Riadok 47: Riadok 47:
 
*8.12. Deep learning for computer vision, online cez Teams [https://docs.google.com/presentation/d/1aZ0iLF1DM8TtB_J6rGyWVRGHP7EhJiTeQeWlV3z7pVE/edit?usp=sharing slides]
 
*8.12. Deep learning for computer vision, online cez Teams [https://docs.google.com/presentation/d/1aZ0iLF1DM8TtB_J6rGyWVRGHP7EhJiTeQeWlV3z7pVE/edit?usp=sharing slides]
 
*15.12. Exam, online cez Teams
 
*15.12. Exam, online cez Teams
--->
+
 
 
== Labs ==
 
== Labs ==
 
Points [https://docs.google.com/spreadsheets/d/12DMrmDswrCqdNMd-02RpbbzofmYk-PGfbWB-kJwHDBA/edit?usp=sharing table]
 
Points [https://docs.google.com/spreadsheets/d/12DMrmDswrCqdNMd-02RpbbzofmYk-PGfbWB-kJwHDBA/edit?usp=sharing table]

Verzia zo dňa a času 13:03, 19. september 2023

Fundamentals of Computer Graphics and Image Processing 1-AIN-301

Course information sheet >

Lectures
Martin Madaras
Zuzana Berger Haladová
Excercises
Zuzana Berger Haladová

Grading

You can get 100 points (p) during semester, where 1pt = 1% of final grade

  • Final writen exam: 50p
  • Excercises: 50p (with minimum of 30p)
    • 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part)
    • Attendance: 10x1p

Materials