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Technologies / Artificial Intelligence

Python and Deep Learning with OpenCV 4 - advanced computer vision techniques

Advanced training combining deep learning techniques with the OpenCV 4 library in computer vision applications. Participants will learn methods for implementing neural networks for image analysis and practical applications in object recognition and image processing. The program is implemented through workshops with real use cases.

Issues

  • Deep Neural Networks

  • Object Detection

  • Face Recognition

  • Image Segmentation

  • Feature Extraction

  • Real-time Processing

  • GPU Acceleration

  • Model Optimization

  • Video Analysis

  • Deployment Strategies

Benefits

  • The participant will learn to use deep learning in computer vision projects
  • The participant will gain the ability to implement advanced image processing algorithms
  • The participant will be able to develop real-time object recognition systems
  • The participant will learn techniques for optimizing deep learning models
  • The participant will develop skills in video analysis
  • The participant will know how to implement computer vision solutions in practice

Who is this training for?

Computer vision specialists
Data Scientists
AI/ML programmers
R&D Engineers
Researchers and scientists
Python programmers working with images

Prerequisites

  • Knowledge of the basics of deep learning
  • Experience in Python programming
  • Basic knowledge of OpenCV
  • Knowledge of linear algebra

Training program

01

DNN module architecture

  • Pre-trained models
  • Model optimization
02

Custom networks

  • Detection and recognition
  • Object detection
  • Face recognition
03

Pose estimation

  • Text detection
  • Image processing
  • Image segmentation
  • Feature extraction
  • Real-time processing
04

Video analysis

  • Practical implementations
  • Pipeline development
  • Performance optimization
  • GPU acceleration
  • Deployment strategies

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Python and Deep Learning with OpenCV 4 - advanced computer vision techniques we recommend: Knowledge of the basics of deep learning; Experience in Python programming; Basic knowledge of OpenCV.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Computer vision specialists; Data Scientists; AI/ML programmers.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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