YoVDO

OpenCV DNN

Offered By: YouTube

Tags

OpenCV Courses Python Courses C++ Courses Neural Networks Courses Object Detection Courses GPU Computing Courses

Course Description

Overview

Explore the OpenCV DNN module and its applications in computer vision with GPU acceleration through this comprehensive tutorial series. Learn to deploy neural networks for high-speed object detection, implement object classification using TensorFlow, and perform monocular camera depth estimation in both Python and C++. Discover techniques for distance estimation to faces, create point clouds using deep learning, and master YOLOv5 custom object detection. Gain hands-on experience with practical examples and Python code for deploying various neural network models, including custom YOLOv5, using OpenCV.

Syllabus

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.
Deploy Neural Networks for Object Classification in OpenCV Python with TensorFlow.
Monocular Camera Depth Estimation with Neural Networks in OpenCV C++.
Python Monocular Camera Depth Estimation with Neural Networks in OpenCV.
Distance Estimation to Faces with a Monocular Camera using OpenCV Python and Neural Networks.
How To Create Point Clouds with Deep Learning and Neural Networks in OpenCV Python.
YOLOv5 Custom Object Detection with Code and Dataset - Neural Networks and Deep Learning.
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

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