This course provides an introduction to working with OpenCV, a powerful computer vision open-source library, with the goal of providing students with a strong foundation for furthering their knowledge. Learn how to install, set up, and use OpenCV with code, visual studio, and CMake, as well as how to use OpenCV with python and C++. Topics covered include noise, smoothing, and thresholding; what histograms can be used for; binary vision; camera calibration; stereo vision and depth estimation; hough transforms; edge detection; corner detection; and object detection using Haar cascade classifier. Learn to use OpenCV GPU with keras to run deep learning-based models and MediaPipe with OpenCV to work with high-performing programs. Explore 3D point cloud processing in Open3D with the goal of creating point clouds with a smartphone. Finally, explore topics like SIFT feature extraction, YOLOv5 object detection, pose estimation, and selfie segmentation with MediaPipe and OpenCV.
Overview
Syllabus
Introduction to Computer Vision and OpenCV C++ - OpenCV Tutorial.
How To Install OpenCV C++ and Use It With Microsoft Visual Studio.
Python vs C++ in Computer Vision.
Python VS C++ in OpenCV and Computer Vision - Speed and Performance Test with Code.
Noise, Smoothing and Thresholding - Computer Vision and OpenCV C++.
What Are Histograms and What Can They Be Used To - Computer Vision and OpenCV C++.
Histograms - Computer Vision and OpenCV C++.
Binary Vision - Computer Vision and OpenCV C++.
Camera Calibration With Code and Example in C++ - Computer Vision and OpenCV C++.
Image Transformations - Computer Vision and OpenCV C++.
Stereo Vision and Depth Estimation - Computer Vision and OpenCV C++ and Python.
Depth Estimation Using Stereo Vision - Computer Vision Project with OpenCV C++ Code.
Python Depth Estimation With Stereo Vision - Computer Vision and OpenCV Project.
Hough Transform Lines and Circles - Computer Vision and OpenCV C++.
Edge Detection with Canny Edge Detector - Computer Vision and OpenCV C++ | UPDATED VERSION.
Edge Detection - Computer Vision and OpenCV C++.
Corner Detection - Computer Vision and OpenCV C++ | UPDATED VERSION.
Corner Detection - Computer Vision and OpenCV C++.
Object Detection - Haar Cascade Classifier in Computer Vision and OpenCV C++.
Detection and Distance Estimation from a Single Camera - Computer Vision and OpenCV C++ Project.
Tesla FSD Beta v9.0 Explained - 4D Surround Cameras with Neural Networks.
Background Subtraction - Computer Vision and OpenCV in Python.
Live FPS Count with OpenCV in Python and C++ - Computer Vision Tutorial.
Camera Calibration in Python with OpenCV - Python Script with Images.
Depth Maps in OpenCV Python - Stereo Vision with Code and Examples.
Andrej Karpathy Talking about AI and Neural Networks at Tesla for Full Self Driving.
Pose Estimation of Objects in OpenCV Python.
How To Install OpenCV C++ and Set It Up in Visual Studio Code with CMake.
Introduction To MediaPipe Machine Learning Solutions - Computer Vision Projects.
Latest FACE DETECTION with 250+ FPS on CPU - MediaPipe and OpenCV Python.
Latest FACE MESH DETECTION with 100+ FPS on CPU - MediaPipe and OpenCV Python.
Latest HAND DETECTION with 60+ FPS on CPU - MediaPipe and OpenCV Python.
Latest 3D OBJECT DETECTION with 30+ FPS on CPU - MediaPipe and OpenCV Python.
Latest HOLISTIC DETECTION with 30+ FPS on CPU - MediaPipe and OpenCV Python.
How To Install and Build OpenCV with GPU for C++ | Visual Studio Code | NVIDIA Cuda and OpenCV 4.5.2.
How To Install and Build OpenCV with GPU for Python | VS Code | NVIDIA Cuda and OpenCV 4.5.2.
How To Setup OpenCV with GPU for C++ in Visual Studio 2019 | NVIDIA Cuda and OpenCV 4.5.2.
Introduction to OpenCV DNN Module - OpenCV and Computer Vision with GPU.
How To Deploy Neural Networks with OpenCV DNN and GPU in Python | 100+ FPS Object Detection.
How To Deploy Neural Networks with OpenCV DNN and GPU in C++ | 100+ FPS Object Detection.
GPU vs CPU in OpenCV and Computer Vision | OpenCV Cuda C++ | GPU IS UP TO 40X FASTER.
How to Estimate Depth with Stereo Vision in OpenCV Python - 3D Object Detection.
Python VS C++ in OpenCV and Computer Vision - Is C++ Outdated or Forgotten?.
How To Make Panorama Images with Image Stitching in OpenCV Python.
Introduction to OpenCV Cuda GPU in C++.
Core and Matrix Operations with OpenCV Cuda on GPU in C++.
Image Filters with OpenCV Cuda on GPU in C++.
Corner Detection with OpenCV Cuda on GPU in C++.
What You Should Know and Learn for Computer Vision and Artificial Intelligence in 2021.
Monocular Camera Depth Estimation with Neural Networks in OpenCV C++.
Python Monocular Camera Depth Estimation with Neural Networks in OpenCV.
Hough Transforms with OpenCV Cuda on GPU in C++.
Camera Calibration in MATLAB with Steps and Example.
Stereo Camera Calibration in MATLAB with Steps and Example.
Distance Estimation to Faces with a Monocular Camera using OpenCV Python and Neural Networks.
How To Create Point Clouds with Stereo Vision in OpenCV Python - Python Scripts with Images.
How To Create Point Clouds with Deep Learning and Neural Networks in OpenCV Python.
Optical Flow for Object Tracking and Trajectories in OpenCV Python.
Optical Flow for Motion Detection in OpenCV Python.
Introduction to Open3D and Point Clouds in Python.
Point Cloud Processing in Open3D with Python - Voxel Downsampling and Normal Estimation.
Point Cloud Processing in Open3D with Python - Basic Operations and Clustering.
Outlier Removal - Point Cloud Processing in Open3D with Python.
Create Point Clouds from Depth Maps - Point Cloud Processing in Open3D with Python.
Create Your Own Point Clouds from Depth Maps - Point Cloud Processing in Open3D with Python.
Pose Estimation of Point Clouds with ICP - Point Cloud Processing in Open3D with Python.
Global Registration for Pose Estimation - Point Cloud Processing in Open3D with Python.
Create Point Clouds With Your Smartphone.
YOLOv5 Custom Object Detection with Code and Dataset - Neural Networks and Deep Learning.
Pose Estimation of Point Clouds with Colors and ICP - Point Cloud Processing in Open3D with Python.
Latest SELFIE SEGMENTATION with 100+ FPS on CPU - MediaPipe and OpenCV Python.
Head Pose Estimation with MediaPipe and OpenCV in Python - OVER 100 FPS!!!.
SIFT Feature Extraction in OpenCV with Python - Computer Vision.
Python VS C++ Comparison in OpenCV - What to use for Speed and Performance?.
How To Deploy YOLOv5 Object Detection Model with OpenCV - With Example and Python Code.
How To Deploy Custom YOLOv5 Model for Object Detection with OpenCV - With Example and Python Code.
Taught by
The Coding Lib
