Object Detection (Opencv and Deep Learning) – Full program

1. Object Detection with OPENCV

On the first module you learn 4 different object detection methods using the Opencv library.

Intro: 4 detection models 9m |

1 Object detection by color:

1.1 The HSV Colorspace 35m | | Python code

1.2 Detect objects on an Image and in Real Time 34m | | Python code

2 Object detection on homogeneous background:

2.1 The Threshold 17m | | Python code

2.2 Detect objects on an Image and in Real time 20m | | Python code

3 Object detection with background subtraction:

3.1 Simple background subtraction and MOG 24m | | Python code

3.2 Detect objects on an Image and In Real Time 25m | | Python code

4 Object detection using features:

4.1 What are Features and Feature Matching 20m | | Python code

4.2 Detect objects on an Image and in Real Time 25m | | Python code

4.3 Improve the detection with Lowe’s ratio test 19m | | Python code

2. Object Detection with Deep Learning

On the second module you learn object detection methods using Deep learning with YoloV4

Intro: Object detection with Deep Learning 9m

1 Detect Object with YOLO 31m | | Python code

2 Dataset:

2.1 Create an Image Dataset 13m |

2.2 Download Dataset from OID 14m | | Notebook

3 Train Custom Object Detector

3.1 Train custom object detector on CUDA GPU (on Windows) 56m | | Python code

3.2 Train custom object detector online (on Google Colab) 27m | | Notebook

3.3 Calculate the precision of your model coming soon

3.4 Solve most common errors (cuda out of memory, etc.) coming soon

4 Detect Custom Objects

4.1 Detect Custom Objects on an Image 11m | | Python code

4.2 Detect Custom Objects in real time (with CUDA GPU) 13m | | Python code

3. Object Tracking

In the third module we Object Tracking and Object Counting

1. Object Detection vs Object Tracking 20m | | Python code

2. Object Tracking (with Euclidean Distance) 31m | | Python code

3. Object Tracking (with SORT) 27m | | Python code

4. Object Tracking (YOLO + SORT) 29m | | Python code

5. Object Counting 25m | | Python code

4. Object Detection on Raspberry pi and Jetson Nano

Learn how to easily deploy your object detection models on Raspberry pi and Jetson Nano

Raspberry PI:

Raspberry PI Setup (Install Rasperry PI OS and Opencv) 17m |

Detect Objects with Opencv and YOLO 18m |

NVidia Jetson Nano:

Jetson Nano Setup (Install OS, Opencv GPU and more) 36m |

Real time object detection YOLO 13m |

Installations

Step-by-Step instructions for all the necessary installations

Install Python and Opencv (on Windows) 7m |

PyCharm IDE (Install, create new projects, useful shortcuts) 14m |

Install Opencv with CUDA GPU (on Windows) 33m |

Install Darknet with CUDA GPU (on Windows) 15m |