3
Alpine Linux based image with Python 3.7 and necessary OS level dependencies (OpenSSL, gcc, ODBC driver, etc).
This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters
High performance Miniconda (Python 3) for docker that runs ~20% faster than the official image
Machine learning tutorial with examples
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