A-S-A-D-ULLAH/Face-Detection-using-OpenCV A-S-A-D-ULLAH/Face-Detection-using-OpenCV

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    Jupyter Notebook
  • Created almost 3 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
A-S-A-D-ULLAH/Face-Detection-using-OpenCV
github

A-S-A-D-ULLAH

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

In this I will show, how we can use python opencv image processing library to detect faces, draw rectangle around faces and crop faces in jupyter notebook.

More Repositories

1

Weather-classification-using-machine-learning

Weather classification is a machine learning project in which we predict the weather of different place in the world according to longitude and latitude. For classification we use 5 classification algorithm for this purpose. This is a complete project and Activity diagram is also included.
Jupyter Notebook
5
star
2

Gender-Detection-using-OpenCV

Gender detection is one of the popular computer vision applications. When you use a camera to detect a person’s gender instead of detecting it on a picture, it can be said to be a realtime gender detection system. I hope you liked this article on Realtime Gender Detection using Python. Feel free to ask your valuable questions in the comments section below.
Jupyter Notebook
3
star
3

Covid-19-Detection-using-chest-X-Ray

In this project we detect Corona virus through chest x-ray. We have dataset of positive and negative x-ray images. So we use sequential model. If you give image of x-ray it will extract feature from it. Then on those feature it predict the result. Second model we trained is also sequential model in which we did the layers tunning.
Jupyter Notebook
3
star
4

Bitcoin-price-prediction-using-machine-learning

Predicting the price of cryptocurrencies is one of the popular case studies in the data science community. The prices of stocks and cryptocurrencies don’t just depend on the number of people who buy or sell them. Today, the change in the prices of these investments also depends on the changes in the financial policies of the government regarding any cryptocurrency. The feelings of people towards a particular cryptocurrency or personality who directly or indirectly endorse a cryptocurrency also result in a huge buying and selling of a particular cryptocurrency, resulting in a change in prices.
Jupyter Notebook
3
star
5

Real-time-Face-Detection-

In this project we detect faces in real time. I use open cv and harcascade.
Jupyter Notebook
3
star
6

gamepython

game of chess
Jupyter Notebook
2
star
7

My-Calculator

Java
2
star
8

LifeCycle_Activity

Java
2
star
9

Watermark-Detection-using-InseptionResnetV2-

This algorithm detect watermark on images. The InceptionResnetV2 is used for detection purpose achieving a great testing accuracy. This model is used for many purposes like housing websites etc.
Jupyter Notebook
2
star
10

Sops-Monitoring-and-Detection-Mask-and-Social-distancing-YoloV3

SOP’s Detection is a modern project in field of computer vision (image processing). Our goal is to detect the humans in the video that are not following the main two SOP’s which are social distancing and face mask. This is completed FYP project contain Frontend as well.
Jupyter Notebook
2
star
11

Crack-Detection-using-Transfer-Learning-ResNet50-

This project is aimed at detecting cracks in images using transfer learning with ResNet50. This project uses a pre-trained ResNet50 model, which has been fine-tuned on a dataset of images containing cracks and non-cracks, to detect cracks in new images.
Jupyter Notebook
2
star
12

Deep_Learning_BWF_Asad_Ullah

Jupyter Notebook
1
star
13

Faulty-Steel-Plates-Detection-using-Machine-Learning

The objective is to analyze the impact of luminosity, sigmoid of areas, pastry, stains, dirtiness, and bumps on defects of stainless-steel plates.
Jupyter Notebook
1
star
14

Predict-age-gender-and-ethnicity-from-image-using-Deep-Learning

The proposed model is to predict a person's age, gender, and ethnicity with a grayscale image of that person.
Jupyter Notebook
1
star
15

Asad-Ullah.github.io

HTML
1
star
16

A-S-A-D-ULLAH

1
star
17

Tweets-Classifications-using-Machine-Learning-and-NLP-techniques-

The goal of this project is to use machine learning algorithms and natural language processing techniques to categories tweets according to their topic. To categories tweets into one of four categories—sports and gaming, business and entrepreneurs, everyday life, and pop culture—we will use logistic regression and Naive Bayes classifiers.
Jupyter Notebook
1
star