Face recognition with trained classifiers for detecting objects using OpenCV

Last update: Oct 31, 2021

Overview

Face_Detector

Face recognition with trained classifiers for detecting objects using OpenCV

Libraries required to be installed using pip Command:

cv2
numpy
dlib

Using webcam code:

cap = cv2.VideoCapture(1)

For PC or Laptop webcam code :

cap = cv2.VideoCapture(0)

Owner

Chumui Tripura

👋 Hi, I’m @Chumuitripura45.I’m interested in Computer Vision and Deep Learning.Currently learning Java, Mobile app development. I’m looking to collaborate on..

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Face recognition with trained classifiers for detecting objects using OpenCV

Related tags

Overview

Face_Detector

Libraries required to be installed using pip Command:

Using webcam code:

For PC or Laptop webcam code :

Owner

Chumui Tripura

Pytorch code for our paper Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains)

Official repository for Fourier model that can generate periodic signals

Code for GNMR in ICDE 2021

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Source code for our paper "Empathetic Response Generation with State Management"

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Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Neural Scene Flow Prior (NeurIPS 2021 spotlight)

Benchmark spaces - Benchmarks of how well different two dimensional spaces work for clustering algorithms

N-gram models- Unsmoothed, Laplace, Deleted Interpolation

This is the accompanying toolbox for the paper "A Survey on GANs for Anomaly Detection"

Code for Environment Inference for Invariant Learning (ICML 2020 UDL Workshop Paper)

ReAct: Out-of-distribution Detection With Rectified Activations

Implementation of the state-of-the-art vision transformers with tensorflow

Revisiting Temporal Alignment for Video Restoration

Code release for ICCV 2021 paper "Anticipative Video Transformer"

A pytorch implementation of faster RCNN detection framework (Use detectron2, it's a masterpiece)

Source codes for Improved Few-Shot Visual Classification (CVPR 2020), Enhancing Few-Shot Image Classification with Unlabelled Examples

This project helps to colorize grayscale images using multiple exemplars.

Img-process-manual - Utilize Python Numpy and Matplotlib to realize OpenCV baisc image processing function