Explanation
Face Mask Recognition: Deep Learning based Desktop App I will start the course by installing Python and installing the necessary Python libraries to develop an end-to-end project. Then I will teach you one of the course requirements which is OpenCV drawing techniques and the mathematical concepts behind the drawings. We will also do the necessary image analysis and the necessary preliminary steps for the images. Then we will do a small project on Face Detection using OpenCV and Deep Neural Networks. With the basic concepts of photography, we will then start our project phase-1, facial recognition. In this phase we will start with preliminary images and extract features from the images using deep neural networks.
After using facial features, we will train different types of deep learning such as Convolutional Neural Network. We will teach model selection and hyperparameter tuning for facial recognition models. Once our deep learning model is ready, we will move on to Part-3, and write the code to make CNN model predictions. Finally, we will develop a desktop application and make predictions about live video streaming. what are you waiting for? Start the course to develop your own Brain Application Project in Computer Vision using Machine Learning, Python and put the Cloud into your hands.
What will you learn?
- Face recognition for mask detection with deep learning
- Create a Convolutional Network for Face Mask Scraping using TensorFlow
- Pre-process the big picture data
- OpenCV for Face Detection
- Desktop Vision Application with PyQt
- Key Concepts of PyQt
Who is this course for?
- Anyone who wants to develop a facial recognition application
Facial Mask Recognition: A Deep Learning Based Desktop App
Includes 2022-6
Requirements
- Basic Python knowledge
- Proficient in Tensor Flow and Deep Learning
- Familiar with Numpy and Pandas
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
1.22GB