(Udemy) Modern Computer Vision™ PyTorch/ Tensorflow2 Keras & OpenCV4 (Rajeev D. Ratan)
About Course
Learn **Modern Computer Vision** with **PyTorch, Tensorflow2 Keras, and OpenCV4** completely free! This comprehensive course, taught by Rajeev D. Ratan, covers everything from the fundamentals of Computer Vision to cutting-edge deep learning techniques.
**Computer Vision is transforming the world!** From self-driving cars to medical imaging, the applications are endless. This course provides a clear path to mastering Computer Vision, helping you build in-demand skills and unlock exciting career opportunities.
Explore a **hands-on learning experience** using **Google Colab Notebooks**, making it easy to get started with no complex installations required. The course covers both **Classical Computer Vision** with **OpenCV** and **Deep Learning** with **PyTorch and TensorFlow Keras**, giving you a comprehensive understanding of the field.
**Here’s what you’ll learn:**
- **OpenCV fundamentals:** Image manipulation, contours, segmentation, object detection, facial recognition, and more.
- **Deep Learning foundations:** CNNs, transfer learning, generative adversarial networks (GANs), autoencoders, neural style transfer, and more.
- **Modern CNN Architectures:** ResNets, DenseNets, MobileNET, VGG19, InceptionV3, EfficientNET, and ViTs.
- **Advanced techniques:** Object detection (YOLOv5, Faster R-CNNs), deep segmentation (U-NET, SegNET), tracking (DeepSORT), and video classification.
- **Real-world projects:** Implement image captioning, optical character recognition (OCR), 3D computer vision, medical imaging analysis, and more.
**This course is perfect for:**
- Beginners interested in Computer Vision and Deep Learning.
- Data scientists and machine learning engineers looking to expand their skills.
- Students and professionals in related fields like robotics, image processing, and artificial intelligence.
**Enroll now and start your journey into the exciting world of Computer Vision!** This course is completely free of cost and available on Theetay, offering courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
Course Content
Introduction
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A Message from the Professor
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Course Introduction
11:30 -
Course Overview
11:27 -
What Makes Computer Vision Hard
06:07 -
What are Images
07:06
Download Code and Setup Colab
OpenCV – Image Operations
OpenCV – Image Segmentation
OpenCV – Haar Cascade Classifiers
OpenCV – Image Analysis and Transformation
OpenCV – Motion and Object Tracking
OpenCV – Facial Landmark Detection & Face Swaps
OpenCV Projects
OpenCV – Working With Video
Deep Learning in Computer Vision Introduction
Building CNNs in PyTorch
Building CNNs in TensorFlow with Keras
Assessing Model Performance
Improving Models and Advanced CNN Design
Visualizing What CNN’s Learn
Advamced Convolutional Neural Networks
Building and Loading Advanced CNN Archiectures and Rank-N Accuracy
Using Callbacks in Keras and PyTorch
PyTorch Lightning
Transfer Learning and Fine Tuning
Google DeepStream and Neural Style Transfer
Autoencoders
Generative Adversarial Networks (GANs)
Siamese Network
Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning
Object Detection
Modern Object Detectors – YOLO, EfficientDet, Detectron2
Gun Detector – Scaled-YoloV4
Mask Detector TFODAPI MobileNetV2_SSD
Sign Language Detector TFODAPI EfficentDet
Pothole Detector – TinyYOLOv4
Mushroom Detector Detectron2
Website Region Detector YOLOv4 Darknet
Drone Maritime Detector R-CNN
Chess Piece YOLOv3
Bloodcell Detector YOLOv5
Hard Hat Detector EfficentDet
Bloodcell Detector YOLOv5
Plant Doctor Detector YOLOv5
Deep Segmentation – U-Net, SegNet, DeeplabV3 and Mask R-CNN
Body Pose Estimation
Tracking with DeepSORT
Deep Fakes
Vision Transformers – ViTs
BiT BigTransfer Classifier Keras
Depth Estimation
Image Similarity using Metric Learning
Image Captioning with Keras
Video Classification usign CNN+RNN
Video Classification with Transformers
Point Cloud Classification PointNet
Point Cloud Segmentation Using PointNet
Medical Project – X-Ray Pneumonia Prediction
Medical Project – 3D CT Scan Classification
Low Light Image Enhancement MIRNet
Deploy your CV App using Flask RestFUL API & Web App
OCR Captcha Cracker
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