Computer Vision

From pixels to understanding across image, video, and 3D.

Цена: 10 032 ₽

Длительность: 23 ч

Автор: John Jackson

Программа курса

  1. Image Fundamentals — Pixels, Channels, Color Spaces
  2. Convolutions from Scratch
  3. CNNs — LeNet to ResNet
  4. Image Classification
  5. Transfer Learning & Fine-Tuning
  6. Object Detection — YOLO from Scratch
  7. Semantic Segmentation — U-Net
  8. Instance Segmentation — Mask R-CNN
  9. Image Generation — GANs
  10. Image Generation — Diffusion Models
  11. Stable Diffusion — Architecture & Fine-Tuning
  12. Video Understanding — Temporal Modeling
  13. 3D Vision — Point Clouds & NeRFs
  14. Vision Transformers (ViT)
  15. Real-Time Vision — Edge Deployment
  16. Build a Complete Vision Pipeline — Capstone
  17. Self-Supervised Vision — SimCLR, DINO, MAE
  18. Open-Vocabulary Vision — CLIP
  19. OCR & Document Understanding
  20. Image Retrieval & Metric Learning
  21. Keypoint Detection & Pose Estimation
  22. 3D Gaussian Splatting from Scratch
  23. Diffusion Transformers & Rectified Flow
  24. SAM 3 & Open-Vocabulary Segmentation
  25. Vision-Language Models — The ViT-MLP-LLM Pattern
  26. Monocular Depth & Geometry Estimation
  27. Multi-Object Tracking & Video Memory
  28. World Models & Video Diffusion
  29. Итоговое задание