Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

One-shot Learning and deep face recognition notebooks and workshop materials

Notebook for accessing local webcam within Google Colab on Images and Videos. Basic tutorial running face detection on webcam image and video.

Projeto final de conclusão da disciplina de Visão Computacional voltado a auditoria de vídeo e construção de classificadores baseado em transfer learning.

This code pattern uses Watson Visual Recognition, Watson Studio, and a Python notebook to demonstrate a way to detect covered faces.

🪐🐍 Artificial Intelligence that detects peoples' faces\eyes and objects' motions. Try it out! I am sure that you will think: 'Yowzaaa!!!' 🪐🐍 (🔑 KeyWords: python, jupyter notebook, pandas, opencv, AI, Artificial Intelligence, webcam, detection, face detection, eye detection, motion detection 🔑)

Basic OpenCV Projects like Face Detection, Contour, Edge Detection etc

The deep_utils' notebooks are stored in this repository

my notebooks for computer vision projects

Face Swapping Beteenm people. A Simple colab notebook testing.

A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection

This notebook uses SVM for face detection

Jupyter notebooks with exercises for a multimedia intro course.

A capstone project from OpenCV from opencv.org. IDE - Jupyter notebook

Support Vector Machine by using python and jupyter notebookes , its a Face Detection System

Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook

This is the notebooks I made as a coordinator of an ML refresher course hosted by Coding Club, IIT Guwahati

Testing Facenet and Tensorflow on Winston Churchill!

The data, scripts, notebooks, and models to reproduce the results from the Master's thesis "Using deep learning to appraise gender representativeness in animated films".

Face detection and recognition into 6 classes of some famous personalities.