Learn Object Detection Tracking and Counting with DL, ML
Object Detection, Tracking & Counting with OpenCV, Tensorflow, dlib, Machine Learning , Deep Learning
Ratings 3.79 / 5.00
What You Will Learn!
- Brief introduction of Object Detection, Tracking and Counting
- Installation of all prerequisites
- Workflow & System Architecture
- Write and Run the Code for Cumulative Counting of Objects in Video
- Write and Run the Code for Real-Time Counting of Objects
- Write and Run Code for Object Tracking
- Detect the targeted or all objects
- Count the targeted or all objects
- Predict the Color of targeted or all objects
- Predict the speed of targeted or all objects
- Export results in csv file
- Object detection with Viola Jones
- Object Detection with Alex-Net
- Object Detection with R-CNN
- Object Detection With Yolo
- Object Detection with SSD
Description
Introduction of Object Detection, Counting & Tracking
Installation of all prerequisites to write the code for object detection, counting & tracking on Mac Machine
Workflow and System Architecture
Write and Run the Code for
Write and Run the code for object detection, tracking and counting with dlib
Write and Run the code for object detection using deep learning with OpenCV
Write and Run the Code for Cumulative Counting of Objects in Video
Write and Run the Code for Real-Time Counting of Objects
Write and Run Code for Object Tracking
Detect the targeted or all objects
Count the targeted or all objects
Predict the colour of targeted or all objects
Predict the speed of targeted or all objects
Export results in csv file
Who Should Attend!
- Python Developer
- RFID Engineers
- Robotics Engineer
- Startup Founders & Tech Savy
- Self Driving Cars
- Computer Vision
- Security Surveillance Engineer
Tags
- OpenCV
- TensorFlow
- Object Detection
Subscribers
177
Lectures
19
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